Next Article in Journal
RINGs, DUBs and Abnormal Brain Growth—Histone H2A Ubiquitination in Brain Development and Disease
Next Article in Special Issue
Promoter-Adjacent DNA Hypermethylation Can Downmodulate Gene Expression: TBX15 in the Muscle Lineage
Previous Article in Journal
Regulation of Polyhomeotic Condensates by Intrinsically Disordered Sequences That Affect Chromatin Binding
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Commentary

Dynamic 5-Hydroxymethylcytosine Change: Implication for Aging of Non-Human Primate Brain

Guangdong Key Laboratory of Non-Human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
*
Author to whom correspondence should be addressed.
Epigenomes 2022, 6(4), 41; https://doi.org/10.3390/epigenomes6040041
Submission received: 31 October 2022 / Revised: 18 November 2022 / Accepted: 26 November 2022 / Published: 28 November 2022
(This article belongs to the Special Issue Recent Advances in Biological Methylation 2022)

Abstract

:
Profiling of 5-hydroxymethylcytosine (5hmC) in the brain regions of rhesus monkey at different ages reveals accumulation and tissue-specific patterns of 5hmC with aging. Region-specific differentially hydroxymethylated regions (DhMRs) are involved in neuronal functions and signal transduction. These data suggest that 5hmC may be a key regulator of gene transcription in neurodevelopment and thus a potential candidate for the epigenetic clock. Importantly, non-human primates are the ideal animal models for investigation of human aging and diseases not only because they are more genetically similar to humans but also epigenetically.

DNA methylation is essential for regulating gene expression in physiological processes of brain development and is critical for the occurrence and development of brain diseases. 5-methylcytosine (5mC), a classical form of DNA-methylation modification, has been recognized for regulating tissue- and cell-type-specific gene expression. As the first oxidized form of 5mC, 5-hydroxymethylcytosine (5hmC) has attracted great attention in recent years. Initially, 5hmC was considered to be a transient demethylation intermediate. Recent studies have shown a specifically higher distribution of 5hmC in the central nervous system, suggesting that 5hmC may be a key molecular marker for neurodevelopment and disease-related processes in the brain. Aging is a complex biological process modulated by multiple intrinsic and extrinsic factors, including epigenetic modifications [1]. Horvath et al. first proposed that the degree of 5mC at a specific site in DNA can be used to predict biological age and 5mC is now known as the epigenetic clock [2]. It has been reported that the major trend of aging includes global hypomethylation [3], which mainly occurs at repetitive DNA sequences. For a comprehensive understanding of the role of DNA methylation in development and aging, 5hmC should be considered.
To explore the mechanism of aging, animal models, including Caenorhabditis elegans and rodents, have been popularly used. However, these models are far from humans in terms of genetic and physiological similarities; in particular, their short life span is hard to compare with humans. More importantly, small animals lack the folding of the cortical surface, which is a unique structure in large mammals. Species-dependent differences in epigenetic regulation have been reported. For example, several studies demonstrated that pharmacological treatments could impact the epigenetic age to improve health or elongate lifespan in mice [4,5]; however, rapamycin did not significantly have an influence on the epigenetic age of the marmoset blood, though it could extend lifespan in mice [6]. DNA methylation studies of human aging were mainly performed using whole-blood samples because it is difficult to obtain fresh human-brain tissues. There were few studies of epigenetic regulation in postmortem human brains; however, the quality of post-mortem materials can be affected by the collecting times and conditions [7], which may introduce extensive variations considering that DNA methylation is sensitive to environmental changes. Cross-species conservation analyses demonstrated that the human-marmoset age clock has a moderately high correlation to two other non-human primate species: vervet monkeys and rhesus monkeys [7]. These findings indicated that non-human primates are closer to humans in epigenetics and would be an ideal model for investigating aging-related epigenetics.
Thus, we used freshly collected and well-preserved rhesus monkey brain tissues to examine the genome distribution and dynamics of 5hmC in different brain regions at 2 (juvenile), 8 (young adult), and 17 (old) years of age [8]. We observed an overall accumulation of 5hmC with age in all four brain regions in monkeys. Previous studies have shown that profiling of 5hmC in mouse brain displayed an age-related accumulation of 5hmC in the cerebellum and hippocampus [9]. Analyses of frozen human tissue have revealed the increased 5hmC in senescent cells [10]. Consistent with these early findings, elevated 5hmC in the monkey brain during aging indicates that an age-dependent increase in 5hmC is conserved across mammalian species and that 5hmC could be a new candidate of the epigenetic clock. A comparison of the 5hmC patterns in the cerebellum of human, mice, and rhesus monkey revealed that the 5hmC feature of rhesus monkey is closer to that in human [8], consistent with the notion that rhesus monkey shares a high degree of similarity (93%) in the genetic homology to human. These findings further demonstrate that the non-human primate is a better animal model to investigate human aging and diseases.
Tissue-specific gene expression provides a fundamental biological framework for differentiated phenotypes and functions among tissues. In the context of the same genome, dynamic DNA-methylation modifications are critical for regulating the differential expression of genes. Analyzing 5hmC in different brain regions of rhesus monkey brain indicated a unique pattern of 5hmC modification in the cerebellum at all ages, while the striatum demonstrated specific 5hmC alterations in older monkeys [8]. A further analysis demonstrated that brain region-specific differentially hydroxymethylated regions (DhMRs) are enriched in neuronal function and signal-transduction pathways [8]. These data suggest that region- and age-dependent 5hmC is supposedly involved in the regulation of tissue-specific gene expression, which could also play a role in the pathogenesis of aging-related brain diseases. It is necessary to further analyze the relationship between the 5hmC change and gene expression of specific tissues during aging.
Meanwhile, senescence is accompanied by changes in gene expression; thereby, tissue-specific gene expression can induce senescence at different rates in different tissues. It has been demonstrated that the cerebellum ages more slowly than other parts of the body in human and senescence of the mouse cerebellum is earlier than the hippocampus [11,12]. The cerebellum-specific pattern 5hmC and DhMRs associated with neuronal function in monkey, might provide a new biomarker for the aging rate of the cerebellum. The functions of the cerebellum are not only involved in coordination and movement but are also related to the cognitive dysfunction associated with neurodegenerative diseases with ataxic symptoms [13,14]. Cerebellum-specific 5hmC patterns may also provide novel insights into the pathogenesis of cerebellar-associated neurodegenerative diseases. In addition, the age-dependent 5hmC distribution in the striatum was correlated with DhMR in the old monkey [8], which is enriched in learning and locomotory behavior pathways that are also associated with striatum-related neurodegeneration [15].
Despite the progress in the past few years in understanding the function of 5hmC [16,17], the exact role of 5hmC in the regulation of gene expression and aging process is still not clear. The dynamics of 5hmC in different brain regions of non-human primate provide a new insight into the epigenetic clock. Age-dependent and region-specific 5hmC can serve as a candidate biomarker for aging to help predict accurate chronological age. To comprehensively explore the contribution of DNA methylation to gene expression, development, and aging, 5mC should be considered together because 5mC is the substrate of 5hmC. Both 5mC and 5hmC play an integrative role on gene regulation. Schlosberg et al. reported that stable levels of 5mC plus 5hmC are associated with the repression of gene [18] and, consistently, decreases in 5mC plus 5hmC can activate gene expression [18]. Future studies should be performed to investigate the change of 5mC and transcription alterations in different brain regions of rhesus monkey during aging. Integrated analyses of 5mC, 5hmC, and transcription will provide important and mechanistic insight into the DNA methylation in neurodevelopment and diseases.

Author Contributions

Writing—original draft preparation, X.L.; writing—review and editing, L.L.; supervision, X.-J.L. All authors have read and agreed to the published version of the manuscript.

Funding

This insight was supported by the Natural Science Foundation of Guangdong Province (2022A1515010689), the Key Field Research and Development Program of Guangdong Province (2018B030337001), The National Natural Science Foundation of China (81830032, 31872779, and 82071421), the Guangzhou Key Research Program on Brain Science (202007030008).

Data Availability Statement

The datasets mentioned in this report can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA688531.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Da Costa, J.P.; Vitorino, R.; Silva, G.M.; Vogel, C.; Duarte, A.C.; Rocha-Santos, T. A synopsis on aging-Theories, mechanisms and future prospects. Ageing Res. Rev. 2016, 29, 90–112. [Google Scholar] [CrossRef] [PubMed]
  2. Horvath, S. DNA methylation age of human tissues and cell types. Genome Biol. 2013, 14, R115. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Hannum, G.; Guinney, J.; Zhao, L.; Zhang, L.; Hughes, G.; Sadda, S.; Klotzle, B.; Bibikova, M.; Fan, J.B.; Gao, Y.; et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol. Cell 2013, 49, 359–367. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Schultz, M.B.; Kane, A.E.; Mitchell, S.J.; MacArthur, M.R.; Warner, E.; Vogel, D.S.; Mitchell, J.R.; Howlett, S.E.; Bonkowski, M.S.; Sinclair, D.A. Age and life expectancy clocks based on machine learning analysis of mouse frailty. Nat. Commun. 2020, 11, 4618. [Google Scholar] [CrossRef] [PubMed]
  5. Florian, M.C.; Leins, H.; Gobs, M.; Han, Y.; Marka, G.; Soller, K.; Vollmer, A.; Sakk, V.; Nattamai, K.J.; Rayes, A.; et al. Inhibition of Cdc42 activity extends lifespan and decreases circulating inflammatory cytokines in aged female C57BL/6 mice. Aging Cell 2020, 19, e13208. [Google Scholar] [CrossRef] [PubMed]
  6. Horvath, S.; Zoller, J.A.; Haghani, A.; Lu, A.T.; Raj, K.; Jasinska, A.J.; Mattison, J.A.; Salmon, A.B. DNA methylation age analysis of rapamycin in common marmosets. GeroScience 2021, 43, 2413–2425. [Google Scholar] [CrossRef] [PubMed]
  7. Sjoholm, L.K.; Ransome, Y.; Ekstrom, T.J.; Karlsson, O. Evaluation of Post-Mortem Effects on Global Brain DNA Methylation and Hydroxymethylation. Basic Clin. Pharmacol. Toxicol. 2018, 122, 208–213. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Xu, Y.; Zhong, L.; Wei, H.; Li, Y.; Xie, J.; Xie, L.; Chen, X.; Guo, X.; Yin, P.; Li, S.; et al. Brain Region- and Age-Dependent 5-Hydroxymethylcytosine Activity in the Non-Human Primate. Front. Aging Neurosci. 2022, 14, 934224. [Google Scholar] [CrossRef] [PubMed]
  9. Szulwach, K.E.; Li, X.; Li, Y.; Song, C.X.; Wu, H.; Dai, Q.; Irier, H.; Upadhyay, A.K.; Gearing, M.; Levey, A.I.; et al. 5-hmC-mediated epigenetic dynamics during postnatal neurodevelopment and aging. Nat. Neurosci. 2011, 14, 1607–1616. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Li, W.; Liu, M. Distribution of 5-hydroxymethylcytosine in different human tissues. J. Nucleic Acids 2011, 2011, 870726. [Google Scholar] [CrossRef] [PubMed]
  11. Woodruff-Pak, D.S.; Foy, M.R.; Akopian, G.G.; Lee, K.H.; Zach, J.; Nguyen, K.P.; Comalli, D.M.; Kennard, J.A.; Agelan, A.; Thompson, R.F. Differential effects and rates of normal aging in cerebellum and hippocampus. Proc. Natl. Acad. Sci. USA 2010, 107, 1624–1629. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Horvath, S.; Mah, V.; Lu, A.T.; Woo, J.S.; Choi, O.W.; Jasinska, A.J.; Riancho, J.A.; Tung, S.; Coles, N.S.; Braun, J.; et al. The cerebellum ages slowly according to the epigenetic clock. Aging (Albany NY) 2015, 7, 294–306. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Andreasen, N.C.; Pierson, R. The role of the cerebellum in schizophrenia. Biol. Psychiatry 2008, 64, 81–88. [Google Scholar] [CrossRef] [Green Version]
  14. Smeets, C.J.; Verbeek, D.S. Cerebellar ataxia and functional genomics: Identifying the routes to cerebellar neurodegeneration. Biochim. Biophys. Acta 2014, 1842, 2030–2038. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Bates, G.P.; Dorsey, R.; Gusella, J.F.; Hayden, M.R.; Kay, C.; Leavitt, B.R.; Nance, M.; Ross, C.A.; Scahill, R.I.; Wetzel, R.; et al. Huntington disease. Nat. Rev. Dis. Prim. 2015, 1, 15005. [Google Scholar] [CrossRef] [PubMed]
  16. Rodriguez-Aguilera, J.R.; Ecsedi, S.; Goldsmith, C.; Cros, M.P.; Dominguez-Lopez, M.; Guerrero-Celis, N.; Perez-Cabeza de Vaca, R.; Chemin, I.; Recillas-Targa, F.; Chagoya de Sanchez, V.; et al. Genome-wide 5-hydroxymethylcytosine (5hmC) emerges at early stage of in vitro differentiation of a putative hepatocyte progenitor. Sci. Rep. 2020, 10, 7822. [Google Scholar] [CrossRef] [PubMed]
  17. Stoyanova, E.; Riad, M.; Rao, A.; Heintz, N. 5-Hydroxymethylcytosine-mediated active demethylation is required for mammalian neuronal differentiation and function. eLife 2021, 10, e66973. [Google Scholar] [CrossRef] [PubMed]
  18. Schlosberg, C.E.; Wu, D.Y.; Gabel, H.W.; Edwards, J.R. ME-Class2 reveals context dependent regulatory roles for 5-hydroxymethylcytosine. Nucleic Acids Res. 2019, 47, e28. [Google Scholar] [CrossRef] [PubMed]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Liu, X.; Li, X.-J.; Lin, L. Dynamic 5-Hydroxymethylcytosine Change: Implication for Aging of Non-Human Primate Brain. Epigenomes 2022, 6, 41. https://doi.org/10.3390/epigenomes6040041

AMA Style

Liu X, Li X-J, Lin L. Dynamic 5-Hydroxymethylcytosine Change: Implication for Aging of Non-Human Primate Brain. Epigenomes. 2022; 6(4):41. https://doi.org/10.3390/epigenomes6040041

Chicago/Turabian Style

Liu, Xiaodong, Xiao-Jiang Li, and Li Lin. 2022. "Dynamic 5-Hydroxymethylcytosine Change: Implication for Aging of Non-Human Primate Brain" Epigenomes 6, no. 4: 41. https://doi.org/10.3390/epigenomes6040041

Article Metrics

Back to TopTop