Effects of a lifestyle intervention on the biomarkers of oxidative stress in non-communicable diseases: A systematic review

1 Introduction

Oxidative stress is involved in the pathogenesis of many chronic diseases. (Sharifi-Rad et al., 2020; McGuinness and Higgins, 2021).Oxidative stress (OS) is defined as a state in which the reactive oxygen species (ROS), override cellular antioxidants in the body (Ji and Yeo, 2021). Cells produce ROS as a controlled physiological process, but higher concentration of ROS becomes pathological and leads to oxidative stress and disease. The induction of oxidative stress is an imbalance between the production of radical species and the antioxidant defense systems, which can cause damage to cellular biomolecules, including lipids, proteins, and DNA (Lü et al., 2010; Ghosh and Shcherbik, 2020; Juan et al., 2021). This review examines the role of lifestyle intervention on specific oxidative stress biomarkers; superoxide dismutase, SOD; glutathione, GSH; catalase enzyme, CAT; and malondialdehyde, MDA in chronic diseases.

The antioxidant pathways that form the major line of defense against the OS can be categorically divided into enzymatic and non-enzymatic systems (Sackesen et al., 2008; National Cancer Institute, 2023). Antioxidants are chemicals that prevent the formation of free radicals, interact, and neutralize them, thus preventing them from causing damage, they are also known as “free radical scavengers” (Ziad et al., 2020). Based on their response to general free radical invasion, they can be categorized into first, second, third and even fourth line defense, such as superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), ascorbic acid, uric acid, Vitamin E and glutathione (GSH) (Sackesen et al., 2008; Volkova et al., 2012; Mao et al., 2019). Lipid peroxidation LPO is the metabolic process in which reactive oxygen species (ROS) result in the oxidative deterioration of lipids. It is a well-established mechanism of cellular injury (Ayala et al., 2014; Ramana et al., 2014).

SOD and CAT act to suppress or prevent the formation of free radicals or reactive species in cells. They are very fast in neutralizing any molecule with the potential of developing into a free radical or any free radical with the ability to induce the production of other radicals (Zhang et al., 2017; Younus, 2018). GSH is often referred to as scavenging antioxidant. GSH scavenges active radicals to inhibit chain initiation and break chain propagation reactions (Haenen and Bast, 2014). DNA repair enzyme systems (polymerases, glycosylases, and nucleases), proteolytic enzymes (proteinases, proteases, and peptidases) only come into play after free radical damage has occurred. They are de novo enzymes which repair the damage caused by free radicals to biomolecules and reconstitute the damaged cell membrane. They are a group of enzymes for repair of damaged DNA, protein, and lipids. They also do a sort of “clean up duty”, they recognize, breakdown and remove oxidized or damaged proteins, DNA and lipids, to prevent their accumulation which can be toxic to body tissues (Ighodaro and Akinloye, 2018). Malondialdehyde (MDA) is a stable end product of lipid peroxidation and therefore can be used as an indirect measure of the cumulative lipid peroxidation (Mao et al., 2019).

If the balance between free radicals and antioxidant levels is disturbed, the resulting oxidative stress is considered a crucial step in the onset and development of pathophysiological changes associated with a variety of inflammatory and non-communicable diseases (NCDs) like; aging, obesity, type 2 diabetes, cardiovascular disease, neurodegenerative diseases, and some types of cancer (Sharifi-Rad et al., 2020; Kelli et al., 2017; Korac et al., 2021; Den et al., 2020; Yilmaz et al., 2020). NCDs are the leading cause of morbidity and mortality worldwide. They are diseases of generally slow progression with clinical symptoms only becoming apparent after considerable cellular damage has occurred in the target tissue, (Seyedsadjadi and Grant, 2020).

In 2021, 71% of deaths, or 41 million, were due to NCD, prevention of NCDs is a global challenge assigned a high priority by the World Health Organization (World Health Organization, 2013; World Health Organization, 2022). NCDs are a result of a combination of various genetic, environmental, and especially lifestyle factors, including smoking, alcohol abuse, unhealthy diets, and physical inactivity (Gbadamosi and Tlou, 2020; Glass, 2021).

Several studies show that timely, well-designed lifestyle interventions, can prevent, improve or delay the progression of NCDs (The Nutrition Source, 2014; Petrides et al., 2019; Gbadamosi and Tlou, 2020; Anand et al., 2022). Numerous intervention studies investigated the effect of single micronutrients or food components on oxidative stress in chronic disease patients. [19, 20]. Many systematic reviews also conclude that a long-term focused intervention is needed to determine whether a lifestyle-based intervention can help reduce oxidative stress (Poljsak, 2011; Liguori et al., 2018; Jiang et al., 2021). A recently published systematic review examined the association of dietary patterns with the biomarkers that characterize oxidative stress. The review included twenty-nine studies, including sixteen observational studies and thirteen intervention studies. Dietary patterns included the Mediterranean diet, the DASH diet, vegetarian and vegan diets, the Daniel Fast diet, the Paleo diet, and a Western diet/fast food diet. The review also found that a plant-based diet resulted in a decrease in several biomarkers characterizing oxidative stress (Aleksandrova et al., 2021).

However, these often show controversial results due to the unstable nature of the oxidative stress biomarkers and the lack of standardized oxidative stress profile analysis (Block et al., 2008; Frijhoff et al., 2015; Ragheb et al., 2020). For this reason, studies with SOD, GSH, CAT, and MDA as biomarkers of OS, focusing on holistic lifestyle interventions (physical, mental, and nutritional) were included in this review.

2 Materials and methods

2.1 Research question

The research question was: What is the effect of lifestyle interventions on oxidative stress parameters in adults with non-communicable diseases (NCDs)?

2.2 Literature searches

The systematic review was guided by the requirements of the Preferred Reporting of Systematic Reviews and Meta-Analyses (PRISMA) statement (Page et al., 2021). The literature search was conducted in the PubMed and Web of Science electronic databases from 08/30/2021 to 11/30/2021. The search was limited to publications from the last 10 years (2012–2021), as the aim was to present the current state of research. Only English-language publications were included. Search terms were limited to titles and abstracts and based on all possible combinations of the following keywords: oxidative stress OR “redox” AND “lifestyle intervention” OR “lifestyle medicine” AND “lifestyle disease” OR “cardiovascular disease” OR “cancer” OR “Alzheimer disease” OR “Parkinson’s disease” OR “diabetes” OR “obesity” OR “metabolic syndrome” OR “non-communicable diseases”.

2.3 Eligibility criteria

Studies that examined the effects of lifestyle interventions on changes in oxidative stress biomarkers were included in the systematic review. The inclusion criteria were:

• Articles that measured at least one of the following oxidative stress parameters: GSH, SOD, CAT, and lipid peroxidation (MDA).

• Study participants were required to undergo a lifestyle-based intervention for cardiovascular disease, DMT2, obesity, neurodegenerative disease (Alzheimer’s or Parkinson’s), metabolic syndrome, or cancer.

• Observational studies (cross-sectional, longitudinal, case-control, or cohort studies) and intervention studies (non-randomized and randomized control trials).

• Intervention duration of at least 6 weeks.

The exclusion criteria were:

• Studies that were not conducted in adult participants (<18 years of age).

• No original research (e.g., review articles, editorials).

• Studies who’s full text was not published in English

• Surgical intervention trials.

• Synthetic supplementation.

• Drug studies.

• Animal studies.

2.4 Selection of studies

Eligible studies were interventional and observational studies conducted in humans that measured SOD, GSH, CAT, and MDA as markers of oxidative stress. Identified articles were screened for eligibility based on the title and abstract, and duplicates were removed. Two authors (Sarah Husain and Katharina Hillmann) were responsible for retrieving selected articles from four databases and applying inclusion and exclusion criteria to determine eligible studies. If the article was deemed relevant based on the title and abstract, the full text was read and subjected to a second assessment for suitability. Reference lists of included full-text articles and other reviews were reviewed to identify other potentially suitable articles.

2.5 Data extraction

A data extraction form was created in Microsoft Word. Regardless of study design, the following information was extracted from the studies: Author, publication year and country, study design, characteristics of participants, details of intervention and control groups, duration of intervention, outcome parameters, and results. Response categories were equipped for open-ended responses. In addition, data on analytical methods and biomarker sample types were collected for each of the selected studies.

2.6 Assessment of the risk of bias in the included studies

The risk of bias in the randomized trials was assessed using the Revised Cochrane Risk of Bias Tool for randomized trials (ROB2) (Sterne et al., 2019). Non-randomized studies were assessed separately using the Risk of Bias in Non-randomized Studies - of Intervention (ROBINS-I) assessment tool (Sterne et al., 2016). Two authors (Sarah Husain and Katharina Hillmann) independently assessed the risk of bias. The risk of bias was presented using the ROBONS visualization tool (Moylan and Reid, 2007).

3 Results

The selection process and the number of articles identified at each step are shown in Figure 1. Six hundred and seventy-one (671) were retrieved in the initial database search. Twenty-two (Yilmaz et al., 2020) duplicates were removed. During the initial review of the title and abstract, six hundred and seven (607) titles were excluded. Subsequently, the full texts of forty-two (Luisi et al., 2019) selected articles were reviewed in detail. After the review, an additional thirty-eight (Page et al., 2021) articles were excluded due to eligibility criteria. Therefore, four (Juan et al., 2021) articles were included in this review. In addition, another five (Lü et al., 2010) studies were found by manually searching the reference lists of included studies and matching review articles. Thus, a total of nine articles were included in this systematic review (Figure 1).

FIGURE 1

FIGURE 1. Flowchart of study selection, including identification, review, eligibility, and inclusion of studies (World Health Organization, 2013).

*Reasons for exclusion: Irrelevance (n = 165), inappropriate study design (e.g., reviews) (n = 375), inappropriate study population (animals, children) (n = 42), supplements and medications (n = 23), no full text (n = 2).

** Reasons for exclusion: no measurements of oxidative stress biomarkers (n = 28); supplements, medications, and individual foods (n = 8); study protocol only (n = 2).

3.1 Characteristics of the included studies

A total of six RCTs (Block et al., 2008; Poljsak, 2011; Liguori et al., 2018; Ragheb et al., 2020; Aleksandrova et al., 2021; Jiang et al., 2021; Anand et al., 2022), one non-randomized intervention study (Luisi et al., 2019), one quasi-experimental intervention study (Ramezanipour et al., 2014), and a prospective longitudinal study (Mirmiran et al., 2018) were included in the systematic review that examined the association between a lifestyle intervention and changes in biomarker concentrations. Study sample sizes varied from 27 to 260 participants for interventional studies (McGeoch et al., 2013; Yadav et al., 2019) and 400 participants for the observational study (Mirmiran et al., 2018). Participants in the intervention studies were between 19 and 80 years old (Ramezanipour et al., 2014; Sureda et al., 2016) and those in the observational study were between 20 and 60 years old (Mirmiran et al., 2018). In one study, only women were included (Ramezanipour et al., 2014). Intervention duration ranged from 8 weeks to 5 years (Sureda et al., 2016; Jaacks et al., 2018). The intervention studies and observational studies were conducted on participants with pre-existing conditions, including metabolic syndrome (Sterne et al., 2019; Ragheb et al., 2020; Aleksandrova et al., 2021; Anand et al., 2022), DMT2 (McGeoch et al., 2013; Dong et al., 2019), and overweight or obesity (Ramezanipour et al., 2014; Jaacks et al., 2018; Luisi et al., 2019). None of the included studies examined changes in oxidative biomarkers in subjects with cardiovascular disease, cancer, or neurodegenerative diseases such as Parkinson’s and Alzheimer’s disease (Table 1; Table 2).

TABLE 1

TABLE 1. Summary of intervention studies on the relationship between lifestyle intervention and oxidative stress biomarkers.

TABLE 2

TABLE 2. Summary of observational studies on the relationship between lifestyle intervention and oxidative stress biomarkers.

3.2 Lifestyle interventions

The included studies examined heterogeneous lifestyle interventions. Four interventions were based on dietary interventions, with social support and regular encouragement through knowledge-based advice. Out of these four, three studies examined the Mediterranean diet, with additional consideration of specific foods (Sureda et al., 2016; Jaacks et al., 2018; Luisi et al., 2019). Another dietary intervention was a weight loss diet (Ramezanipour et al., 2014; Mirmiran et al., 2018). The observational study compared a healthy dietary pattern (whole-food plant-based diet) with an unhealthy dietary pattern (more meat and refined food) (Mirmiran et al., 2018). One study supplemented the dietary intervention with 30 min of daily physical activity (Bekkouche et al., 2014) and one with lifestyle recommendations (McGeoch et al., 2013). One study implemented intensive lifestyle modification by providing nutrition and diabetes education, setting dietary and exercise goals, and encouraging participants over a twice-weekly phone call (Dong et al., 2019). Another study also conducted intensive lifestyle modification supplemented with stress management and relaxation. An individualized diet plan was created for each participant, yoga was performed as a physical activity and supplemented with relaxation exercises (Shavasana), education about stress management was provided, and participants also received monthly supervision (Yadav et al., 2019).

In half (n = 4) of the intervention studies, the control groups also received dietary recommendations (Sureda et al., 2016; Dong et al., 2019; Luisi et al., 2019; Yadav et al., 2019). In the other half, the control groups received no intervention and followed their usual diet (McGeoch et al., 2013; Bekkouche et al., 2014; Ramezanipour et al., 2014; Jaacks et al., 2018). In the observational study, the control group followed an unhealthy dietary pattern (Mirmiran et al., 2018). Two intervention studies had healthy, normal-weight individuals as the control group (Bekkouche et al., 2014; Luisi et al., 2019). In contrast, the other studies had the same inclusion criteria for both the intervention group and the control group.

3.3 Biomarkers

3.3.1 Oxidative stress

Blood levels of enzymatic and non-enzymatic antioxidants were reported in both the group’s intervention and control, in a total of six articles (Bekkouche et al., 2014; Ramezanipour et al., 2014; Sureda et al., 2016; Jaacks et al., 2018; Dong et al., 2019; Yadav et al., 2019). In one article, GSH activity was measured in reduced form. GSH activity in plasma was measured using high-performance liquid chromatography with fluorescence detection (Jaacks et al., 2018).

Three articles reported on CAT activity. Bekkouche et al. measured CAT activity in plasma, erythrocytes, and platelets (Bekkouche et al., 2014). Ramezanipour et al. examined CAT activity in erythrocytes and Sureda et al. in plasma and total blood (Ramezanipour et al., 2014; Sureda et al., 2016). All three studies used the method designed by Aebi. In this method, CAT activity is measured spectrophotometrically at 240 nm based on the decomposition of hydrogen peroxide in phosphate buffer (Aebi, 2022).

SOD activity was investigated in five articles. The authors used different measurement methods in all five studies. Bekkouche et al. measured SOD activity in plasma, erythrocytes, and platelets by the NADH oxidation method (Fluka/Sigma-Aldrich, Buchs, Switzerland) (Bekkouche et al., 2014). Serum SOD activity was determined by Dong et al. using the SOD assay kit-WST (Dojindo Molecular Technologies, Gaithersburg, MD, United States) (Dong et al., 2019). Ramezanipour et al. measured SOD enzyme activity using the Ransod kit method (cat. No. SD 125, Randox-Ransod, United Kingdom). In this method, SOD activity was determined by measuring the dismutation of superoxide radicals generated by xanthine oxidase and hypoxanthine. The sample type was not specified (Ramezanipour et al., 2014). Sureda et al. determined SOD activity in plasma and total blood by the method of McCord and Fridovich. SOD protein levels were determined by Western blot. Plasma samples were analyzed by SDS-PAGE (Bio-Rad Laboratories, Hercules CA, United States) (Sureda et al., 2016). Yadav et al. determined SOD activity in plasma using a commercially available kit (Cayman Chemical, Ann Arbor, MI, United States) (Yadav et al., 2019).

Lipid peroxidation (LPO) has been investigated in four studies. In the study by Luisi et al., the measurement of LPO in plasma samples was based on the reaction of MDA, the end-product of the process, with 2-thiobarbituric acid (TBA) to form a chromophore that absorbs at 532 nm. Values were expressed in nanomoles of TBA-reactive substances (TBARS) (MDA equivalent) and determined by the Bradford method using an albumin standard curve (Luisi et al., 2019). McGeoch et al. determined MDA from plasma collected in EDTA tubes (Oxi-Select TBARS Assay Kit; Cell Biolabs Inc.) spectrophotometrically after extraction with n-butanol (McGeoch et al., 2013). Mirmiran et al. used the LPO Assay Kit (Abcam, Cambridge, CA, United States) to measure MDA concentration (Mirmiran et al., 2018). Dong et al. did not describe a method for measuring MDA in their publication (Dong et al., 2019).

3.4 Effects of lifestyle interventions on oxidative biomarkers

In no study, the oxidative stress biomarkers worsened by lifestyle intervention. Either they improved (increased SOD, GSH, CAT, and decreased MDA) or remained unchanged. It should be noted that the respective studies examined a maximum of two of the included biomarkers (Table 3).

TABLE 3

TABLE 3. Overview of changes in oxidative biomarkers in subjects depending on lifestyle intervention reported in intervention and observational studies.

In three out of four intervention studies, dietary change was associated with significant improvement in oxidative stress biomarkers compared to control or baseline levels. Significant increases were found for SOD (p < 0.05) and CAT (p < 0.05), reflecting lower oxidative stress (Ramezanipour et al., 2014; Sureda et al., 2016). MDA was reduced (p < 0.01), implying lower lipid peroxidation (Luisi et al., 2019). Jaacks et al. who examined GSH in the context of lifestyle intervention did not detect a significant increase in the parameter (p > 0.05) (Jaacks et al., 2018). Ramezanipour et al. found a positive difference only for CAT, but not for SOD (Ramezanipour et al., 2014).

In the observational study, following a healthy dietary pattern compared to an unhealthy diet was associated with a significant reduction in MDA (Mirmiran et al., 2018).

When the dietary intervention was combined with physical activity, CAT was increased by 27.7% and SOD by 77.7% in platelets compared with baseline (Bekkouche et al., 2014). Nutritional intervention with lifestyle recommendations failed to achieve a significant result in the MDA (LPO) parameter (p = 0.264) (McGeoch et al., 2013). In contrast, intensive lifestyle intervention was associated with a significant increase in SOD (p < 0.05) and a significant reduction in MDA (p < 0.01) (Dong et al., 2019). Contradictory results were shown by Yadav et al., who found no significant increase in the parameter SOD (p = 0.238) with an intensive lifestyle intervention supplemented with stress management and relaxation (Yadav et al., 2019).

3.5 Relationship between NCDs and oxidative biomarkers

Lifestyle modification reduced oxidative stress in all included NCDs. Each study examined only one of the NCDs.

The majority of included studies examined oxidative stress in subjects with metabolic syndrome (n = 4). Three out of four studies found that lifestyle modification improved antioxidant protection in the form of an increase in SOD and CAT activity, and reduced oxidative stress, expressed by lower levels of MDA (Bekkouche et al., 2014; Sureda et al., 2016; Mirmiran et al., 2018). Only one article failed to find an improvement in antioxidant protection in metabolic syndrome (Yadav et al., 2019).

Three intervention studies examined oxidative stress parameters in overweight and obesity. Ramezanipour et al. found increased activity of CAT but not SOD (Ramezanipour et al., 2014). Luisi et al. reported lower lipid peroxidation in overweight and obese subjects compared to the normal weight control group (Luisi et al., 2019). The GSH parameter remained unchanged (Jaacks et al., 2018).

Two intervention studies investigated oxidative stress biomarkers in DMT2, of which only one study could present significant results. Dong et al. observed both an improvement in SOD activity and a reduction in MDA levels (Dong et al., 2019). In contrast, lifestyle intervention was not associated with lower levels of MDA in the McGeoch et al. study (McGeoch et al., 2013). No studies were found with subjects affected by cardiovascular disease, cancer, and neurodegenerative diseases.

3.6 Risk of bias of the included studies

Overall, the risk of bias was low in two studies, somewhat concerning in three, and high in four. Five studies did not describe the randomization process. Deviations from the planned intervention also occurred in five studies. One study had a dropout rate of 43% (Bekkouche et al., 2014) and was classified as having a high risk of bias due to missing outcome data. The domains “bias in the measurement of the outcome” and “bias in the selection of the reported outcome” had 100% negligible risk among the studies assessed (Figure 2).

FIGURE 2

FIGURE 2. Distribution of assessments of the risk of distortion of RCTs within each bias range (modified according to McGuinnes and Higgins (2020) (Wiley Online Library, 2022b).

4 Discussion

This systematic review shows the positive effects of lifestyle interventions on biomarkers of oxidative stress in NCDs. Six of nine studies (Bekkouche et al., 2014; Ramezanipour et al., 2014; Sureda et al., 2016; Jaacks et al., 2018; Mirmiran et al., 2018; Dong et al., 2019; Luisi et al., 2019) reported increased activity of antioxidants SOD and CAT or decreased lipid peroxidation measured as MDA. A recently published systematic review that summarized the results from 29 studies among which 16 were observational and 13 were interventional studies concluded that a plant-based diet improved several biomarkers of oxidative stress (Aleksandrova et al., 2021).

In addition, improvement in oxidative stress was found in all NCDs studied (metabolic syndrome, overweight and obesity, and DMT2). According to current research, this work is the first systematic review summarizing the effects of different lifestyle interventions on biomarkers of oxidative stress in the context of NCDs.

4.1 Lifestyle interventions

The included studies examined lifestyle interventions using natural foods without synthetic supplements. Dietary changes in the studies were often based on plant-based foods (though with high consumption of fruits, vegetables, legumes, whole grains, nuts, and olive oil) (Bekkouche et al., 2014; Sureda et al., 2016; Luisi et al., 2019). High consumption of fruits and vegetables and whole grains, with increased intake of dietary fiber, is associated with a lower risk of cardiovascular disease, breast cancer, DMT2, cancer, and cardiovascular disease mortality (Partula et al., 2020). The components in fruits and vegetables appear to reduce oxidative stress. Diet rich in fruits and vegetables appears to reduce oxidative stress as they are rich in bioactive phytochemicals. Phytochemicals can be literally referred to as ‘plant-chemicals.’ They are the non-nutritive chemical components of plants that possess numerous health benefits and disease prevention properties (Freese et al., 2002; Dragsted et al., 2004; Nwozo et al., 2023). Oral supplementation with non-enzymatic antioxidants such as GSH has not been successful due to the poor bioavailability of GSH (Allen and Bradley, 2011). No robust data was found for enzymatic antioxidant supplementation and its effect on systemic oxidative stress or lifestyle diseases. The results from the studies indicate that dietary changes through foods high in antioxidants, such as fruits and vegetables can improve our oxidative stress status with or without supplementation. The health benefits of fruits, vegetables, whole grains, and other plant foods cannot be achieved or mimicked by dietary supplements in the form of tables or pills without fully upstanding the balanced natural combination and profiles of phytochemicals present in fruits, vegetables, and whole grain (Liu, 2013; Samtiya et al., 2021).

Another explanation for the reduction of oxidative stress by lifestyle intervention is that weight loss reduces oxidative stress (Himbert et al., 2017). Some of the different lifestyle interventions resulted in weight reduction in study participants (Bekkouche et al., 2014; Ramezanipour et al., 2014; Dong et al., 2019; Luisi et al., 2019). Except for Yadav et al. (Yadav et al., 2019), these studies resulted in an improvement in oxidative stress. These results are consistent with previous studies (Rector et al., 2007; Moreto et al., 2015).

4.2 Oxidative stress parameters

SOD levels are not affected by lifestyle interventions in NCDs patients. The statistical non-significance of the improvement in SOD levels between the intervention group and the control group can be explained by the fact that at the beginning of the study, the two groups had a strong difference in SOD levels (p = 0.071). In the 36–45 age group, the YBLI showed a significantly greater increase in SOD levels after 12 weeks compared to the control group (p-value not shown). This was not shown in the 20–35-year-old group. When the age groups were considered together, no significant results were shown (Yadav et al., 2019). This suggests that age plays a vital role in oxidative stress. The participants were too young to show the effects of oxidative stress and therefore no improvement in antioxidant enzymes associated with lifestyle change could be detected. One reason why SOD remained unchanged in the study by Ramezanipour et al. may be that a 10% weight reduction in obese individuals was not sufficient to increase SOD levels (Ramezanipour et al., 2014). Another reason could be the methodology used to study SOD levels. Since there is no gold standard, different methods and sample types have been used to measure SOD activity.

Interestingly, the studies uniformly showed a significant increase in CAT levels in subjects who performed lifestyle intervention (Bekkouche et al., 2014; Ramezanipour et al., 2014; Sureda et al., 2016). Since all studies used the same measurement method according to Aebi et al. (Aebi, 2022), CAT values are comparable from the different studies apart from the different sampling procedures.

The only study that measured GSH levels reported no changes in GSH after lifestyle intervention (Jaacks et al., 2018). GSH is an important intracellular non-protein thiol whose concentration is strongly affected by hemodialysis of plasma and serum samples as well as by storage time (Giustarini et al., 2004; Aquilano et al., 2014; Giustarini and Colombo, 2022).

This review demonstrated negative associations between lifestyle intervention and lipid peroxidation in both intervention and observational studies. A plausible mechanism for this could be that the dietary changes and healthy eating patterns implemented in the studies were high in omega-3 fatty acids. Studies show that omega-3 fatty acids decrease lipid peroxidation (Akrami et al., 2018; Heshmati et al., 2019). In addition, changes in MDA levels appear to be influenced by changes in glucose levels. This may be explained by the fact that hyperglycemia-induced stress leads to the production of advanced glycation end products (AGEs). AGEs are formed by glycation and are associated with an increase in oxidative stress since they mediate the production of reactive oxygen species (ROS). The interaction of AGEs with the receptor for AGEs (RAGE) enhances oxidative stress through ROS production by NADPH oxidases inside the mitochondria (Schmidt et al., 1994; Goldin et al., 2006; Cepas et al., 2020). Therefore, control of glucose metabolism is effective in reducing glycation processes. Due to the formation of AGEs, hyperglycemia, and insulin resistance predispose to the occurrence of oxidative stress. Exercise training activates molecular mechanisms that improve insulin sensitivity and glucose tolerance in peripheral tissues. Consequently, this reduces cellular glucotoxicity and exposure to lipid peroxidation (Moreto et al., 2015).

In addition to the differences in intervention, analytical methods, and biological sample types described above, there are other reasons why studies demonstrated different changes or no improvement in oxidative stress after lifestyle intervention. First, the duration of a few weeks might not be sufficient to reach statistical significance. A systematic review also concludes that a longer-term intervention is needed to determine whether a diet-based intervention can help reduce oxidative stress (Nwozo et al., 2023). Secondly, the number of participants in each study may not have been large enough to achieve statistically significant power. Three of the four studies that found no or only partial changes in oxidative stress parameters had small sample sizes of 27–30 participants (McGeoch et al., 2013; Ramezanipour et al., 2014; Jaacks et al., 2018). In addition, the control groups of the intervention studies are heterogeneous. On one hand, participants in the control group did not receive any intervention in four intervention studies (Poljsak, 2011; Liguori et al., 2018; Page et al., 2021; Anand et al., 2022) and on the other hand, the control group in four other intervention studies performed a similar intervention (Sureda et al., 2016; Dong et al., 2019; Luisi et al., 2019; Yadav et al., 2019). Additionally, the inclusion criteria were either same for all the participants or for the participants of the control group who did not have a disease. For example, in the study by Bekkouche et al.; participants in the control group showed significantly higher levels of oxidative stress markers SOD and CAT (p < 0.005) and the intervention group showed a significantly lower levels of clinical markers (p < 0.005) as compared to baseline (Bekkouche et al., 2014).

None of the studies measured the overall oxidative stress profile or the combination of these four parameters (SOD, CAT, GSH, MDA). Four of the nine studies examined a maximum of two of the included oxidative stress biomarkers (Aleksandrova et al., 2021; Jiang et al., 2021; Page et al., 2021; Anand et al., 2022). The remaining five studies analyzed only one relevant oxidative stress biomarker (McGeoch et al., 2013; Jaacks et al., 2018; Mirmiran et al., 2018; Luisi et al., 2019; Yadav et al., 2019). Due to this, it is not possible to draw reliable conclusions about the effect of lifestyle intervention on biomarkers of oxidative stress in subjects with NCDs. It is important to determine not only the effect of a lifestyle change on a specific antioxidant but to examine a profile of oxidative stress biomarkers, otherwise, the oxidative status of an individual cannot be assessed accurately (Kochlik et al., 2017).

No other systematic review or meta-analyses examining the effects of lifestyle changes on oxidative stress were found. However, two similar systematic reviews were identified. Both studies also excluded dietary supplements, tablets, and powders and were based on whole-food components. However, these specialized in the effects of diet or dietary patterns rather than overall lifestyle changes. Furthermore, these did not focus on specific oxidation-related biomarkers and included both healthy and diseased participants (Vetrani et al., 2013; Aleksandrova et al., 2021).

A recently published systematic review examined the association of dietary patterns with the biomarkers of oxidative stress. This systematic review included twenty-nine studies, including sixteen observational studies and thirteen intervention studies. Dietary patterns included the Mediterranean diet, the DASH diet, vegetarian and vegan diets, the Daniel Fast diet, the Paleo diet, and a Western diet/fast food. The review found that a plant-based diet improved several biomarkers of oxidative stress (Aleksandrova et al., 2021).

One further systematic review examined whether the diet and its components can alter oxidative stress in vivo. For this purpose, nine observational studies and forty-nine intervention studies were analyzed. The review found that the consumption of low caloric diet rich in fruits and vegetables positively affect oxidative biomarkers, as the preventive effects of plant products have been largely allocated to their high content of various phytochemicals such as flavonoids, betalains and carotenoids and the overall high antioxidant capacity (Freese et al., 2002; Di Gioia et al., 2020). In contrast, saturated fatty acids and alcoholic beverages worsen oxidative status (Vetrani et al., 2013).

4.3 Strengths and limitations of the systematic review

Strengths of this systematic review include the use of a standardized method for conducting a systematic literature search (PRISMA), which was conducted independently by two researchers. The study focused on a variety of lifestyle interventions including the holistic nature of lifestyle change. In contrast, the selection of biomarkers was defined in advance to increase the comparability of the studies and to be able to present an overall profile of oxidative stress. Only diseases of major importance in terms of lifestyle were included. The review includes published studies from the last 10 years, allowing latest trends in research to be presented.

Limitations of the systematic review should also be considered. The specificity of the biomarkers is not only beneficial but also has the disadvantage that many studies had to be excluded that investigated other biomarkers for oxidative-stress might have provided important insights. Assessment of individual oxidative stress biomarkers may not be representative of the overall magnitude of oxidative stress. However, no study assessed a combination of multiple oxidative stress biomarkers as endpoints in their analyses, so the overall profile could not be assessed in the systematic review. Overall, the quality of the intervention studies is also low to moderate, allowing for some potential biases. In addition, no assessment tool for bias was applied to the observational study, as no specific assessment tool is available for observational studies according to the Cochrane Collaboration (Sterne et al., 2016; Sterne et al., 2019). Most studies had short study durations and small study populations, so the power of the studies is low.

4.4 Implications for future research

Many studies that explored the effects of lifestyle changes on lifestyle-based diseases have already been published. Future studies should also include the oxidative stress components because current research suggests that oxidative stress plays a significant role in the pathogenesis of lifestyle-based diseases. Furthermore, a gold standard for oxidative stress analysis should be established e.g., a complete oxidative stress profile or analysis of multiple biomarkers. The study duration of most of the included studies is relatively short. Therefore, further studies with a longer intervention and follow-up period should be conducted to explore the long-term effects of lifestyle intervention. Also, larger studies with more participants should be conducted to obtain clearer results.

5 Conclusion

This systematic review provides evidence that lifestyle modifications can improve oxidative stress biomarkers and can be an effective tool for the prevention and treatment of non-communicable diseases. However, the systematic review shows that there is a lack of long-term lifestyle-based intervention studies investigating an association between lifestyle and oxidative stress in non-communicable diseases with multiple biomarkers of oxidative stress. Therefore, further studies are needed to confirm and extend these findings.

Author contributions

SH: conceptualization, methodology, validation, formal analysis, investigation, data curation, writing–original draft, writing–review and editing, visualization, project administration; KHi: conceptualization, methodology, validation, investigation, data curation, writing–review and editing, project administration; KHe: conceptualization, methodology, formal analysis, writing–original draft, writing–review and editing, supervision; HE: conceptualization, methodology, investigation, writing–original draft, writing–review and editing, project administration, supervision, funding acquisition.

Acknowledgments

This paper and the research behind it would not have been possible without the exceptional support of my supervisor, HE. Her enthusiasm, knowledge, and diligence have been an inspiration and kept my work on track from the start of this paper to the finish. I would like to show my deepest gratitude to my amazing team; Corinna Anand, Nora Schoch, Ragna Marie Kranz, and Christian Köder for their valuable feedback, patience, and support which helped me in improving this study.

Conflict of interest

The 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.

Publisher’s note

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.

References

Aebi, H. (2022). Catalase in vitro. Methods Enzymol. 105, 121–126. doi:10.1016/s0076-6879(84)05016-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Akrami, A., Nikaein, F., Babajafari, S., Faghih, S., and Yarmohammadi, H. (2018). Comparison of the effects of flaxseed oil and sunflower seed oil consumption on serum glucose, lipid profile, blood pressure, and lipid peroxidation in patients with metabolic syndrome. J. Clin. Lipidol. 12, 70–77. doi:10.1016/j.jacl.2017.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Aleksandrova, K., Koelman, L., and Rodrigues, C. E. (2021). Dietary patterns and biomarkers of oxidative stress and inflammation: A systematic review of observational and intervention studies. Redox Biol. 42, 101869. doi:10.1016/j.redox.2021.101869

PubMed Abstract | CrossRef Full Text | Google Scholar

Allen, J., and Bradley, R. D. (2011). Effects of oral glutathione supplementation on systemic oxidative stress biomarkers in human volunteers. J. Altern. complementary Med. (New York, N.Y.) 17, 827–833. doi:10.1089/acm.2010.0716

PubMed Abstract | CrossRef Full Text | Google Scholar

Anand, C., Kranz, R-M., Husain, S., Koeder, C., Schoch, N., Alzughayyar, D-K., et al. (2022). Bridging the gap between science and society: Long-term effects of the healthy lifestyle community programme (HLCP, cohort 1) on weight and the metabolic risk profile: A controlled study. BMJ Nutr. Prev. Health 5, 44–54. doi:10.1136/bmjnph-2021-000340

PubMed Abstract | CrossRef Full Text | Google Scholar

Aquilano, K., Baldelli, S., and Ciriolo, M. R. (2014). Glutathione: New roles in redox signaling for an old antioxidant. Front. Pharmacol. 5, 196. doi:10.3389/fphar.2014.00196

PubMed Abstract | CrossRef Full Text | Google Scholar

Ayala, A., Muñoz, M. F., and Argüelles, S. (2014). Lipid peroxidation: Production, metabolism, and signaling mechanisms of malondialdehyde and 4-hydroxy-2-nonenal. Oxidative Med. Cell. Longev. 2014, 360438. doi:10.1155/2014/3604382014

PubMed Abstract | CrossRef Full Text | Google Scholar

Bekkouche, L., Bouchenak, M., Malaisse, W. J., and Yahia, D. A. (2014). The Mediterranean diet adoption improves metabolic, oxidative, and inflammatory abnormalities in Algerian metabolic syndrome patients. Hormone metabolic Res. = Hormon- und Stoffwechselforschung = Hormones metabolisme 46, 274–282. doi:10.1055/s-0033-1363657

PubMed Abstract | CrossRef Full Text | Google Scholar

Block, G., Jensen, C. D., Morrow, J. D., Holland, N., Norkus, E. P., Milne, G. L., et al. (2008). The effect of vitamins C and E on biomarkers of oxidative stress depends on baseline level. Free Radic. Biol. Med. 45, 377–384. doi:10.1016/j.freeradbiomed.2008.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Cepas, V., Collino, M., Mayo, J. C., and Sainz, R. M. (2020). Redox signaling and advanced glycation endproducts (AGEs) in diet-related diseases. Antioxidants 9, 142. doi:10.3390/antiox9020142

PubMed Abstract | CrossRef Full Text | Google Scholar

Den, H., Dong, X., Chen, M., and Zou, Z. (2020). Efficacy of probiotics on cognition, and biomarkers of inflammation and oxidative stress in adults with Alzheimer's disease or mild cognitive impairment - a meta-analysis of randomized controlled trials. Aging (Albany NY) 12, 4010–4039. doi:10.18632/aging.102810

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Gioia, F., Tzortzakis, N., Rouphael, Y., Kyriacou, M. C., Sampaio, S. L., Ferreira, I. C., et al. (2020). Grown to be blue-antioxidant properties and health effects of colored vegetables. Part II: Leafy, fruit, and other vegetables. Antioxidants 9, 97. doi:10.3390/antiox9020097

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, L., Li, J., Lian, Y., Tang, Z-X., Zen, Z., Yu, P., et al. (2019). Long-term intensive lifestyle intervention promotes improvement of stage III diabetic nephropathy. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 25, 3061–3068. doi:10.12659/MSM.913512

CrossRef Full Text | Google Scholar

Dragsted, L. O., Pedersen, A., Hermetter, A., Basu, S., Hansen, M., Haren, G. R., et al. (2004). The 6-a-day study: Effects of fruit and vegetables on markers of oxidative stress and antioxidative defense in healthy nonsmokers. Am. J. Clin. Nutr. 79, 1060–1072. doi:10.1093/ajcn/79.6.1060

PubMed Abstract | CrossRef Full Text | Google Scholar

Freese, R., Alfthan, G., Jauhiainen, M., Basu, S., Erlund, I., Salminen, I., et al. (2002). High intakes of vegetables, berries, and apples combined with a high intake of linoleic or oleic acid only slightly affect markers of lipid peroxidation and lipoprotein metabolism in healthy subjects. Am. J. Clin. Nutr. 76, 950–960. doi:10.1093/ajcn/76.5.950

PubMed Abstract | CrossRef Full Text | Google Scholar

Frijhoff, J., Winyard, P. G., Zarkovic, N., Davies, S. S., Stocker, R., Cheng, D., et al. (2015). Clinical relevance of biomarkers of oxidative stress. Antioxidants Redox Signal. 23, 1144–1170. doi:10.1089/ars.2015.6317

CrossRef Full Text | Google Scholar

Sharifi-Rad, M., Anil Kumar, N. V., Zucca, P., Varoni, E. M., Dini, L., Panzarini, E., et al. (2020). Lifestyle, Oxidative Stress, and Antioxidants: Back and Forth in the Pathophysiology of Chronic Diseases. Front. Physiol. 11, 694. doi:10.3389/fphys.2020.00694

PubMed Abstract | CrossRef Full Text | Google Scholar

Gbadamosi, M. A., and Tlou, B. (2020). Modifiable risk factors associated with non-communicable diseases among adult outpatients in manzini, Swaziland: A cross-sectional study. BMC Public Health 20, 665. doi:10.1186/s12889-020-08816-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Ghosh, A., and Shcherbik, N. (2020). Effects of oxidative stress on protein translation: Implications for cardiovascular diseases. Int. J. Mol. Sci. 21, 2661. doi:10.3390/ijms21082661

PubMed Abstract | CrossRef Full Text | Google Scholar

Giustarini, D., Dalle-Donne, I., Colombo, R., Milzani, A., and Rossi, R. (2004). Interference of plasmatic reduced glutathione and hemolysis on glutathione disulfide levels in human blood. Free Radic. Res. 38, 1101–1106. doi:10.1080/10715760400008854

PubMed Abstract | CrossRef Full Text | Google Scholar

Giustarini, D., Dalle-Donne, I., Colombo, R., Milzani, A., and Rossi, R. (2003). An improved HPLC measurement for GSH and GSSG in human blood. Free Radical Biology and Medicine 35, 1365–1372. doi:10.1016/j.freeradbiomed.2003.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Glass, D. R. (2021). Lifestyle medicine: A positive approach to stemming the tide of non-communicable diseases in south Africa. S Afr. Fam. Pract. 63, e1–e4. doi:10.4102/safp.v63i1.53942004

CrossRef Full Text | Google Scholar

Goldin, A., Beckman, J. A., Schmidt, A. M., and Creager, M. A. (2006). Advanced glycation end products: Sparking the development of diabetic vascular injury. Circulation 114, 597–605. doi:10.1161/CIRCULATIONAHA.106.621854

PubMed Abstract | CrossRef Full Text | Google Scholar

Haenen, G. R., and Bast, A. (2014). Glutathione revisited: A better scavenger than previously thought. Front. Pharmacol. 5, 260. doi:10.3389/fphar.2014.00260

PubMed Abstract | CrossRef Full Text | Google Scholar

Heshmati, J., Morvaridzadeh, M., Maroufizadeh, S., Akbari, A., Yavari, M., Amirinejad, A., et al. (2019). Omega-3 fatty acids supplementation and oxidative stress parameters: A systematic review and meta-analysis of clinical trials. Pharmacol. Res. 149, 104462. doi:10.1016/j.phrs.2019.104462

PubMed Abstract | CrossRef Full Text | Google Scholar

Himbert, C., Thompson, H., and Ulrich, C. M. (2017). Effects of intentional weight loss on markers of oxidative stress, DNA repair and telomere length - a systematic review. OFA 10, 648–665. doi:10.1159/000479972

CrossRef Full Text | Google Scholar

Ighodaro, O. M., and Akinloye, O. A. (2018). First line defence antioxidants-superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX): Their fundamental role in the entire antioxidant defence grid. Alexandria J. Med. 54, 287–293. doi:10.1016/j.ajme.2017.09.001

CrossRef Full Text | Google Scholar

Jaacks, L. M., Sher, S., Staercke, C. de, Porkert, M., Alexander, W. R., Jones, D. P., et al. (2018). Pilot randomized controlled trial of a Mediterranean diet or diet supplemented with fish oil, walnuts, and grape juice in overweight or obese US adults. BMC Nutr. 4, 26. doi:10.1186/s40795-018-0234-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Ji, L. L., and Yeo, D. (2021). Oxidative stress: An evolving definition. Fac. Rev. 10, 13. doi:10.12703/r/10-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, S., Liu, H., and Li, C. (2021). Dietary regulation of oxidative stress in chronic metabolic diseases. Foods 10, 1854. doi:10.3390/foods10081854

PubMed Abstract | CrossRef Full Text | Google Scholar

Juan, C. A., La Pérez de Lastra, J. M., Plou, F. J., and Pérez-Lebeña, E. (2021). The chemistry of reactive oxygen species (ROS) revisited: Outlining their role in biological macromolecules (DNA, lipids and proteins) and induced pathologies. Int. J. Mol. Sci. 22, 4642. doi:10.3390/ijms22094642

PubMed Abstract | CrossRef Full Text | Google Scholar

Kelli, H. M., Hammadah, M., Ahmed, H., Ko, Y-A., Topel, M., Samman-Tahhan, A., et al. (2017). Association between living in food deserts and cardiovascular risk. Circulation. Cardiovasc. Qual. outcomes 10, e003532. doi:10.1161/CIRCOUTCOMES.116.003532

PubMed Abstract | CrossRef Full Text | Google Scholar

Kochlik, B., Grune, T., and Weber, D. (2017). New findings of oxidative stress biomarkers in nutritional research. Curr. Opin. Clin. Nutr. metabolic care 20, 349–359. doi:10.1097/MCO.0000000000000388

PubMed Abstract | CrossRef Full Text | Google Scholar

Korac, B., Kalezic, A., Pekovic-Vaughan, V., Korac, A., and Jankovic, A. (2021). Redox changes in obesity, metabolic syndrome, and diabetes. Redox Biol. 42, 101887. doi:10.1016/j.redox.2021.101887

PubMed Abstract | CrossRef Full Text | Google Scholar

Liguori, I., Russo, G., Curcio, F., Bulli, G., Aran, L., Della-Morte, D., et al. (2018). Oxidative stress, aging, and diseases. Clin. Interventions Aging 13, 757–772. doi:10.2147/CIA.S158513

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, R. H. (2013). Health-promoting components of fruits and vegetables in the diet. Adv. Nutr. 4, 384S-92S–92S. doi:10.3945/an.112.003517

PubMed Abstract | CrossRef Full Text | Google Scholar

Lü, J-M., Lin, P. H., Yao, Q., and Chen, C. (2010). Chemical and molecular mechanisms of antioxidants: Experimental approaches and model systems. J. Cell. Mol. Med. 14, 840–860. doi:10.1111/j.1582-4934.2009.00897.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Luisi, M. L., Lucarini, L., Biffi, B., Rafanelli, E., Pietramellara, G., Durante, M., et al. (2019). Effect of mediterranean diet enriched in high quality extra virgin olive oil on oxidative stress, inflammation and gut microbiota in obese and normal weight adult subjects. Front. Pharmacol. 10, 1366. doi:10.3389/fphar.2019.01366

PubMed Abstract | CrossRef Full Text | Google Scholar

Mao, C., Yuan, J-Q., Lv, Y-B., Gao, X., Yin, Z-X., Kraus, V. B., et al. (2019). Associations between superoxide dismutase, malondialdehyde and all-cause mortality in older adults: A community-based cohort study. BMC Geriatr. 19, 104. doi:10.1186/s12877-019-1109-z

PubMed Abstract | CrossRef Full Text | Google Scholar

McGeoch, S. C., Johnstone, A. M., Lobley, G. E., Adamson, J., Hickson, K., Holtrop, G., et al. (2013). A randomized crossover study to assess the effect of an oat-rich diet on glycaemic control, plasma lipids and postprandial glycaemia, inflammation and oxidative stress in Type 2 diabetes. Diabet. Med. a J. Br. Diabet. Assoc. 30, 1314–1323. doi:10.1111/dme.12228

PubMed Abstract | CrossRef Full Text | Google Scholar

Mirmiran, P., Hadavi, H., Mottaghi, A., and Azizi, F. (2018). Effect of dietary patterns on oxidative stress in Patiants with metabolic syndrome: Tehran Lipid and Glucose Study. Casp. J. Intern. Med. 9, 376–385. doi:10.22088/cjim.9.4.376

PubMed Abstract | CrossRef Full Text | Google Scholar

Moreto, F., Kano, H. T., Torezan, G. A., Oliveira, E. P. de, Manda, R. M., Teixeira, O., et al. (2015). Changes in malondialdehyde and C-reactive protein concentrations after lifestyle modification are related to different metabolic syndrome-associated pathophysiological processes. Diabetes and metabolic syndrome 9, 218–222. doi:10.1016/j.dsx.2015.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

National Cancer Institute, (2023). Antioxidants and cancer prevention. Available from: https://www.cancer.gov/about-cancer/causes-prevention/risk/diet/antioxidants-fact-sheet.[cited 2023 Feb 22].

Google Scholar

Nwozo, O. S., Effiong, E. M., Aja, P. M., and Awuchi, C. G. (2023). Antioxidant, phytochemical, and therapeutic properties of medicinal plants: A review. Int. J. Food Prop. 26, 359–388. doi:10.1080/10942912.2022.2157425

CrossRef Full Text | Google Scholar

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 372, n71. doi:10.1136/bmj.n71

PubMed Abstract | CrossRef Full Text | Google Scholar

Partula, V., Deschasaux, M., Druesne-Pecollo, N., Latino-Martel, P., Desmetz, E., Chazelas, E., et al. (2020). Associations between consumption of dietary fibers and the risk of cardiovascular diseases, cancers, type 2 diabetes, and mortality in the prospective NutriNet-Santé cohort. Am. J. Clin. Nutr. 112, 195–207. doi:10.1093/ajcn/nqaa063

PubMed Abstract | CrossRef Full Text | Google Scholar

Petrides, J., Collins, P., Kowalski, A., Sepede, J., and Vermeulen, M. (2019). Lifestyle changes for disease prevention. Prim. Care 46, 1–12. doi:10.1016/j.pop.2018.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Poljsak, B. (2011). Strategies for reducing or preventing the generation of oxidative stress. Oxidative Med. Cell. Longev. 2011, 194586. doi:10.1155/2011/194586

PubMed Abstract | CrossRef Full Text | Google Scholar

Ragheb, S. R., El Wakeel, L. M., Nasr, M. S., and Sabri, N. A. (2020). Impact of Rutin and Vitamin C combination on oxidative stress and glycemic control in patients with type 2 diabetes. Clin. Nutr. ESPEN 35, 128–135. doi:10.1016/j.clnesp.2019.10.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramana, K. V., Srivastava, S., and Singhal, S. S. (2014). Lipid peroxidation products in human health and disease 2014. Oxidative Med. Cell. Longev. 2014, 162414. doi:10.1155/2014/162414

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramezanipour, M., Jalali, M., Sadrzade-Yeganeh, H., Keshavarz, S. A., Eshraghian, M. R., Bagheri, M., et al. (2014). The effect of weight reduction on antioxidant enzymes and their association with dietary intake of vitamins A, C and E. Arq. Bras. Endocrinol. Metabol. 58, 744–749. doi:10.1590/0004-2730000003206

PubMed Abstract | CrossRef Full Text | Google Scholar

Rector, R. S., Warner, S. O., Liu, Y., Hinton, P. S., Sun, G. Y., Cox, R. H., et al. (2007). Exercise and diet induced weight loss improves measures of oxidative stress and insulin sensitivity in adults with characteristics of the metabolic syndrome. Am. J. physiology. Endocrinol. metabolism 293, E500–E506. doi:10.1152/ajpendo.00116.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Sackesen, C., Ercan, H., Dizdar, E., Soyer, O., Gumus, P., Tosun, B. N., et al. (2008). A comprehensive evaluation of the enzymatic and nonenzymatic antioxidant systems in childhood asthma. J. Allergy Clin. Immunol. 122, 78–85. doi:10.1016/j.jaci.2008.03.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Samtiya, M., Aluko, R. E., Dhewa, T., and Moreno-Rojas, J. M. (2021). Potential health benefits of plant food-derived bioactive components: An overview. Foods 10, 839. doi:10.3390/foods10040839

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmidt, A. M., Hori, O., Brett, J., Yan, S. D., Wautier, J. L., and Stern, D. (1994). Cellular receptors for advanced glycation end products. Implications for induction of oxidant stress and cellular dysfunction in the pathogenesis of vascular lesions. Arterioscler. Thromb. 14, 1521–1528. doi:10.1161/01.atv.14.10.1521

PubMed Abstract | CrossRef Full Text | Google Scholar

Seyedsadjadi, N., and Grant, R. (2020). The potential benefit of monitoring oxidative stress and inflammation in the prevention of non-communicable diseases (NCDs). Antioxidants 10, 15. doi:10.3390/antiox10010015

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharifi-Rad, M., Anil Kumar, N. V., Zucca, P., Varoni, E. M., Dini, L., Panzarini, E., et al. (2020). Lifestyle, oxidative stress, and antioxidants: Back and forth in the pathophysiology of chronic diseases. Front. Physiol. 11, 694. doi:10.3389/fphys.2020.00694

PubMed Abstract | CrossRef Full Text | Google Scholar

Sterne, J. A., Hernán, M. A., Reeves, B. C., Savović, J., Berkman, N. D., Viswanathan, M., et al. (2016). ROBINS-I: A tool for assessing risk of bias in non-randomised studies of interventions. BMJ 355, i4919. doi:10.1136/bmj.i4919

PubMed Abstract | CrossRef Full Text | Google Scholar

Sterne, J. A., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., et al. (2019). RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ 366, l4898. doi:10.1136/bmj.l4898

PubMed Abstract | CrossRef Full Text | Google Scholar

Sureda, A., Del Bibiloni, M. M., Martorell, M., Buil-Cosiales, P., Marti, A., Pons, A., et al. (2016). Mediterranean diets supplemented with virgin olive oil and nuts enhance plasmatic antioxidant capabilities and decrease xanthine oxidase activity in people with metabolic syndrome: The PREDIMED study. Mol. Nutr. food Res. 60, 2654–2664. doi:10.1002/mnfr.201600450

PubMed Abstract | CrossRef Full Text | Google Scholar

The Nutrition Source, (2014). Disease prevention. Available from: https://www.hsph.harvard.edu/nutritionsource/disease-prevention/.[cited 2022 Sep 26].

Google Scholar

Vetrani, C., Costabile, G., Di Marino, L., and Rivellese, A. A. (2013). Nutrition and oxidative stress: A systematic review of human studies. Int. J. food Sci. Nutr. 64, 312–326. doi:10.3109/09637486.2012.738651

PubMed Abstract | CrossRef Full Text | Google Scholar

Volkova, I. V., Sukhova, L. L., Davydov, V. V., and Goloborod'ko, A. V. (2012). The activity of the first line enzymes of the antioxidant defence in the liver of pubertal rats during stress. Biomed. Khim 58, 573–578. doi:10.18097/pbmc20125805573

PubMed Abstract | CrossRef Full Text | Google Scholar

McGuinness, L. A., and Higgins, J. P. (2021). Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments. Res Synth Methods 12, 55–61. doi:10.1002/jrsm.1411

PubMed Abstract | CrossRef Full Text | Google Scholar

Moylan, J. S., and Reid, M. B. (2007). Oxidative stress, chronic disease, and muscle wasting. Muscle Nerve 35, 411–429. doi:10.1002/mus.20743

PubMed Abstract | CrossRef Full Text | Google Scholar

World Health Organization, (2013). Global action plan for the prevention and control of noncommunicable diseases 2013-2020. Geneva, Switzerland: World Health Organization, Available at: https://apps.who.int/iris/handle/10665/94384

Google Scholar

World Health Organization, (2022). Non communicable diseases. Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases. [cited 2022 Sep 26].

Google Scholar

Yadav, R., Yadav, R. K., Khadgawat, R., and Pandey, R. M. (2019). Comparative efficacy of a 12 week yoga-based lifestyle intervention and dietary intervention on adipokines, inflammation, and oxidative stress in adults with metabolic syndrome: A randomized controlled trial. Transl. Behav. Med. 9, 594–604. doi:10.1093/tbm/iby060

PubMed Abstract | CrossRef Full Text | Google Scholar

Yilmaz, M. I., Romano, M., Basarali, M. K., Elzagallaai, A., Karaman, M., Demir, Z., et al. (2020). The effect of corrected inflammation, oxidative stress and endothelial dysfunction on fmd levels in patients with selected chronic diseases: A quasi-experimental study. Sci. Rep. 10, 9018. doi:10.1038/s41598-020-65528-69018

PubMed Abstract | CrossRef Full Text | Google Scholar

Younus, H. (2018). Therapeutic potentials of superoxide dismutase. Int. J. Health Sci. (Qassim) 12, 88–93.

PubMed Abstract | Google Scholar

Zhang, J., Chen, R., Yu, Z., and Xue, L. (2017). Superoxide dismutase (SOD) and catalase (CAT) activity assay protocols for Caenorhabditis elegans. Bio Protoc. 7, e2505. doi:10.21769/BioProtoc.2505

PubMed Abstract | CrossRef Full Text | Google Scholar

Ziad, M., Zaher, M.A., and Judeh, and Saleh A. Ahmed (2020). “Nonenzymatic exogenous and endogenous antioxidants,” in Free radical medicine and biology. Editor K. K. Das (London, UK: IntechOpen).

Google Scholar