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Sugrue VJ, Zoller JA, Narayan P, Lu AT, Ortega-Recalde OJ, Grant MJ, Bawden CS, Rudiger SR, Haghani A, Bond DM, Hore RR, Garratt M, Sears KE, Wang N, Yang XW, Snell RG, Hore TA, Horvath S. Castration delays epigenetic aging and feminizes DNA methylation at androgen-regulated loci. eLife 2021; 10:e64932. [PMID: 34227937 PMCID: PMC8260231 DOI: 10.7554/elife.64932] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 06/15/2021] [Indexed: 12/26/2022] Open
Abstract
In mammals, females generally live longer than males. Nevertheless, the mechanisms underpinning sex-dependent longevity are currently unclear. Epigenetic clocks are powerful biological biomarkers capable of precisely estimating chronological age and identifying novel factors influencing the aging rate using only DNA methylation data. In this study, we developed the first epigenetic clock for domesticated sheep (Ovis aries), which can predict chronological age with a median absolute error of 5.1 months. We have discovered that castrated male sheep have a decelerated aging rate compared to intact males, mediated at least in part by the removal of androgens. Furthermore, we identified several androgen-sensitive CpG dinucleotides that become progressively hypomethylated with age in intact males, but remain stable in castrated males and females. Comparable sex-specific methylation differences in MKLN1 also exist in bat skin and a range of mouse tissues that have high androgen receptor expression, indicating that it may drive androgen-dependent hypomethylation in divergent mammalian species. In characterizing these sites, we identify biologically plausible mechanisms explaining how androgens drive male-accelerated aging.
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Affiliation(s)
| | - Joseph Alan Zoller
- Department of Biostatistics, Fielding School of Public Health, University of California, Los AngelesLos AngelesUnited States
| | - Pritika Narayan
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, The University of AucklandAucklandNew Zealand
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
| | | | - Matthew J Grant
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, The University of AucklandAucklandNew Zealand
| | - C Simon Bawden
- Livestock and Farming Systems, South Australian Research and Development InstituteRoseworthyAustralia
| | - Skye R Rudiger
- Livestock and Farming Systems, South Australian Research and Development InstituteRoseworthyAustralia
| | - Amin Haghani
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
| | - Donna M Bond
- Department of Anatomy, University of OtagoDunedinNew Zealand
| | - Reuben R Hore
- Blackstone Hill Station, Becks, RD2OmakauNew Zealand
| | - Michael Garratt
- Department of Anatomy, University of OtagoDunedinNew Zealand
| | - Karen E Sears
- Department of Ecology and Evolutionary Biology, UCLALos AngelesUnited States
| | - Nan Wang
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA)Los AngelesUnited States
| | - Xiangdong William Yang
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA)Los AngelesUnited States
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLALos AngelesUnited States
| | - Russell G Snell
- Applied Translational Genetics Group, School of Biological Sciences, Centre for Brain Research, The University of AucklandAucklandNew Zealand
| | - Timothy A Hore
- Department of Anatomy, University of OtagoDunedinNew Zealand
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
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Multidimensional informatic deconvolution defines gender-specific roles of hypothalamic GIT2 in aging trajectories. Mech Ageing Dev 2019; 184:111150. [PMID: 31574270 DOI: 10.1016/j.mad.2019.111150] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 08/20/2019] [Accepted: 09/26/2019] [Indexed: 12/13/2022]
Abstract
In most species, females live longer than males. An understanding of this female longevity advantage will likely uncover novel anti-aging therapeutic targets. Here we investigated the transcriptomic responses in the hypothalamus - a key organ for somatic aging control - to the introduction of a simple aging-related molecular perturbation, i.e. GIT2 heterozygosity. Our previous work has demonstrated that GIT2 acts as a network controller of aging. A similar number of both total (1079-female, 1006-male) and gender-unique (577-female, 527-male) transcripts were significantly altered in response to GIT2 heterozygosity in early life-stage (2 month-old) mice. Despite a similar volume of transcriptomic disruption in females and males, a considerably stronger dataset coherency and functional annotation representation was observed for females. It was also evident that female mice possessed a greater resilience to pro-aging signaling pathways compared to males. Using a highly data-dependent natural language processing informatics pipeline, we identified novel functional data clusters that were connected by a coherent group of multifunctional transcripts. From these it was clear that females prioritized metabolic activity preservation compared to males to mitigate this pro-aging perturbation. These findings were corroborated by somatic metabolism analyses of living animals, demonstrating the efficacy of our new informatics pipeline.
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