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Griffin PT, Kane AE, Trapp A, Li J, Arnold M, Poganik JR, Conway RJ, McNamara MS, Meer MV, Hoffman N, Amorim JA, Tian X, MacArthur MR, Mitchell SJ, Mueller AL, Carmody C, Vera DL, Kerepesi C, Ying K, Noren Hooten N, Mitchell JR, Evans MK, Gladyshev VN, Sinclair DA. TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction. NATURE AGING 2024; 4:261-274. [PMID: 38200273 PMCID: PMC11332592 DOI: 10.1038/s43587-023-00555-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 12/05/2023] [Indexed: 01/12/2024]
Abstract
Epigenetic 'clocks' based on DNA methylation have emerged as the most robust and widely used aging biomarkers, but conventional methods for applying them are expensive and laborious. Here we develop tagmentation-based indexing for methylation sequencing (TIME-seq), a highly multiplexed and scalable method for low-cost epigenetic clocks. Using TIME-seq, we applied multi-tissue and tissue-specific epigenetic clocks in over 1,800 mouse DNA samples from eight tissue and cell types. We show that TIME-seq clocks are accurate and robust, enriched for polycomb repressive complex 2-regulated loci, and benchmark favorably against conventional methods despite being up to 100-fold less expensive. Using dietary treatments and gene therapy, we find that TIME-seq clocks reflect diverse interventions in multiple tissues. Finally, we develop an economical human blood clock (R > 0.96, median error = 3.39 years) in 1,056 demographically representative individuals. These methods will enable more efficient epigenetic clock measurement in larger-scale human and animal studies.
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Affiliation(s)
- Patrick T Griffin
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Alice E Kane
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Institute for Systems Biology, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Alexandre Trapp
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jien Li
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Matthew Arnold
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Jesse R Poganik
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Ryan J Conway
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Maeve S McNamara
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Margarita V Meer
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Noah Hoffman
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - João A Amorim
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Xiao Tian
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Michael R MacArthur
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Sarah J Mitchell
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
- Ludwig Princeton Branch, Princeton University, Princeton, NJ, USA
| | - Amber L Mueller
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Cell Metabolism, Cell Press, Cambridge, MA, USA
| | - Colleen Carmody
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Daniel L Vera
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Csaba Kerepesi
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Institute for Computer Science and Control, Eötvös Loránd Research Network, Budapest, Hungary
| | - Kejun Ying
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - James R Mitchell
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Vadim N Gladyshev
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - David A Sinclair
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA.
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2
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Roy R, Kuo PL, Candia J, Sarantopoulou D, Ubaida-Mohien C, Hernandez D, Kaileh M, Arepalli S, Singh A, Bektas A, Kim J, Moore AZ, Tanaka T, McKelvey J, Zukley L, Nguyen C, Wallace T, Dunn C, Wood W, Piao Y, Coletta C, De S, Sen J, Weng NP, Sen R, Ferrucci L. Epigenetic signature of human immune aging in the GESTALT study. eLife 2023; 12:e86136. [PMID: 37589453 PMCID: PMC10506794 DOI: 10.7554/elife.86136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 08/16/2023] [Indexed: 08/18/2023] Open
Abstract
Age-associated DNA methylation in blood cells convey information on health status. However, the mechanisms that drive these changes in circulating cells and their relationships to gene regulation are unknown. We identified age-associated DNA methylation sites in six purified blood-borne immune cell types (naive B, naive CD4+ and CD8+ T cells, granulocytes, monocytes, and NK cells) collected from healthy individuals interspersed over a wide age range. Of the thousands of age-associated sites, only 350 sites were differentially methylated in the same direction in all cell types and validated in an independent longitudinal cohort. Genes close to age-associated hypomethylated sites were enriched for collagen biosynthesis and complement cascade pathways, while genes close to hypermethylated sites mapped to neuronal pathways. In silico analyses showed that in most cell types, the age-associated hypo- and hypermethylated sites were enriched for ARNT (HIF1β) and REST transcription factor (TF) motifs, respectively, which are both master regulators of hypoxia response. To conclude, despite spatial heterogeneity, there is a commonality in the putative regulatory role with respect to TF motifs and histone modifications at and around these sites. These features suggest that DNA methylation changes in healthy aging may be adaptive responses to fluctuations of oxygen availability.
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Affiliation(s)
- Roshni Roy
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Pei-Lun Kuo
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Julián Candia
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Dimitra Sarantopoulou
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | | | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on AgingBethesdaUnited States
| | - Mary Kaileh
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Sampath Arepalli
- Laboratory of Neurogenetics, National Institute on AgingBethesdaUnited States
| | - Amit Singh
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Arsun Bektas
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Jaekwan Kim
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Ann Z Moore
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Julia McKelvey
- Clinical Research Core, National Institute on AgingBaltimoreUnited States
| | - Linda Zukley
- Clinical Research Core, National Institute on AgingBaltimoreUnited States
| | - Cuong Nguyen
- Flow Cytometry Unit, National Institute on AgingBaltimoreUnited States
| | - Tonya Wallace
- Flow Cytometry Unit, National Institute on AgingBaltimoreUnited States
| | - Christopher Dunn
- Flow Cytometry Unit, National Institute on AgingBaltimoreUnited States
| | - William Wood
- Laboratory of Genetics and Genomics, National Institute on AgingBaltimoreUnited States
| | - Yulan Piao
- Laboratory of Genetics and Genomics, National Institute on AgingBaltimoreUnited States
| | - Christopher Coletta
- Laboratory of Genetics and Genomics, National Institute on AgingBaltimoreUnited States
| | - Supriyo De
- Laboratory of Genetics and Genomics, National Institute on AgingBaltimoreUnited States
| | - Jyoti Sen
- Laboratory of Clinical Investigation, National Institute on AgingBaltimoreUnited States
| | - Nan-ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Ranjan Sen
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
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3
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Minteer CJ, Thrush K, Gonzalez J, Niimi P, Rozenblit M, Rozowsky J, Liu J, Frank M, McCabe T, Sehgal R, Higgins-Chen AT, Hofstatter E, Pusztai L, Beckman K, Gerstein M, Levine ME. More than bad luck: Cancer and aging are linked to replication-driven changes to the epigenome. SCIENCE ADVANCES 2023; 9:eadf4163. [PMID: 37467337 PMCID: PMC10355820 DOI: 10.1126/sciadv.adf4163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 06/15/2023] [Indexed: 07/21/2023]
Abstract
Aging is a leading risk factor for cancer. While it is proposed that age-related accumulation of somatic mutations drives this relationship, it is likely not the full story. We show that aging and cancer share a common epigenetic replication signature, which we modeled using DNA methylation from extensively passaged immortalized human cells in vitro and tested on clinical tissues. This signature, termed CellDRIFT, increased with age across multiple tissues, distinguished tumor from normal tissue, was escalated in normal breast tissue from cancer patients, and was transiently reset upon reprogramming. In addition, within-person tissue differences were correlated with predicted lifetime tissue-specific stem cell divisions and tissue-specific cancer risk. Our findings suggest that age-related replication may drive epigenetic changes in cells and could push them toward a more tumorigenic state.
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Affiliation(s)
| | - Kyra Thrush
- Department of Pathology, Yale School of Medicine,
New Haven, CT, USA
- San Diego Institute of Science, Altos Labs, San
Diego, CA, USA
| | - John Gonzalez
- Department of Pathology, Yale School of Medicine,
New Haven, CT, USA
| | - Peter Niimi
- Department of Pathology, Yale School of Medicine,
New Haven, CT, USA
- San Diego Institute of Science, Altos Labs, San
Diego, CA, USA
| | - Mariya Rozenblit
- Department of Internal Medicine, Section of
Medical Oncology, Yale School of Medicine, New Haven, CT, USA
| | - Joel Rozowsky
- Department of Molecular Biophysics and
Biochemistry, Yale University, New Haven, CT, USA
| | - Jason Liu
- Department of Molecular Biophysics and
Biochemistry, Yale University, New Haven, CT, USA
| | - Mor Frank
- Department of Molecular Biophysics and
Biochemistry, Yale University, New Haven, CT, USA
| | - Thomas McCabe
- Department of Pathology, Yale School of Medicine,
New Haven, CT, USA
| | - Raghav Sehgal
- Department of Pathology, Yale School of Medicine,
New Haven, CT, USA
| | | | - Erin Hofstatter
- Department of Internal Medicine, Section of
Medical Oncology, Yale School of Medicine, New Haven, CT, USA
| | - Lajos Pusztai
- Department of Internal Medicine, Section of
Medical Oncology, Yale School of Medicine, New Haven, CT, USA
| | - Kenneth Beckman
- Biomedical Genomics Center, University of
Minnesota, Minneapolis, MN, USA
| | - Mark Gerstein
- Department of Molecular Biophysics and
Biochemistry, Yale University, New Haven, CT, USA
| | - Morgan E. Levine
- Department of Pathology, Yale School of Medicine,
New Haven, CT, USA
- San Diego Institute of Science, Altos Labs, San
Diego, CA, USA
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4
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Gems D. The hyperfunction theory: An emerging paradigm for the biology of aging. Ageing Res Rev 2022; 74:101557. [PMID: 34990845 PMCID: PMC7612201 DOI: 10.1016/j.arr.2021.101557] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/24/2021] [Accepted: 12/30/2021] [Indexed: 12/13/2022]
Abstract
The process of senescence (aging) is predominantly determined by the action of wild-type genes. For most organisms, this does not reflect any adaptive function that senescence serves, but rather evolutionary effects of declining selection against genes with deleterious effects later in life. To understand aging requires an account of how evolutionary mechanisms give rise to pathogenic gene action and late-life disease, that integrates evolutionary (ultimate) and mechanistic (proximate) causes into a single explanation. A well-supported evolutionary explanation by G.C. Williams argues that senescence can evolve due to pleiotropic effects of alleles with antagonistic effects on fitness and late-life health (antagonistic pleiotropy, AP). What has remained unclear is how gene action gives rise to late-life disease pathophysiology. One ultimate-proximate account is T.B.L. Kirkwood's disposable soma theory. Based on the hypothesis that stochastic molecular damage causes senescence, this reasons that aging is coupled to reproductive fitness due to preferential investment of resources into reproduction, rather than somatic maintenance. An alternative and more recent ultimate-proximate theory argues that aging is largely caused by programmatic, developmental-type mechanisms. Here ideas about AP and programmatic aging are reviewed, particularly those of M.V. Blagosklonny (the hyperfunction theory) and J.P. de Magalhães (the developmental theory), and their capacity to make sense of diverse experimental findings is assessed.
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Affiliation(s)
- David Gems
- Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.
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5
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Galow AM, Peleg S. How to Slow down the Ticking Clock: Age-Associated Epigenetic Alterations and Related Interventions to Extend Life Span. Cells 2022; 11:468. [PMID: 35159278 PMCID: PMC8915189 DOI: 10.3390/cells11030468] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 01/26/2022] [Indexed: 02/04/2023] Open
Abstract
Epigenetic alterations pose one major hallmark of organismal aging. Here, we provide an overview on recent findings describing the epigenetic changes that arise during aging and in related maladies such as neurodegeneration and cancer. Specifically, we focus on alterations of histone modifications and DNA methylation and illustrate the link with metabolic pathways. Age-related epigenetic, transcriptional and metabolic deregulations are highly interconnected, which renders dissociating cause and effect complicated. However, growing amounts of evidence support the notion that aging is not only accompanied by epigenetic alterations, but also at least in part induced by those. DNA methylation clocks emerged as a tool to objectively determine biological aging and turned out as a valuable source in search of factors positively and negatively impacting human life span. Moreover, specific epigenetic signatures can be used as biomarkers for age-associated disorders or even as targets for therapeutic approaches, as will be covered in this review. Finally, we summarize recent potential intervention strategies that target epigenetic mechanisms to extend healthy life span and provide an outlook on future developments in the field of longevity research.
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Affiliation(s)
- Anne-Marie Galow
- Institute for Genome Biology, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany
| | - Shahaf Peleg
- Research Group Epigenetics, Metabolism and Longevity, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany
- Institute of Neuroregeneration and Neurorehabilitation of Qingdao University, Qingdao 266071, China
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6
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Horvath S, Haghani A, Macoretta N, Ablaeva J, Zoller JA, Li CZ, Zhang J, Takasugi M, Zhao Y, Rydkina E, Zhang Z, Emmrich S, Raj K, Seluanov A, Faulkes CG, Gorbunova V. DNA methylation clocks tick in naked mole rats but queens age more slowly than nonbreeders. NATURE AGING 2022; 2:46-59. [PMID: 35368774 PMCID: PMC8975251 DOI: 10.1038/s43587-021-00152-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
Naked mole rats (NMRs) live an exceptionally long life, appear not to exhibit age-related decline in physiological capacity and are resistant to age-related diseases. However, it has been unknown whether NMRs also evade aging according to a primary hallmark of aging: epigenetic changes. To address this question, we profiled n = 385 samples from 11 tissue types at loci that are highly conserved between mammalian species using a custom array (HorvathMammalMethylChip40). We observed strong epigenetic aging effects and developed seven highly accurate epigenetic clocks for several tissues (pan-tissue, blood, kidney, liver, skin clocks) and two dual-species (human-NMR) clocks. The skin clock correctly estimated induced pluripotent stem cells derived from NMR fibroblasts to be of prenatal age. The NMR epigenetic clocks revealed that breeding NMR queens age more slowly than nonbreeders, a feature that is also observed in some eusocial insects. Our results show that despite a phenotype of negligible senescence, the NMR ages epigenetically.
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Affiliation(s)
- Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
- Altos Labs, San Diego, CA, USA
- These authors contributed equally: Steve Horvath, Amin Haghani
| | - Amin Haghani
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- These authors contributed equally: Steve Horvath, Amin Haghani
| | - Nicholas Macoretta
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - Julia Ablaeva
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - Joseph A. Zoller
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Caesar Z. Li
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Joshua Zhang
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Masaki Takasugi
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - Yang Zhao
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - Elena Rydkina
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - Zhihui Zhang
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - Stephan Emmrich
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
| | - Ken Raj
- Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, UK
| | - Andrei Seluanov
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
- These authors jointly supervised this work: Andrei Seluanov, Chris G. Faulkes, Vera Gorbunova
| | - Chris G. Faulkes
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
- These authors jointly supervised this work: Andrei Seluanov, Chris G. Faulkes, Vera Gorbunova
| | - Vera Gorbunova
- Departments of Biology and Medicine, University of Rochester, Rochester, NY, USA
- These authors jointly supervised this work: Andrei Seluanov, Chris G. Faulkes, Vera Gorbunova
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7
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Padmasekar M, Savai R, Seeger W, Pullamsetti SS. Exposomes to Exosomes: Exosomes as Tools to Study Epigenetic Adaptive Mechanisms in High-Altitude Humans. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:8280. [PMID: 34444030 PMCID: PMC8392481 DOI: 10.3390/ijerph18168280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/30/2021] [Accepted: 07/31/2021] [Indexed: 12/29/2022]
Abstract
Humans on earth inhabit a wide range of environmental conditions and some environments are more challenging for human survival than others. However, many living beings, including humans, have developed adaptive mechanisms to live in such inhospitable, harsh environments. Among different difficult environments, high-altitude living is especially demanding because of diminished partial pressure of oxygen and resulting chronic hypobaric hypoxia. This results in poor blood oxygenation and reduces aerobic oxidative respiration in the mitochondria, leading to increased reactive oxygen species generation and activation of hypoxia-inducible gene expression. Genetic mechanisms in the adaptation to high altitude is well-studied, but there are only limited studies regarding the role of epigenetic mechanisms. The purpose of this review is to understand the epigenetic mechanisms behind high-altitude adaptive and maladaptive phenotypes. Hypobaric hypoxia is a form of cellular hypoxia, which is similar to the one suffered by critically-ill hypoxemia patients. Thus, understanding the adaptive epigenetic signals operating in in high-altitude adjusted indigenous populations may help in therapeutically modulating signaling pathways in hypoxemia patients by copying the most successful epigenotype. In addition, we have summarized the current information about exosomes in hypoxia research and prospects to use them as diagnostic tools to study the epigenome of high-altitude adapted healthy or maladapted individuals.
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Affiliation(s)
- Manju Padmasekar
- Max-Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), 61231 Bad Nauheim, Germany; (M.P.); (R.S.); (W.S.)
| | - Rajkumar Savai
- Max-Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), 61231 Bad Nauheim, Germany; (M.P.); (R.S.); (W.S.)
- Institute for Lung Health (ILH), Justus Liebig University, 35392 Giessen, Germany
- Department of Internal Medicine, Justus-Liebig University Giessen, Member of the DZL, Member of CPI, 35392 Giessen, Germany
- Frankfurt Cancer Institute (FCI), Goethe University, 60438 Frankfurt am Main, Germany
| | - Werner Seeger
- Max-Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), 61231 Bad Nauheim, Germany; (M.P.); (R.S.); (W.S.)
- Institute for Lung Health (ILH), Justus Liebig University, 35392 Giessen, Germany
- Department of Internal Medicine, Justus-Liebig University Giessen, Member of the DZL, Member of CPI, 35392 Giessen, Germany
| | - Soni Savai Pullamsetti
- Max-Planck Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Member of the Cardio-Pulmonary Institute (CPI), 61231 Bad Nauheim, Germany; (M.P.); (R.S.); (W.S.)
- Institute for Lung Health (ILH), Justus Liebig University, 35392 Giessen, Germany
- Department of Internal Medicine, Justus-Liebig University Giessen, Member of the DZL, Member of CPI, 35392 Giessen, Germany
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8
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Ageing affects subtelomeric DNA methylation in blood cells from a large European population enrolled in the MARK-AGE study. GeroScience 2021; 43:1283-1302. [PMID: 33870444 PMCID: PMC8190237 DOI: 10.1007/s11357-021-00347-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 02/23/2021] [Indexed: 11/23/2022] Open
Abstract
Ageing leaves characteristic traces in the DNA methylation make-up of the genome. However, the importance of DNA methylation in ageing remains unclear. The study of subtelomeric regions could give promising insights into this issue. Previously reported associations between susceptibility to age-related diseases and epigenetic instability at subtelomeres suggest that the DNA methylation profile of subtelomeres undergoes remodelling during ageing. In the present work, this hypothesis has been tested in the context of the European large-scale project MARK-AGE. In this cross-sectional study, we profiled the DNA methylation of chromosomes 5 and 21 subtelomeres, in more than 2000 age-stratified women and men recruited in eight European countries. The study included individuals from the general population as well as the offspring of nonagenarians and Down syndrome subjects, who served as putative models of delayed and accelerated ageing, respectively. Significant linear changes of subtelomeric DNA methylation with increasing age were detected in the general population, indicating that subtelomeric DNA methylation changes are typical signs of ageing. Data also show that, compared to the general population, the dynamics of age-related DNA methylation changes are attenuated in the offspring of centenarian, while they accelerate in Down syndrome individuals. This result suggests that subtelomeric DNA methylation changes reflect the rate of ageing progression. We next attempted to trace the age-related changes of subtelomeric methylation back to the influence of diverse variables associated with methylation variations in the population, including demographics, dietary/health habits and clinical parameters. Results indicate that the effects of age on subtelomeric DNA methylation are mostly independent of all other variables evaluated.
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9
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Mei J, Tian H, Huang HS, Hsu CF, Liou Y, Wu N, Zhang W, Chu TY. Cellular models of development of ovarian high-grade serous carcinoma: A review of cell of origin and mechanisms of carcinogenesis. Cell Prolif 2021; 54:e13029. [PMID: 33768671 PMCID: PMC8088460 DOI: 10.1111/cpr.13029] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 02/19/2021] [Accepted: 03/03/2021] [Indexed: 12/11/2022] Open
Abstract
High-grade serous carcinoma (HGSC) is the most common and malignant histological type of epithelial ovarian cancer, the origin of which remains controversial. Currently, the secretory epithelial cells of the fallopian tube are regarded as the main origin and the ovarian surface epithelial cells as a minor origin. In tubal epithelium, these cells acquire TP53 mutations and expand to a morphologically normal 'p53 signature' lesion, transform to serous tubal intraepithelial carcinoma and metastasize to the ovaries and peritoneum where they develop into HGSC. This shifting paradigm of the main cell of origin has revolutionarily changed the focus of HGSC research. Various cell lines have been derived from the two cellular origins by acquiring immortalization via overexpression of hTERT plus disruption of TP53 and the CDK4/RB pathway. Malignant transformation was achieved by adding canonical driver mutations (such as gain of CCNE1) revealed by The Cancer Genome Atlas or by noncanonical gain of YAP and miR181a. Alternatively, because of the extreme chromosomal instability, spontaneous transformation can be achieved by long passage of murine immortalized cells, whereas in humans, it requires ovulatory follicular fluid, containing regenerating growth factors to facilitate spontaneous transformation. These artificially and spontaneously transformed cell systems in both humans and mice have been widely used to discover carcinogens, oncogenic pathways and malignant behaviours in the development of HGSC. Here, we review the origin, aetiology and carcinogenic mechanism of HGSC and comprehensively summarize the cell models used to study this fatal cancer having multiple cells of origin and overt genomic instability.
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Affiliation(s)
- Jie Mei
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Huixiang Tian
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Hsuan-Shun Huang
- Center for Prevention and Therapy of Gynecological Cancers, Department of Research, Buddhist Tzu Chi General Hospital, Hualien, Taiwan, ROC
| | - Che-Fang Hsu
- Center for Prevention and Therapy of Gynecological Cancers, Department of Research, Buddhist Tzu Chi General Hospital, Hualien, Taiwan, ROC
| | - Yuligh Liou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China
| | - Nayiyuan Wu
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Tang-Yuan Chu
- Center for Prevention and Therapy of Gynecological Cancers, Department of Research, Buddhist Tzu Chi General Hospital, Hualien, Taiwan, ROC.,Department of Obstetrics & Gynecology, Buddhist Tzu Chi General Hospital, Hualien, Taiwan, ROC.,Department of Life Sciences, Tzu Chi University, Hualien, Taiwan, ROC
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10
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He X, Liu J, Liu B, Shi J. The use of DNA methylation clock in aging research. Exp Biol Med (Maywood) 2020; 246:436-446. [PMID: 33175612 DOI: 10.1177/1535370220968802] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
One of the key characteristics of aging is a progressive loss of physiological integrity, which weakens bodily functions and increases the risk of death. A robust biomarker is important for the assessment of biological age, the rate of aging, and a person's health status. DNA methylation clocks, novel biomarkers of aging, are composed of a group of cytosine-phosphate-guanine dinucleotides, the DNA methylation status of which can be used to accurately measure subjective age. These clocks are considered accurate biomarkers of chronological age for humans and other vertebrates. Numerous studies have demonstrated these clocks to quantify the rate of biological aging and the effects of longevity and anti-aging interventions. In this review, we describe the purpose and use of DNA methylation clocks in aging research.
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Affiliation(s)
- Xi He
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, 66367Zunyi Medical University, Zunyi 563003, China
| | - Jiaojiao Liu
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, 66367Zunyi Medical University, Zunyi 563003, China
| | - Bo Liu
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, 66367Zunyi Medical University, Zunyi 563003, China
| | - Jingshan Shi
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, 66367Zunyi Medical University, Zunyi 563003, China
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11
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Moysenovich AM, Moisenovich MM, Sudina AK, Tatarskiy VV, Khamidullina AI, Yastrebova MA, Davydova LI, Bogush VG, Debabov VG, Arkhipova AY, Shaitan KV, Shtil AA, Demina IA. Recombinant Spidroin Films Attenuate Individual Markers of Glucose Induced Aging in NIH 3T3 Fibroblasts. BIOCHEMISTRY (MOSCOW) 2020; 85:808-819. [PMID: 33040725 DOI: 10.1134/s0006297920070093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The effect of bioresorbable materials on aging in cultured mouse NIH 3T3 fibroblasts treated with elevated glucose concentration was investigated. The cells were grown on films produced from the silkworm fibroin and rS1/9, a recombinant analog of Nephila clavipes spidroin 1. Exposure to 50 mM glucose of the cells grown on uncoated glass support resulted in the cell growth retardation. The average areas of the cells and nuclei and the percentage of apoptotic cells increased, whereas the amount of soluble collagen decreased. In contrast, on the fibroin and spidroin films, the cell density and the percentage of 5-bromo-2'-deoxyuridine (BrdU)-positive cells were higher vs. the cells grown on the glass support. The films protected NIH 3T3 fibroblasts from the glucose-induced death. The most prominent effects on the cell density, BrdU incorporation, and apoptosis prevention were observed in the cells cultured on spidroin films. Unlike the cells grown on glass support (decrease in the soluble collagen production) or fibroin (no effect), production of soluble collagen by the cells grown on spidroin films increased after cell exposure to 50 mM glucose. Molecular analysis demonstrated that 50 mM glucose upregulated phosphorylation of the NFκB heterodimer p65 subunit in the cells grown on the glass support. The treatment of cells grown on fibroin films with 5.5 mM or 50 mM glucose had no effect on p65 phosphorylation. The same treatment decreased p65 phosphorylation in the cells on the spidroin films. These results demonstrate the anti-aging efficacy of biomaterials derived from the silk proteins and suggest that spidroin is more advantageous for tissue engineering and therapy than fibroin.
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Affiliation(s)
- A M Moysenovich
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
| | - M M Moisenovich
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.
| | - A K Sudina
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
| | - V V Tatarskiy
- Blokhin National Medical Research Center of Oncology, Moscow, 115478, Russia.,Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia.,National University of Science and Technology "MISiS", Moscow, 119049, Russia
| | - A I Khamidullina
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia
| | - M A Yastrebova
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia
| | - L I Davydova
- NRC "Kurchatov Institute" - GOSNIIGENETIKA, Moscow, 117519, Russia.,NRC "Kurchatov Institute", Moscow, 123182, Russia
| | - V G Bogush
- NRC "Kurchatov Institute" - GOSNIIGENETIKA, Moscow, 117519, Russia.,NRC "Kurchatov Institute", Moscow, 123182, Russia
| | - V G Debabov
- NRC "Kurchatov Institute" - GOSNIIGENETIKA, Moscow, 117519, Russia.,NRC "Kurchatov Institute", Moscow, 123182, Russia
| | - A Yu Arkhipova
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.,Moscow Regional Research and Clinical Institute (MONIKI), Moscow, 129110, Russia
| | - K V Shaitan
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.,Semenov Institute of Chemical Physics, Russian Academy of Sciences, Moscow, 119991, Russia
| | - A A Shtil
- Blokhin National Medical Research Center of Oncology, Moscow, 115478, Russia.,Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia
| | - I A Demina
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.,Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, 117198, Russia
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12
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Matsuyama S. Mechanisms of aging, age-associated diseases, and lifespan determination. Exp Biol Med (Maywood) 2020; 245:1529-1531. [PMID: 32903037 DOI: 10.1177/1535370220955146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Shigemi Matsuyama
- Division of Hematology and Oncology, Department of Medicine School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.,Case Comprehensive Cancer Center, Cleveland, OH, 44106, USA
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13
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Matsuyama M, Søraas A, Yu S, Kim K, Stavrou EX, Caimi PF, Wald D, deLima M, Dahl JA, Horvath S, Matsuyama S. Analysis of epigenetic aging in vivo and in vitro: Factors controlling the speed and direction. Exp Biol Med (Maywood) 2020; 245:1543-1551. [PMID: 32762265 DOI: 10.1177/1535370220947015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
IMPACT STATEMENT Aging is associated with DNA methylation (DNAm) changes. Recent advancement of the whole-genome DNAm analysis technology allowed scientists to develop DNAm-based age estimators. A majority of these estimators use DNAm data from a single tissue type such as blood. In 2013, a multi-tissue age estimator using DNAm pattern of 353 CpGs was developed by Steve Horvath. This estimator was named "epigenetic clock", and the improved version using DNAm pattern of 391 CpGs was developed in 2018. The estimated age by epigenetic clock is named DNAmAge. DNAmAge can be used as a biomarker of aging predicting the risk of age-associated diseases and mortality. Although the DNAm-based age estimators were developed, the mechanism of epigenetic aging is still enigmatic. The biological significance of epigenetic aging is not well understood, either. This minireview discusses the current understanding of the mechanism of epigenetic aging and the future direction of aging research.
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Affiliation(s)
- Mieko Matsuyama
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
| | - Arne Søraas
- Department of Microbiology, Oslo University Hospital, Case Comprehensive Cancer Center, Oslo 0372, Norway
| | - Sarah Yu
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
| | - Kyuhyeon Kim
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
| | - Evi X Stavrou
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
| | - Paolo F Caimi
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
| | - David Wald
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA.,Department of Microbiology, Oslo University Hospital, Case Comprehensive Cancer Center, Oslo 0372, Norway
| | - Marcos deLima
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
| | - John A Dahl
- Department of Microbiology, Oslo University Hospital, Case Comprehensive Cancer Center, Oslo 0372, Norway
| | - Steve Horvath
- Department of Pathology, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA.,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Shigemi Matsuyama
- Division of Hematology and Oncology, Department of Medicine, School of Medicine, Case Western Reserve University and University Hospitals, Case Comprehensive Cancer Center, Cleveland, OH 44106, USA
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14
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Boroni M, Zonari A, Reis de Oliveira C, Alkatib K, Ochoa Cruz EA, Brace LE, Lott de Carvalho J. Highly accurate skin-specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging. Clin Epigenetics 2020; 12:105. [PMID: 32660606 PMCID: PMC7359467 DOI: 10.1186/s13148-020-00899-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 07/03/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND DNA methylation (DNAm) age constitutes a powerful tool to assess the molecular age and overall health status of biological samples. Recently, it has been shown that tissue-specific DNAm age predictors may present superior performance compared to the pan- or multi-tissue counterparts. The skin is the largest organ in the body and bears important roles, such as body temperature control, barrier function, and protection from external insults. As a consequence of the constant and intimate interaction between the skin and the environment, current DNAm estimators, routinely trained using internal tissues which are influenced by other stimuli, are mostly inadequate to accurately predict skin DNAm age. RESULTS In the present study, we developed a highly accurate skin-specific DNAm age predictor, using DNAm data obtained from 508 human skin samples. Based on the analysis of 2,266 CpG sites, we accurately calculated the DNAm age of cultured skin cells and human skin biopsies. Age estimation was sensitive to the biological age of the donor, cell passage, skin disease status, as well as treatment with senotherapeutic drugs. CONCLUSIONS This highly accurate skin-specific DNAm age predictor constitutes a holistic tool that will be of great use in the analysis of human skin health status/molecular aging, as well as in the analysis of the potential of established and novel compounds to alter DNAm age.
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Affiliation(s)
- Mariana Boroni
- Bioinformatics and Computational Biology Lab, Division of Experimental and Translational Research, Brazilian National Cancer Institute, Rio de Janeiro, RJ, 20231-050, Brazil.
- OneSkin Technologies, San Francisco, USA.
| | | | | | | | | | | | - Juliana Lott de Carvalho
- OneSkin Technologies, San Francisco, USA
- Genomic Sciences and Biotechnology Program, Catholic University of Brasilia, Brasilia, Brazil
- Faculty of Medicine, University of Brasilia, Brasilia, Brazil
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15
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Raj K, Horvath S. Current perspectives on the cellular and molecular features of epigenetic ageing. Exp Biol Med (Maywood) 2020; 245:1532-1542. [PMID: 32276545 DOI: 10.1177/1535370220918329] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
IMPACT STATEMENT The field of epigenetic ageing is relatively new, and the speed of its expansion presents a challenge in keeping abreast with new discoveries and their implications. Several reviews have already addressed the great number of pathologies, health conditions, life-style, and external stressors that are associated with changes to the rate of epigenetic ageing. While these associations highlight and affirm the ability of epigenetic clock to capture biologically meaningful changes associated with age, they do not inform us about the underlying mechanisms. In this very early period since the development of the clock, there have been rather limited experimental research that are aimed at uncovering the mechanism. Hence, the perspective that we proffer is derived from available but nevertheless limited lines of evidence that together provide a seemingly coherent narrative that can be tested. This, we believe would be helpful towards uncovering the workings of the epigenetic clock.
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Affiliation(s)
- Kenneth Raj
- Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, Didcot, Oxfordshire OX11 0RQ, UK
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, CA 90095, USA and Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, CA 90095, USA
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