<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article article-type="research-article" dtd-version="2.3" xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mol. Biosci.</journal-id>
<journal-title>Frontiers in Molecular Biosciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mol. Biosci.</abbrev-journal-title>
<issn pub-type="epub">2296-889X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1008908</article-id>
<article-id pub-id-type="doi">10.3389/fmolb.2022.1008908</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Molecular Biosciences</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Untargeted muscle tissue metabolites profiling in young, adult, and old rats supplemented with tocotrienol-rich fraction</article-title>
<alt-title alt-title-type="left-running-head">Saud Gany et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmolb.2022.1008908">10.3389/fmolb.2022.1008908</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Saud Gany</surname>
<given-names>Siti Liyana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1971905/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tan</surname>
<given-names>Jen Kit</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1105990/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chin</surname>
<given-names>Kok Yong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/452731/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hakimi</surname>
<given-names>Nur Haleeda</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2019375/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ab Rani</surname>
<given-names>Nazirah</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2020906/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ihsan</surname>
<given-names>Nurhazirah</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Makpol</surname>
<given-names>Suzana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/559215/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Biochemistry</institution>, <institution>Faculty of Medicine</institution>, <institution>Universiti Kebangsaan Malaysia Medical Centre</institution>, <addr-line>Kuala Lumpur</addr-line>, <country>Malaysia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Pharmacology</institution>, <institution>Faculty of Medicine</institution>, <institution>Universiti Kebangsaan Malaysia Medical Centre</institution>, <addr-line>Kuala Lumpur</addr-line>, <country>Malaysia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Menara Sime Darby Oasis Corporate Park</institution>, <addr-line>Petaling Jaya</addr-line>, <country>Malaysia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1905598/overview">Xiaoyang Su</ext-link>, Rutgers, The State University of New Jersey, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1954341/overview">Zhaoyue Zhang</ext-link>, The Rockefeller University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1141441/overview">Lin Wang</ext-link>, Chinese Academy of Medical Sciences and Peking Union Medical College, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Suzana Makpol, <email>suzanamakpol@ppukm.ukm.edu.my</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Metabolomics, a section of the journal Frontiers in Molecular Biosciences</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>10</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>1008908</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>08</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>09</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Saud Gany, Tan, Chin, Hakimi, Ab Rani, Ihsan and Makpol.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Saud Gany, Tan, Chin, Hakimi, Ab Rani, Ihsan and Makpol</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The greatest significant influence on human life span and health is inevitable ageing. One of the distinguishing characteristics of ageing is the gradual decrease of muscle mass and physical function. There has been growing evidence that tocotrienol can guard against age-associated chronic diseases and metabolic disorders. This study aimed to elucidate the effects of tocotrienol-rich fraction (TRF) on muscle metabolomes and metabolic pathways in ageing Sprague Dawley (SD) rats. Three months, 9&#xa0;months, and 21&#xa0;months old male SD rats were divided into control and treated groups with 10 rats per group. Rats in control and treated groups were given 60&#xa0;mg/kg body weight/day of palm olein and 60&#xa0;mg/kg body weight/day of TRF, respectively, <italic>via</italic> oral gavage for 3&#xa0;months. Muscle performance was assessed at 0 and 3&#xa0;months of treatment by measuring muscle strength and function. Our results showed that TRF treatment caused a significant increase in the swimming time of the young rats. Comparison in the control groups showed that metabolites involved in lipid metabolisms such as L-palmitoyl carnitine and decanoyl carnitine were increased in ageing. In contrast, several metabolites, such as 3-phosphoglyceric acid, aspartic acid and aspartyl phenylalanine were decreased. These findings indicated that muscle metabolomes involved in lipid metabolism were upregulated in aged rats. In contrast, the metabolites involved in energy and amino acid metabolism were significantly downregulated. Comparison in the TRF-supplemented groups showed an upregulation of metabolites involved in energy and amino acid metabolism. Metabolites such as N6-methyl adenosine, spermine, phenylalanine, tryptophan, aspartic acid, histidine, and N-acetyl neuraminic acid were up-regulated, indicating promotion of amino acid synthesis and muscle regeneration. Energy metabolism was also improved in adult and old rats with TRF supplementation as indicated by the upregulation of nicotinamide adenine dinucleotide and glycerol 3-phosphate compared to the control group. In conclusion, the mechanism underlying the changes in skeletal muscle mass and functions in ageing was related to carbohydrate, lipid and amino acid metabolism. Tocotrienol supplementation showed beneficial effects in alleviating energy and amino acid synthesis that may promote the regeneration and renewal of skeletal muscle in ageing rats.</p>
</abstract>
<kwd-group>
<kwd>tocotrienol</kwd>
<kwd>sarcopenia</kwd>
<kwd>untargeted metabolites</kwd>
<kwd>skeletal muscle</kwd>
<kwd>ageing</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The greatest significant influence on human life span and health is inevitable ageing. Most individuals on earth are middle-aged or older, and in high-income nations, the proportion of those over 60 is increasing faster than that of any other age group (<xref ref-type="bibr" rid="B6">Beard et al., 2016</xref>). The number of Americans 65&#xa0;years old and above was anticipated to be around 43.1 million in 2012, and by the year 2050, it is expected to increase to 83.7 million (<xref ref-type="bibr" rid="B61">Ortman et al., 2014</xref>). By 2050, 1.6 billion people over 65 are expected to live on the planet (<xref ref-type="bibr" rid="B72">Roberts et al., 2018</xref>). This demographic transformation is one of the most significant socio-economic issues of the current decade because ageing is linked to several comorbidities that lead to fast-rising health care expenses (<xref ref-type="bibr" rid="B30">Gasior et al., 2012</xref>). One of the distinguishing characteristics of ageing is the gradual decrease of muscle mass and physical function, often known as sarcopenia (<xref ref-type="bibr" rid="B73">Roubenoff, 2000</xref>). Sarcopenia typically begins in the fifth decade of life (<xref ref-type="bibr" rid="B56">Miljkovic et al., 2015</xref>; <xref ref-type="bibr" rid="B22">Cruz-Jentoft et al., 2010</xref>; <xref ref-type="bibr" rid="B19">Clark and Manini, 2012</xref>). It can affect mobility and increase the risk of falling, thus increasing the cost of healthcare and hospitalisation, which increases the economic burden within the society (<xref ref-type="bibr" rid="B18">Chung et al., 2018</xref>). Since sarcopenia is now recognised as a significant clinical phenomenon, interdisciplinary efforts are being made to recognise, comprehend, prevent and treat this disorder (<xref ref-type="bibr" rid="B21">Cooper et al., 2013</xref>; <xref ref-type="bibr" rid="B71">Jean-Yves Reginster, 2016</xref>).</p>
<p>Insight into the molecular mechanisms that cause ageing has advanced remarkably. Sarcopenia may result from various age-related molecular and cellular damage, also known as the hallmarks or pillars of ageing. These include loss of proteostasis, dysregulated nutrient sensing, stem cell exhaustion/dysfunction, cellular senescence, genomic instability, mitochondrial dysfunction and epigenetic alterations (<xref ref-type="bibr" rid="B51">L&#xf3;pez-Ot&#xed;n et al., 2013</xref>) (<xref ref-type="bibr" rid="B41">Kennedy et al., 2014</xref>). One of the most significant roles of skeletal muscle is its exceptional ability to produce force and power. Strength, or the maximum capacity of skeletal muscle to generate force, is a function of the muscle&#x2019;s cross-sectional area and the nervous system&#x2019;s ability to activate the corresponding motor fully. According to cross-sectional research, older adults strongly correlate muscle size and maximum strength. However, a more nuanced association has been found in studies that tracked changes in muscle strength and mass over time (<xref ref-type="bibr" rid="B32">Goodpaster et al., 2006</xref>) (<xref ref-type="bibr" rid="B47">Lauretani et al., 2003</xref>).</p>
<p>The simultaneous decrease of skeletal muscle mass and strength with age affects independence and quality of life by reducing locomotor performance and jeopardising metabolic health. This is shown in the solid epidemiological links between sarcopenia and dynapenia, risk of non-communicable diseases (such as diabetes, chronic obstructive pulmonary disease and cancer), and ensuing morbidity and mortality (<xref ref-type="bibr" rid="B59">Nichols et al., 2019</xref>; <xref ref-type="bibr" rid="B58">Newman et al., 2006</xref>). Developing methods for stratification, identifying targets for treatment, and triaging those in need of early intervention could all be accomplished by identifying molecular signals linked to muscle ageing (<xref ref-type="bibr" rid="B79">Sood et al., 2015</xref>; <xref ref-type="bibr" rid="B84">Xia et al., 2013</xref>).</p>
<p>In recent years, utilising omics technologies (such as transcriptomics, proteomics and metabolomics) has allowed researchers to better understand the underlying causes of various illness states and create biomarkers for either diagnosis or prognosis (<xref ref-type="bibr" rid="B7">Bhattacharya et al., 2014</xref>; <xref ref-type="bibr" rid="B90">Zierer et al., 2015</xref>). For instance, metabolomic methods have already provided insight into alterations in the muscle metabolome with ageing. A recent study by Fazelzadeh and others into age-related changes in muscle metabolome revealed that metabolites linked to mitochondrial function, fibre type and tissue turnover varied between age groups (<xref ref-type="bibr" rid="B25">Fazelzadeh et al., 2016</xref>). It is anticipated that local levels of metabolites will reflect the age-related changes in gene expression levels in muscle. According to a recent animal study, age impacts muscle glucose and fatty acid metabolism (<xref ref-type="bibr" rid="B39">Houtkooper et al., 2011</xref>). In another study, it was found that ageing causes changes in lipid and glucose metabolism that are specific to certain muscle groups and are consistent with mitochondrial dysfunction (<xref ref-type="bibr" rid="B29">Garvey et al., 2014</xref>).</p>
<p>Intriguingly, baseline levels of metabolites from the tricarboxylic acid cycle were reported to be lower in healthy older adults than in younger people in muscle biopsies. These differences were accompanied by lower concentrations of ATP, ADP, branched-chain amino acids, and acylcarnitine in older, healthy subjects, suggesting impaired mitochondrial function or a lower number of mitochondria in the older subjects&#x2019; muscle, which in turn may be a result of the older subjects&#x2019; lower habitual physical activity (<xref ref-type="bibr" rid="B25">Fazelzadeh et al., 2016</xref>). Biochemical features of mammals&#x2019; skeletal muscle have been shown to change in the course of ageing, mainly within the energy metabolism system (<xref ref-type="bibr" rid="B24">Ermini 1976</xref>). This study looks into untargeted metabolomics whereby all the low molecular weight compounds or metabolites that are present and participate in biochemical reactions at a particular time are captured and quantified (<xref ref-type="bibr" rid="B38">Horgan and Kenny 2011</xref>). Utilising a metabolomic-based approach could provide insight into the overall molecular mechanisms of disease progressions and how a therapeutic agent works at a metabolic level.</p>
<p>The metabolic basis of sarcopenia is not very much known, and there have been no reports on how tocotrienol can affect the metabolic profiling of skeletal muscle in ageing and sarcopenia. Sarcopenia has been shown to decrease metabolic activities in mitochondria, muscle, kidney, and methylation compared with the declined metabolic activities for antioxidation in frailty (<xref ref-type="bibr" rid="B40">Kameda et al., 2020</xref>). There has been growing evidence that tocotrienol, which is a vitamin E isomer, can prevent the onset of age-related chronic illnesses and metabolic disturbances, like obesity (<xref ref-type="bibr" rid="B89">Zhao et al., 2016</xref>; <xref ref-type="bibr" rid="B28">Fukui 2019</xref>; <xref ref-type="bibr" rid="B62">Pang and Chin 2019</xref>), cardiovascular disease (<xref ref-type="bibr" rid="B69">Ramanathan et al., 2018</xref>), type-2 diabetes mellitus (<xref ref-type="bibr" rid="B17">Chung et al., 2020</xref>; <xref ref-type="bibr" rid="B52">Mahjabeen et al., 2021</xref>), arthritis (<xref ref-type="bibr" rid="B35">Haleagrahara et al., 2014</xref>; <xref ref-type="bibr" rid="B68">Radhakrishnan et al., 2014</xref>; <xref ref-type="bibr" rid="B16">Chin et al., 2019</xref>), osteoporosis (<xref ref-type="bibr" rid="B78">Shen et al., 2017</xref>) and sarcopenia (<xref ref-type="bibr" rid="B42">Khor et al., 2014</xref>; <xref ref-type="bibr" rid="B43">Khor et al., 2016</xref>; <xref ref-type="bibr" rid="B18">Chung et al., 2018</xref>; <xref ref-type="bibr" rid="B48">Lim et al., 2019</xref>).</p>
<p>Vitamin E comprises two subgroups: tocopherols and tocotrienols (<xref ref-type="bibr" rid="B75">Schneider 2005</xref>). It has been established that tocotrienols have superior anti-inflammatory and antioxidant activities compared to &#x3b1;-tocopherols (<xref ref-type="bibr" rid="B64">Peh et al., 2016</xref>). Palm oil is the most abundant source of tocotrienols, referred to as tocotrienol-rich fraction (TRF). Using palm oil as a lipid carrier appears to enhance the bioavailability and solubility of the treatment, improving the permeability and effectiveness of medications, stabilising the emulsification of formulation between emulsifier and surfactant, and extending the shelf life of the therapeutic agent. Palm oil has demonstrated beneficial behaviour in giving variety in medicine design, shape and delivery (<xref ref-type="bibr" rid="B34">Goon et al., 2019</xref>). The long-chain triglycerides in palm oil are enzymatically processed before being taken up by enterocytes and absorbed into the bloodstream (<xref ref-type="bibr" rid="B34">Goon et al., 2019</xref>).</p>
<p>The skeletal muscle ageing process is typically accompanied by impaired muscle metabolism, including mitochondrial dysfunction and insulin resistance (<xref ref-type="bibr" rid="B23">Distefano and Goodpaster, 2017</xref>). However, strategies to slow ageing have mostly failed to achieve their desired response. As a result, the current study aimed to identify any potential impacts of TRF on several metabolic pathways in the ageing Sprague Dawley rat&#x2019;s muscle tissue.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Animal model</title>
<p>Three months old, 9&#xa0;months old and 21&#xa0;months old male Sprague Dawley (SD) rats were purchased from Laboratory Animal Resources Unit (LARU), University Kebangsaan Malaysia. They were separated into three groups of young (3&#xa0;months old), adult (9&#xa0;months old) and old (21&#xa0;months old). Rats in each group were further divided into subgroups of control and treated groups with 10 rats per group. After a week of acclimatisation, rats were housed one per cage and provided food and water <italic>ad libitum</italic>. Rats in control and treated groups were given 60&#xa0;mg/kg body weight/day of refined, bleached, and deodorised (RBD) palm olein (Sime-Darby Plantation Berhad) and 60&#xa0;mg/kg body weight/day of tocotrienol-rich fraction (TRF) (Sime-Darby Plantation Berhad) <italic>via</italic> oral gavage for 3&#xa0;months respectively. Muscle function tests were performed at 0 months before the start of the TRF administration and after 3&#xa0;months of TRF administration. Blood samples were also taken <italic>via</italic> retro-orbital sinus at 0 months, 1.5 and 3 months of TRF administration. After 3&#xa0;months of the TRF administration, the rats were sacrificed, and organs were harvested, including the gastrocnemius and soleus muscle from both hind legs. They were snap frozen and stored at &#x2212;80&#xb0;C until further analyses. The University Kebangsaan Malaysia ethical committee approved all animal protocols used in this study with approval number BIOK/FP/2020/SUZANA/25-MAR/1099-MAR-2020-DEC.2022.</p>
</sec>
<sec id="s2-2">
<title>2.2 Vitamin E preparation</title>
<p>TRF (Golden Tri&#x2122; E 70) and RBD palm olein were a gift from Sime Darby Plantation Berhad. TRF consists of 24% &#x3b1;-tocopherol, 27% &#x3b1;-tocotrienol, 4% &#x3b2;-tocotrienol, 32% &#x3b3;-tocotrienol and 14% &#x3b4;-tocotrienol in every Gram of TRF. RBD palm olein consist of 0.054% free fatty acids, 0.043% moisture and impurities, 0.45% peroxide values and 64.71% iodine value. 60&#xa0;mg/kg body weight of TRF was administered to the rats in the treated group over 3&#xa0;months. TRF mixture was prepared every week in a dark room by adding 2.4&#xa0;g of TRF into 40&#xa0;ml of RBD palm olein in a falcon tube and vortexed until thoroughly mixed. The falcon tube was wrapped with aluminium foil to protect it from sunlight and kept at 4&#xb0;C.</p>
</sec>
<sec id="s2-3">
<title>2.3 Muscle function tests</title>
<sec id="s2-3-1">
<title>2.3.1 Weight-loaded performance swim test</title>
<p>Experimental rats were loaded with the weight of 3% body weight at the base of the tail and forced to swim in the water of 22 &#xb1; 1&#xb0;C temperature and 30&#xa0;cm depth. The time from when the rats were put in the water to the point at which rats failed to return to the water surface within 10&#xa0;s was recorded as exhaustion time.</p>
</sec>
</sec>
<sec id="s2-4">
<title>2.3.2 Grid-hang test</title>
<p>The rat was placed onto the cage lid. The rat was allowed to accommodate to the environment for 3&#x2013;5&#xa0;s before the lid was turned over slowly and held at least 30&#xa0;cm over a rat cage containing 5&#x2013;7&#xa0;cm soft bedding. The cage lid hang time (seconds) is defined as the amount of time it takes the rat to fall from the inverted lid. The hang time was measured from the time the lid was inverted to the time that the rat fell off the lid (determined visually and measured using a stopwatch). The procedure was repeated three times with a rest interval between hang attempts of 2&#x2013;3&#xa0;min. The &#x201c;Holding Impulse&#x201d; which is associated with the hanging test is equivalent to the hang time multiplied by the body weight (gm sec or Newtons&#xa0;sec; with a conversion factor&#x2014;9.806 &#xd7; 10<sup>&#x2013;3</sup>&#xa0;N/gm).</p>
</sec>
<sec id="s2-5">
<title>2.4 Euthanization of animals</title>
<p>On day 90 of the study, all rats were fasted for the night before being sacrificed for necropsy analysis. The combination of ketamine, xylazine and zoletil-50 (tiletamine and zolazepam) known as KTX agents was utilised as the anaesthetic in this study. The lower right quadrant of the abdomen was chosen for intraperitoneal injection of the KTX agents because of their speed, effectiveness, and lack of discomfort. Each rat received 0.1&#xa0;ml/250&#xa0;g of body weight KTX. The rats were then left for about 30&#xa0;min to allow the KTX agents to give their sedative effects. This was observed by clinical indicators which include confusion and loss of consciousness, depression of respiration or rapid, irregular breathing, steadily declining heart rate and blood pressure, as well as urine and defecation. The rats were afterwards euthanised by decapitation using a decapitator from Modiezhan Sdn. Bhd, Kuala Lumpur, Malaysia.</p>
</sec>
<sec id="s2-6">
<title>2.5 Collection of organs</title>
<p>The sacrificed rats&#x2019; internal organs, including the brain, heart, lungs, liver, spleen, kidneys, gastrocnemius muscle and soleus muscle were dissected. The weight of the organs was taken as promptly as possible to prevent drying, and they were examined in relation to the body weight of the animals after being washed with 90% normal saline to remove any adhering tissue. The organs were then kept frozen in a -80&#xb0;C freezer.</p>
</sec>
<sec id="s2-7">
<title>2.6 Tissue sample preparation</title>
<p>Gastrocnemius muscle was thawed, and 1&#xa0;g of tissue was dissected. Samples were cut into smaller pieces using scissors and transferred to a 15&#xa0;ml tube. 1&#xa0;ml of mass spec water was added into the tube and the samples were sonicated in ice. Samples were kept homogenated at -80&#xb0;C until ready to be used.</p>
</sec>
<sec id="s2-8">
<title>2.7 Metabolomic analysis by UHPLC-MS/MS</title>
<p>A muscle tissue sample was thawed and placed in a glass tube filled with one ul Avanti (internal standard), 800 ul 100% methanol (MeOH) and subsequently vortexed. Then, 1.6&#xa0;ml 100% Dicromethane (DCM) was added using a glass pipette and incubated in a vortex at room temperature for 1&#xa0;hour at 300&#xa0;rpm. After that, 600&#xa0;ul of distilled water was added to form two layers. The sample was then vortexed for 1,000 &#xd7; g for 10&#xa0;min at room temperature. Then 1.0&#xa0;ml lower phase (organic/lipid) was collected in a new glass tube and dried at 1,000&#xa0;rpm at room temperature in a centrifuge vacuum. Then 1.0&#xa0;ml upper phase (aqueous/polar/metabolomic) was collected and dried. The dried extracts were kept at &#x2212;80&#xb0;C. When the samples were ready to run, it was reconstituted with 100&#xa0;ul isopropanol:MeOH (1:1) and 100&#xa0;ul was transferred through a filter to vials using syringe and syringe filters. For the quality control (QC) sample, 5&#xa0;uL of all samples were mixed from each vial into a tube, spun down, and 100&#xa0;ul were transferred into a vial and capped (<xref ref-type="bibr" rid="B33">Goon et al., 2021</xref>). The vials were randomly placed into the Liquid Chromatography-Mass Spectrometry and run for 3&#xa0;days. Untargeted metabolomics analysis was performed using the UHPLC system (Dionex Ultimate 3,000; Thermo specific) and Orbitrap-MS (Q Exactive HF, Thermo Scientific).</p>
</sec>
<sec id="s2-9">
<title>2.8 Statistical analysis</title>
<p>Metabolomic profiles were compared among groups using MetaboAnalyst 5.0 software. Principal component analysis (PCA) was used to perform multivariate data analysis. Data sets were then scaled and processed to minimise technical variability between individual samples before extracting pertinent biological information (<xref ref-type="bibr" rid="B82">van den Berg et al., 2006</xref>). T-tests and fold-change analysis were conducted (<xref ref-type="bibr" rid="B85">Xia and Wishart 2016</xref>). A <italic>p</italic>-value of 0.05 was regarded as statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Result</title>
<sec id="s3-1">
<title>3.1 Measurement of exhaustion time <italic>via</italic> weight-loaded performance swim test</title>
<p>The exhaustion time was significantly decreased at 3 months in adult control rats (AC) and old control rats (OC) as compared to young control rats (YC) <bold>(</bold>
<xref ref-type="fig" rid="F1">Figure 1A</xref>
<bold>).</bold> Treatment with TRF significantly increased the exhaustion time at 3&#xa0;months of young treated rats (YT) as compared to YC. No significant change was observed in the adult and old treated groups after 3&#xa0;months of TRF treatment.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<bold>(A)</bold> Weight-loaded performance swim test. <bold>(B)</bold>. Hang time. <bold>(C)</bold> Holding Impulse. Data are presented as mean &#xb1; SD. &#x2a;<italic>p</italic> &#x3c; 0.05, significantly different compared to control, <sup>a</sup>
<italic>p</italic> &#x3c; 0.05, significantly different compared to young control rats; <sup>b</sup>p &#x3c; 0.05, significantly different compared to young treated rats; <sup>c</sup>p &#x3c; 0.05, significantly different compared to adult control rats. Data was analysed using one way ANOVA with a post hoc LSD.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g001.tif"/>
</fig>
<p>As for the grid hang test, we did not obtain any significant differences between the control and treated groups of rats.</p>
</sec>
<sec id="s3-2">
<title>3.2 Measurement of hang time and holding impulse</title>
<p>Results showed a significant decrease in the hang time of adult and old control rats compared to young control rats after 3 months. However, no significant change was observed in the hang time and holding impulse after 3&#xa0;months of TRF treatment <bold>(</bold>
<xref ref-type="fig" rid="F1">Figure 1B,C</xref>
<bold>)</bold>.</p>
</sec>
<sec id="s3-3">
<title>3.3 Differential metabolomic analysis between control and treated groups</title>
<p>Principle component analysis (PCA) of young control rats (YC) against adult control rats (AC) generated a 39.6% variation in AC when compared to YC in the positive mode, whereby the PC1 score was 24.5%, and PC2 score was 15.1% <bold>(</bold>
<xref ref-type="sec" rid="s12">Supplementary Figure S1A</xref>
<bold>)</bold>. The PCA score plot for negative mode described a variation of 42.3% with 27.1% of PC1 and 15.2% of PC2 <bold>(</bold>
<xref ref-type="sec" rid="s12">Supplementary Figure S1B</xref>
<bold>)</bold>. PCA score plot showed good separation in positive mode but slight overlapping in negative mode.</p>
<p>PCA of YC against old control rats (OC) generated 52.4% variation in OC compared to YC in the positive mode whereby the PC1 score was 39% and PC2 score was13.4% <bold>(</bold>
<xref ref-type="sec" rid="s12">Supplementary Figure S1C</xref>
<bold>)</bold>. The PCA score plot for negative mode described a variation of 56.2% with 42.9% of PC1 and 13.3% of PC2 (<xref ref-type="sec" rid="s12">Supplementary Figure S1D</xref>). PCA score plot showed good separation in both positive and negative modes.</p>
<p>PCA of AC against OC generated 53.3% variation in OC compared to AC in the positive mode, whereby the PC1 score was 38.7%, and the PC2 score was 14.6% (<xref ref-type="sec" rid="s12">Supplementary Figure S1E</xref>). The PCA score plot for negative mode described a variation of 59.8% with 45.4% of PC1 and 14.4% of PC2 (<xref ref-type="sec" rid="s12">Supplementary Figure S1F</xref>). PCA score plot showed good separation in both positive and negative modes.</p>
<p>PCA of YC against young treated (YT) generated a 35.7% variation in YT compared to YC in the positive mode, whereby the PC1 score was 20.7%, and the PC2 score was 15% <bold>(</bold>
<xref ref-type="sec" rid="s12">Supplementary Figure 2A</xref>
<bold>).</bold> The PCA score plot for negative mode described a variation of 43.7% with 24.8% of PC1 and 18.9% of PC2 <bold>(</bold>
<xref ref-type="sec" rid="s12">Supplementary Figure 2B</xref>). PCA score plot showed overlapping in both positive and negative modes.</p>
<p>PCA of AC against adult treated (AT) showed 39.1% variation in AT compared to AC in the positive mode whereby PCI score was 22.3%, and PC2 score was 16.8% (<xref ref-type="sec" rid="s12">Supplementary Figure 2C</xref>). The PCA score plot for negative mode described a variation of 45.3% with 27.5% of PC1 and 17.8% of PC2 (<xref ref-type="sec" rid="s12">Supplementary Figure 2D</xref>). PCA score plot showed overlapping in both positive and negative modes.</p>
<p>PCA of OC against old treated (OT) showed 54% variation in OT compared to OC in the positive mode whereby PC1 score was 40.8%, and PC2 score was 13.2% (<xref ref-type="sec" rid="s12">Supplementary Figure 2E</xref>). The PCA score plot for negative mode described a variation of 54.9% with 35.3% of PC1 and 19.6% of PC2 (<xref ref-type="sec" rid="s12">Supplementary Figure 2F</xref>). PCA score plot showed overlapping in both positive and negative modes.</p>
</sec>
<sec id="s3-4">
<title>3.4 Metabolites profiling and regulation in control and treated groups of rats</title>
<p>Control groups were compared between young, adult and old groups to study the effect of age on the expression of metabolites. A comparison between YC and AC generated 19 identified metabolites from 81 metabolic features (<xref ref-type="table" rid="T1">Table 1</xref>). L-Palmitoyl carnitine was the most up-regulated metabolite in AC, followed by decanoyl carnitine and glycerol 3-phosphate. In contrast, 3-phosphoglyceric acid was the most down-regulated metabolite followed by several other metabolites such as phosphoenol pyruvic acid, aspartyl phenylalanine and nicotinamide adenine dinucleotide. A comparison between YC and OC generated a total of 53 identified metabolites from 81 metabolic features (<xref ref-type="table" rid="T2">Table 2</xref>). Decanoyl carnitine was the most up-regulated metabolite in OC followed by L-palmitoyl carnitine. In contrast, the majority of the metabolites in OC were downregulated such as aspartyl phenylalanine (the most down-regulated metabolite) followed by amino acids such as arginine, aspartic acid, glutamic acid, histidine, leucine/isoleucine, lysine, phenylalanine, tryptophan, tyrosine and valine. A comparison between AC and OC generated 53 identified metabolites from 81 metabolic features (<xref ref-type="table" rid="T3">Table 3</xref>). Glycerol 3-phosphate was the most up-regulated metabolite in OC followed by mannose 6-phosphate/fructose 1-phosphate/fructose 6-phosphate/glucose 6-phosphate and 3-phosphoglyceric acid. In contrast, most of the metabolites in OC were downregulated with leucyl-glycine being the most down-regulated metabolite followed by other amino acids.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>List of significant metabolites in AC against YC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Mode</th>
<th align="left">Metabolite</th>
<th align="left">ID</th>
<th align="left">MW</th>
<th align="left">RT</th>
<th align="left">FC</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x2b;</td>
<td align="left">2,4-Dihydroxybenzophenone</td>
<td align="left">mzc604</td>
<td align="left">214.0623</td>
<td align="left">0.547</td>
<td align="left">&#x2b;1.19</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Aspartylphenylalanine</td>
<td align="left">HMDB0000706</td>
<td align="left">280.1055</td>
<td align="left">3.793</td>
<td align="left">&#x2212;12.88</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Bis(4-ethylbenzylidene)sorbitol</td>
<td align="left">mzc7437</td>
<td align="left">414.2036</td>
<td align="left">10.691</td>
<td align="left">&#x2212;1.26</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Cytosine</td>
<td align="left">HMDB0000630</td>
<td align="left">111.0434</td>
<td align="left">0.722</td>
<td align="left">&#x2b;1.40</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Decanoylcarnitine</td>
<td align="left">HMDB0000651</td>
<td align="left">315.2402</td>
<td align="left">8.324</td>
<td align="left">&#x2b;4.69</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Ketamine</td>
<td align="left">HMDB0015352</td>
<td align="left">237.0916</td>
<td align="left">4.973</td>
<td align="left">&#x2212;2.12</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">L-Palmitoylcarnitine</td>
<td align="left">HMDB0000222</td>
<td align="left">399.3341</td>
<td align="left">11.574</td>
<td align="left">&#x2b;10.74</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Methacholine</td>
<td align="left">HMDB0015654</td>
<td align="left">159.1257</td>
<td align="left">0.874</td>
<td align="left">&#x2212;3.12</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Nicotinamide adenine dinucleotide</td>
<td align="left">HMDB0000902</td>
<td align="left">663.108</td>
<td align="left">1.151</td>
<td align="left">&#x2212;7.19</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Pipecolic acid</td>
<td align="left">HMDB0000070/HMDB0005960/HMDB0000716</td>
<td align="left">129.079</td>
<td align="left">0.821</td>
<td align="left">&#x2212;1.70</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Spermine</td>
<td align="left">HMDB0001256</td>
<td align="left">202.2156</td>
<td align="left">0.369</td>
<td align="left">&#x2212;2.26</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Uric acid</td>
<td align="left">HMDB0000289</td>
<td align="left">168.0282</td>
<td align="left">0.955</td>
<td align="left">&#x2b;2.97 (&#x2b;2.90)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Xylazine</td>
<td align="left">HMDB0259938</td>
<td align="left">220.1031</td>
<td align="left">5.268</td>
<td align="left">&#x2212;3.05</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">3-Phosphoglyceric acid</td>
<td align="left">HMDB0000807</td>
<td align="left">185.9922</td>
<td align="left">0.524</td>
<td align="left">&#x2212;40.86</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Citric acid</td>
<td align="left">HMDB0000094</td>
<td align="left">192.0262</td>
<td align="left">0.911</td>
<td align="left">&#x2b;4.19</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glyceric acid</td>
<td align="left">HMDB0000139</td>
<td align="left">106.0256</td>
<td align="left">0.596</td>
<td align="left">&#x2212;2.41</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glycerol 3-phosphate</td>
<td align="left">HMDB0000126</td>
<td align="left">172.0128</td>
<td align="left">0.522</td>
<td align="left">&#x2b;7.30</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Mannose 6-phosphate/Fructose 1-phosphate/Beta-D-Fructose 6-phosphate/Glucose 1-phosphate/</td>
<td align="left">HMDB0001078/HMDB0001076/HMDB0003971/HMDB0001586/HMDB0001401</td>
<td align="left">260.0295</td>
<td align="left">0.517</td>
<td align="left">&#x2212;2.98</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Phosphoenolpyruvic acid</td>
<td align="left">HMDB0000263</td>
<td align="left">167.9816</td>
<td align="left">0.601</td>
<td align="left">&#x2212;18.07</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>YC, as denominator.</p>
</fn>
<fn>
<p>FC: positive mode (negative mode).</p>
</fn>
<fn>
<p>Potential metabolite identified by cross referencing with mzCloud data (&#x5e;).</p>
</fn>
<fn>
<p>Symbol: (&#x2b;) increase; (-) decrease.</p>
</fn>
<fn>
<p>Acronym: FC (fold change); m/w (molecular weight); RT (retention time).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>List of metabolites in OC against YC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Mode</th>
<th align="left">Metabolite</th>
<th align="left">ID</th>
<th align="left">MW</th>
<th align="left">RT</th>
<th align="left">FC</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x2b;</td>
<td align="left">2,6-Dimethylpyrazine/2,5-Dimethylpyrazine</td>
<td align="left">HMDB0035248/HMDB0035289</td>
<td align="left">108.06878</td>
<td align="left">0.494</td>
<td align="left">&#x2212;1.40</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">2-Amino-4-methylpyrimidine</td>
<td align="left">mzc3275</td>
<td align="left">109.06411</td>
<td align="left">0.488</td>
<td align="left">&#x2212;1.66</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">2-Hydroxycinnamic acid/4-Hydroxycinnamic acid</td>
<td align="left">HMDB0002641/HMDB0002035</td>
<td align="left">164.04717</td>
<td align="left">1.255</td>
<td align="left">&#x2212;2.27</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">3-Methylhistidine</td>
<td align="left">HMDB0000479</td>
<td align="left">169.08486</td>
<td align="left">0.494</td>
<td align="left">&#x2212;1.40</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">4-Hydroxybenzaldehyde</td>
<td align="left">HMDB0011718</td>
<td align="left">122.03683</td>
<td align="left">1.255</td>
<td align="left">&#x2212;2.19</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Arginine</td>
<td align="left">HMDB0003416/HMDB0000517</td>
<td align="left">174.11149</td>
<td align="left">0.486</td>
<td align="left">&#x2212;2.86</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Aspartic acid</td>
<td align="left">HMDB0000191/HMDB0006483</td>
<td align="left">133.0374</td>
<td align="left">0.503</td>
<td align="left">&#x2212;3.48 (&#x2212;5.12)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Aspartylphenylalanine</td>
<td align="left">HMDB0000706</td>
<td align="left">280.1055</td>
<td align="left">3.793</td>
<td align="left">&#x2212;20.77</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Bis(4-ethylbenzylidene)sorbitol</td>
<td align="left">mzc7437</td>
<td align="left">414.20355</td>
<td align="left">10.691</td>
<td align="left">&#x2212;1.39</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Carnosine</td>
<td align="left">HMDB0000033</td>
<td align="left">226.1062</td>
<td align="left">0.485</td>
<td align="left">&#x2212;1.30</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Citicoline</td>
<td align="left">HMDB0001413</td>
<td align="left">488.10662</td>
<td align="left">0.627</td>
<td align="left">&#x2212;1.97</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Creatine</td>
<td align="left">HMDB0000064</td>
<td align="left">131.06931</td>
<td align="left">0.565</td>
<td align="left">&#x2212;1.11</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Creatinine</td>
<td align="left">HMDB0000562</td>
<td align="left">113.05898</td>
<td align="left">0.537</td>
<td align="left">&#x2212;1.41</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Decanoyl carnitine</td>
<td align="left">HMDB0000651</td>
<td align="left">315.2402</td>
<td align="left">8.324</td>
<td align="left">&#x2b;25.93</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Glutamic acid/Glutamic acid</td>
<td align="left">HMDB0000148/HMDB0003339</td>
<td align="left">147.05284</td>
<td align="left">0.517</td>
<td align="left">&#x2212;2.08</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Histidine</td>
<td align="left">HMDB0000177</td>
<td align="left">155.06926</td>
<td align="left">0.487</td>
<td align="left">&#x2212;1.74 (&#x2212;1.98)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Hypoxanthine</td>
<td align="left">HMDB0000157</td>
<td align="left">136.03832</td>
<td align="left">1.061</td>
<td align="left">&#x2212;1.92 (&#x2212;2.27)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Indoleacrylic acid</td>
<td align="left">HMDB0000734</td>
<td align="left">187.06315</td>
<td align="left">3.727</td>
<td align="left">&#x2212;2.27</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Inosine</td>
<td align="left">HMDB0000195</td>
<td align="left">268.08026</td>
<td align="left">2.32</td>
<td align="left">&#x2212;1.42</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Ketamine</td>
<td align="left">HMDB0015352</td>
<td align="left">237.09164</td>
<td align="left">4.973</td>
<td align="left">&#x2212;13.98</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Leucine/Isoleucine/Norleucine</td>
<td align="left">HMDB0013773/HMDB0000687/HMDB0000172/HMDB0001645</td>
<td align="left">131.09451</td>
<td align="left">1.393</td>
<td align="left">&#x2212;3.08</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Leucyl-Glycine</td>
<td align="left">HMDB0028929</td>
<td align="left">188.11587</td>
<td align="left">3.148</td>
<td align="left">&#x2212;5.71</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">L-Palmitoylcarnitine</td>
<td align="left">HMDB0000222</td>
<td align="left">399.33412</td>
<td align="left">11.574</td>
<td align="left">&#x2b;13.87</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Lysine</td>
<td align="left">HMDB0003405/HMDB0000182</td>
<td align="left">146.10531</td>
<td align="left">0.425</td>
<td align="left">&#x2212;1.99</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Methacholine</td>
<td align="left">HMDB0015654</td>
<td align="left">159.12569</td>
<td align="left">0.874</td>
<td align="left">&#x2212;2.32</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Methionine</td>
<td align="left">HMDB0000696</td>
<td align="left">149.05078</td>
<td align="left">0.833</td>
<td align="left">&#x2212;3.34</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">N6-Me-Adenosine</td>
<td align="left">mzc10245</td>
<td align="left">281.11165</td>
<td align="left">1.018</td>
<td align="left">&#x2212;2.16</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Phenylalanine</td>
<td align="left">HMDB0000159/METPA0264</td>
<td align="left">165.07877</td>
<td align="left">2.956</td>
<td align="left">&#x2212;2.54 (-2.99)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Prolylglycine</td>
<td align="left">HMDB0011178</td>
<td align="left">172.08458</td>
<td align="left">0.631</td>
<td align="left">&#x2212;3.07</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Prolylleucine</td>
<td align="left">mzc559</td>
<td align="left">228.14719</td>
<td align="left">1.275</td>
<td align="left">&#x2b;2.80</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Pyroglutamic acid</td>
<td align="left">HMDB0000267</td>
<td align="left">129.04241</td>
<td align="left">1.087</td>
<td align="left">&#x2b;1.31</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Spermine</td>
<td align="left">HMDB0001256</td>
<td align="left">202.21555</td>
<td align="left">0.369</td>
<td align="left">&#x2212;2.11</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Tryptophan</td>
<td align="left">HMDB0013609/HMDB0000929</td>
<td align="left">204.08963</td>
<td align="left">3.732</td>
<td align="left">&#x2212;2.27 (&#x2212;2.40)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Tyrosine</td>
<td align="left">HMDB0000158/HMDB0006050</td>
<td align="left">181.07365</td>
<td align="left">1.17</td>
<td align="left">&#x2212;2.28 (&#x2212;2.43)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Valine</td>
<td align="left">HMDB0000883</td>
<td align="left">117.07904</td>
<td align="left">0.732</td>
<td align="left">&#x2212;2.18</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Valyl-Proline</td>
<td align="left">HMDB0029135</td>
<td align="left">214.13124</td>
<td align="left">3.09</td>
<td align="left">&#x2212;5.20</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Xylazine</td>
<td align="left">HMDB0259938</td>
<td align="left">220.10305</td>
<td align="left">5.268</td>
<td align="left">&#x2b;3.20</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">1-Methylhistidine/3-Methylhistidine/&#x3b1;-Methyl-DL-histidine</td>
<td align="left">HMDB0000001/HMDB0000479/mzc792</td>
<td align="left">169.08425</td>
<td align="left">0.486</td>
<td align="left">&#x2212;1.40</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">3-Phosphoglyceric acid</td>
<td align="left">HMDB0000807</td>
<td align="left">185.99215</td>
<td align="left">0.524</td>
<td align="left">&#x2212;3.69</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Anserine</td>
<td align="left">HMDB0000194</td>
<td align="left">240.12177</td>
<td align="left">0.487</td>
<td align="left">&#x2212;1.31</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Arginine</td>
<td align="left">HMDB0003416/HMDB0000517</td>
<td align="left">174.11074</td>
<td align="left">0.471</td>
<td align="left">&#x2212;2.78</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Citric acid</td>
<td align="left">HMDB0000094</td>
<td align="left">192.02623</td>
<td align="left">0.911</td>
<td align="left">&#x2b;2.83</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glutathione</td>
<td align="left">HMDB0062697</td>
<td align="left">307.08357</td>
<td align="left">0.88</td>
<td align="left">&#x2212;3.11</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glyceric acid</td>
<td align="left">HMDB0000139</td>
<td align="left">106.02556</td>
<td align="left">0.596</td>
<td align="left">&#x2212;8.24</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glycerol 3-phosphate</td>
<td align="left">HMDB0000126</td>
<td align="left">172.01282</td>
<td align="left">0.522</td>
<td align="left">&#x2b;4.85</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Malic acid</td>
<td align="left">HMDB0031518/HMDB0000156</td>
<td align="left">134.02045</td>
<td align="left">0.668</td>
<td align="left">&#x2212;1.38</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Mannose 6-phosphate/Fructose 1-phosphate/Beta-D-Fructose 6-phosphate/Glucose 1-phosphate/</td>
<td align="left">HMDB0001078/HMDB0001076/HMDB0003971/HMDB0001586/HMDB0001401</td>
<td align="left">260.02945</td>
<td align="left">0.517</td>
<td align="left">&#x2b;3.83</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">N-Acetylneuraminic acid</td>
<td align="left">HMDB0000230</td>
<td align="left">309.10575</td>
<td align="left">0.587</td>
<td align="left">&#x2212;2.35</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Pantothenic acid</td>
<td align="left">HMDB0000210</td>
<td align="left">219.11018</td>
<td align="left">3.474</td>
<td align="left">&#x2212;1.98</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Ribose 1-phosphate/Ribose 5-phosphate/Xylulose 5-phosphate/Ribulose 5-phosphate</td>
<td align="left">HMDB0001489/HMDB0001548/HMDB0000868/METPA0382/HMDB0000618/METPA0129</td>
<td align="left">230.01865</td>
<td align="left">0.53</td>
<td align="left">&#x2212;1.37</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">S-Lactoylglutathione</td>
<td align="left">HMDB0001066</td>
<td align="left">379.10454</td>
<td align="left">1.988</td>
<td align="left">&#x2212;3.39</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Taurine</td>
<td align="left">HMDB0000251</td>
<td align="left">125.01358</td>
<td align="left">0.504</td>
<td align="left">&#x2212;1.13</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Uridine</td>
<td align="left">HMDB0000296</td>
<td align="left">244.06927</td>
<td align="left">1.374</td>
<td align="left">&#x2212;1.69</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Xanthine</td>
<td align="left">HMDB0000292</td>
<td align="left">152.03248</td>
<td align="left">1.262</td>
<td align="left">&#x2212;2.88</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Xanthosine</td>
<td align="left">HMDB0000299</td>
<td align="left">284.07556</td>
<td align="left">3.058</td>
<td align="left">&#x2212;2.82</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>YC, as denominator.</p>
</fn>
<fn>
<p>FC: positive mode (negative mode).</p>
</fn>
<fn>
<p>Potential metabolite identified by cross referencing with mzCloud data (&#x5e;).</p>
</fn>
<fn>
<p>Symbol: (&#x2b;) increase; (-) decrease.</p>
</fn>
<fn>
<p>Acronym: FC (fold change); m/w (molecular weight); RT (retention time).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>List of metabolites in AC vs. OC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Mode</th>
<th align="left">Metabolite</th>
<th align="left">ID</th>
<th align="left">MW</th>
<th align="left">RT</th>
<th align="left">FC</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x2b;</td>
<td align="left">2,4-Dihydroxybenzophenone</td>
<td align="left">mzc604</td>
<td align="left">0.547</td>
<td align="left">75</td>
<td align="left">&#x2212;1.44</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">2,6-Dimethylpyrazine/2,5-Dimethylpyrazine</td>
<td align="left">HMDB0035248/HMDB0035289</td>
<td align="left">0.494</td>
<td align="left">73.8</td>
<td align="left">&#x2212;1.46</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">2-Amino-4-methylpyrimidine</td>
<td align="left">mzc3275</td>
<td align="left">0.488</td>
<td align="left">80.6</td>
<td align="left">&#x2212;1.63</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">2-Hydroxycinnamic acid/4-Hydroxycinnamic acid</td>
<td align="left">HMDB0002641/HMDB0002035</td>
<td align="left">1.255</td>
<td align="left">87.9</td>
<td align="left">&#x2212;2.39</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">3-Methylhistidine</td>
<td align="left">HMDB0000479</td>
<td align="left">0.494</td>
<td align="left">95.9</td>
<td align="left">&#x2212;1.46 (&#x2212;1.63)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">4-Hydroxybenzaldehyde</td>
<td align="left">HMDB0011718</td>
<td align="left">1.255</td>
<td align="left">70.3</td>
<td align="left">&#x2212;2.30</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Acetylcholine</td>
<td align="left">HMDB0000895</td>
<td align="left">0.655</td>
<td align="left">89.5</td>
<td align="left">&#x2212;1.27</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Arginine</td>
<td align="left">HMDB0003416/HMDB0000517</td>
<td align="left">0.486</td>
<td align="left">94</td>
<td align="left">&#x2212;2.72 (&#x2212;2.60)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Aspartic acid</td>
<td align="left">HMDB0000191/HMDB0006483</td>
<td align="left">0.503</td>
<td align="left">87.7</td>
<td align="left">&#x2212;3.96 (&#x2212;3.52)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Carnosine</td>
<td align="left">HMDB0000033</td>
<td align="left">0.485</td>
<td align="left">92.9</td>
<td align="left">&#x2212;1.24</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Citicoline</td>
<td align="left">HMDB0001413</td>
<td align="left">0.627</td>
<td align="left">85.2</td>
<td align="left">&#x2212;1.48</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Creatine</td>
<td align="left">HMDB0000064</td>
<td align="left">0.565</td>
<td align="left">96.1</td>
<td align="left">&#x2212;1.17</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Creatinine</td>
<td align="left">HMDB0000562</td>
<td align="left">0.537</td>
<td align="left">93.1</td>
<td align="left">&#x2212;1.28</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Cytidine</td>
<td align="left">HMDB0000089</td>
<td align="left">0.725</td>
<td align="left">88.8</td>
<td align="left">&#x2212;2.05</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Cytosine</td>
<td align="left">HMDB0000630</td>
<td align="left">0.722</td>
<td align="left">93</td>
<td align="left">&#x2212;2.44</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Decanoylcarnitine</td>
<td align="left">HMDB0000651</td>
<td align="left">8.324</td>
<td align="left">83</td>
<td align="left">&#x2b;5.53</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Glutamic acid/Glutamic acid</td>
<td align="left">HMDB0000148/HMDB0003339</td>
<td align="left">0.517</td>
<td align="left">94.8</td>
<td align="left">&#x2212;1.90</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Histidine</td>
<td align="left">HMDB0000177</td>
<td align="left">0.487</td>
<td align="left">94.9</td>
<td align="left">&#x2212;1.62 (&#x2212;1.92)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Hypoxanthine</td>
<td align="left">HMDB0000157</td>
<td align="left">1.061</td>
<td align="left">95.5</td>
<td align="left">&#x2212;2.44 (&#x2212;2.96)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Indoleacrylic acid</td>
<td align="left">HMDB0000734</td>
<td align="left">3.727</td>
<td align="left">92.6</td>
<td align="left">&#x2212;2.51</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Inosine</td>
<td align="left">HMDB0000195</td>
<td align="left">2.32</td>
<td align="left">72</td>
<td align="left">&#x2212;1.69</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Leucine/Isoleucine/Norleucine</td>
<td align="left">HMDB0013773/HMDB0000687/HMDB0000172/HMDB0001645</td>
<td align="left">1.393</td>
<td align="left">94.6</td>
<td align="left">&#x2212;3.41</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Leucyl-Glycine</td>
<td align="left">HMDB0028929</td>
<td align="left">3.148</td>
<td align="left">91.7</td>
<td align="left">&#x2212;4.65</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Lysine</td>
<td align="left">HMDB0003405/HMDB0000182</td>
<td align="left">0.425</td>
<td align="left">94.2</td>
<td align="left">&#x2212;2.58</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Methionine</td>
<td align="left">HMDB0000696</td>
<td align="left">0.833</td>
<td align="left">89</td>
<td align="left">&#x2212;2.82</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">N6-Me-Adenosine</td>
<td align="left">mzc10245</td>
<td align="left">1.018</td>
<td align="left">71.7</td>
<td align="left">&#x2212;1.88</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">N-Acetylornithine</td>
<td align="left">HMDB0003357</td>
<td align="left">0.635</td>
<td align="left">76</td>
<td align="left">&#x2212;1.30</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Nicotinamide adenine dinucleotide</td>
<td align="left">HMDB0000902</td>
<td align="left">1.151</td>
<td align="left">91.2</td>
<td align="left">&#x2b;12.81</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Phenylalanine</td>
<td align="left">HMDB0000159/METPA0264</td>
<td align="left">2.956</td>
<td align="left">95.3</td>
<td align="left">&#x2212;3.00 (&#x2212;3.02)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Prolylleucine</td>
<td align="left">mzc559</td>
<td align="left">1.275</td>
<td align="left">85.5</td>
<td align="left">&#x2b;3.17</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Pyroglutamic acid</td>
<td align="left">HMDB0000267</td>
<td align="left">1.087</td>
<td align="left">82.2</td>
<td align="left">&#x2b;1.48</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Tryptophan</td>
<td align="left">HMDB0013609/HMDB0000929</td>
<td align="left">3.732</td>
<td align="left">95.5</td>
<td align="left">&#x2212;2.51 (&#x2212;2.62)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Tyrosine</td>
<td align="left">HMDB0000158/HMDB0006050</td>
<td align="left">1.17</td>
<td align="left">87.3</td>
<td align="left">&#x2212;2.33 (&#x2212;2.29)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Uric acid</td>
<td align="left">HMDB0000289</td>
<td align="left">0.955</td>
<td align="left">87</td>
<td align="left">&#x2212;3.26 (&#x2212;3.53)</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Valine</td>
<td align="left">HMDB0000883</td>
<td align="left">0.732</td>
<td align="left">90</td>
<td align="left">&#x2212;1.87</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Valyl-Proline</td>
<td align="left">HMDB0029135</td>
<td align="left">3.09</td>
<td align="left">96.1</td>
<td align="left">&#x2212;4.18</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Xylazine</td>
<td align="left">HMDB0259938</td>
<td align="left">5.268</td>
<td align="left">93.6</td>
<td align="left">&#x2b;9.76</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">3-Phosphoglyceric acid</td>
<td align="left">HMDB0000807</td>
<td align="left">185.99215</td>
<td align="left">0.524</td>
<td align="left">&#x2b;11.06</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Anserine</td>
<td align="left">HMDB0000194</td>
<td align="left">240.12177</td>
<td align="left">0.487</td>
<td align="left">&#x2212;1.30</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glutamine</td>
<td align="left">HMDB0003423/HMDB0000641</td>
<td align="left">146.06811</td>
<td align="left">0.499</td>
<td align="left">&#x2b;1.70</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glutathione</td>
<td align="left">HMDB0062697</td>
<td align="left">307.08357</td>
<td align="left">0.88</td>
<td align="left">&#x2212;4.21</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glyceric acid</td>
<td align="left">HMDB0000139</td>
<td align="left">106.02556</td>
<td align="left">0.596</td>
<td align="left">&#x2212;3.42</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glycerol 3-phosphate</td>
<td align="left">HMDB0000126</td>
<td align="left">172.01282</td>
<td align="left">0.522</td>
<td align="left">&#x2b;35.38</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Malic acid</td>
<td align="left">HMDB0031518/HMDB0000156</td>
<td align="left">134.02045</td>
<td align="left">0.668</td>
<td align="left">&#x2212;1.47</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Mannose 6-phosphate/Fructose 1-phosphate/Beta-D-Fructose 6-phosphate/Glucose 1-phosphate/</td>
<td align="left">HMDB0001078/HMDB0001076/HMDB0003971/HMDB0001586/HMDB0001401</td>
<td align="left">260.02945</td>
<td align="left">0.517</td>
<td align="left">&#x2b;11.41</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">N-Acetylneuraminic acid</td>
<td align="left">HMDB0000230</td>
<td align="left">309.10575</td>
<td align="left">0.587</td>
<td align="left">&#x2212;2.13</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Pantothenic acid</td>
<td align="left">HMDB0000210</td>
<td align="left">219.11018</td>
<td align="left">3.474</td>
<td align="left">&#x2212;1.90</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Ribose 1-phosphate/Ribose 5-phosphate/Xylulose 5-phosphate/Ribulose 5-phosphate</td>
<td align="left">HMDB0001489/HMDB0001548/HMDB0000868/METPA0382/HMDB0000618/METPA0129</td>
<td align="left">230.01865</td>
<td align="left">0.53</td>
<td align="left">&#x2212;1.65</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">S-Lactoylglutathione</td>
<td align="left">HMDB0001066</td>
<td align="left">379.10454</td>
<td align="left">1.988</td>
<td align="left">&#x2212;2.06</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Taurine</td>
<td align="left">HMDB0000251</td>
<td align="left">125.01358</td>
<td align="left">0.504</td>
<td align="left">&#x2212;1.19</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Uridine</td>
<td align="left">HMDB0000296</td>
<td align="left">244.06927</td>
<td align="left">1.374</td>
<td align="left">&#x2212;1.66</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Xanthine</td>
<td align="left">HMDB0000292</td>
<td align="left">152.03248</td>
<td align="left">1.262</td>
<td align="left">&#x2212;4.02</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Xanthosine</td>
<td align="left">HMDB0000299</td>
<td align="left">284.07556</td>
<td align="left">3.058</td>
<td align="left">&#x2212;3.18</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AC, as denominator.</p>
</fn>
<fn>
<p>FC: positive mode (negative mode).</p>
</fn>
<fn>
<p>Potential metabolite identified by cross referencing with mzCloud data (&#x5e;).</p>
</fn>
<fn>
<p>Symbol: (&#x2b;) increase; (-) decrease.</p>
</fn>
<fn>
<p>Acronym: FC (fold change); m/w (molecular weight); RT (retention time).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Profiled metabolites identified in the control groups were compared based on fold-change. Based on these comparisons, carnitine was the major metabolite group involved in all three control groups. Decanoyl carnitine was found to be up-regulated by 4.69-fold in AC against YC (<xref ref-type="table" rid="T1">Table 1</xref>), 25.93-fold in OC against YC (<xref ref-type="table" rid="T2">Table 2</xref>) and 5.53-fold in OC against AC (<xref ref-type="table" rid="T3">Table 3</xref>). Besides that, L-palmitoyl carnitine was up-regulated by 10.74-fold in AC against YC (<xref ref-type="table" rid="T1">Table 1</xref>) and 13.87-fold in OC against YC (<xref ref-type="table" rid="T2">Table 2</xref>). Glycerol 3-phosphate was another major metabolite that was found to be up-regulated in all three control groups, with an increase of 7.30-fold in AC against YC (<xref ref-type="table" rid="T1">Table 1</xref>) and 4.85-fold in OC against YC (<xref ref-type="table" rid="T2">Table 2</xref>) and 35.38-fold in OC against AC (<xref ref-type="table" rid="T3">Table 3</xref>). Mannose 6-phosphate/Fructose 1-phosphate/beta-D-Fructose-6-phosphate/Glucose 1-phosphate was found to be up-regulated in both OC against YC <bold>(</bold>
<xref ref-type="table" rid="T2">Table 2</xref>) (3.83-fold) and OC against AC (<xref ref-type="table" rid="T3">Table 3</xref>) (11.41-fold).</p>
<p>In contrast, phosphoenolpyruvate (PEP) metabolite showed an 18.07-fold decrease in AC against YC (<xref ref-type="table" rid="T1">Table 1</xref>). Another major metabolite group that was found to be involved in all three groups is glycerate, which includes glyceric acid and 3-phosphoglyceric acid. Glyceric acid was found to be down-regulated by 2.41-fold in AC against YC (<xref ref-type="table" rid="T1">Table 1</xref>), 8.24-fold in OC against YC (<xref ref-type="table" rid="T2">Table 2</xref>) and 3.42-fold in OC against AC (<xref ref-type="table" rid="T3">Table 3</xref>). 3-Phosphoglyceric acid was down-regulated by 40.86-fold in AC against YC (<xref ref-type="table" rid="T1">Table 1</xref>) and 3.69-fold in OC against YC (<xref ref-type="table" rid="T2">Table 2</xref>). However, it was up-regulated by 11.06-fold in OC against AC (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<p>Treatment groups were compared based on fold change against untreated control groups of young, adult and old rats. A total of 81 metabolic features were identified. Comparisons between YC and YT groups identified seven significant metabolites (<xref ref-type="table" rid="T4">Table 4</xref>). Decanoyl carnitine and L-palmitoyl carnitine showed an up-regulation of 2.81-fold and 7.41-fold, respectively in TRF-treated rats. Aspartyl phenylalanine and nicotinamide adenine dinucleotide (NAD<sup>&#x2b;</sup>) were down-regulated by 3.37-fold and 2.27-fold, respectively. A comparison between AC and AT groups identified 16 significant metabolites (<xref ref-type="table" rid="T5">Table 5</xref>). NAD &#x2b; showed the highest up-regulation (7.79-fold) while citric acid showed the most down-regulation (17.30-fold). Spermine was up-regulated by 3.56-fold and aspartic acid by 1.26-fold. A comparison between OC and OT groups identified 11 significant metabolites (<xref ref-type="table" rid="T6">Table 6</xref>). Nine of the 11 metabolites showed up-regulation, with aspartic acid being the most up-regulated by 8.98-fold, followed by N6-Me-Adenosine (4.54-fold), phenylalanine (2.13-fold), tryptophan (2.07-fold) and histidine (1.84-fold). Only carnitine and L-acetyl carnitine showed down-regulation by 1.15-fold and 1.19-fold, respectively.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>List of metabolites in YT against YC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Mode</th>
<th align="left">Metabolite</th>
<th align="left">ID</th>
<th align="left">MW</th>
<th align="left">RT</th>
<th align="left">FC</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x2b;</td>
<td align="left">Aspartylphenylalanine</td>
<td align="left">HMDB0000706</td>
<td align="left">280.1055</td>
<td align="left">3.793</td>
<td align="left">&#x2212;3.37</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Decanoylcarnitine</td>
<td align="left">HMDB0000651</td>
<td align="left">315.2402</td>
<td align="left">8.324</td>
<td align="left">&#x2b;2.81</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">L-Palmitoylcarnitine</td>
<td align="left">HMDB0000222</td>
<td align="left">399.33412</td>
<td align="left">11.574</td>
<td align="left">&#x2b;7.41</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Methacholine</td>
<td align="left">HMDB0015654</td>
<td align="left">159.12569</td>
<td align="left">0.874</td>
<td align="left">&#x2212;1.95</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Nicotinamide adenine dinucleotide</td>
<td align="left">HMDB0000902</td>
<td align="left">663.10799</td>
<td align="left">1.151</td>
<td align="left">&#x2212;2.27</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Prolylleucine</td>
<td align="left">mzc559</td>
<td align="left">228.14719</td>
<td align="left">1.275</td>
<td align="left">&#x2212;1.52</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Xanthosine</td>
<td align="left">HMDB0000299</td>
<td align="left">284.07556</td>
<td align="left">3.058</td>
<td align="left">&#x2212;1.87</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>YC, as denominator.</p>
</fn>
<fn>
<p>FC: positive mode (negative mode).</p>
</fn>
<fn>
<p>Potential metabolite identified by cross referencing with mzCloud data (&#x5e;).</p>
</fn>
<fn>
<p>Symbol: (&#x2b;) increase; (-) decrease.</p>
</fn>
<fn>
<p>Acronym: FC (fold change); m/w (molecular weight); RT (retention time).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>List of metabolites in AT against AC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Mode</th>
<th align="left">Metabolite</th>
<th align="left">ID</th>
<th align="left">MW</th>
<th align="left">RT</th>
<th align="left">FC</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x2b;</td>
<td align="left">Acetylcholine</td>
<td align="left">HMDB0000895</td>
<td align="left">145.11005</td>
<td align="left">0.655</td>
<td align="left">&#x2212;1.21</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Adenine</td>
<td align="left">HMDB0000034</td>
<td align="left">135.05422</td>
<td align="left">0.842</td>
<td align="left">&#x2b;2.05</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Adenosine monophosphate/3&#x2032;-Adenosine monophosphate</td>
<td align="left">HMDB0000045/HMDB0003540</td>
<td align="left">347.06241</td>
<td align="left">0.857</td>
<td align="left">&#x2b;1.54</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Aspartic acid</td>
<td align="left">HMDB0000191/HMDB0006483</td>
<td align="left">133.0374</td>
<td align="left">0.503</td>
<td align="left">&#x2b;1.26</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Ketamine</td>
<td align="left">HMDB0015352</td>
<td align="left">237.09164</td>
<td align="left">4.973</td>
<td align="left">&#x2b;4.68</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">N6-Me-Adenosine</td>
<td align="left">mzc10245</td>
<td align="left">281.11165</td>
<td align="left">1.018</td>
<td align="left">&#x2b;1.61</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">N-Acetylaspartylglutamic acid</td>
<td align="left">HMDB0001067</td>
<td align="left">304.08996</td>
<td align="left">1.421</td>
<td align="left">&#x2b;1.33</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Nicotinamide adenine dinucleotide</td>
<td align="left">HMDB0000902</td>
<td align="left">663.10799</td>
<td align="left">1.151</td>
<td align="left">&#x2b;7.79</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Prolylglycine</td>
<td align="left">HMDB0011178</td>
<td align="left">172.08458</td>
<td align="left">0.631</td>
<td align="left">&#x2b;1.95</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Prolylleucine</td>
<td align="left">mzc559</td>
<td align="left">228.14719</td>
<td align="left">1.275</td>
<td align="left">&#x2b;1.54</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Pyroglutamic acid</td>
<td align="left">HMDB0000267</td>
<td align="left">129.04241</td>
<td align="left">1.087</td>
<td align="left">&#x2b;1.40</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Spermine</td>
<td align="left">HMDB0001256</td>
<td align="left">202.21555</td>
<td align="left">0.369</td>
<td align="left">&#x2b;3.56</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Uric acid</td>
<td align="left">HMDB0000289</td>
<td align="left">168.02815</td>
<td align="left">0.955</td>
<td align="left">&#x2212;1.54</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Citric acid</td>
<td align="left">HMDB0000094</td>
<td align="left">192.02623</td>
<td align="left">0.911</td>
<td align="left">&#x2212;17.30</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Glycerol 3-phosphate</td>
<td align="left">HMDB0000126</td>
<td align="left">172.01282</td>
<td align="left">0.522</td>
<td align="left">&#x2b;3.74</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Mannose 6-phosphate/Fructose 1-phosphate/Beta-D-Fructose 6-phosphate/Glucose 1-phosphate/</td>
<td align="left">HMDB0001078/HMDB0001076/HMDB0003971/HMDB0001586/HMDB0001401</td>
<td align="left">260.02945</td>
<td align="left">0.517</td>
<td align="left">&#x2212;2.84</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AC, as denominator.</p>
</fn>
<fn>
<p>FC: positive mode (negative mode).</p>
</fn>
<fn>
<p>Potential metabolite identified by cross referencing with mzCloud data (&#x5e;).</p>
</fn>
<fn>
<p>Symbol: (&#x2b;) increase; (-) decrease.</p>
</fn>
<fn>
<p>Acronym: FC (fold change); m/w (molecular weight); RT (retention time).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>List of metabolites in OT against OC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Mode</th>
<th align="left">Metabolite</th>
<th align="left">ID</th>
<th align="left">MW</th>
<th align="left">RT</th>
<th align="left">FC</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x2b;</td>
<td align="left">Carnitine</td>
<td align="left">HMDB0000062</td>
<td align="left">161.10487</td>
<td align="left">0.547</td>
<td align="left">&#x2212;1.15</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Cytidine</td>
<td align="left">HMDB0000089</td>
<td align="left">243.08509</td>
<td align="left">0.725</td>
<td align="left">&#x2b;2.80</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Indoleacrylic acid</td>
<td align="left">HMDB0000734</td>
<td align="left">187.06315</td>
<td align="left">3.727</td>
<td align="left">&#x2b;2.07</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">L-Acetylcarnitine</td>
<td align="left">HMDB0000201</td>
<td align="left">203.11546</td>
<td align="left">0.909</td>
<td align="left">&#x2212;1.19</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">N6-Me-Adenosine</td>
<td align="left">mzc10245</td>
<td align="left">281.11165</td>
<td align="left">1.018</td>
<td align="left">&#x2b;4.54</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Phenylalanine</td>
<td align="left">HMDB0000159/METPA0264</td>
<td align="left">165.07877</td>
<td align="left">2.956</td>
<td align="left">&#x2b;2.13</td>
</tr>
<tr>
<td align="left">&#x2b;</td>
<td align="left">Tryptophan</td>
<td align="left">HMDB0013609/HMDB0000929</td>
<td align="left">204.08963</td>
<td align="left">3.732</td>
<td align="left">&#x2b;2.07</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Aspartic acid</td>
<td align="left">HMDB0000191/HMDB0006483</td>
<td align="left">133.03642</td>
<td align="left">0.498</td>
<td align="left">&#x2b;8.98</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Histidine</td>
<td align="left">HMDB0000177</td>
<td align="left">155.06853</td>
<td align="left">0.479</td>
<td align="left">&#x2b;1.84</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">N-Acetylneuraminic acid</td>
<td align="left">HMDB0000230</td>
<td align="left">309.10575</td>
<td align="left">0.587</td>
<td align="left">&#x2b;1.36</td>
</tr>
<tr>
<td align="left">&#x2212;</td>
<td align="left">Xanthine</td>
<td align="left">HMDB0000292</td>
<td align="left">152.03248</td>
<td align="left">1.262</td>
<td align="left">&#x2b;2.43</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OC, as denominator.</p>
</fn>
<fn>
<p>FC: positive mode (negative mode).</p>
</fn>
<fn>
<p>Potential metabolite identified by cross referencing with mzCloud data (&#x5e;).</p>
</fn>
<fn>
<p>Symbol: (&#x2b;) increase; (-) decrease.</p>
</fn>
<fn>
<p>Acronym: FC (fold change); m/w (molecular weight); RT (retention time).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>3.5 Biochemical pathways analysis of muscle metabolomes in control and treated groups of rats</title>
<p>Pathway analysis was performed using MetaboAnalyst on the muscle metabolomes expression during ageing. A comparison of profiled metabolites between AC and YC generated 21 biochemical pathways (<xref ref-type="fig" rid="F2">Figure 2</xref>). The significant pathways involved were primarily fructose and mannose metabolism, glycolysis/gluconeogenesis, amino sugar and nucleotide sugar metabolism, glycerolipid metabolism, TCA cycle, pentose phosphate pathway and glyoxylate and dicarboxylate metabolism <bold>(</bold>
<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>
<bold>)</bold>. Pathways were identified as significant with a <italic>p</italic>-value &#x3c;0.05 and an impactor of &#x3e;1.0. Metabolites profiled in OC compared to YC generated 39 biochemical pathways (<xref ref-type="fig" rid="F3">Figure 3</xref>). The significant pathways involved were primarily histidine metabolism; pentose phosphate pathway; beta-alanine metabolism; phenylalanine, tyrosine and tryptophan biosynthesis; arginine biosynthesis; glutathione metabolism; purine metabolism; pentose and glucuronate interconversions; fructose and mannose metabolism; and arginine and proline metabolism (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>). Comparison of profiled metabolites in OC and AC generated 39 biochemical pathways (<xref ref-type="fig" rid="F4">Figure 4</xref>). The significant pathways involved were primarily histidine metabolism, pentose phosphate pathway; arginine biosynthesis; phenylalanine, tyrosine and tryptophan biosynthesis; D-glutamine and D-glutamate metabolism and fructose and mannose metabolism (<xref ref-type="sec" rid="s12">Supplementary Table S3</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Biochemical pathway analysis of metabolites profiled for YC vs. AC.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Biochemical pathway analysis of metabolites profiled for YC vs. OC.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Biochemical pathway analysis of metabolites profiled for AC vs. OC. a: Fructose and mannose metabolism.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g004.tif"/>
</fig>
<p>The effect of TRF treatment on the metabolic pathway was determined by comparing the muscle metabolomes expression in the TRF-treated group with the untreated control group. A comparison of the profiled metabolites in the TRF-treated group against the control group of the young rats generated three metabolites (<xref ref-type="fig" rid="F5">Figure 5</xref>) whereby nicotinate and nicotinamide metabolism was the significant biochemical pathway <bold>(</bold>
<xref ref-type="sec" rid="s12">Supplementary Table S4</xref>). In the adult group, a comparison between the profiled metabolites of AT against AC, generated a total of 21 biochemical pathways (<xref ref-type="fig" rid="F6">Figure 6</xref>), with the significant pathways involved primarily being fructose and mannose metabolism; alanine, aspartate and glutamate metabolism; amino sugar and nucleotide sugar metabolism; and nicotinate and nicotinamide metabolism (<xref ref-type="sec" rid="s12">Supplementary Table S5</xref>). In the old group, a comparison between profiled metabolites of OT against OC, generated 12 biochemical pathways (<xref ref-type="fig" rid="F7">Figure 7</xref>). The significant pathways involved were histidine metabolism and phenylalanine, tyrosine and tryptophan biosynthesis <bold>(</bold>
<xref ref-type="sec" rid="s12">Supplementary Table S6</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Biochemical pathway analysis of metabolites profiled for YC vs. YT.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g005.tif"/>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Biochemical pathway analysis of metabolites profiled for AC vs. AT.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Biochemical pathway analysis of metabolites profiled for OC vs. OT.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>Sustaining the health of one&#x2019;s muscles requires a sufficient intake of vitamin E. In a previous study using animal models, severe tocopherol deficiency has been observed to impair muscle performance even though vitamin E deficiency is rarely reported in humans (Nier et al., 2006; Rafique et al., 2004). Decrease in muscle mass and function in sarcopenia has been reported to be correlated with low vitamin E levels, as shown by the physical performance test. Invecchiare in Chianti study reported that the level of vitamin E daily intake positively correlates with knee extension strength and total the physical performance (Cesari et al., 2004) indicating the requirement of vitamin E in maintaining muscle strength and function.</p>
<p>In this study, physical performance was observed by conducting the weight-loaded performance swim test and the grid hang test. The results of our study showed that muscle strength was reduced with ageing. Treatment with TRF for 3&#xa0;months however, increased the exhaustion time in weight-loaded performance swim test of young rats eventhough no similar effects were observed in adult and old rats treated with TRF. This might occur because the young TRF-treated rats have more significant muscle regeneration potential than the adult or old TRF-treated rats. The ability of muscles to regenerate relied entirely on the renewal of satellite cells, which eventually declined with age (Dumont et al., 2015). It has been previously reported that ageing causes the number of satellite cells to decrease (<xref ref-type="bibr" rid="B56">Miljkovic et al., 2015</xref>). According to a study by <xref ref-type="bibr" rid="B43">Khor et al., 2016</xref>, senescent myoblasts have low proliferative capacities, which showed downregulation of myogenic differentiation genes but increased expression of oxidative damage-associated genes. This study may explain the reduced ability of adults and old TRF-treated rats to regenerate muscle in this study.</p>
<p>This study also demonstrated that supplementation of TRF to young, adult and old rats for 3&#xa0;months could reduce the levels of DNA damage indicating the capacity of TRF to reduce damaged DNA due to excessive ROS generation. This finding was in line with a previous study which reported that tocotrienols are rich vitamin E derivatives that aid in preventing DNA damage brought on by ageing (<xref ref-type="bibr" rid="B16">Chin et al., 2019</xref>; Georgousopoulou et al., 2017; <xref ref-type="bibr" rid="B63">Pathak et al., 2021</xref>; Taridi et al., 2014). A previous randomised clinical trial involving middle-aged and older adults supplemented with tocotrienol for 6&#xa0;months showed a significant reduction in DNA damage by 3&#xa0;months, which is a benefit that persisted through the 6&#xa0;months of the study (<xref ref-type="bibr" rid="B16">Chin et al., 2019</xref>).</p>
<p>In this study, the effect of TRF supplementation on young, adult and old Sprague Dawley rats and its molecular mechanism was elucidated using an untargeted metabolomic approach. The animal model used in this study has been reported to be appropriate for studying sarcopenia (<xref ref-type="bibr" rid="B77">Shavlakadze and Grounds, 2006</xref>) (<xref ref-type="bibr" rid="B15">Chai et al., 2011</xref>; <xref ref-type="bibr" rid="B74">Schiaffino and Mammucari, 2011</xref>; <xref ref-type="bibr" rid="B66">P&#xf6;tsch et al., 2014</xref>; <xref ref-type="bibr" rid="B44">Kob et al., 2015</xref>; <xref ref-type="bibr" rid="B81">Tarantini et al., 2019</xref>). Aged rat models are the most natural ageing model and have morbidities and mechanisms reasonably similar to those found in humans with sarcopenia (<xref ref-type="bibr" rid="B4">Baek et al., 2020</xref>). Rats grow quickly and at around 6&#xa0;weeks old, they are sexually mature, and after five or 6&#xa0;months, they are socially mature. An adult animal&#x2019;s month is roughly similar to 2.5&#xa0;years in a human (<xref ref-type="bibr" rid="B3">Andreollo et al., 2012</xref>). The decline in physical activity that occurs with ageing causes metabolic changes and worsens metabolic abnormalities (<xref ref-type="bibr" rid="B63">Pataky et al., 2021</xref>).</p>
<p>In this study, the metabolites profile of the control groups was compared to provide insight into the metabolites regulated by ageing. Distinctive characteristics of ageing skeletal muscle metabolomes were summarised in <xref ref-type="fig" rid="F8">Figure 8</xref>. Our results showed the reduction of alanine, phenylalanine, tyrosine and glycine as well as the branched-chain amino acids (BCAAs)&#x2014;isoleucine, leucine and valine in the old control group indicating an imbalance between protein synthesis and breakdown during ageing<bold>.</bold> Interestingly, none of these amino acid alterations was present in the young or adult groups, indicating that ageing affects dysregulated amino acid metabolism. A biomarker of muscle protein degradation, 3-methylhistidine, was noticeably downregulated in the muscle tissue of the elderly control group. This metabolite is not recycled but quantitatively excreted in the urine and has been proposed as an index of muscle protein turnover.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Muscle metabolomes changes in ageing rats. Metabolite concentrations in muscle specimens are depicted graphically and subjected to quantitative analysis. Box and whiskers plots with 95% confidence intervals are presented for quantified amino acids. Analysis was performed using one-way Anova with Tukey&#x2019;s post hoc analysis. *p &#x003c; 0.05.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g008.tif"/>
</fig>
<p>One of the most striking metabolite changes with age is in the level of biochemical markers of glucose metabolism. Levels of glycolytic intermediates decreased significantly in the muscle of adults and old rats. 3-Phosphoglycerate and phosphoenol pyruvate were each detected with decreased fold change in the adult and old control groups besides downregulation of nicotinamide adenine dinucleotide (NAD), a co-enzyme central to metabolism. Glycolysis is the primary pathway of glucose metabolism for energy production (<xref ref-type="bibr" rid="B86">Xiang et al., 2021</xref>). A decrease in glycolytic intermediate means that there is an impairment in energy production. It is often believed that ageing causes glucose intolerance, and skeletal muscle is the primary site of glucose uptake (<xref ref-type="bibr" rid="B45">Kohrt and Holloszy, 1995</xref>). Previous research reported that resting skeletal muscle glycogen stores were 60% lower in old than young individuals (<xref ref-type="bibr" rid="B55">Meredith et al., 1989</xref>). This suggests an age-related impairment in the glycogen synthase pathways (<xref ref-type="bibr" rid="B20">Consitt et al., 2019</xref>). Other studies have reported that skeletal muscle glycogen synthase activity is diminished in older adults compared to younger individuals (<xref ref-type="bibr" rid="B65">Pehleman et al., 2005</xref>; <xref ref-type="bibr" rid="B67">Poulsen et al., 2005</xref>; <xref ref-type="bibr" rid="B8">Biens&#xf8; et al., 2015</xref>).</p>
<p>Carnitine is an amino acid derivative that functions as a transporter of long-chain fatty acids from the cytosol to the mitochondrial matrix for fatty acid &#x3b2;-oxidation (<xref ref-type="bibr" rid="B31">Gnoni et al., 2020</xref>). Acylcarnitine is a metabolite of fatty acid transportation whereby fatty acyl CoA will be released from acylcarnitine for fatty acid oxidation. Decanoyl carnitine and L-palmitoyl carnitine are medium-chain acylcarnitine, an intermediate of fatty acid &#x3b2;-oxidation by-products (<xref ref-type="bibr" rid="B70">Ramos-Roman et al., 2012</xref>). It is also a marker for incomplete fatty acid oxidation (<xref ref-type="bibr" rid="B53">Mai et al., 2013</xref>), and acylcarnitine accumulation is a marker for mitochondrial dysfunction (<xref ref-type="bibr" rid="B1">Al-Bakheit et al., 2016</xref>). This study shows an increase in decanoyl carnitine and L-palmitoyl carnitine levels in ageing rats, which is in line with recent reports that suggest the rise of acylcarnitine levels may be caused by the impairment of lipid oxidation or a natural response to an excess lipid supply (<xref ref-type="bibr" rid="B70">Ramos-Roman et al., 2012</xref>). It is known that lipid oxidation indeed decreases in elderly individuals (<xref ref-type="bibr" rid="B13">Calles-Escand&#xf3;n and Poehlman, 1997</xref>).</p>
<p>Phosphoenolpyruvate is an intermediate for both glycolysis and gluconeogenesis. It can be converted to pyruvate by pyruvate kinase to produce energy (<xref ref-type="bibr" rid="B36">Hamasaki et al., 1978</xref>). Recent studies have reported that the ageing of C. elegans is highlighted by a progressive decline in cytosolic phosphoenolpyruvate carboxykinase, which is the enzyme responsible for converting pyruvate to phosphoenolpyruvate in gluconeogenesis (<xref ref-type="bibr" rid="B87">Yuan et al., 2016</xref>). This study shows a decrease in phosphoenolpyruvate in the adult control compared to the young control group indicating inefficient glycolysis and gluconeogenesis. Thus, changes in phosphoenolpyruvate with age are likely involved in energy metabolism that acutely affects the physiology of ageing organisms, thus impacting the ageing process (<xref ref-type="bibr" rid="B26">Feng et al., 2016</xref>).</p>
<p>In this study, TRF supplemented group was compared with the RBD palm olein supplemented group as a control to provide insight into the different metabolites being regulated by TRF supplementation in young (3&#xa0;months old), adult (9&#xa0;months old) and old (21&#xa0;months old) rats. The RBD palm olein was used in this study as it is the carrier for TRF. It is the liquid form of palm oil that is edible and is commonly used for cooking, which is easily accessible. TRF used in this study was extracted from the Malaysian palm tree <italic>Elaeis guineensis</italic>. Palm-based TRF is easily accessible and has been studied for its therapeutic properties, mainly in Malaysia. On the other hand, the Westerns are more inclined toward annatto oil or rice bran oil-based TRF. What differs between these oils is the amount of vitamin E homologs in them. Annatto and rice bran oil-based TRF encompasses a higher concentration of &#x3b4;-tocotrienol and a lower amount of tocopherol (<xref ref-type="bibr" rid="B27">Frega et al., 1998</xref>; <xref ref-type="bibr" rid="B12">Burdeos et al., 2012</xref>; <xref ref-type="bibr" rid="B2">Allen et al., 2017</xref>). Contrarily, palm oil is one of the most abundant natural sources of tocotrienols, which contains up to 800&#xa0;mg/kg weight of the &#x3b1;- and &#x3b3;-tocotrienol isotypes in crude palm oil (also known as tocotrienol-rich fraction). In palm oil, vitamin E is distributed as 30% tocopherols and 70% tocotrienols (<xref ref-type="bibr" rid="B76">Sen et al., 2010</xref>). Therefore, utilising palm-based TRF in this study may produce robust knowledge in the metabolomic analysis as both tocotrienol and tocopherol would affect multiple genes and metabolic pathways (<xref ref-type="bibr" rid="B62">Pang and Chin, 2019</xref>).</p>
<p>Rats supplemented with TRF for 3&#xa0;months showed an increase in spermine in the adult treated group. The same metabolite was downregulated in the adult control rats when compared to young control group. Spermine, which is oxidised by spermine oxidase, is an essential regulator of muscle gene expressions and fibre size. Studies have shown that a repressed level of spermine leads to muscle atrophy (<xref ref-type="bibr" rid="B14">Ceci et al., 2017</xref>). The decrease in spermine with ageing observed in this study was counter-regulated by TRF as shown by the increase of spermine with TRF treatment indicating that supplementation of TRF can reverse the repression of spermine due to ageing. Another metabolite that was found to be upregulated with TRF treatment in adult rats was nicotinamide adenine dinucleotide (NAD). Previous research has reported a decline in NAD<sup>&#x2b;</sup> concentrations with ageing in a tissue-specific manner (<xref ref-type="bibr" rid="B10">Braidy et al., 2011</xref>; <xref ref-type="bibr" rid="B54">Massudi et al., 2012</xref>). NAD<sup>&#x2b;</sup> is a coenzyme that facilitates redox reactions in all living cells mainly for energy production (<xref ref-type="bibr" rid="B60">Obrador et al., 2021</xref>). The upregulation of NAD<sup>&#x2b;</sup> in this study after 3&#xa0;months of TRF supplementation in the adult treated group coincides with the TRF antioxidant properties that may have reversed the ageing-decline of NAD<sup>&#x2b;</sup> and promoted energy production.</p>
<p>Another metabolite highly downregulated with TRF treatment in the adult group was citric acid, which shows a 17.30-fold downregulation in the treated group compared to the control group. Citric acid is an intermediate of the tricarboxylic acid (TCA) cycle (<xref ref-type="bibr" rid="B5">Baldwin and Krebs 1981</xref>), which is involved in a metabolic pathway converting carbohydrates, proteins and fats into carbon dioxide and water to produce energy. Evidence demonstrates that energy production progressively decreases with age, mainly due to the decline in mitochondrial function (<xref ref-type="bibr" rid="B11">Bratic and Trifunovic 2010</xref>). A decrease in the level of citric acid shows usage of the metabolite in the TCA cycle, which in this study is shown in the TRF-treated group. Thus, showing that TRF supplementation reverses the age-associated decrease in energy production.</p>
<p>In this study, glycerol 3-phosphate was highly upregulated with ageing. Glycerol 3-phosphate is produced from the phosphorylation of glycerol by a glycerol kinase. The source of glycerol can be from the breakdown of triacylglycerol or triglycerides <italic>via</italic> lipolysis. Glycerol 3-phosphate is converted to dihydroxyacetone phosphate (DHAP), an intermediate of glycolysis and gluconeogenesis by glycerol 3-phosphate dehydrogenase (mGDPH) utilising NAD<sup>&#x2b;</sup> <italic>via</italic> a reversible reaction. Studies have shown that loss of mGDPH attenuates muscle regeneration, while overexpression of it ameliorated dystrophic pathology in mice (<xref ref-type="bibr" rid="B49">Liu et al., 2018</xref>). Muscle regeneration decreases with age as ageing causes satellite cells to malfunction, influencing their regenerative and self-renewal capacities (<xref ref-type="bibr" rid="B80">Sousa-Victor et al., 2014</xref>). Other studies have also shown how age reduces glycerol 3-phosphate (<xref ref-type="bibr" rid="B57">Nemutlu et al., 2015</xref>). The findings of this study showed that there was an accumulation of glycerol 3-phosphate in old rats which was alleviated by TRF treatment. This agrees with a previous study, which reported that TRF increases the proliferation capacity of senescent myoblasts, thus increasing muscle regeneration (<xref ref-type="bibr" rid="B43">Khor et al., 2016</xref>). The accumulation of glycerol 3-phosphate was linked with increased NAD<sup>&#x2b;</sup>, because less NAD<sup>&#x2b;</sup> is converted to NADH due to less conversion of glycerol 3-phosphate to DHAP. In this study, an upregulation of NAD<sup>&#x2b;</sup> was seen after 3&#xa0;months of TRF supplementation in the adult group.</p>
<p>As for the muscle metabolomes expression in the old group of rats, several metabolites particularly the amino acids were downregulated. TRF treatment however, increased the expression of aspartic acid, phenylalanine, tryptophan and histidine besides upregulating N6-Me-adenosine, cytidine, xanthine, indoleacrylic acid and N-acetylneuraminic acid in old rats. Aspartic acid is important in glutamate flux through the TCA cycle and glutamate transamination (<xref ref-type="bibr" rid="B9">Birsoy et al., 2015</xref>). A previous study showed that aspartic acid levels decreased in old age (<xref ref-type="bibr" rid="B50">Lo et al., 2020</xref>) which was similar to the findings of this current study. However, with TRF treatment, the aspartic acid level was upregulated by 8.98-fold in old group of rats. This shows that TRF supplementation reverses the age-declining cause of aspartic acid involvement in biochemical pathways of TCA cycle activity (<xref ref-type="bibr" rid="B46">Lancha et al., 2009</xref>).</p>
<p>The metabolites profiled also detected an upregulation of N6-Me-Adenosine. Researchers in Bonn, Germany, have reported that adenosine, a metabolite and signaling molecule, can enhance muscle function and brown fat during ageing and obesity. N6-methyladenosine is a methylation product which occurs in the N6-position of adenosine, the most prevalent internal modification of eukaryotic mRNA. Many reports have suggested that N6-methyladenosine modulates gene expression, which regulates cellular processes, including cell self-renewal, differentiation, invasion and apoptosis (<xref ref-type="bibr" rid="B37">He et al., 2019</xref>). Recent studies have shown that N6-methyladenosine plays an essential function in skeletal muscle development by regulating myoblast proliferation and differentiation during myogenesis and is the key to biological processes and regulatory pathways during skeletal muscle development (<xref ref-type="bibr" rid="B88">Zhang et al., 2020</xref>). N6-methyladenosine can accurately regulate stem cell differentiation and reprogram it during stem cell development by modulating the gene expression involved in the corresponding processes (<xref ref-type="bibr" rid="B83">Wang et al., 2019</xref>). Similar to the function of glycerol 3-phosphate, which plays a role in muscle regeneration, our results showed that N6-methyl adenosine was downregulated in old rats when compared to the young and adult control groups. However, after 3&#xa0;months of TRF supplementation, the concentration of N6-methyl adenosine has increased in both adult and old groups of rats, showing that TRF supplementation might be involved in facilitating the muscle regeneration process. Significant metabolic changes between the control and treated group were summarised in <xref ref-type="fig" rid="F9">Figure 9</xref>.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Significant metabolic changes after tocotrienol-rich fraction treatment.</p>
</caption>
<graphic xlink:href="fmolb-09-1008908-g009.tif"/>
</fig>
<p>The muscle performance finding from this study was limited as there were logistic issues due to the Covid-19 pandemic and the lack of proper software to observe the behaviour of the rats during the muscle performance tests. Therefore, further study is needed to explain the effect of TRF on muscle performance. However, the molecular analysis of the mechanism of TRF in reducing the level of oxidative stress in muscle supported by the modulation of the metabolic pathways observed in the present study strengthens the properties of TRF as a potential agent to prevent age-related muscle degeneration and sarcopenia.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Our data indicate that TRF improves muscular function, and delays muscle degeneration due to ageing in Sprague Dawley rats. Our findings also showed the principal variations in muscle metabolomes due to ageing as shown in the old and young groups of rats which were related to tissue turnover, fibre size and mitochondrial function. The effect of tocotrienol-rich fraction on reducing several metabolites such as glycerol 3-phosphate and upregulating several amino acids and N6-Me-adenosine are likely to ameliorate muscle regeneration and cell self-renewal in the old group of rats. The mechanisms underlying the modulation in skeletal muscle metabolomes expression following TRF supplementation positively impact the potential treatment of sarcopenia in aged rats.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by the Universiti Kebangsaan Malaysia Animal Ethical Committee.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>SM designed the study and supervised the project. SS, NA, and NH performed the experiments and prepared the figures. SM and JT provided experimental technical assistance and commented on the results. SS, JT, and SM wrote the paper. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was financially supported by the Universiti Kebangsaan Malaysia Grant DIP/2019/030.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>Author NI was employed by the company Sime Darby Plantation Berhad.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmolb.2022.1008908/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmolb.2022.1008908/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.zip" id="SM1" mimetype="application/zip" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Al-Bakheit</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Traka</surname>
<given-names>&#x27;a.</given-names>
</name>
<name>
<surname>Saha</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Mithen</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Melchini</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Melchini</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Accumulation of palmitoylcarnitine and its effect on pro-inflammatory pathways and calcium influx in prostate cancer</article-title>. <source>Prostate</source> <volume>76</volume>, <fpage>1326</fpage>&#x2013;<lpage>1337</lpage>. <pub-id pub-id-type="doi">10.1002/pros.23222</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Allen</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Ramalingam</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Menikdiwela</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Scoggin</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>C. L.</given-names>
</name>
<name>
<surname>Tomison</surname>
<given-names>M. D.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Effects of delta-tocotrienol on obesity-related adipocyte hypertrophy, inflammation and hepatic steatosis in high-fat-fed mice</article-title>. <source>J. Nutr. Biochem.</source> <volume>48</volume>, <fpage>128</fpage>&#x2013;<lpage>137</lpage>. <pub-id pub-id-type="doi">10.1016/j.jnutbio.2017.07.003</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Andreollo</surname>
<given-names>N. A.</given-names>
</name>
<name>
<surname>Santos</surname>
<given-names>E. F.</given-names>
</name>
<name>
<surname>Ara&#xfa;jo</surname>
<given-names>M. R.</given-names>
</name>
<name>
<surname>Lopes</surname>
<given-names>L. R.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Idade dos ratos versus idade humana: Qual &#xe9; a rela&#xe7;&#xe3;o?</article-title> <source>ABCD, Arq. Bras. Cir. Dig.</source> <volume>25</volume>, <fpage>49</fpage>&#x2013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1590/s0102-67202012000100011</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baek</surname>
<given-names>K-W.</given-names>
</name>
<name>
<surname>Jung</surname>
<given-names>Y-K.</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>J-S.</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>J. S.</given-names>
</name>
<name>
<surname>Hah</surname>
<given-names>Y-S.</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>S-J.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Rodent model of muscular atrophy for sarcopenia study</article-title>. <source>J. Bone Metab.</source> <volume>27</volume>, <fpage>97</fpage>&#x2013;<lpage>110</lpage>. <pub-id pub-id-type="doi">10.11005/jbm.2020.27.2.97</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baldwin</surname>
<given-names>J. E.</given-names>
</name>
<name>
<surname>Krebs</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>1981</year>). <article-title>The evolution of metabolic cycles</article-title>. <source>Nature</source> <volume>291</volume>, <fpage>381</fpage>&#x2013;<lpage>382</lpage>. <pub-id pub-id-type="doi">10.1038/291381a0</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Beard</surname>
<given-names>J. R.</given-names>
</name>
<name>
<surname>Officer</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>de Carvalho</surname>
<given-names>I. A.</given-names>
</name>
<name>
<surname>Sadana</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Pot</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Michel</surname>
<given-names>J. P.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>The world report on ageing and health: A policy framework for healthy ageing</article-title>. <source>Lancet</source> <volume>387</volume>, <fpage>2145</fpage>&#x2013;<lpage>2154</lpage>. <pub-id pub-id-type="doi">10.1016/s0140-6736(15)00516-4</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bhattacharya</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Granger</surname>
<given-names>C. B.</given-names>
</name>
<name>
<surname>Craig</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Haynes</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Bain</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Stevens</surname>
<given-names>R. D.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>Validation of the association between a branched chain amino acid metabolite profile and extremes of coronary artery disease in patients referred for cardiac catheterization</article-title>. <source>Atherosclerosis</source> <volume>232</volume>, <fpage>191</fpage>&#x2013;<lpage>196</lpage>. <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2013.10.036</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Biens&#xf8;</surname>
<given-names>R. S.</given-names>
</name>
<name>
<surname>Olesen</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Gliemann</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Schmidt</surname>
<given-names>J. F.</given-names>
</name>
<name>
<surname>Matzen</surname>
<given-names>M. S.</given-names>
</name>
<name>
<surname>Wojtaszewski</surname>
<given-names>J. F.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>&#x27;Effects of exercise training on regulation of skeletal muscle glucose metabolism in elderly men</article-title>. <source>J. Gerontol. A Biol. Sci. Med. Sci.</source> <volume>70</volume>, <fpage>866</fpage>&#x2013;<lpage>872</lpage>.</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Birsoy</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>W. W.</given-names>
</name>
<name>
<surname>Freinkman</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Abu-Remaileh</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sabatini</surname>
<given-names>D. M.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>An essential role of the mitochondrial electron transport chain in cell proliferation is to enable aspartate synthesis</article-title>. <source>Cell.</source> <volume>162</volume>, <fpage>540</fpage>&#x2013;<lpage>551</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2015.07.016</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Braidy</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Guillemin</surname>
<given-names>G. J.</given-names>
</name>
<name>
<surname>Mansour</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Chan-Ling</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Poljak</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Grant</surname>
<given-names>R.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Age related changes in NAD&#x2b; metabolism oxidative stress and Sirt1 activity in wistar rats</article-title>. <source>PLOS ONE</source> <volume>6</volume>, <fpage>e19194</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0019194</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bratic</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Trifunovic</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Mitochondrial energy metabolism and ageing</article-title>. <source>Biochimica Biophysica Acta (BBA) - Bioenergetics</source> <volume>1797</volume>, <fpage>961</fpage>&#x2013;<lpage>967</lpage>. <pub-id pub-id-type="doi">10.1016/j.bbabio.2010.01.004</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Burdeos</surname>
<given-names>G. C.</given-names>
</name>
<name>
<surname>Nakagawa</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Kimura</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Miyazawa</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Tocotrienol attenuates triglyceride accumulation in HepG2 cells and F344 rats</article-title>. <source>Lipids</source> <volume>47</volume>, <fpage>471</fpage>&#x2013;<lpage>481</lpage>. <pub-id pub-id-type="doi">10.1007/s11745-012-3659-0</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Calles-Escand&#xf3;n</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Poehlman</surname>
<given-names>E. T.</given-names>
</name>
</person-group> (<year>1997</year>). <article-title>Aging, fat oxidation and exercise</article-title>. <source>Aging (Milano)</source> <volume>9</volume>, <fpage>57</fpage>&#x2013;<lpage>63</lpage>.</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ceci</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Duranti</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Leonetti</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Pietropaoli</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Spinozzi</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Marcocci</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Adaptive responses of heart and skeletal muscle to spermine oxidase overexpression: Evaluation of a new transgenic mouse model</article-title>. <source>Free Radic. Biol. Med.</source> <volume>103</volume>, <fpage>216</fpage>&#x2013;<lpage>225</lpage>. <pub-id pub-id-type="doi">10.1016/j.freeradbiomed.2016.12.040</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chai</surname>
<given-names>R. J.</given-names>
</name>
<name>
<surname>Vukovic</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Dunlop</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Grounds</surname>
<given-names>M. D.</given-names>
</name>
<name>
<surname>Shavlakadze</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Striking denervation of neuromuscular junctions without lumbar motoneuron loss in geriatric mouse muscle</article-title>. <source>PLOS ONE</source> <volume>6</volume>, <fpage>e28090</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0028090</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chin</surname>
<given-names>K. Y.</given-names>
</name>
<name>
<surname>Wong</surname>
<given-names>S. K.</given-names>
</name>
<name>
<surname>Japar Sidik</surname>
<given-names>F. Z.</given-names>
</name>
<name>
<surname>Abdul Hamid</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Abas</surname>
<given-names>N. H.</given-names>
</name>
<name>
<surname>Mohd Ramli</surname>
<given-names>E. S.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>The effects of annatto tocotrienol supplementation on cartilage and subchondral bone in an animal model of osteoarthritis induced by monosodium iodoacetate</article-title>. <source>Int. J. Environ. Res. Public Health</source> <volume>16</volume>. <pub-id pub-id-type="doi">10.3390/ijerph16162897</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chung</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Elmassry</surname>
<given-names>M. M.</given-names>
</name>
<name>
<surname>Kottapalli</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Kottapalli</surname>
<given-names>K. R.</given-names>
</name>
<name>
<surname>Kaur</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Dufour</surname>
<given-names>J. M.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Metabolic benefits of annatto-extracted tocotrienol on glucose homeostasis, inflammation, and gut microbiome</article-title>. <source>Nutr. Res.</source> <volume>77</volume>, <fpage>97</fpage>&#x2013;<lpage>107</lpage>. <pub-id pub-id-type="doi">10.1016/j.nutres.2020.04.001</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chung</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Mo</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Zu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Elfakhani</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Rios</surname>
<given-names>S. R.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Potential roles of vitamin E in age-related changes in skeletal muscle health</article-title>. <source>Nutr. Res.</source> <volume>49</volume>, <fpage>23</fpage>&#x2013;<lpage>36</lpage>. <pub-id pub-id-type="doi">10.1016/j.nutres.2017.09.005</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Clark</surname>
<given-names>B. C.</given-names>
</name>
<name>
<surname>Manini</surname>
<given-names>T. M.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>What is dynapenia?</article-title> <source>Nutrition</source> <volume>28</volume>, <fpage>495</fpage>&#x2013;<lpage>503</lpage>. <pub-id pub-id-type="doi">10.1016/j.nut.2011.12.002</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Consitt</surname>
<given-names>Le A.</given-names>
</name>
<name>
<surname>Dudley</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Saxena</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Impact of endurance and resistance training on skeletal muscle glucose metabolism in older adults</article-title>. <source>Nutrients</source> <volume>11</volume>, <fpage>2636</fpage>. <pub-id pub-id-type="doi">10.3390/nu11112636</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cooper</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Fielding</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Visser</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>van Loon</surname>
<given-names>L. J.</given-names>
</name>
<name>
<surname>Rolland</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Orwoll</surname>
<given-names>E.</given-names>
</name>
<etal/>
</person-group> (<year>2013</year>). <article-title>Tools in the assessment of sarcopenia</article-title>. <source>Calcif. Tissue Int.</source> <volume>93</volume>, <fpage>201</fpage>&#x2013;<lpage>210</lpage>. <pub-id pub-id-type="doi">10.1007/s00223-013-9757-z</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cruz-Jentoft</surname>
<given-names>A. J.</given-names>
</name>
<name>
<surname>Baeyens</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Bauer</surname>
<given-names>J. P.</given-names>
</name>
<name>
<surname>Boirie</surname>
<given-names>J. M.</given-names>
</name>
<name>
<surname>Cederholm</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Landi</surname>
<given-names>T.</given-names>
</name>
<etal/>
</person-group> (<year>2010</year>). <article-title>Sarcopenia: European consensus on definition and diagnosis: Report of the European working group on sarcopenia in older people</article-title>. <source>Age Ageing</source> <volume>39</volume>, <fpage>412</fpage>&#x2013;<lpage>423</lpage>. <pub-id pub-id-type="doi">10.1093/ageing/afq034</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Distefano</surname>
<given-names>Giovanna</given-names>
</name>
<name>
<surname>Goodpaster</surname>
<given-names>B. H.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Effects of exercise and aging on skeletal muscle</article-title>. <source>Cold Spring Harb. Perspect. Med.</source> <volume>8</volume>, <fpage>a029785</fpage>. <pub-id pub-id-type="doi">10.1101/cshperspect.a029785</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ermini</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>1976</year>). <article-title>Ageing changes in mammalian skeletal muscle</article-title>. <source>Gerontology</source> <volume>22</volume>, <fpage>301</fpage>&#x2013;<lpage>316</lpage>. <pub-id pub-id-type="doi">10.1159/000212145</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fazelzadeh</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Hangelbroek</surname>
<given-names>R. W.</given-names>
</name>
<name>
<surname>Tieland</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>de Groot</surname>
<given-names>L. C.</given-names>
</name>
<name>
<surname>Verdijk</surname>
<given-names>L. B.</given-names>
</name>
<name>
<surname>van Loon</surname>
<given-names>L. J.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>The muscle metabolome differs between healthy and frail older adults</article-title>. <source>J. Proteome Res.</source> <volume>15</volume>, <fpage>499</fpage>&#x2013;<lpage>509</lpage>. <pub-id pub-id-type="doi">10.1021/acs.jproteome.5b00840</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Feng</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Hanson</surname>
<given-names>R. W.</given-names>
</name>
<name>
<surname>Berger</surname>
<given-names>N. A.</given-names>
</name>
<name>
<surname>Trubitsyn</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Reprogramming of energy metabolism as a driver of aging</article-title>. <source>Oncotarget</source> <volume>7</volume>, <fpage>15410</fpage>&#x2013;<lpage>15420</lpage>. <pub-id pub-id-type="doi">10.18632/oncotarget.7645</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Frega</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Mozzon</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Bocci</surname>
<given-names>F.</given-names>
</name>
</person-group> (<year>1998</year>). <article-title>Identification and estimation of tocotrienols in the annatto lipid fraction by gas chromatography-mass spectrometry</article-title>. <source>J. Amer Oil Chem. Soc.</source> <volume>75</volume>, <fpage>1723</fpage>&#x2013;<lpage>1727</lpage>. <pub-id pub-id-type="doi">10.1007/s11746-998-0323-1</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fukui</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Neuroprotective and anti-obesity effects of tocotrienols</article-title>. <source>J. Nutr. Sci. Vitaminol.</source> <volume>65</volume>, <fpage>S185</fpage>&#x2013;<lpage>S187</lpage>. <pub-id pub-id-type="doi">10.3177/jnsv.65.s185</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garvey</surname>
<given-names>S. M.</given-names>
</name>
<name>
<surname>Dugle</surname>
<given-names>J. E.</given-names>
</name>
<name>
<surname>Kennedy</surname>
<given-names>A. D.</given-names>
</name>
<name>
<surname>McDunn</surname>
<given-names>J. E.</given-names>
</name>
<name>
<surname>Kline</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>Metabolomic profiling reveals severe skeletal muscle group-specific perturbations of metabolism in aged FBN rats</article-title>. <source>Biogerontology</source> <volume>15</volume>, <fpage>217</fpage>&#x2013;<lpage>232</lpage>. <pub-id pub-id-type="doi">10.1007/s10522-014-9492-5</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Gasior</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Huber</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Lamura</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Lelkes</surname>
<given-names>O.</given-names>
</name>
<name>
<surname>Marin</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Rodrigues</surname>
<given-names>R.</given-names>
</name>
<etal/>
</person-group> (<year>2012</year>). &#x201c;<article-title>Facts and figures on health ageing and long-term care</article-title>,&#x201d; in <source>European Centre for social welfare policy and research</source> (<publisher-loc>Vienna</publisher-loc>.</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gnoni</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Longo</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Gnoni</surname>
<given-names>G. V.</given-names>
</name>
<name>
<surname>Giudetti</surname>
<given-names>A. M.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Carnitine in human muscle bioenergetics: Can carnitine supplementation improve physical exercise?</article-title> <source>Molecules</source> <volume>25</volume>, <fpage>25</fpage>. <pub-id pub-id-type="doi">10.3390/molecules25010182</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goodpaster</surname>
<given-names>B. H.</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>S. W.</given-names>
</name>
<name>
<surname>Harris</surname>
<given-names>T. B.</given-names>
</name>
<name>
<surname>Kritchevsky</surname>
<given-names>S. B.</given-names>
</name>
<name>
<surname>Nevitt</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Schwartz</surname>
<given-names>A. V.</given-names>
</name>
<etal/>
</person-group> (<year>2006</year>). <article-title>The loss of skeletal muscle strength, mass, and quality in older adults: The health, aging and body composition study</article-title>. <source>Journals Gerontology Ser. A Biol. Sci. Med. Sci.</source> <volume>61</volume>, <fpage>1059</fpage>&#x2013;<lpage>1064</lpage>. <pub-id pub-id-type="doi">10.1093/gerona/61.10.1059</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goon</surname>
<given-names>D. E.</given-names>
</name>
<name>
<surname>Ab-Rahim</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Mohd Sakri</surname>
<given-names>A. H.</given-names>
</name>
<name>
<surname>Mohd Sakri</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Mazlan</surname>
<given-names>J. K.</given-names>
</name>
<name>
<surname>Tan</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>&#x27;Untargeted serum metabolites profiling in high-fat diet mice supplemented with enhanced palm tocotrienol-rich fraction using UHPLC-MS</article-title>. <source>Sci. Rep.</source> <volume>11</volume>, <fpage>21001</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-021-00454-9</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goon</surname>
<given-names>Efendy</given-names>
</name>
<name>
<surname>Sheikh Abdul Kadir</surname>
<given-names>Siti</given-names>
</name>
<name>
<surname>Latip</surname>
<given-names>Normala Ab</given-names>
</name>
<name>
<surname>Ab. Rahim</surname>
<given-names>Sharaniza Ab</given-names>
</name>
<name>
<surname>Mazlan</surname>
<given-names>Musalmah</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Palm oil in lipid-based formulations and drug delivery systems</article-title>. <source>Biomolecules</source> <volume>9</volume>, <fpage>64</fpage>. <pub-id pub-id-type="doi">10.3390/biom9020064</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Haleagrahara</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Swaminathan</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Chakravarthi</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Radhakrishnan</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>&#x27;Therapeutic efficacy of vitamin E &#x3b4;-tocotrienol in collagen-induced rat model of arthritis</article-title>. <source>Biomed. Res. Int.</source>, <fpage>539540</fpage>. <pub-id pub-id-type="doi">10.1155/2014/539540</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hamasaki</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Hardjono</surname>
<given-names>I. S.</given-names>
</name>
<name>
<surname>Minakami</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>1978</year>). <article-title>&#x27;Transport of phosphoenolpyruvate through the erythrocyte membrane</article-title>. <source>Biochem. J.</source> <volume>170</volume>, <fpage>39</fpage>&#x2013;<lpage>46</lpage>. <pub-id pub-id-type="doi">10.1042/bj1700039</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Shu</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Yin</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>&#x27;Functions of N6-methyladenosine and its role in cancer</article-title>. <source>Mol. Cancer</source> <volume>18</volume>, <fpage>176</fpage>. <pub-id pub-id-type="doi">10.1186/s12943-019-1109-9</pub-id>
</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Horgan</surname>
<given-names>R. P.</given-names>
</name>
<name>
<surname>Kenny</surname>
<given-names>L. C.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>&#x27;&#x2018;Omic&#x2019; technologies: Genomics, transcriptomics, proteomics and metabolomics</article-title>. <source>Obstetrician Gynaecol.</source> <volume>13</volume>, <fpage>189</fpage>&#x2013;<lpage>195</lpage>. <pub-id pub-id-type="doi">10.1576/toag.13.3.189.27672</pub-id>
</citation>
</ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Houtkooper</surname>
<given-names>R. H.</given-names>
</name>
<name>
<surname>Argmann</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Houten</surname>
<given-names>S. M.</given-names>
</name>
<name>
<surname>Cant&#xf3;</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Jeninga</surname>
<given-names>E. H.</given-names>
</name>
<name>
<surname>Andreux</surname>
<given-names>P. A.</given-names>
</name>
<etal/>
</person-group> (<year>2011</year>). <article-title>The metabolic footprint of aging in mice</article-title>. <source>Sci. Rep.</source> <volume>1</volume>, <fpage>134</fpage>. <pub-id pub-id-type="doi">10.1038/srep00134</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kameda</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Teruya</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Yanagida</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Kondoh</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>&#x27;Frailty markers comprise blood metabolites involved in antioxidation, cognition, and mobility</article-title>. <source>Proc. Natl. Acad. Sci.</source> <volume>117</volume>, <fpage>9483</fpage>&#x2013;<lpage>9489</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.1920795117</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kennedy</surname>
<given-names>B. K.</given-names>
</name>
<name>
<surname>Berger</surname>
<given-names>S. L.</given-names>
</name>
<name>
<surname>Brunet</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Campisi</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Cuervo</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Epel</surname>
<given-names>E. S.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>&#x27;Geroscience: Linking aging to chronic disease</article-title>. <source>Cell.</source> <volume>159</volume>, <fpage>709</fpage>&#x2013;<lpage>713</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2014.10.039</pub-id>
</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khor</surname>
<given-names>S. C.</given-names>
</name>
<name>
<surname>Abdul Karim</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Wan Ngah</surname>
<given-names>W. Z.</given-names>
</name>
<name>
<surname>Mohd Yusof</surname>
<given-names>Y. A.</given-names>
</name>
<name>
<surname>Makpol</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>&#x27;Vitamin E in sarcopenia: Current evidences on its role in prevention and treatment</article-title>. <source>Oxidative Med. Cell. Longev.</source>, <fpage>914853</fpage>&#x2013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1155/2014/914853</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khor</surname>
<given-names>S. C.</given-names>
</name>
<name>
<surname>Razak</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Wan Ngah</surname>
<given-names>W. Z.</given-names>
</name>
<name>
<surname>Mohd Yusof</surname>
<given-names>Y. A.</given-names>
</name>
<name>
<surname>Abdul Karim</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Makpol</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>The tocotrienol-rich fraction is superior to tocopherol in promoting myogenic differentiation in the prevention of replicative senescence of myoblasts</article-title>. <source>PLOS ONE</source> <volume>11</volume>, <fpage>e0149265</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0149265</pub-id>
</citation>
</ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kob</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Fellner</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Bertsch</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Wittmann</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Mishura</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Sieber</surname>
<given-names>C. C.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>&#x27;Gender-specific differences in the development of sarcopenia in the rodent model of the ageing high-fat rat</article-title>. <source>J. cachexia, sarcopenia muscle</source> <volume>6</volume>, <fpage>181</fpage>&#x2013;<lpage>191</lpage>. <pub-id pub-id-type="doi">10.1002/jcsm.12019</pub-id>
</citation>
</ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kohrt</surname>
<given-names>W. M.</given-names>
</name>
<name>
<surname>Holloszy</surname>
<given-names>J. O.</given-names>
</name>
</person-group> (<year>1995</year>). <article-title>&#x27;Loss of skeletal muscle mass with aging: Effect on glucose tolerance</article-title>. <source>J. Gerontol. A Biol. Sci. Med. Sci.</source> <volume>50</volume>, <fpage>68</fpage>&#x2013;<lpage>72</lpage>. <pub-id pub-id-type="doi">10.1093/gerona/50a.special_issue.68</pub-id>
</citation>
</ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lancha</surname>
<given-names>A. H.</given-names>
<suffix>Jr.</suffix>
</name>
<name>
<surname>Poortmans</surname>
<given-names>J. R.</given-names>
</name>
<name>
<surname>Pereira</surname>
<given-names>L. O.</given-names>
</name>
</person-group> (<year>2009</year>). <article-title>&#x27;The effect of 5 days of aspartate and asparagine supplementation on glucose transport activity in rat muscle</article-title>. <source>Cell. Biochem. Funct.</source> <volume>27</volume>, <fpage>552</fpage>&#x2013;<lpage>557</lpage>. <pub-id pub-id-type="doi">10.1002/cbf.1606</pub-id>
</citation>
</ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lauretani</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Russo</surname>
<given-names>C. R.</given-names>
</name>
<name>
<surname>Bandinelli</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Bartali</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Cavazzini</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Di Iorio</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2003</year>). <article-title>&#x27;Age-associated changes in skeletal muscles and their effect on mobility: An operational diagnosis of sarcopenia</article-title>. <source>J. Appl. Physiol.</source> <volume>95</volume>, <fpage>1851</fpage>&#x2013;<lpage>1860</lpage>. <pub-id pub-id-type="doi">10.1152/japplphysiol.00246.2003</pub-id>
</citation>
</ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lim</surname>
<given-names>J. J.</given-names>
</name>
<name>
<surname>Wan Zurinah</surname>
<given-names>W. N.</given-names>
</name>
<name>
<surname>Vincent</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Norwahidah</surname>
<given-names>A. K.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Tocotrienol-rich fraction (TRF) treatment promotes proliferation capacity of stress-induced premature senescence myoblasts and modulates the renewal of satellite cells: Microarray analysis</article-title>. <source>Oxidative Med. Cell. Longev.</source>, <fpage>9141343</fpage>. <pub-id pub-id-type="doi">10.1155/2019/9141343</pub-id>
</citation>
</ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Qu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>X.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Mitochondrial glycerol 3-phosphate dehydrogenase promotes skeletal muscle regeneration</article-title>. <source>EMBO Mol. Med.</source> <volume>10</volume>. <pub-id pub-id-type="doi">10.15252/emmm.201809390</pub-id>
</citation>
</ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lo</surname>
<given-names>C-J.</given-names>
</name>
<name>
<surname>Ko</surname>
<given-names>Y-S.</given-names>
</name>
<name>
<surname>Chang</surname>
<given-names>S-W.</given-names>
</name>
<name>
<surname>Tang</surname>
<given-names>H-Y.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>C-Y.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>Y-C.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>&#x27;Metabolic signatures of muscle mass loss in an elderly Taiwanese population</article-title>. <source>Aging</source> <volume>13</volume>, <fpage>944</fpage>&#x2013;<lpage>956</lpage>. <pub-id pub-id-type="doi">10.18632/aging.202209</pub-id>
</citation>
</ref>
<ref id="B51">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>L&#xf3;pez-Ot&#xed;n</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Blasco</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Partridge</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Serrano</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Kroemer</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>The hallmarks of aging</article-title>. <source>Cell.</source> <volume>153</volume>, <fpage>1194</fpage>&#x2013;<lpage>1217</lpage>.</citation>
</ref>
<ref id="B52">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mahjabeen</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Khan</surname>
<given-names>D. A.</given-names>
</name>
<name>
<surname>Mirza</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Pervez</surname>
<given-names>M. A.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>&#x27;Effects of delta-tocotrienol supplementation on glycemic control, oxidative stress, inflammatory biomarkers and miRNA expression in type 2 diabetes mellitus: A randomized control trial</article-title>. <source>Phytother. Res.</source> <volume>35</volume>, <fpage>3968</fpage>&#x2013;<lpage>3976</lpage>. <pub-id pub-id-type="doi">10.1002/ptr.7113</pub-id>
</citation>
</ref>
<ref id="B53">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mai</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>T&#xf6;njes</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Kovacs</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Michael</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Fiedler</surname>
<given-names>G. M.</given-names>
</name>
<name>
<surname>Leichtle</surname>
<given-names>A. B.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Serum levels of acylcarnitines are altered in prediabetic conditions</article-title>. <source>PLOS ONE</source> <volume>8</volume>, <fpage>e82459</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0082459</pub-id>
</citation>
</ref>
<ref id="B54">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Massudi</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Grant</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Braidy</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Guest</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Farnsworth</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Guillemin</surname>
<given-names>G. J.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>&#x27;Age-associated changes in oxidative stress and NAD&#x2b; metabolism in human tissue</article-title>. <source>PLOS ONE</source> <volume>7</volume>, <fpage>e42357</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0042357</pub-id>
</citation>
</ref>
<ref id="B55">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meredith</surname>
<given-names>C. N.</given-names>
</name>
<name>
<surname>Frontera</surname>
<given-names>W. R.</given-names>
</name>
<name>
<surname>Fisher</surname>
<given-names>E. C.</given-names>
</name>
<name>
<surname>Hughes</surname>
<given-names>V. A.</given-names>
</name>
<name>
<surname>Herland</surname>
<given-names>J. C.</given-names>
</name>
<name>
<surname>Edwards</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>1989</year>). <article-title>&#x27;Peripheral effects of endurance training in young and old subjects</article-title>. <source>J. Appl. Physiol.</source> <volume>66</volume>, <fpage>2844</fpage>&#x2013;<lpage>2849</lpage>. <pub-id pub-id-type="doi">10.1152/jappl.1989.66.6.2844</pub-id>
</citation>
</ref>
<ref id="B56">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miljkovic</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Lim</surname>
<given-names>J. Y.</given-names>
</name>
<name>
<surname>Miljkovic</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Frontera</surname>
<given-names>W. R.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Aging of skeletal muscle fibers</article-title>. <source>Ann. rehabilitation Med.</source> <volume>39</volume> (<issue>2</issue>), <fpage>155</fpage>&#x2013;<lpage>162</lpage>. <pub-id pub-id-type="doi">10.5535/arm.2015.39.2.155</pub-id>
</citation>
</ref>
<ref id="B57">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nemutlu</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Gupta</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Viqar</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Andre</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Jahangir</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>Decline of phosphotransfer and substrate supply metabolic circuits hinders ATP cycling in aging myocardium</article-title>. <source>PLOS ONE</source> <volume>10</volume>, <fpage>e0136556</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0136556</pub-id>
</citation>
</ref>
<ref id="B58">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Newman</surname>
<given-names>A. B.</given-names>
</name>
<name>
<surname>Kupelian</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Visser</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Simonsick</surname>
<given-names>E. M.</given-names>
</name>
<name>
<surname>Goodpaster</surname>
<given-names>B. H.</given-names>
</name>
<name>
<surname>Kritchevsky</surname>
<given-names>S. B.</given-names>
</name>
<etal/>
</person-group> (<year>2006</year>). <article-title>&#x27;Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort</article-title>. <source>J. Gerontol. A Biol. Sci. Med. Sci.</source> <volume>61</volume>, <fpage>72</fpage>&#x2013;<lpage>77</lpage>. <pub-id pub-id-type="doi">10.1093/gerona/61.1.72</pub-id>
</citation>
</ref>
<ref id="B59">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nichols</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>O&#x27;Doherty</surname>
<given-names>A. F.</given-names>
</name>
<name>
<surname>Taylor</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Clark</surname>
<given-names>A. L.</given-names>
</name>
<name>
<surname>Carroll</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Ingle</surname>
<given-names>L.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>&#x27;Low skeletal muscle mass is associated with low aerobic capacity and increased mortality risk in patients with coronary heart disease - a CARE CR study</article-title>. <source>Clin. Physiol. Funct. Imaging</source> <volume>39</volume>, <fpage>93</fpage>&#x2013;<lpage>102</lpage>. <pub-id pub-id-type="doi">10.1111/cpf.12539</pub-id>
</citation>
</ref>
<ref id="B60">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Obrador</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Salvador-Palmer</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Dellinger</surname>
<given-names>R. W.</given-names>
</name>
<name>
<surname>Estrela</surname>
<given-names>J. M.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>&#x27;NAD(&#x2b;) precursors and antioxidants for the treatment of amyotrophic lateral sclerosis</article-title>. <source>Biomedicines</source> <volume>9</volume>, <fpage>1000</fpage>. <pub-id pub-id-type="doi">10.3390/biomedicines9081000</pub-id>
</citation>
</ref>
<ref id="B61">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ortman</surname>
<given-names>J. M.</given-names>
</name>
<name>
<surname>Velkoff</surname>
<given-names>V. A.</given-names>
</name>
<name>
<surname>Hogan</surname>
<given-names>H.</given-names>
</name>
</person-group> <year>2014</year>. "<article-title>An aging nation: The older population in the United States</article-title> " In, <fpage>1</fpage>&#x2013;<lpage>28</lpage>.</citation>
</ref>
<ref id="B62">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pang</surname>
<given-names>K. L.</given-names>
</name>
<name>
<surname>Chin</surname>
<given-names>K. Y.</given-names>
</name>
</person-group> (<year>2019</year>). <source>The Role of Tocotrienol in Protecting Against Metabolic Diseases</source>, <volume>24</volume>, <pub-id pub-id-type="doi">10.3390/molecules24050923</pub-id>
<source>Molecules</source>
</citation>
</ref>
<ref id="B63">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pataky</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Kumar</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Klaus</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Nair</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>&#x27;498-P: Resistance exercise rapidly alters citric acid cycle and amino acid metabolism in skeletal muscle</article-title>. <source>Diabetes</source> <volume>70</volume>, <fpage>498</fpage>. <pub-id pub-id-type="doi">10.2337/db21-498-p</pub-id>
</citation>
</ref>
<ref id="B64">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Peh</surname>
<given-names>H. Y.</given-names>
</name>
<name>
<surname>Tan</surname>
<given-names>W. S.</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Wong</surname>
<given-names>W. S.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>&#x27;Vitamin E therapy beyond cancer: Tocopherol versus tocotrienol</article-title>. <source>Pharmacol. Ther.</source> <volume>162</volume>, <fpage>152</fpage>&#x2013;<lpage>169</lpage>. <pub-id pub-id-type="doi">10.1016/j.pharmthera.2015.12.003</pub-id>
</citation>
</ref>
<ref id="B65">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pehleman</surname>
<given-names>T. L.</given-names>
</name>
<name>
<surname>Peters</surname>
<given-names>S. J.</given-names>
</name>
<name>
<surname>Heigenhauser</surname>
<given-names>G. J.</given-names>
</name>
<name>
<surname>Spriet</surname>
<given-names>L. L.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>&#x27;Enzymatic regulation of glucose disposal in human skeletal muscle after a high-fat, low-carbohydrate diet</article-title>. <source>J. Appl. Physiol.</source> <volume>98</volume>, <fpage>100</fpage>&#x2013;<lpage>107</lpage>. <pub-id pub-id-type="doi">10.1152/japplphysiol.00686.2004</pub-id>
</citation>
</ref>
<ref id="B66">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>P&#xf6;tsch</surname>
<given-names>M. S.</given-names>
</name>
<name>
<surname>Tschirner</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Palus</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>von Haehling</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Doehner</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Beadle</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>The anabolic catabolic transforming agent (ACTA) espindolol increases muscle mass and decreases fat mass in old rats</article-title>. <source>J. cachexia, sarcopenia muscle</source> <volume>5</volume>, <fpage>149</fpage>&#x2013;<lpage>158</lpage>.</citation>
</ref>
<ref id="B67">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Poulsen</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Wojtaszewski</surname>
<given-names>J. F.</given-names>
</name>
<name>
<surname>Petersen</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Christensen</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Richter</surname>
<given-names>E. A.</given-names>
</name>
<name>
<surname>Beck-Nielsen</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2005</year>). <article-title>Impact of genetic versus environmental factors on the control of muscle glycogen synthase activation in twins</article-title>. <source>Diabetes</source> <volume>54</volume>, <fpage>1289</fpage>&#x2013;<lpage>1296</lpage>. <pub-id pub-id-type="doi">10.2337/diabetes.54.5.1289</pub-id>
</citation>
</ref>
<ref id="B68">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Radhakrishnan</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Tudawe</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Chakravarthi</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Chiew</surname>
<given-names>G. S.</given-names>
</name>
<name>
<surname>Haleagrahara</surname>
<given-names>N.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>&#x27;Effect of &#x3b3;-tocotrienol in counteracting oxidative stress and joint damage in collagen-induced arthritis in rats</article-title>. <source>Exp. Ther. Med.</source> <volume>7</volume>, <fpage>1408</fpage>&#x2013;<lpage>1414</lpage>. <pub-id pub-id-type="doi">10.3892/etm.2014.1592</pub-id>
</citation>
</ref>
<ref id="B69">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ramanathan</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Tan</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Loh</surname>
<given-names>L. J.</given-names>
</name>
<name>
<surname>Soh</surname>
<given-names>B. S.</given-names>
</name>
<name>
<surname>Yap</surname>
<given-names>W. N.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>&#x27;Tocotrienol is a cardioprotective agent against ageing-associated cardiovascular disease and its associated morbidities</article-title>. <source>Nutr. Metab. (Lond)</source> <volume>15</volume>, <fpage>6</fpage>. <pub-id pub-id-type="doi">10.1186/s12986-018-0244-4</pub-id>
</citation>
</ref>
<ref id="B70">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ramos-Roman</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Sweetman</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Valdez</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Parks</surname>
<given-names>E. J.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>&#x27;Postprandial changes in plasma acylcarnitine concentrations as markers of fatty acid flux in overweight and obesity</article-title>. <source>Metabolism</source> <volume>61</volume>, <fpage>202</fpage>&#x2013;<lpage>212</lpage>. <pub-id pub-id-type="doi">10.1016/j.metabol.2011.06.008</pub-id>
</citation>
</ref>
<ref id="B71">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reginster</surname>
<given-names>J-Y.</given-names>
</name>
<name>
<surname>Cooper</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Rizzoli</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Kanis</surname>
<given-names>J. A.</given-names>
</name>
<name>
<surname>Appelboom</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Bautmans</surname>
<given-names>Ivan</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>&#x27;Recommendations for the conduct of clinical trials for drugs to treat or prevent sarcopenia</article-title>. <source>Aging - Clin. Exp. Res.</source> <volume>28</volume>, <fpage>47</fpage>&#x2013;<lpage>58</lpage>. <pub-id pub-id-type="doi">10.1007/s40520-015-0517-y</pub-id>
</citation>
</ref>
<ref id="B72">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Roberts</surname>
<given-names>A. W.</given-names>
</name>
<name>
<surname>Stellaogunwole</surname>
<given-names>U.</given-names>
</name>
<name>
<surname>Laura</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>And Meganrabe</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2018</year>). &#x201c;<article-title>The population 65 Years and older in the United States</article-title>,&#x201d; in <source>census.gov</source>.</citation>
</ref>
<ref id="B73">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Roubenoff</surname>
<given-names>R.</given-names>
</name>
</person-group> (<year>2000</year>). <article-title>&#x27;Sarcopenia and its implications for the elderly</article-title>. <source>Eur. J. Clin. Nutr.</source> <volume>54</volume> (<issue>3</issue>), <fpage>S40</fpage>&#x2013;<lpage>S47</lpage>. <pub-id pub-id-type="doi">10.1038/sj.ejcn.1601024</pub-id>
</citation>
</ref>
<ref id="B74">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schiaffino</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Mammucari</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Regulation of skeletal muscle growth by the IGF1-akt/PKB pathway: Insights from genetic models</article-title>. <source>Skelet. muscle</source> <volume>1</volume>, <fpage>4</fpage>. <pub-id pub-id-type="doi">10.1186/2044-5040-1-4</pub-id>
</citation>
</ref>
<ref id="B75">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schneider</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Chemistry and biology of vitamin E</article-title>. <source>Mol. Nutr. Food Res.</source> <volume>49</volume>, <fpage>7</fpage>&#x2013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.1002/mnfr.200400049</pub-id>
</citation>
</ref>
<ref id="B76">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sen</surname>
<given-names>C. K.</given-names>
</name>
<name>
<surname>Rink</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Khanna</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Palm oil-derived natural vitamin E alpha-tocotrienol in brain health and disease</article-title>. <source>J. Am. Coll. Nutr.</source> <volume>29</volume> (<issue>3</issue>), <fpage>314s</fpage>&#x2013;<lpage>323s</lpage>. <pub-id pub-id-type="doi">10.1080/07315724.2010.10719846</pub-id>
</citation>
</ref>
<ref id="B77">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shavlakadze</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Grounds</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>&#x27;Of bears, frogs, meat, mice and men: Complexity of factors affecting skeletal muscle mass and fat</article-title>. <source>Bioessays</source> <volume>28</volume>, <fpage>994</fpage>&#x2013;<lpage>1009</lpage>. <pub-id pub-id-type="doi">10.1002/bies.20479</pub-id>
</citation>
</ref>
<ref id="B78">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shen</surname>
<given-names>C. L.</given-names>
</name>
<name>
<surname>Klein</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Chin</surname>
<given-names>K. Y.</given-names>
</name>
<name>
<surname>Mo</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Tsai</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>R. S.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>&#x27;Tocotrienols for bone health: A translational approach</article-title>. <source>Ann. N. Y. Acad. Sci.</source> <volume>1401</volume>, <fpage>150</fpage>&#x2013;<lpage>165</lpage>. <pub-id pub-id-type="doi">10.1111/nyas.13449</pub-id>
</citation>
</ref>
<ref id="B79">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sood</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Gallagher</surname>
<given-names>I. J.</given-names>
</name>
<name>
<surname>Lunnon</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Rullman</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Keohane</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Crossland</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2015</year>). <article-title>&#x27;A novel multi-tissue RNA diagnostic of healthy ageing relates to cognitive health status</article-title>. <source>Genome Biol.</source> <volume>16</volume>, <fpage>185</fpage>. <pub-id pub-id-type="doi">10.1186/s13059-015-0750-x</pub-id>
</citation>
</ref>
<ref id="B80">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sousa-Victor</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Gutarra</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Garc&#xed;a-Prat</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Rodriguez-Ubreva</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Ortet</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Ruiz-Bonilla</surname>
<given-names>V.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>&#x27;Geriatric muscle stem cells switch reversible quiescence into senescence</article-title>. <source>Nature</source> <volume>506</volume>, <fpage>316</fpage>&#x2013;<lpage>321</lpage>. <pub-id pub-id-type="doi">10.1038/nature13013</pub-id>
</citation>
</ref>
<ref id="B81">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tarantini</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Yabluchanskiy</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>F&#xfc;l&#xf6;p</surname>
<given-names>G. A.</given-names>
</name>
<name>
<surname>Kiss</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Perz</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>O&#x27;Connor</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>&#x27;Age-Related alterations in gait function in freely moving male C57bl/6 mice: Translational relevance of decreased cadence and increased gait variability</article-title>. <source>J. Gerontol. A Biol. Sci. Med. Sci.</source> <volume>74</volume>, <fpage>1417</fpage>&#x2013;<lpage>1421</lpage>. <pub-id pub-id-type="doi">10.1093/gerona/gly242</pub-id>
</citation>
</ref>
<ref id="B82">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>van den Berg</surname>
</name>
<name>
<surname>Robert</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>HuubHoefslootSmilde</surname>
<given-names>C. J. Johan A. Westerhuis, Age K.</given-names>
</name>
<name>
<surname>van der Werf</surname>
<given-names>Mari&#xeb;t J.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>&#x27;Centering, scaling, and transformations: Improving the biological information content of metabolomics data</article-title>. <source>BMC Genomics</source> <volume>7</volume>, <fpage>142</fpage>. <pub-id pub-id-type="doi">10.1186/1471-2164-7-142</pub-id>
</citation>
</ref>
<ref id="B83">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zeng</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Liang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Zan</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Ji</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Z.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>&#x27;Integrated analysis of transcriptome-wide m(6)A methylome of osteosarcoma stem cells enriched by chemotherapy</article-title>. <source>Epigenomics</source> <volume>11</volume>, <fpage>1693</fpage>&#x2013;<lpage>1715</lpage>. <pub-id pub-id-type="doi">10.2217/epi-2019-0262</pub-id>
</citation>
</ref>
<ref id="B84">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xia</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Broadhurst</surname>
<given-names>D. I.</given-names>
</name>
<name>
<surname>Wilson</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Wishart</surname>
<given-names>D. S.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Translational biomarker discovery in clinical metabolomics: An introductory tutorial</article-title>. <source>Metabolomics</source> <volume>9</volume>, <fpage>280</fpage>&#x2013;<lpage>299</lpage>. <pub-id pub-id-type="doi">10.1007/s11306-012-0482-9</pub-id>
</citation>
</ref>
<ref id="B85">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xia</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Wishart</surname>
<given-names>D. S.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>&#x27;Using MetaboAnalyst 3.0 for comprehensive metabolomics data analysis</article-title>. <source>Curr. Protoc. Bioinforma.</source> <volume>55</volume>, <fpage>14</fpage>. <pub-id pub-id-type="doi">10.1-14.10.9110.1002/cpbi.11</pub-id>
</citation>
</ref>
<ref id="B86">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xiang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>G.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>&#x27;Increased glycolysis in skeletal muscle coordinates with adipose tissue in systemic metabolic homeostasis</article-title>. <source>J. Cell. Mol. Med.</source> <volume>25</volume>, <fpage>7840</fpage>&#x2013;<lpage>7854</lpage>. <pub-id pub-id-type="doi">10.1111/jcmm.16698</pub-id>
</citation>
</ref>
<ref id="B87">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yuan</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Hakimi</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Kao</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Kao</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Janocha</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>&#x27;Reciprocal changes in phosphoenolpyruvate carboxykinase and pyruvate kinase with age are a determinant of aging in <italic>Caenorhabditis elegans</italic>
</article-title>. <source>J. Biol. Chem.</source> <volume>291</volume>, <fpage>1307</fpage>&#x2013;<lpage>1319</lpage>. <pub-id pub-id-type="doi">10.1074/jbc.m115.691766</pub-id>
</citation>
</ref>
<ref id="B88">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Yao</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Tang</surname>
<given-names>Z.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>&#x27;Longitudinal epitranscriptome profiling reveals the crucial role of N(6)-methyladenosine methylation in porcine prenatal skeletal muscle development</article-title>. <source>J. Genet. Genomics</source> <volume>47</volume>, <fpage>466</fpage>&#x2013;<lpage>476</lpage>. <pub-id pub-id-type="doi">10.1016/j.jgg.2020.07.003</pub-id>
</citation>
</ref>
<ref id="B89">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Fang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Marshall</surname>
<given-names>M. R.</given-names>
</name>
<name>
<surname>Chung</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Regulation of obesity and metabolic complications by gamma and delta tocotrienols</article-title>. <source>Molecules</source> <volume>21</volume>, <fpage>344</fpage>. <pub-id pub-id-type="doi">10.3390/molecules21030344</pub-id>
</citation>
</ref>
<ref id="B90">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zierer</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Menni</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Kastenm&#xfc;ller</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Spector</surname>
<given-names>T. D.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>&#x27;Integration of &#x27;omics&#x27; data in aging research: From biomarkers to systems biology</article-title>. <source>Aging Cell.</source> <volume>14</volume>, <fpage>933</fpage>&#x2013;<lpage>944</lpage>. <pub-id pub-id-type="doi">10.1111/acel.12386</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>