REVIEW article

Front. Genet., 20 April 2022

Sec. Epigenomics and Epigenetics

Volume 13 - 2022 | https://doi.org/10.3389/fgene.2022.869950

The Potential Role of m6A RNA Methylation in the Aging Process and Aging-Associated Diseases

  • JS

    Jin Sun 1,2

  • BC

    Bokai Cheng 1,2

  • YS

    Yongkang Su 1,2

  • ML

    Man Li 1,2

  • SM

    Shouyuan Ma 3

  • YZ

    Yan Zhang 4

  • AZ

    Anhang Zhang 1,2

  • SC

    Shuang Cai 1,2

  • QB

    Qiligeer Bao 1,2

  • SW

    Shuxia Wang 1,2*

  • PZ

    Ping Zhu 1,2*

  • 1. Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China

  • 2. Medical School of Chinese PLA, Beijing, China

  • 3. Department of Geriatric Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China

  • 4. Department of Outpatient, The First Medical Center, Chinese PLA General Hospital, Beijing, China

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Abstract

N6-methyladenosine (m6A) is the most common and conserved internal eukaryotic mRNA modification. m6A modification is a dynamic and reversible post-transcriptional regulatory modification, initiated by methylase and removed by RNA demethylase. m6A-binding proteins recognise the m6A modification to regulate gene expression. Recent studies have shown that altered m6A levels and abnormal regulator expression are crucial in the ageing process and the occurrence of age-related diseases. In this review, we summarise some key findings in the field of m6A modification in the ageing process and age-related diseases, including cell senescence, autophagy, inflammation, oxidative stress, DNA damage, tumours, neurodegenerative diseases, diabetes, and cardiovascular diseases (CVDs). We focused on the biological function and potential molecular mechanisms of m6A RNA methylation in ageing and age-related disease progression. We believe that m6A modification may provide a new target for anti-ageing therapies.

1 Introduction

Ageing is a process of molecular and cellular damage accumulating over time, leading to a progressive decline in physical and mental capacity and an increased risk of disease and death (Borghesan et al., 2020). At present, changes in molecular and cellular ageing processes are believed to be the basis of age-related diseases, including cell senescence, autophagy, inflammation, oxidative stress, DNA damage, telomere depletion, protease inactivation, and epigenetic disorders (Ungvari et al., 2020). Ageing is the greatest risk factor for most chronic diseases, leading to morbidity and mortality (Kennedy et al., 2014). Presently, the field of ageing has focused on understanding the molecular mechanisms that regulate the ageing process and identifying biomarkers that could help to predict age-related processes. New therapeutic targets mainly focus on improving the health of the elderly population.

Epigenetics regulate gene and non-coding RNA expression without altering primary DNA sequences through many mechanisms, such as DNA methylation, histone modification, and nucleosome localisation (Portela and Esteller, 2010). Epigenetic imprinting persists during development and can be passed on to the offspring (Fraga et al., 2005; Kaminsky et al., 2009). Known epigenetic mechanisms include DNA methylation, histone modification, chromatin remodelling, and RNA methylation (Wang and Chang, 2018). At present, it is believed that during the ageing process, a decrease in histone synthesis and a change in chromatin structure leads to a general loss of structural heterochromatin (Lee et al., 2020). Histone variants have also been observed in ageing organisms, which have different primary sequences and properties compared to typical histones, thus changing the gene transcription program (Henikoff and Smith, 2015). In addition, the ageing process involves DNA methylation changes (Day et al., 2013; Horvath, 2015; Unnikrishnan et al., 2019), ATP-dependent chromatin remodelling (Clapier et al., 2017), histone modifications (including methylation, acetylation, ubiquitination) (Lawrence et al., 2016), and miRNA changes (Huan et al., 2018).

As one of the most common post-transcriptional modifications in eukaryotic mRNA, N6-methyladenosine (m6A) adds a methyl group to the nitrogen-containing base at the sixth position of the adenine residue of RNA. It was first found in the eukaryotic mRNA of Novikov hepatoma cells and mouse L cells (Desrosiers et al., 1974; Schäfer, 1982). m6A modification has a conservative identification motif, RRACH (R = G/A, H = A/C/U) (Csepany et al., 1990). The evolutionary conservatism and dynamic reversibility of its modification make it unique for gene expression regulation. m6A RNA methylation has become a key regulator of various post-transcriptional gene regulation processes and acts as a translation initiation mechanism in protein synthesis (Karthiya and Khandelia, 2020). In addition, numerous reports have indicated that m6A modification may cause important changes in the ageing process and affect the occurrence and development of many age-related diseases. In this review, we focused on m6A RNA methylation mechanisms related to the ageing process and emphasised their significance in age-related diseases. We believe that m6A RNA methylation is a potential target for treating age-related diseases.

2 Overview of N6-Methyladenosine Modification

RNA modification is a post-transcriptional process that regulates gene expression by binding to proteins without involving the RNA sequence. More than 160 types of RNA modifications, ubiquitous in both coding and non-coding RNA, have been identified. First discovered in 1974, m6A modification refers to the methylation of the sixth nitrogen atom of adenylate. It is considered the most abundant internal modification in eukaryotic mRNA (Desrosiers et al., 1974). With recent improvements in detection techniques, such as high-throughput sequencing, the study of m6A RNA methylation is booming. Presently, it has been reported that there are three m6A residues per average mRNA transcript in mammalian cells (Dominissini et al., 2012). In addition to mRNA, m6A RNA methylation covers almost all types of RNA, including transfer RNAs (tRNAs), ribosomal RNAs (rRNAs), cyclic RNAs (circRNAs), microRNAs, and small nucleolar RNA (snoRNA) (Sergiev et al., 2016).

m6A RNA methylation is a dynamic and reversible RNA modification, and its function is determined by three types of enzymes: RNA methyltransferase, RNA demethylase, and m6A-binding proteins (Figure 1) (Fu et al., 2014). m6A modification is crucial in regulating gene expression, splicing, RNA editing, RNA stability, controlling mRNA lifespan and degradation, and mediating ring RNA translation (Zhao et al., 2017). In addition, m6A modification is related to many physiological processes, pathological processes, and human diseases, including the circadian rhythm (Zhong et al., 2018), reproductive system development (Hongay and Orr-Weaver, 2011; Hsu et al., 2017; Ivanova et al., 2017; Kasowitz et al., 2018), haematopoietic system development (Wang et al., 2014a; Zhang et al., 2017), nervous system development and degeneration (Hess et al., 2013; Lence et al., 2016; Li et al., 2017a; Yen and Chen, 2021), cardiovascular diseases (CVDs) (Chen et al., 2021a), nutritional and metabolic diseases (Wu et al., 2020a), and tumorigenesis (Wang et al., 2020a; Zhou et al., 2020).

FIGURE 1

2.1 RNA Methyltransferases

RNA methyltransferases, including RNA methyltransferase-like protein 3 (METTL3) (Bokar et al., 1997), RNA methyltransferase-like protein 14 (METTL14) (Liu et al., 2014), Wilms’ tumour 1-associating protein (WTAP) (Agarwala et al., 2012), RNA-binding motif protein 15 (RBM15) and its analogue RBM15B (Patil et al., 2016), Vir-like m6A RNA methyltransferase associated protein (VIRMA)/KIAA1429 (Schwartz et al., 2014), Zinc finger CCCH domain-containing protein 13 (ZC3H13) (Wen et al., 2018), RNA methyltransferase-like protein 16 (METTL16) (Pendleton et al., 2017), and RNA methyltransferase-like protein 5 (METTL5) (van Tran et al., 2019; Richard et al., 2019), mediate m6A modification, are mainly located in nuclear speckles, and are called “m6A writers.” Among these, METTL3 was the first key RNA methyltransferase and core RNA methyltransferase subunit of m6A methylation. It is critical in the occurrence of m6A modifications and participates in various physiological processes (Bokar et al., 1997). Abnormal METTL3 expression changes m6A RNA methylation levels. As the structural support for METTL3, METTL14 is co-located in the nucleus in a 1:1 ratio and forms a stable RNA methyltransferase complex responsible for m6A modification (Liu et al., 2014). WTAP in the RNA methyltransferase complex is primarily used as a connecting protein between METTL3 and METTL14. WTAP lacks a conserved catalytic methylation domain and cannot catalyse m6A modification, but its deletion significantly affects m6A modification levels and physiological processes, such as embryonic differentiation (Ping et al., 2014). METTL3/METTL14/WTAP is considered to be the core RNA methyltransferase component, and in recent years, some studies have reported new RNA methyltransferase complex components, such as RBM15/15B, which assists in the binding of METTL3 and WTAP, and its deletion leads to damage to X-inactive specific transcript (XIST)-mediated gene silencing on the X chromosome (Knuckles et al., 2018). ZC3H13 (Wen et al., 2018), VIRMA (Yue et al., 2018), and other proteins also participate in m6A RNA methylation as cofactors of the m6A RNA methyltransferase complex. In addition, Warda et al. (2017) reported on an independent m6A writer, METTL16, finding that its binding site does not overlap with the METTL3/METTL14 methylation complex, and it regulates the stability and splicing of mRNA by catalysing m6A modification in snoRNAs, U6 small nuclear RNAs (snRNAs), and other long non-coding RNAs (lncRNAs). There are continuous reports of new RNA methyltransferases, such as METTL5, the enzyme responsible for 18S rRNA m6A modification, and ZCCHC4, a confirmed 28S rRNA m6A modification enzyme (van Tran et al., 2019; Richard et al., 2019). Some studies reported that WTAP interacts with many proteins and lncRNAs, of which more than 100 may bind to METTL3 or METTL14 (Schöller et al., 2018). Therefore, “writer” may include the reported proteins and other components that need further exploration.

2.2 RNA Demethylases

RNA demethylases, including fat mass and obesity-related proteins (FTO) (Jia et al., 2011), AlkB homologue 5 (ALKBH5) (Huang et al., 2020a), and AlkB homologue 3 (ALKBH3) (Ueda et al., 2017; Sun et al., 2019), can remove the m6A modification. They are called “m6A erasers” and are located in nuclear spots with RNA methyltransferase. In 2011, FTO was identified as the first m6A RNA demethylase, verifying that m6A RNA methylation is a dynamic and reversible RNA modification. FTO-mediated m6A demethylation acts in various biological processes, inhibiting peroxisome proliferator-activated receptor (PPARβ/δ) and AMP-activated protein kinase (AMPK) pathways, disrupting skeletal muscle lipid utilisation, inhibiting macrophage lipid influx by downregulating PPARγ protein expression, and accelerating cholesterol outflow via AMPK phosphorylation. Thus, foam cell formation and atherosclerosis development were inhibited (Yang et al., 2022). FTO regulates the alternative splicing of RUNT-related transcription factor 1 (RUNX1) through m6A modifications (Zhao et al., 2014), whereas FTO regulates fat formation and deposition by altering the expression of PPARγ (Lee et al., 2011) and angiopoietin-like 4 (ANGPTL4) (Wang et al., 2015a). In addition, FTO is widely involved in regulating the cell cycle (Li et al., 2019a), tumour growth (Li et al., 2019b), proliferation and migration (Tang et al., 2019), stem cell maintenance (Su et al., 2020) and other biological processes.

ALKBH5 is the second m6A RNA demethylase and is expressed in most tissues, especially the testes (Aik et al., 2014). ALKBH5 inactivation increases m6A RNA methylation levels, leading to male-mouse infertility (Tang et al., 2018a). In addition, ALKBH3 has recently been considered a new m6A RNA demethylase that preferentially catalyses m6A demethylation in tRNA (Ueda et al., 2017; Woo and Chambers, 2019).

2.3 N6-Methyladenosine Binding Proteins

The “m6A writers” and “m6A erasers” determine whether RNA is methylated, but m6A-binding proteins (“m6A readers”) determine the final biological function of m6A modification. “m6A readers” recognise and bind to an m6A modified transcript, then regulate mRNA stability (Zhao et al., 2014), mRNA splicing (Xiao et al., 2016), mRNA structure (Spitale et al., 2015), mRNA output (Roundtree et al., 2017), translation efficiency (Wang et al., 2015b) and microRNA (miRNA) biogenesis (Alarcón et al., 2015). “Readers” include proteins containing YTH domains (YTHDF1/2/3 and YTHDC1/2), heterogeneous ribonucleoproteins including heterogenous nuclear ribonucleoprotein (HNRNP) C (HNRNPC), HNRNP G (HNRNPG), and HNRNP A2B1 (HNRNPA2B1), and insulin-like growth factor 2 binding proteins (IGF2BPs), which are members of a protein family involved in regulating some aspects of ageing. Different “readers” have different cellular localisations and thus perform various biological functions. YTH domain containing 1 (YTHDC1) regulates mRNA splicing by recruiting the splicing factor serine- and arginine-rich splicing factor 3 (SRSF3) or blocking serine- and arginine-rich splicing factor 10 (SRSF10) in the nucleus (Xiao et al., 2016). In addition, it increases the output of circRNA NOP2/SUN domain family, member 2 (circNSUN2) in the cytoplasm by interacting with nuclear output factor 1 (Chen et al., 2019a). HNRNPA2B1 and HNRNPC are also located in the nucleus. HNRNPA2B1 regulates RNA splicing and promotes miRNA maturation by recognising pri-miRNA markers and interacting with DiGeorge syndrome critical region 8 (DGCR8) (Zhao et al., 2017). HNRNPC selectively recognizes m6A modified transcripts to promote pre-RNA processing (Liu et al., 2015). YTHDF1/2/3, YTH domain containing 2 (YTHDC2), and IGF2BP1/2/3 are localised in the cytoplasm. YTH domain family protein 1 (YTHDF1) initiates RNA translation by interacting with translation initiation factors and ribosomes, whereas YTH domain family protein 2 (YTHDF2) selectively binds m6A modified transcripts and accelerates their degradation (Wang et al., 2015b). On the other hand, YTH domain family protein 3 (YTHDF3) and YTHDF1/2 play a synergistic role, not only promoting YTHDF1-mediated translation but also affecting the decline in YTHDF2-mediated m6A modification (Wang et al., 2014b; Shi et al., 2017). Like YTHDF3, YTHDC2 is an RNA helicase, and its helix-unwinding region contributes to RNA binding and promotes mRNA translation or degradation (Hsu et al., 2017). Other proteins located in the cytoplasm are IGF2BP1–3, which recognise and bind to m6A modified transcripts, thus enhancing mRNA stability (Huang et al., 2018).

3 N6-Methyladenosine Changes in Molecular Processes Associated With Ageing

Many studies have confirmed that m6A methylation regulates several physiological processes that are crucial in the ageing process. Here, we focused on the mechanisms of m6A RNA methylation in autophagy, inflammation, oxidative stress, DNA damage, and cell senescence (Table 1).

TABLE 1

The Processes related to agingm6A regulatorOrganismRole in processesMechanismReference
AutophagyMTCCells, DrosophilaSuppressionPromote the degradation of ATG transcriptsTang et al. (2021)
METTL14Leydig CellsSuppressionReduce AMPK activityChen et al. (2021b)
ALKBH5Leydig CellsPromotionPromote the activity of AMPKChen et al. (2021b)
ovarian cancer cellsSuppressionRegulation of bcl-2 expressionZhu et al. (2019)
FTO, YTHDF2CellsPromotionIncrease the expression of ULK1Jin et al. (2018)
InflammationMETTL3CellsPromotionRegulate alternative splicing of MyD88Feng et al. (2018)
METTL14Endothelial cell, micePromotionPromote FOXO1 expressionJian et al. (2020)
ALKBH5HK-2 cellsPromotionUp-regulate MALAT1 expression by demethylationZhu and Lu, (2020)
FTOCellsPromotionPromote M1 and M2 macrophage activationGu et al. (2020)
RBM4, YTHDF2CellsSuppressionDecrease m6A modified STAT1 mRNA levels and inhibite the polarization of M1 macrophagesHuangfu et al. (2020)
Oxidative stressMETTL3mRTECsSuppressionRegulate Keap1-Nrf2 pathwayWang et al. (2019c)
METTL14Cardiomyocytes, miceSuppressionRegulate Wnt1/β-Catenin Signaling PathwayPang et al. (2021)
WTAPCells and ratPromotionRegulate m6A modification of ATF4 mRNAWang et al. (2021)
FTOCell, human samplesPromotionIncreased the translation efficiency of PGC1αmRNAZhuang et al. (2019)
YTHDF1/3CellsPromotionPromote stress granule formationFu and Zhuang, (2020)
DNA damageMETTL3, YTHDC1CellsSuppressionModulates accumulation of DNA-RNA hybrids at DSBs sites and recruit RAD51 and BRCA1Zhang et al. (2020c)
METTL3/14, YTHDC1CellsSuppressionActive on ssDNA and lesion-containing dsDNAYu et al. (2021)
YTHDF1Cells, miceSuppressionUpregulates HR-related factors RAD51 and BRCA1Sun et al. (2022)
Cell senescenceMETTL3CellsPromotionTarget NF-κB, drives the senescence-associated secretory phenotypeLiu et al. (2021)
METTL14Clinical SamplePromotionParticipates in the TNF-α-induced m6A modification of miR-34a-5p to promote cell senescenceZhu et al. (2021b)
FTOGranulosa cellsSuppressionRegulates the expression of FOSJiang et al. (2021)
METTL3, IGF2BP2hMSCSuppressionStabilizate of the MIS12 transcriptWu et al. (2020b)

The role of m6A modification in the fundamental processes.

3.1 N6-Methyladenosine and Autophagy

Autophagy is a highly conserved intracellular clearance mechanism regulated by various proteins and is important for maintaining homeostasis in the internal environment. The mammalian target of rapamycin (mTOR) is a key factor in autophagy regulation. Protein kinase B (AKT) and mitogen-activated protein kinase (MAPK) signalling pathways activate mTOR to inhibit autophagy, whereas AMPK and p53 pathways negatively regulate mTOR to promote autophagy (Alers et al., 2012). After mTOR inactivation, UNC-51-like kinase 1/2 (ULK1/2) is activated and binds to the focal adhesion kinase family interacting protein of 200 kDa (FIP200) to form a ULK1 complex with autophagy-related 13 (ATG13) proteins, promoting autophagosome formation (Codogno et al., 2011). m6A methylation and related regulators regulate autophagy by regulating ATG expression or by affecting autophagy-related signalling pathways. In 2018, Jin et al. first reported a positive regulatory effect of FTO on autophagy, accomplished by affecting the abundance of Unc-51 like autophagy activating kinase 1 (ULK1) (Jin et al., 2018). Another RNA demethylase, ALKBH5, has been shown to enhance autophagy by reducing m6A methylation in FIP200 transcripts (Li et al., 2020), suggesting a negative correlation between m6A modification and autophagy. A study of RNA methyltransferases further confirmed this. METTL3 upregulates methylation and triggers YTHDF1 and Forkhead box O3 (FOXO3) binding to promote the translation of FOXO mRNA. FOXO further blocks ATG gene expression to inhibit autophagy (Lin et al., 2020). A decrease in METTL14 levels increases the stability of calcium/calmodulin-dependent protein kinase 2 (CAMKK2) mRNA and activates the AMPK and ULK1 complex to initiate autophagy (Chen et al., 2021b).

Abnormal autophagy can lead to diseases, some of which may be associated with ageing. Studies have shown that autophagy decreases with age. Increasing autophagy levels can inhibit the accumulation of damaged proteins, delay the occurrence of degenerative changes, and prolong life (Rubinsztein et al., 2011; Papp et al., 2016). There is evidence that autophagy regulates some age-related diseases in lower organisms (such as Drosophila and Caenorhabditis elegans), but this hypothesis has not been confirmed in mammals. Accelerating ageing by decreasing autophagy is controversial. Nevertheless, several studies have reported that deleting autophagy proteins leads to the accumulation of misfolded proteins and abnormal mitochondria in cells, resulting in premature senescence, organ dysfunction, and eventually the development of various ageing-related diseases, such as neurodegenerative diseases, cancer, CVDs, and metabolic syndrome (Linton et al., 2015; Guo et al., 2018; Luo et al., 2020). In summary, autophagy regulation is closely related to ageing, in which m6A modification plays an important role. Therefore, further studies on the relationship between m6A modification and autophagy in ageing may provide a new method for anti-ageing research.

3.2 N6-Methyladenosine and Inflammation

RNA methylation is involved in inflammation. m6A methylation affects pathways related to metabolic reprogramming, stress response, and ageing by regulating type I interferon (IFN) mRNA stability (Rubio et al., 2018). Lipopolysaccharides (LPSs) induce inflammation. It has been found that LPS stimulation promotes METTL3 expression and biological activity in macrophages, and METTL3 overexpression alleviates lipopolysaccharide-induced inflammation through the nuclear factor-κB (NF-κB) signalling pathway, further confirming the relationship between m6A methylation and inflammation (Wang et al., 2019a). In addition, the interaction between m6A modification and inflammation is crucial for various diseases to occur. YTHDF2 deletion aggravates the inflammatory state and metastasis of human hepatocellular carcinoma cells (Hou et al., 2019). After an ischaemic stroke, FTO expression is downregulated, and m6A methylation is increased in the main inflammatory pathways, including interleukin (IL)-6 cytokines, tumour necrosis factor (TNF), toll-like receptor (TLR), and NF-κB signalling pathways (Chokkalla et al., 2019). It has been suggested that m6A may regulate secondary brain injury after cerebral ischaemia by affecting inflammation.

In summary, m6A methylation affects inflammation under physiological and pathological conditions. Presently, the chronic inflammatory state is considered one of the characteristics of ageing, namely “inflammatory ageing” (inflamm-ageing), which is mainly characterised by inflammatory cell infiltration and an increase in pro-inflammatory factors [TNF-α, IL-1β, IL-6, C-reactive protein (CRP), etc.] Although most current studies on the relationship between m6A modification and inflammation are based on specific diseases and signalling pathways, the study of epigenetic changes in inflammation potentiates the development of effective drugs with specific anti-ageing targets.

3.3 N6-Methyladenosine and Mitochondria: Oxidative Stress

Oxidative damage accumulates with ageing in many species and tissues. RNA modification is mobilised to activate or inhibit stress-resistant signalling pathways (Peters et al., 2021). Li et al. (2017b) found that the activities of METTL3/METLL14, p21, and senescence-related β-galactosidase (SA-βGAL) increased significantly after oxidative damage stimulated HCT116 p53−/−cells, indicating that METTL3/METLL14 may trigger the p53 independent effect of ageing in the oxidative damage response, which needs to be further tested. Arsenite et al. stimulated human keratinocytes to induce reactive oxygen species (ROS) production, increasing WTAP, METTL14, and total m6A expression levels (Zhao et al., 2019). FTO induces oxidative stress and increases ROS levels by reducing m6A methylation of peroxisome proliferator-activated receptor gamma coactivator-1 alpha (PGC1α) (an important regulator of mitochondrial metabolism that is also affected by the ageing process) and increasing PGC1α mRNA translation efficiency.

3.4 N6-Methyladenosine and DNA Damage

DNA damage refers to changes in DNA structure caused by physical or chemical stimuli in the environment. The persistence of DNA damage can lead to a prolonged DNA damage response (DDR) and induce senescence (Di Micco et al., 2021). m6A is critical in DNA damage and repair. It has been reported that METTL3/METTL14 and METTL16 are recruited to DNA damage sites to facilitate DNA repair and the DDR by adjusting m6A modifications under ultraviolet (UV) radiation stimulation (Svobodová Kovaříková et al., 2020). This repair is carried out through the nucleotide excision repair (NER) pathway because knockout of the non-homologous end junction (NHEJ) enzyme SUV391H/H2 does not affect m6A recruitment under UV stimulation (Svobodová Kovaříková et al., 2020).

3.5 N6-Methyladenosine and Cell Senescence

Cell senescence results from many processes, including telomere wear, macromolecular damage, and oncogene-activated signal transduction (Childs et al., 2015). Senescent cells widely exist in ageing and diseased tissues, secreting numerous pro-inflammatory cytokines, called the ageing-associated secretory phenotype [senescence-associated secretory phenotype (SASP)]. These cytokines regulate the tissue microenvironment and affect how nearby normal cells function. Studies have shown that senescent cells are involved in atherosclerosis (Ito et al., 2014), Alzheimer’s disease (AD) (Boccardi et al., 2015), Parkinson’s disease (PD) (Chinta et al., 2013), chronic obstructive pulmonary disease (Barnes et al., 2019), insulin resistance (Aravinthan et al., 2015), age-related chronic inflammation (Campisi and Robert, 2014), cancer (Calcinotto et al., 2019), osteoporosis (Farr and Khosla, 2019), and loss of haematopoietic stem cell function (de Haan and Lazare, 2018) in the elderly.

In 2017, Li et al. (2017b) reported a link between m6A methylation and cellular senescence. They found that p21 protein methylation increased with m6A methylation, whereas the p21 mRNA level was not affected by m6A, suggesting that m6A methylation regulates p21 translation. In another study, breast cancer cells were exposed to sublethal concentrations of ammonium trifluoride (SFN). m6A methylation levels decreased, the activity of SA-βGAL increased, and p53, p21, and p27 protein levels increased, but the corresponding mRNA levels remained unchanged. SFN may lead to senescence by reducing m6A methylation levels (Lewinska et al., 2017). Min et al. reported an m6A RNA modification map of human peripheral blood mononuclear cells (PBMCs) from young and old groups. They found that the total level of m6A modification in PBMCs of the elderly was significantly lower than that in the young PBMCs, while the expression of m6A modified transcripts was higher than that of unmodified transcripts (Min et al., 2018). Shafik et al. have reported dynamic changes in m6A RNA methylation during brain ageing. In their study, they compared the m6A spectra of Brodmann area 9 (BA9) in the cerebral cortex of 6-week-old and 52-week-old mice and post-mortem pubertal and elderly human brains, and the results showed that the m6A modification sites were significantly increased with increasing age, both in mice and humans. Functional enrichment analysis showed that differential m6A loci mainly occurred in the untranslated regions of genes that affect ageing-related pathways, which are related to the strong negative effect of mRNA expression (Shafik et al., 2021).

A recent study reported that METTL3 downregulation decreased m6A modification of human bone marrow mesenchymal stem cells (hMSC) with premature senescence, and hMSCs showed accelerated ageing after METTL3 gene knockout. The m6A modifications in Hutchinson-Gilford progeria (HGPS) and Werner syndrome (WS) increased with METTL3 overexpression and delayed disease progression. They identified MIS12 as the specific target of m6A modification deletion in the premature ageing process using RNA sequencing (RNA-seq) and m6A methylation RNA immunoprecipitation sequencing (MERIP-seq) analysis. m6A deletion accelerates hMSC ageing, while IGF2BP2 recognises and stabilizes m6A modified MIS12 mRNA to prevent accelerating senescence in hMSCs. Based on the above results, Wu et al. (2020b) proposed a regulatory model in which METTL3-mediated m6A modification improves the stability of IGF2BP2-mediated MIS12 mRNA, thus reversing the ageing phenotype of hMSCs.

Cellular senescence is an important component of the ageing process. Selective clearance of senescent cells is currently the focus of anti-senescence research. Senolytics (a mixture of dasatinib and quercetin), agents that target cellular senescence, have completed small clinical trials in patients with idiopathic fibrosis with promising efficacy and safety results (Justice et al., 2019). The results need to be validated in larger samples and populations with other age-related diseases. The link between m6A methylation and cellular senescence may provide novel therapeutic targets for localising senescent cells, with important clinical implications.

4 N6-Methyladenosine Changes in Ageing Associated Diseases/Disorders

The study of m6A RNA methylation and the ageing process has laid the foundation for more comprehensive and in-depth exploration into the epigenetic mechanisms of various ageing-related diseases. At present, several studies focus on the role of m6A RNA methylation in ageing-related pathological processes, such as cancer. Here, we summarise the latest reports on m6A modification and ageing-related diseases, focusing on cancer, neurodegenerative diseases, diabetes mellitus, and CVDs (Table 2).

TABLE 2

Age-related diseaseOrganismRole in diseasem6A regulatorFunctional in diseaseRef
Cancer:
 Respiratory neoplasms
  Lung cancerClinical Samples; cellsOncogeneMETTL3; FTO; YTHDF1/2; IGF2BP1Promote LC growth and progress; induce invasion and metastasis of NSCLC(Lin et al., 2016; Chen et al., 2020a), (Liu et al., 2018a; Chen et al., 2018; Müller et al., 2019)
CellsSuppressorALKBH5Inhibits tumor growth and metastasisJin et al. (2020)
  Nasopharyngeal carcinomaCellsOncogeneMETTL3Promote proliferation and invasion of NPC cellsZheng et al. (2019)
  LeukemiaClinical Samples; cells; miceOncogeneMETTL3; METTL14; WTAP; YTHDF1; FTO; IGF2BP1Promote AML cells proliferation and leukemia cells self-renewal, growth and metabolism(Bansal et al., 2014; Vu et al., 2017; Li et al., 2018a; Weng et al., 2018)
 Gastroinestinal tumor
  Hepatocellular carcinomaClinical Samples; cells; miceOncogeneMETTL3; METTL14; YTHDF1; KIAA1429; WTAP; YTHDF2Induce HCC cells proliferation, migration, invasion and metastasis(Chen et al., 2018; Cheng et al., 2019; Müller et al., 2019)
Cells; miceSuppressorMETTL14Suppress tumor invasion and metastasisMa et al. (2017)
  Gastric carcinomaCells, Clinical samplesOncogeneMETTL3; ALKBH5Promote proliferation, tumor angiogenesis, invasion and metastasis of GC(Zhang et al., 2019a; Wang et al., 2020e)
  Colorectal cancerCells, Clinical samples, miceOncogeneMETTL3; FTO; WTAP; YTHDC2; YTHDF1; IGF2BPsPromote the proliferation, migration, invasion and EMT of CRC cells(Tanabe et al., 2016; Zhang et al., 2016; Shen et al., 2018; Wu et al., 2019b; Li et al., 2019c)
Cells, clinical samplesSuppressorMETTL3; METTL14Suppress CRC proliferation and migration(Deng et al., 2019; Chen et al., 2020b)
  Pancreatic cancerCells, clinical samplesOncogeneMETTL3; YTHDF2Promote cell proliferation, migration, and invasion(Chen et al., 2017; Zhang et al., 2019b)
Cells, clinical samplesSuppressorALKBH5; YTHDF2Suppress cancer migration, invasion, and EMT(Chen et al., 2017; He et al., 2018)
 Urological cancers
  Bladder cancerCells, clinical samples, miceOncogeneMETTL3; FTO; ALKBH5Promote BC cells proliferation, colony formation, invasion and metastasis; inhibit cell apoptosis(Cai et al., 2018; Wang et al., 2020f)
Clinical samplesSuppressorMETTL14Inhibit bladder TIC self-renewal and tumorigenesisGu et al. (2019)
  Renal cell cancerCells, clinical samples, miceOncogeneWTAPEnhance cell proliferation abilitiesTang et al. (2018b)
Cells, clinical samples, miceSuppressorMETTL3; FTOSuppress tumor growth, proliferation, migration, invasion function and cell cycle of RCC and induce apoptosis(Li et al., 2017d; Zhuang et al., 2019)
  Prostate cancerCellsOncogeneMETTL3; YTHDF2Promote tumor cells proliferation, survival, colony formation, and migrationCai et al. (2019)
 Reproductive neoplasms
  Breast cancerCells, clinical samples, miceOncogeneMETTL3; FTO; ALKBH5Promote BC cells proliferation, colony formation and metastasis; inhibit the apoptosis(Niu et al., 2019; Wang et al., 2020f)
  Ovarian cancerCells, clinical samples, miceOncogeneMETTL3; ALKBH5; IGF2BP1Promote the proliferation and invasion in vitro and in vivo(Hua et al., 2018; Müller et al., 2019)
  Cervical carcinomCells, clinical samplesOncogeneFTOPromote cell proliferation and migration; induce resistanceZou et al. (2019)
  Endometrial cancerCells, clinical samples, miceSuppressorMETTL3/METTL14Inhibit the proliferation and tumorigenicityLiu et al. (2018b)
 Skin tumors
  MelanomaCells, clinical samples, miceOncogeneFTOIncrease tumor growthYang et al. (2019a)
Cells, clinical samples, miceSuppressorYTHDF1Restrain cell growth and migratory abilityJia et al. (2019)
  Squamous cell carcinomaCells, clinical samples, miceOncogeneMETTL3Promote tumorigenicityZhou et al. (2019)
 Neurodegenerative diseases:
  Alzheimer’s diseaseMice, clinical samplesUp- regulationMETTL3; IGF2BP2; RBM15B—(Han et al., 2020; Deng et al., 2021)
Cells, mice, clinical samplesDown- regulationMETTL3; FTO—(Huang et al., 2020b; Han et al., 2020), (Zhao et al., 2021)
  Parkinson’s diseaseCellsDown- regulationHNRNPC—Quan et al. (2021)
 Cardiovascular disease:
  HypertensionRat——The m6A methylation level reduceWu et al. (2019a)
  Cardiac hypertrophyCells, miceUp- regulationMETTL3; FTOPromote cardiomyocyte hypertrophy both in vitro and in vivo(Gan et al., 2013; Dorn et al., 2019), (Berulava et al., 2020)
  Heart failureClinical samples and miceUp- regulationMETTL3, METTL4, KIAA1429, FTO, YTHDF2Data from MeRIP-seqZhang et al. (2021)
Clinical sample, preclinical pig, mice, cellsDown- regulationFTOIncrease m6A in RNA and decrease cardiomyocyte contractile functionMathiyalagan et al. (2019)
  AtherosclerosisCells, mice, clinical sampleUp- regulationMETTL3, METTL14, IGF2BP1Promote cardiovascular endothelial cell proliferation and invasion; aggravates endothelial inflammation, angiogenesis and atherosclerosis(Zhang et al., 2020b; Jian et al., 2020; Dong et al., 2021)
  Diabete mellitusClinical sample, cellsUp- regulationFTO, METTL3Induce mRNA expression of FOXO1, G6PC, and DGAT2(Yang et al., 2019b; Yang et al., 2020b)
Cells, mice, clinical sampleDown- regulationMETTL3, METTL14regulated functional maturation and mass expansion of neonatal β-cells(De Jesus et al., 2019; Liu et al., 2019; Men et al., 2019; Wang et al., 2020d)

The functional roles of RNA m6A modification in various types of human disease.

4.1 Cancer

In recent years, many studies on m6A RNA methylation have reported that changes in m6A modification levels and the imbalance of regulatory factors are related to the activation and inhibition of cancer-related signalling pathways. Therefore, m6A modification is widely involved in the occurrence (Uddin et al., 2021), progression (Wang et al., 2020a), and drug resistance of cancer (Huang et al., 2020a) and may be a promising biomarker and potential therapeutic target for the diagnosis and prognosis of many kinds of tumours. High METTL3 (Vu et al., 2017), WTAP (Bansal et al., 2014; Naren et al., 2021), FTO (Li et al., 2017c), ALKBH5 (Shen et al., 2020a; Wang et al., 2020b), and YTHDF2 (Paris et al., 2019) expression has been observed in all subtypes of acute myelogenous leukaemia (AML), and high WTAP (Naren et al., 2021), ALKBH5 (Shen et al., 2020a; Wang et al., 2020b) and IGF2BP1 expression (Elcheva et al., 2020) are related to the poor prognosis of AML patients. The same phenomenon has been observed in solid tumours. METTL3, RBM15, KIAA1429, YTHDF1, YTHDF2, HNRNPA2B1, HNRNPC, and IGF2BP1/2/3 expression levels in lung cancer tissues are significantly higher than those in normal tissues (Shi et al., 2019; Zhang et al., 2020a; Li and Zhan, 2020; Sheng et al., 2020).

METTL3 may regulate the growth, differentiation, and apoptosis of AML cells by affecting the phosphoinositide 3-kinases (PI3K)/AKT pathway (Vu et al., 2017). Mechanistically, METTL3 promotes c-MYC, B-cell CLL/lymphoma 2 (BCL2), and phosphatase and tensin homologue (PTEN) mRNA translation by regulating m6A modification levels. Deleting METTL3 increases phosphorylated AKT (p-AKT) levels. METTL3 also regulates drug resistance and invasiveness of lung cancer cells by inducing m6A modification of enhancer of zeste homologue 2 (EZH2) mRNA in A549 cells (Chen et al., 2020a). In addition, it has been reported that the tumour suppressor miR-33a targets the 3′-UTR of METTL3 mRNA to reduce METTL3 expression, thus inhibiting A549 and NCI-H460 cell proliferation (Du et al., 2017). This suggests that METTL3 may be a new target for lung cancer therapy. Recently, Yankova et al. found that STM2457, a small molecule METTL3 inhibitor, reduced AML growth and increased apoptosis by reducing the expression of an mRNA known to cause leukaemia. Further animal experiments showed that STM2457 prolongs the survival time of various AML mouse models (Yankova et al., 2021). METTL14 acts in various solid tumours and leukaemia through different mechanisms. METTL14 expression is downregulated in AML cells. However, it still plays a carcinogenic role in AML. METTL14 increases MYB/MYC expression through the SPI1-METTL14-MYB/MYC signal axis to promote AML occurrence (Weng et al., 2018). METTL14 inhibits the migration and invasion of renal cancer cells by downregulating purinergic receptor P2X 6 (P2RX6) protein translation and ATP-P2RX6-Ca2+-p-ERK1/2-MMP9 signalling in renal cell carcinomas (Wang et al., 2019b).

The RNA demethylases FTO and ALKBH5 are also crucial in tumours. FTO may act as a tumour promoter. FTO increases the expression of myeloid zinc finger 1 (MZF1) by reducing m6A mRNA modification, and promotes lung cancer progression (Liu et al., 2018a). Knockdown of FTO increases the expression of tumour suppressor genes ASB2 and retinoic acid receptor alpha (RARA) and inhibits AML proliferation and differentiation (Li et al., 2017c). It also reduces the mRNA stability of ubiquitin-specific protease (USP7) and inhibits cancer cell growth (Li et al., 2019b).

In addition, some studies have focused on the function of m6A-binding proteins in tumours. YTHDF1 and YTHDF2 can be used as oncogenes and tumour suppressors. YTHDF1 deficiency regulates the transformation efficiency of cyclin-dependent kinase 2 (CDK2), cyclin-dependent kinase 4 (CDK4), and cyclin D1 (CCND1) through the Keap1-Nrf2-AKR1C1 pathway to inhibit tumour cell proliferation and xenograft tumorigenesis. YTHDF1 deletion also inhibits new lung adenocarcinoma (ADC) progression (Shi et al., 2019). However, the study also found that YTHDF1 knockdown leads to cell resistance to cisplatin, whereas high YTHDF1 expression leads to better clinical outcomes (Shi et al., 2019). The results of studies on the role of YTHDF2 in lung cancer are complex. One study reported that YTHDF2 promotes METTL3-induced tumorigenesis by increasing suppressor of cytokine signalling 2 (SOCS2) degradation (Chen et al., 2018). However, another study found that YTHDF2 overexpression inhibits non-small cell lung cancer (NSCLC) cell growth and invasion by promoting a decrease in yes-associated protein (YAP) mRNA in NSCLC cells (Jin et al., 2020). However, these studies have repeatedly confirmed the dual role of YTHDF1/2 in tumorigenesis and progression. IGF2BP1 exerts its carcinogenic function by regulating the expression of key transcriptional and metabolic factors, such as TNF receptor 2 (TNFR2), MYB, and MYC (Li et al., 2018a; Paris et al., 2019; Elcheva et al., 2020).

At present, m6A modification and its regulatory factors have proven to be crucial in the occurrence, metastasis, immune escape, and drug resistance of various tumours, including haematological tumours (Vu et al., 2017), respiratory tumours [lung cancer (Du et al., 2018) and nasopharyngeal carcinoma (Zheng et al., 2019)], digestive tract tumours (gastric cancer (Yang et al., 2020a), colorectal cancer (Ni et al., 2019; Shen et al., 2020b; Chen et al., 2021c), pancreatic cancer (Geng et al., 2020), and hepatocellular carcinoma (Chen and Wong, 2020)), urinary tumours [bladder cancer (Han et al., 2019), renal cell carcinoma (Zhuang et al., 2019), and prostate cancer (Zhu et al., 2021a)], reproductive system tumours [breast cancer (Cai et al., 2018), cervical squamous cell carcinoma (Wang et al., 2020c), epithelial ovarian cancer (Hua et al., 2018), and endometrial cancer (Liu et al., 2018b)], skin tumours [melanoma (Yang et al., 2019a; Jia et al., 2019), skin squamous cell carcinoma (Zhou et al., 2019)], and glioblastoma (Cui et al., 2017). Current research results show that m6A regulators may play a dual role in the pathogenesis of tumours, not only as oncogenes but as tumour suppressors. The biological effects of the same m6A regulator are different in different tumours. Some studies have reported the opposite role for an m6A regulator in the same cancer. In short, m6A modification can be used as a marker for a variety of tumours to diagnose and evaluate prognosis and potential therapeutic targets. However, our understanding of the role of m6A modification in tumours is still in its infancy. Numerous studies are still needed to explore the exact molecular mechanism of m6A and tumours to develop new targeted drugs for clinical treatment.

4.2 Diabetes Mellitus

m6A plays an important role in the pathogenesis of type 2 diabetes mellitus (T2D). It has been reported that the mRNA expression of RNA demethylase FTO in T2D patients is upregulated compared with that in a normal control group, inducing the increased expression of key genes involved in glucose and fat metabolisms, such as FOXO1, FASN, G6PC, and DGAT2. This suggests that FTO participates in glucose metabolism by regulating target gene expression (Yang et al., 2019b). In addition, some studies have found that METTL3/14 expression in the β cells of T2D patients and diabetic mice is decreased, leading to decreased β cell proliferation and impaired insulin secretion by reducing the m6A modification levels of several transcripts related to cell cycle progression, insulin secretion, and insulin/IGF1-AKT-PDX1 pathway (De Jesus et al., 2019; Wang et al., 2020d). In addition, loss of METTL3/14 is associated with abnormal glucose tolerance, hyperglycaemia, and hypoinsulinemia in neonatal mice (Liu et al., 2019; Men et al., 2019; Wang et al., 2020d). A recent study found that METTL3 mRNA and miR-25-3p expression were downregulated in PBMCs and retinal pigment epithelial (RPE) cells stimulated by high glucose. RPE cells overexpressing METTL3 could upregulate p-AKT levels through the miR-25-3p/PTEN axis, thus rescuing the viability of RPE cells stimulated by high glucose (Zha et al., 2020). However, inconsistently, Yang et al. found that METTL3 expression was upregulated in human diabetic cataract tissue samples and high glucose-induced human lens epithelial cells (HLECs), and the total level of m6A modification increased (Yang et al., 2020b). In summary, m6A modification is involved in the occurrence of T2D and its related complications. It is expected to provide a new diagnostic and treatment strategy for T2D and its complications.

4.3 Neurodegenerative Diseases

Currently, m6A modification is considered very important for nervous system development (Hess et al., 2013; Lence et al., 2016; Li et al., 2017a). In addition, some studies have found that abnormal m6A modifications are related to degenerative changes in the nervous system. Neurodegenerative diseases, including AD and PD, are caused by the gradual loss of neuronal structure or function. It has been reported that m6A modification levels are downregulated in 6-hydroxydopamine (6-OHDA)-treated PC12 cells and rat striatum, whereas 6-OHDA increases the level of oxidative stress and Ca2+ influx by inducing N-methyl-d-aspartate (NMDA) receptor one expression, leading to the death of dopaminergic neurons that eventually develops into PD (Chen et al., 2019b). In addition, some studies have focused on the correlation between m6A modification and AD. Compared with the control group, METTL3 expression in the cerebral cortex and hippocampus of AD model mice was upregulated, FTO expression was downregulated, and modification levels were significantly increased, suggesting that m6A methylation promotes AD development (Han et al., 2020). Mechanistic studies have reported that FTO activates the TSC1-mTOR-Tau signalling pathway by reducing m6A modification levels and then participates in the occurrence of AD (Li et al., 2018b; Annapoorna et al., 2019; Chen et al., 2019b). However, FTO expression was increased in the brains of ternary transgenic AD mice, and conditional knockout of FTO in the neurons of AD mice improved their cognitive ability (Li et al., 2018b). Previous studies have reported that FTO is associated with structural brain atrophy in healthy elderly subjects (Ho et al., 2010), and a prospective cohort study also found that FTO interacts with apolipoprotein E (APOE) to increase the risk of dementia, especially AD (Keller et al., 2011). In summary, the above studies showed that m6A modification is related to neurodegenerative changes, and its regulatory factors may be used as candidate therapeutic targets for neurodegenerative diseases. However, its role and mechanism need further exploration.

4.4 CVDs

Age is an independent risk factor for CVDs. Studies have shown that m6A modification may affect the occurrence and development of various CVDs. The level of m6A RNA methylation in pericytes of spontaneously hypertensive rats was decreased, suggesting that m6A is involved in blood pressure regulation (Wu et al., 2019a). In addition, under pressure overload stimulation, METTL3 induces compensatory cardiac hypertrophy by regulating the m6A modification of kinase and intracellular signal pathway transcripts. However, mice with conditional knockout of the METTL3 gene show the morphology and function of heart failure after stress or ageing stimulation (Dorn et al., 2019). Another study found that FTO expression increased after adipose factor-induced cardiomyocyte hypertrophy, whereas FTO knockout inhibited the hypertrophy of neonatal rat cardiomyocytes (Gan et al., 2013). Berulava et al. (2020) further confirmed these results. They found that the ejection fraction was significantly decreased in cardiomyocyte-specific knockout FTO mice, and heart failure progressed faster (Gan et al., 2013). However, another study found that increasing FTO expression in the hearts of mice with heart failure prevented the myocardial contractile transcript from degrading by reducing its m6A modification then reducing the decrease in myocardial contractility caused by ischaemia (Mathiyalagan et al., 2019). These studies suggest that m6A modification and its regulatory factors are crucial in maintaining normal myocardial homeostasis, compensatory myocardial hypertrophy, and heart failure progression.

In addition, m6A also acts in atherosclerosis progression. METTL14 increases the expression of mature miR-19a by upregulating the m6A modification of miR-19a and accelerates the proliferation of cardiovascular endothelial cells (Zhang et al., 2020b). Additionally, a study reported that METTL14 mediates endothelial cell inflammation, interacts with FOXO1, and promotes vascular cell adhesion molecule 1 (VCAM-1) and intercellular adhesion molecule 1 (ICAM-1) transcription, while METTL14 knockout inhibits the progression of atherosclerotic plaques in mice (Jian et al., 2020). It is believed that m6A modification affects the process of atherosclerosis by regulating cardiovascular endothelial proliferation and endothelial cell inflammation.

In summary, numerous studies have confirmed the correlation between m6A modification and CVDs, but further research needs to verify its established molecular changes and pathological process. In addition, most of the current reports focus on METTL3 and FTO, and the role of other m6A regulators, such as m6A binding proteins in CVDs, is still unclear. m6A modification still needs further exploration to provide a new treatment strategy for CVDs.

5 Conclusion and Perspectives

Alterations in the epigenetic transcriptome are key regulators of gene expression and cellular physiology. m6A, the most abundant internal modification of mRNAs and lncRNAs, is widely involved in regulating various cellular processes. Therefore, exploring the changes and molecular mechanisms of m6A modification in a pathological state and developing new targeted drugs will provide a new strategy for the early diagnosis and accurate treatment of diseases in the future.

Although several studies have reported on the functional role of m6A RNA methylation in ageing and related diseases, many major knowledge gaps remain to be filled. First, numerous studies have confirmed the correlation between m6A and age-related diseases. However, current research results are controversial. In tumours, for example, the same m6A regulatory factor may play different roles in different tumour types. For instance, METTL14 promotes the migration and invasion of breast cancer (Yi et al., 2020), whereas METTL14 downregulates the cancer-causing long-chain non-coding RNA X-inactive specific transcript (lncRNA XIST) and inhibits tumour proliferation and metastasis in colon cancer (Yang et al., 2020c). This may be due to the difference in disease types, but research on m6A is still in its infancy. The level of m6A modification, the biological role of regulatory factors in the occurrence and development of various diseases, and their molecular mechanisms require further study. There is still a way to go before m6A related drugs can be applied. Second, the epigenetic clock based on the DNA methylation site is recognised as the most promising marker of ageing and has been used to evaluate anti-ageing efficacy. m6A, a methylated form of epigenetics and DNA methylation, has been shown to function in ageing and ageing-related diseases. Whether it cooperates with DNA methylation to regulate gene expression during ageing or whether it has a potential relationship with other types of RNA modification or epigenetic methods remains to be further studied.

In addition, several reports have shown that m6A modification has great potential as a diagnostic marker and therapeutic target in the treatment of anti-ageing and age-related diseases, but few have identified inhibitors specifically targeting m6A regulatory proteins. Previous studies have found that the natural product rhein competitively binds the FTO active site in vitro (Chen et al., 2012), inhibits inflammation (Hu et al., 2019) and improves virus-induced lung injury (Shen et al., 2019). However, it is unclear whether m6A methylation regulation mediates these effects. Therefore, more drugs modified by m6A are required to fill this gap. In addition, the exact function of each m6A regulatory factor is not consistent in different cells, diseases, and even different stages of disease development. Our understanding of this is not comprehensive, which is also a challenge for applying m6A in anti-ageing therapy.

Statements

Author contributions

JS proposed the idea and drafted the manuscript, BC, YS, ML, SM, and YZ revised and corrected the initial manuscript, AZ, SC, and QB were involved in the accumulation of the relevant references, SW and PZ contributed to the conception of the study and helped perform the revision with constructive discussions. All authors read and approved the final manuscript.

Funding

This study was supported by the “National Key R&D Program of China” (Funding No. 2020YFC2008900), co-funded by Logistics Scientific Research Project of the Chinese PLA (Funding No.19BJZ30), National defense science and technology innovation projects (Funding No. 19-163-15-ZD-009-001-10) and Health care project of Second Medical Center of PLA General Hospital (Funding No. NLBJ-2019012).

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.

Glossary

  • 6-OHDA

    6-hydroxydopamine

  • AD

    Alzheimer's disease

  • ADC

    adenocarcinoma

  • AKT

    Protein kinase B

  • ALKBH3

    AlkB homologue 3

  • ALKBH5

    AlkB homologue 5

  • AML

    acute myeloid leukaemia

  • AMPK

    AMP-activated protein kinase

  • ANGPTL4

    angiopoietin-like 4

  • APOE

    apolipoprotein E

  • ASB2

    ankyrin repeat and SOCS box containing 2

  • ATG13

    autophagy-related 13

  • BA9

    Brodmann area 9

  • BCL2

    B-cell CLL/lymphoma 2

  • CAMKK2

    calcium/calmodulin-dependent protein kinase kinase 2

  • CCND1

    cyclin D1

  • CDK2

    cyclin-dependent kinase 2

  • CDK4

    cyclin-dependent kinase 4

  • circNSUN2

    circRNA NOP2/SUN domain family, member 2

  • circRNA

    cyclic RNA

  • CRP

    C-reactive protein

  • CVD

    cardiovascular disease

  • DDR

    DNA damage response

  • DGCR8

    DiGeorge syndrome critical region 8

  • DNMT3A

    DNA methyltransferase 3α

  • EGFR

    epidermal growth factor

  • EZH2

    enhancer of zeste homologue 2

  • FIP200

    family interacting protein of 200kDa

  • FOXO3

    Forkhead box O3

  • FTO

    fat mass and obesity-related proteins

  • HDF

    human diploid fibroblasts

  • HGPS

    Hutchinson-Gilford progeria

  • HLEC

    human lens epithelial cell

  • hMSC

    human bone marrow mesenchymal stem cell

  • HNRNPC

    heterogeneous nuclear ribonucleoprotein C

  • HNRNPG

    heterogeneous nuclear ribonucleoprotein G

  • HNRNPA2B1

    heterogeneous nuclear ribonucleoprotein A2B1

  • ICAM-1

    intercellular adhesion molecule 1

  • IFN: interferon
  • IGF2BP

    insulin-like growth factor 2 binding protein

  • IL

    Interleukin

  • LPS

    Lipopolysaccharides

  • lncRNA

    long non-coding RNA;

  • lncRNA XIST

    long-chain non-coding RNA X-inactive specific transcript

  • m6A

    N6-methyladenosine; MAPK: mitogen-activated protein kinase

  • MERIP-seq

    m6A methylation RNA immunoprecipitation sequencing

  • METTL3

    RNA methyltransferase-like protein 3

  • METTL5

    RNA methyltransferase-like protein 5

  • METTL14

    RNA methyltransferase-like protein 14

  • METTL16

    RNA methyltransferase-like protein 16

  • miRNA

    microRNA

  • MK2

    MAPKAPK2

  • mTOR

    mammalian target of rapamycin

  • MZF1

    myeloid zinc finger 1

  • NER

    nucleotide excision repair

  • NF-κB

    nuclear factor-κB

  • NHEJ

    non-homologous end junction

  • NMDA

    N-methyl-D-aspartate

  • NSCLC

    non-small cell lung cancer

  • P13K

    phosphoinositide 3-kinases

  • P2RX6

    purinergic receptor P2X 6

  • p-AKT

    phosphorylated AKT

  • PBMC

    peripheral blood mononuclear cell

  • PD

    Parkinson's disease

  • PGC1α

    peroxisome proliferator-activated receptor gamma coactivator-1 alpha

  • PPARβ/δ

    peroxisome proliferator-activated receptor

  • PTEN

    phosphatase and tensin homologue

  • RARA

    retinoic acid receptor alpha

  • RBM15

    RNA -binding motif protein 15

  • RNA-seq

    RNA sequencing

  • ROS

    reactive oxygen species

  • RPE

    retinal pigment epithelial

  • rRNA

    ribosomal RNA

  • RUNX1

    RUNT-related transcription factor 1

  • SA-βGAL

    senescence-related β-galactosidase

  • SAM

    S-Adenosyl Methionine

  • SASP

    senescence-associated secretory phenotype

  • SFN

    ammonium trifluoride

  • snoRNA

    small nucleolar molecule RNA

  • snRNA

    small nuclear RNA

  • SOCS2

    suppressor of cytokine signalling 2

  • SRSF10

    serine- and arginine-rich splicing factor 10

  • SRSF3

    serine- and arginine-rich splicing factor 3

  • T2D

    type 2 diabetes mellitus

  • TAZ

    PDZ binding motif-based transcriptional coactivator

  • TLR

    toll-like receptors

  • TNF

    tumour necrosis factor

  • TNFR2

    tumour necrosis factor receptor 2

  • tRNA

    transfer RNA

  • ULK1

    Unc-51 like autophagy activating kinase 1

  • ULK1/2

    UNC-51-like kinase

  • USP7

    ubiquitin specific protease 7

  • UV

    ultraviolet

  • VCAM-1

    vascular cell adhesion molecule 1

  • VIRMA

    Vir-like m6A RNA methyltransferase associated protein

  • WS

    Werner syndrome

  • WTAP

    Wilms’ tumour 1-associating protein

  • XIST

    X-inactive specific transcript

  • YAP

    yes associated protein

  • YTHDC1

    YTH domain containing 1

  • YTHDC2

    YTH domain containing 2

  • YTHDF1

    YTH domain family protein 1

  • YTHDF2

    YTH domain family protein 2

  • YTHDF3

    YTH domain family protein 3

  • ZCCH4

    zinc finger CCHC-type containing 4

  • ZC3H13

    zinc finger CCCH domain-containing protein 13

References

Summary

Keywords

N6-methyladenosine, aging, aging-related disease, epigenetics, RNA methylation

Citation

Sun J, Cheng B, Su Y, Li M, Ma S, Zhang Y, Zhang A, Cai S, Bao Q, Wang S and Zhu P (2022) The Potential Role of m6A RNA Methylation in the Aging Process and Aging-Associated Diseases. Front. Genet. 13:869950. doi: 10.3389/fgene.2022.869950

Received

05 February 2022

Accepted

31 March 2022

Published

20 April 2022

Volume

13 - 2022

Edited by

Giovanni Nigita, The Ohio State University, United States

Reviewed by

Xiangting Wang, University of Science and Technology of China, China

Piyush Khandelia, Birla Institute of Technology and Science, India

Updates

Copyright

© 2022 Sun, Cheng, Su, Li, Ma, Zhang, Zhang, Cai, Bao, Wang and Zhu.

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.

*Correspondence: Ping Zhu, ; Shuxia Wang,

This article was submitted to Epigenomics and Epigenetics, a section of the journal Frontiers in Genetics

Disclaimer

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.

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