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Guo X, Teschendorff AE. Epigenetic clocks and inflammaging: pitfalls caused by ignoring cell-type heterogeneity. GeroScience 2025:10.1007/s11357-025-01677-8. [PMID: 40299262 DOI: 10.1007/s11357-025-01677-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2025] [Accepted: 04/23/2025] [Indexed: 04/30/2025] Open
Affiliation(s)
- Xiaolong Guo
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Andrew E Teschendorff
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
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Sinke L, Beekman M, Raz Y, Gehrmann T, Moustakas I, Boulinguiez A, Lakenberg N, Suchiman E, Bogaards FA, Bizzarri D, van den Akker EB, Waldenberger M, Butler‐Browne G, Trollet C, de Groot CPGM, Heijmans BT, Slagboom PE. Tissue-specific methylomic responses to a lifestyle intervention in older adults associate with metabolic and physiological health improvements. Aging Cell 2025; 24:e14431. [PMID: 39618079 PMCID: PMC11984676 DOI: 10.1111/acel.14431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 10/24/2024] [Accepted: 11/14/2024] [Indexed: 04/12/2025] Open
Abstract
Across the lifespan, diet and physical activity profiles substantially influence immunometabolic health. DNA methylation, as a tissue-specific marker sensitive to behavioral change, may mediate these effects through modulation of transcription factor binding and subsequent gene expression. Despite this, few human studies have profiled DNA methylation and gene expression simultaneously in multiple tissues or examined how molecular levels react and interact in response to lifestyle changes. The Growing Old Together (GOTO) study is a 13-week lifestyle intervention in older adults, which imparted health benefits to participants. Here, we characterize the DNA methylation response to this intervention at over 750 thousand CpGs in muscle, adipose, and blood. Differentially methylated sites are enriched for active chromatin states, located close to relevant transcription factor binding sites, and associated with changing expression of insulin sensitivity genes and health parameters. In addition, measures of biological age are consistently reduced, with decreases in grimAge associated with observed health improvements. Taken together, our results identify responsive molecular markers and demonstrate their potential to measure progression and finetune treatment of age-related risks and diseases.
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Affiliation(s)
- Lucy Sinke
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
| | - Yotam Raz
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
| | - Thies Gehrmann
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
- Department of Bioscience Engineering, Research Group Environmental Ecology and Applied MicrobiologyUniversity of AntwerpAntwerpBelgium
| | - Ioannis Moustakas
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
- Sequencing Analysis Support Core, Department of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
| | - Alexis Boulinguiez
- Myology Center for Research, U974Sorbonne Université, INSERM, AIM, GH Pitié Salpêtrière Bat BabinskiParisFrance
| | - Nico Lakenberg
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
| | - Eka Suchiman
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
| | - Fatih A. Bogaards
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
- Division of Human NutritionWageningen University and ResearchWageningenThe Netherlands
| | - Daniele Bizzarri
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
- Delft Bioinformatics Lab, Pattern Recognition and BioinformaticsDelftThe Netherlands
| | - Erik B. van den Akker
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
- Delft Bioinformatics Lab, Pattern Recognition and BioinformaticsDelftThe Netherlands
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of EpidemiologyHelmholtz Munich, German Research Center for Environmental HealthNeuherbergGermany
- German Center for Cardiovascular Research (DZHK)Partner Site Munich Heart AllianceMunichGermany
| | - Gillian Butler‐Browne
- Myology Center for Research, U974Sorbonne Université, INSERM, AIM, GH Pitié Salpêtrière Bat BabinskiParisFrance
| | - Capucine Trollet
- Myology Center for Research, U974Sorbonne Université, INSERM, AIM, GH Pitié Salpêtrière Bat BabinskiParisFrance
| | - C. P. G. M. de Groot
- Division of Human NutritionWageningen University and ResearchWageningenThe Netherlands
| | - Bastiaan T. Heijmans
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
| | - P. Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CentreLeidenThe Netherlands
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Cribb L, Hodge AM, Southey MC, Giles GG, Milne RL, Dugué PA. Dietary factors and DNA methylation-based markers of ageing in 5310 middle-aged and older Australian adults. GeroScience 2025; 47:1685-1698. [PMID: 39298107 PMCID: PMC11978581 DOI: 10.1007/s11357-024-01341-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 09/05/2024] [Indexed: 09/21/2024] Open
Abstract
The role of nutrition in healthy ageing is acknowledged but details of optimal dietary composition are still uncertain. We aimed to investigate the cross-sectional associations between dietary exposures, including macronutrient composition, food groups, specific foods, and overall diet quality, with methylation-based markers of ageing. Blood DNA methylation data from 5310 participants (mean age 59 years) in the Melbourne Collaborative Cohort Study were used to calculate five methylation-based measures of ageing: PCGrimAge, PCPhenoAge, DunedinPACE, ZhangAge, TelomereAge. For a range of dietary exposures, we estimated (i) the 'equal-mass substitution effect', which quantifies the effect of adding the component of interest to the diet while keeping overall food mass constant, and (ii) the 'total effect', which quantifies the effect of adding the component of interest to the current diet. For 'equal-mass substitution effects', the strongest association for macronutrients was for fibre intake (e.g. DunedinPACE, per 12 g/day - 0.10 [standard deviations]; 95%CI - 0.15, - 0.05, p < 0.001). Associations were positive for protein (e.g. PCGrimAge, per 33 g/day 0.04; 95%CI 0.01-0.08, p = 0.005). For food groups, the evidence tended to be weak, though sugar-sweetened drinks showed positive associations, as did artificially-sweetened drinks (e.g. DunedinPACE, per 91 g/day 0.06, 95%CI 0.03-0.08, p < 0.001). 'Total effect' estimates were generally very similar. Scores reflecting overall diet quality suggested that healthier diets were associated with lower levels of ageing markers. High intakes of fibre and low intakes of protein and sweetened drinks, as well as overall healthy diets, showed the most consistent associations with lower methylation-based ageing in our study.
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Affiliation(s)
- Lachlan Cribb
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
| | - Graham G Giles
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Roger L Milne
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Pierre-Antoine Dugué
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia.
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
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Mozhui K, Starlard-Davenport A, Sun Y, Shadyab AH, Casanova R, Thomas F, Wallace RB, Fowke JH, Johnson KC. Epigenetic entropy, social disparity, and health and lifespan in the Women's Health Initiative. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.02.21.25322696. [PMID: 40061325 PMCID: PMC11888519 DOI: 10.1101/2025.02.21.25322696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/17/2025]
Abstract
The pace of aging varies between individuals and is marked by changes in DNA methylation (DNAm) including an increase in randomness or entropy. Here, we computed epigenetic scores of aging and entropy using DNAm datasets from the Women's Health Initiative (WHI). We investigated how different epigenetic aging metrics relate to demographic and health variables, and mortality risk. Income and education, two proxies of socioeconomics (SE), had consistent associations with epigenetic aging and entropy. Notably, stochastic increases in DNAm at sites targeted by the polycomb proteins were significantly related to both aging and SE. While higher income was associated with reduced age-related DNAm changes in White women, the protective effect of income was diminished in Black and Hispanic women, and on average, Black and Hispanic women had relatively more aged epigenomes. Faster pace of aging, as estimated by the DunedinPACE, predicted higher mortality risk, while the maintenance of methylation at enhancer regions was associated with improved survival. Our findings demonstrate close ties between social and economic factors and aspects of epigenetic aging, suggesting potential biological mechanisms through which societal disparities may contribute to differences in health outcomes and lifespan across demographic groups.
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Affiliation(s)
- Khyobeni Mozhui
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
- Department of Genetics, Genomics and Informatics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Athena Starlard-Davenport
- Department of Genetics, Genomics and Informatics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Yangbo Sun
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science and Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Ramon Casanova
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Fridtjof Thomas
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Robert B Wallace
- College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Jay H Fowke
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Karen C Johnson
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
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Sullivan J, Nicholson T, Hazeldine J, Moiemen N, Lord JM. Accelerated epigenetic ageing after burn injury. GeroScience 2025:10.1007/s11357-024-01433-4. [PMID: 39821820 DOI: 10.1007/s11357-024-01433-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Accepted: 11/09/2024] [Indexed: 01/19/2025] Open
Abstract
Individuals who suffer a major burn injury are at higher risk of developing a range of age-associated diseases prematurely leading to an increase in mortality in adult and juvenile burn injury survivors. One possible explanation is that injury is accelerating the biological ageing process. To test this hypothesis, we analysed DNA methylation in peripheral blood mononuclear cells from adult burn-injured patients (> 5%TBSA) upon admission to hospital and 6 months later, to calculate an epigenetic clock value which can be used to determine biological age. Fifty-three burn-injured participants (mean age 45.43 years, 49 male, mean TBSA 37.65%) were recruited at admission and 34 again 6 months post injury (mean age 40.4 years, 34 male, mean TBSA 30.91%). Twenty-nine healthy controls (mean age 43.69 years, 24 male) were also recruited. Epigenetic age acceleration at admission by PhenoAge was + 7.2 years (P = 8.31e-5) but by month 6 was not significantly different from healthy controls. PCGrimAge acceleration was + 9.23 years at admission (P = 5.79e-11) and remained 4.18 years higher than in controls by month 6 (P = 2.64e-6). At admission, the burn-injured participants had a Dunedin PACE of ageing score 31.65% higher than the control group (P = 2.14e-12), the equivalent of + 115 days per year of biological ageing. Six months post injury the Dunedin PACE of ageing remained significantly higher (+ 11.36%, 41 days/year) than in the control group (P = 3.99e-5). No differences were seen using the Horvath and Hannum clocks. Enrichment analysis revealed that key pathways enriched with burn injury related to immune function, activation, and inflammation. The results reveal that epigenetic age, specifically the PACE of ageing and PCGrimAge, was accelerated in burn-injured adults at admission, with some return towards control values by 6 months. That these two clocks are built upon morbidity outcomes suggests that the injury is invoking a biological response that increases the risk of disease. Burn injury in adults induces epigenetic changes suggestive of an acceleration of the ageing process, which may contribute to the increased morbidity and mortality in these patients.
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Affiliation(s)
- Jack Sullivan
- Inflammation and Ageing, University of Birmingham, Birmingham, UK.
- Scar Free Foundation Centre for Conflict Wound Research, University Hospital Birmingham, Birmingham, UK.
- NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, UK.
| | - Thomas Nicholson
- Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Sarcopenia and Multimorbidity Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, UK
| | - Jon Hazeldine
- Inflammation and Ageing, University of Birmingham, Birmingham, UK
- Scar Free Foundation Centre for Conflict Wound Research, University Hospital Birmingham, Birmingham, UK
- NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, UK
| | - Naiem Moiemen
- Scar Free Foundation Centre for Conflict Wound Research, University Hospital Birmingham, Birmingham, UK
- Burns Research Centre, University Hospital Birmingham, Birmingham, UK
| | - Janet M Lord
- Inflammation and Ageing, University of Birmingham, Birmingham, UK
- Scar Free Foundation Centre for Conflict Wound Research, University Hospital Birmingham, Birmingham, UK
- NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, UK
- Burns Research Centre, University Hospital Birmingham, Birmingham, UK
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Sharma-Oates A, Dunne N, Raza K, Padyukov L, Rivera N, van der Helm-van Mil A, Pratt AG, Duggal NA, Jones SW, Lord JM. Ethnicity-specific patterns of epigenetic age acceleration in rheumatoid arthritis. GeroScience 2025:10.1007/s11357-025-01508-w. [PMID: 39797936 DOI: 10.1007/s11357-025-01508-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Accepted: 12/31/2024] [Indexed: 01/13/2025] Open
Abstract
Rheumatoid arthritis (RA) is an age-related chronic inflammatory disease which may include accelerated biological ageing processes in its pathogenesis. To determine if increased biological age is associated with risk of RA and/or is present once disease is established. We used DNA methylation to compare biological age (epigenetic age) of immune cells in adults at risk of RA and those with confirmed RA, including twins discordant for RA. The established RA studies were secondary analyses of existing DNA methylation data. Sub-group analysis considered the influence of ethnicity. Four epigenetic clocks were used to determine DNA methylation age. DNA methylation age was no different in adults at risk of RA in the Leiden Clinically Suspect Arthralgia (CSA) cohort (n = 38 developed RA, n = 24 did not), and there was also no difference in DNA methylation age between 77 UK twins discordant for RA, or adults with established RA from the Swedish EIRA cohort (n = 342) compared to healthy controls (n = 328). A sub-group analysis of RA patients of South Asian ethnicity (10 RA patients, 14 healthy controls) showed DNA methylation age acceleration of 3.3 years (p = 0.00014) using the mean DNA methylation age of four epigenetic clocks. Our study suggests that epigenetic age acceleration may be differentially influenced by South Asian ethnicity, but that RA was not generally associated with accelerated epigenetic age. The higher epigenetic age in the South Asian patients may explain the earlier age of onset in this minority ethnic population.
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Affiliation(s)
| | - Niall Dunne
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - Karim Raza
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, UK
- Department of Rheumatology, Sandwell and West Birmingham NHS Trust, Birmingham, UK
| | | | | | | | - Arthur G Pratt
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
- Department of Rheumatology, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Niharika A Duggal
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, UK
| | - Simon W Jones
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, UK
| | - Janet M Lord
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, UK.
- NIHR Birmingham Biomedical Research Centre, University Hospital Birmingham and University of Birmingham, Birmingham, UK.
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Kim DJ, Kang JH, Kim JW, Kim SB, Lee YK, Cheon MJ, Lee BC. Assessing the utility of epigenetic clocks for health prediction in South Korean. FRONTIERS IN AGING 2024; 5:1493406. [PMID: 39687863 PMCID: PMC11646986 DOI: 10.3389/fragi.2024.1493406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 11/13/2024] [Indexed: 12/18/2024]
Abstract
Epigenetic clocks have been developed to track both chronological age and biological age, which is defined by physiological biomarkers and the risk of adverse health outcomes. Epigenetic age acceleration (EAA) has been found to predict various diseases, aging-related factors, and mortality. However, epigenetic clocks have predominantly been developed with individuals of European or Hispanic ancestry, and their association with health outcomes and environmental factors has not been sufficiently assessed in East Asian populations. Here, we investigated nine epigenetic clocks: five trained on chronological age (first-generation) and four on biological age (second-generation), using DNA methylation data from blood samples of South Koreans. EAAs of second-generation epigenetic clocks reflected the risk of chronic diseases (type 2 diabetes and hypertension), levels of health-related blood markers (alanine aminotransferase, aspartate aminotransferase, high density lipoprotein, triglyceride, and high sensitivity C-reactive protein), and lung functions (percentage of predicted FEV1 and percentage of predicted FVC), while EAAs of first generation clocks did not. Using follow-up data, we also found that EAAs of second-generation clocks were associated with the time to onset risks of chronic diseases. Health behavior factors (drinking, smoking, exercise, body mass index, and waist-hip ratio), socioeconomic status (income level and educational attainment), and psychosocial status were associated with EAAs of second-generation clocks, while only smoking status was associated with EAAs of first-generation clocks. We conducted validation analyses in an independent South Korean cohort and replicated the association of EAAs with health outcomes and environmental factors. Age acceleration of epigenetic clocks is influenced by various environmental factors and can serve as an effective predictor of health in South Korea.
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Goldberg D, Wadhwani AR, Dehghani N, Sreepada LP, Fu H, De Jager PL, Bennett DA, Wolk DA, Lee EB, Farrell K, Crary JF, Zhou W, McMillan CT. Epigenetic signatures of regional tau pathology and cognition in the aging and pathological brain. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.11.07.24316933. [PMID: 39606399 PMCID: PMC11601699 DOI: 10.1101/2024.11.07.24316933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Primary age-related tauopathy (PART) and Alzheimer's disease (AD) share hippocampal phospho-tau (p-tau) pathology but differ in p-tau extent and amyloid presence. As a result, PART uniquely enables investigation of amyloid-independent p-tau mechanisms during brain aging. We conducted the first epigenome-wide association (EWAS) study of PART, which yielded 13 new and robust p-tau/methylation associations. We then jointly analyzed PART and AD epigenomes to develop "TauAge", novel epigenetic clocks that predict p-tau severity in region-specific, age-, and amyloid-independent manners. Integrative transcriptomic analyses revealed that genes involved in synaptic transmission are related to hippocampal p-tau severity in both PART and AD, while neuroinflammatory genes are related to frontal cortex p-tau severity in AD only. Further, a machine learning classifier based on PART-vs-AD epigenetic differences discriminates neuropathological diagnoses and stratifies indeterminate cases into subgroups with disparity in cognitive impairment. Together, these findings demonstrate the brain epigenome's substantial role in linking tau pathology to cognitive outcomes in aging and AD.
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Al-Rubaiey S, Senger C, Bukatz J, Krantchev K, Janas A, Eitner C, Nieminen-Kelhä M, Brandenburg S, Zips D, Vajkoczy P, Acker G. Determinants of cerebral radionecrosis in animal models: A systematic review. Radiother Oncol 2024; 199:110444. [PMID: 39067705 DOI: 10.1016/j.radonc.2024.110444] [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: 11/26/2023] [Revised: 06/13/2024] [Accepted: 07/11/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Radionecrosis is a common complication in radiation oncology, while mechanisms and risk factors have yet to be fully explored. We therefore conducted a systematic review to understand the pathogenesis and identify factors that significantly affect the development. METHODS We performed a systematic literature search based on the PRISMA guidelines using PubMed, Ovid, and Web of Science databases. The complete search strategy can be found as a preregistered protocol on PROSPERO (CRD42023361662). RESULTS We included 83 studies, most involving healthy animals (n = 72, 86.75 %). High doses of hemispherical irradiation of 30 Gy in rats and 50 Gy in mice led repeatedly to radionecrosis among different studies and set-ups. Higher dose and larger irradiated volume were associated with earlier onset. Fractionated schedules showed limited effectiveness in the prevention of radionecrosis. Distinct anatomical brain structures respond to irradiation in various ways. White matter appears to be more vulnerable than gray matter. Younger age, more evolved animal species, and genetic background were also significant factors, whereas sex was irrelevant. Only 13.25 % of the studies were performed on primary brain tumor bearing animals, no studies on brain metastases are currently available. CONCLUSION This systematic review identified various factors that significantly affect the induction of radionecrosis. The current state of research neglects the utilization of animal models of brain tumors, even though patients with brain malignancies constitute the largest group receiving brain irradiation. This latter aspect should be primarily addressed when developing an experimental radionecrosis model for translational implementation.
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Affiliation(s)
- Sanaria Al-Rubaiey
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany; Department of Radiation Oncology, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1 13353, Berlin, Germany.
| | - Carolin Senger
- Department of Radiation Oncology, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1 13353, Berlin, Germany.
| | - Jan Bukatz
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany; Department of Radiation Oncology, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1 13353, Berlin, Germany.
| | - Kiril Krantchev
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany.
| | - Anastasia Janas
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany; Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1 10117, Berlin, Germany.
| | - Chiara Eitner
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany.
| | - Melina Nieminen-Kelhä
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany.
| | - Susan Brandenburg
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany.
| | - Daniel Zips
- Department of Radiation Oncology, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1 13353, Berlin, Germany.
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany.
| | - Güliz Acker
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1 10117, Berlin, Germany; Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1 10117, Berlin, Germany; Department of Radiation Oncology, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Augustenburger Platz 1 13353, Berlin, Germany.
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McGee KC, Sullivan J, Hazeldine J, Schmunk LJ, Martin-Herranz DE, Jackson T, Lord JM. A combination nutritional supplement reduces DNA methylation age only in older adults with a raised epigenetic age. GeroScience 2024; 46:4333-4347. [PMID: 38528176 PMCID: PMC11336001 DOI: 10.1007/s11357-024-01138-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/13/2024] [Indexed: 03/27/2024] Open
Abstract
An increase in systemic inflammation (inflammaging) is one of the hallmarks of aging. Epigenetic (DNA methylation) clocks can quantify the degree of biological aging and this can be reversed by lifestyle and pharmacological intervention. We aimed to investigate whether a multi-component nutritional supplement could reduce systemic inflammation and epigenetic age in healthy older adults.We recruited 80 healthy older participants (mean age ± SD: 71.85 ± 6.23; males = 31, females = 49). Blood and saliva were obtained pre and post a 12-week course of a multi-component supplement, containing: Vitamin B3, Vitamin C, Vitamin D, Omega 3 fish oils, Resveratrol, Olive fruit phenols and Astaxanthin. Plasma GDF-15 and C-reactive protein (CRP) concentrations were quantified as markers of biological aging and inflammation respectively. DNA methylation was assessed in whole blood and saliva and used to derive epigenetic age using various clock algorithms.No difference between the epigenetic and chronological ages of participants was observed pre- and post-treatment by the blood-based Horvath or Hannum clocks, or the saliva-based InflammAge clock. However, in those with epigenetic age acceleration of ≥ 2 years at baseline, a significant reduction in epigenetic age (p = 0.015) and epigenetic age acceleration (p = 0.0058) was observed post-treatment using the saliva-based InflammAge clock. No differences were observed pre- and post-treatment in plasma GDF-15 and CRP, though participants with CRP indicative of an elevated cardiovascular disease risk (hsCRP ≥ 3µg/ml), had a reduction in CRP post-supplementation (p = 0.0195).Our data suggest a possible benefit of combined nutritional supplementation in individuals with an accelerated epigenetic age and inflammaging.
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Affiliation(s)
- Kirsty C McGee
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Jack Sullivan
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Jon Hazeldine
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | | | | | - Thomas Jackson
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedcial Research Centre, University Hopsital Birmingham and University of Birmingham, Birmingham, UK
| | - Janet M Lord
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
- NIHR Birmingham Biomedcial Research Centre, University Hopsital Birmingham and University of Birmingham, Birmingham, UK.
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11
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Zheng Z, Li J, Liu T, Fan Y, Zhai QC, Xiong M, Wang QR, Sun X, Zheng QW, Che S, Jiang B, Zheng Q, Wang C, Liu L, Ping J, Wang S, Gao DD, Ye J, Yang K, Zuo Y, Ma S, Yang YG, Qu J, Zhang F, Jia P, Liu GH, Zhang W. DNA methylation clocks for estimating biological age in Chinese cohorts. Protein Cell 2024; 15:575-593. [PMID: 38482631 PMCID: PMC11259550 DOI: 10.1093/procel/pwae011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 01/10/2024] [Indexed: 07/21/2024] Open
Abstract
Epigenetic clocks are accurate predictors of human chronological age based on the analysis of DNA methylation (DNAm) at specific CpG sites. However, a systematic comparison between DNA methylation data and other omics datasets has not yet been performed. Moreover, available DNAm age predictors are based on datasets with limited ethnic representation. To address these knowledge gaps, we generated and analyzed DNA methylation datasets from two independent Chinese cohorts, revealing age-related DNAm changes. Additionally, a DNA methylation aging clock (iCAS-DNAmAge) and a group of DNAm-based multi-modal clocks for Chinese individuals were developed, with most of them demonstrating strong predictive capabilities for chronological age. The clocks were further employed to predict factors influencing aging rates. The DNAm aging clock, derived from multi-modal aging features (compositeAge-DNAmAge), exhibited a close association with multi-omics changes, lifestyles, and disease status, underscoring its robust potential for precise biological age assessment. Our findings offer novel insights into the regulatory mechanism of age-related DNAm changes and extend the application of the DNAm clock for measuring biological age and aging pace, providing the basis for evaluating aging intervention strategies.
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Affiliation(s)
- Zikai Zheng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianzi Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yanling Fan
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Qiao-Cheng Zhai
- Division of Orthopaedics, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou 324000, China
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou 324000, China
| | - Muzhao Xiong
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qiao-Ran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyan Sun
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qi-Wen Zheng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Shanshan Che
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Beier Jiang
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou 324000, China
| | - Quan Zheng
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou 324000, China
| | - Cui Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lixiao Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiale Ping
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Si Wang
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Dan-Dan Gao
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou 324000, China
| | - Jinlin Ye
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou 324000, China
| | - Kuan Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuesheng Zuo
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Ma
- Aging Biomarker Consortium, Beijing 100101, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
| | - Yun-Gui Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Qu
- University of Chinese Academy of Sciences, Beijing 100049, China
- Aging Biomarker Consortium, Beijing 100101, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Feng Zhang
- Division of Orthopaedics, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou 324000, China
| | - Peilin Jia
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Aging Biomarker Consortium, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
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12
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Villa C, Combi R. Epigenetics in Alzheimer's Disease: A Critical Overview. Int J Mol Sci 2024; 25:5970. [PMID: 38892155 PMCID: PMC11173284 DOI: 10.3390/ijms25115970] [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: 04/29/2024] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
Epigenetic modifications have been implicated in a number of complex diseases as well as being a hallmark of organismal aging. Several reports have indicated an involvement of these changes in Alzheimer's disease (AD) risk and progression, most likely contributing to the dysregulation of AD-related gene expression measured by DNA methylation studies. Given that DNA methylation is tissue-specific and that AD is a brain disorder, the limitation of these studies is the ability to identify clinically useful biomarkers in a proxy tissue, reflective of the tissue of interest, that would be less invasive, more cost-effective, and easily obtainable. The age-related DNA methylation changes have also been used to develop different generations of epigenetic clocks devoted to measuring the aging in different tissues that sometimes suggests an age acceleration in AD patients. This review critically discusses epigenetic changes and aging measures as potential biomarkers for AD detection, prognosis, and progression. Given that epigenetic alterations are chemically reversible, treatments aiming at reversing these modifications will be also discussed as promising therapeutic strategies for AD.
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Affiliation(s)
| | - Romina Combi
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy;
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13
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Ohi K, Fujikane D, Takai K, Kuramitsu A, Muto Y, Sugiyama S, Shioiri T. Epigenetic signatures of social anxiety, panic disorders and stress experiences: Insights from genome-wide DNA methylation risk scores. Psychiatry Res 2024; 337:115984. [PMID: 38820651 DOI: 10.1016/j.psychres.2024.115984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/15/2024] [Accepted: 05/26/2024] [Indexed: 06/02/2024]
Abstract
Social anxiety disorder (SAD) and panic disorder (PD) are prevalent anxiety disorders characterized by a complex interplay of genetic and environmental factors. Both disorders share overlapping features and often coexist, despite displaying distinct characteristics. Childhood life adversity, overall stressful life events, and genetic factors contribute to the development of these disorders. DNA methylation, an epigenetic modification, has been implicated in the pathogenesis of these diseases. In this study, we investigated whether whole-genome DNA methylation risk scores (MRSs) for SAD risk, severity of social anxiety, childhood life adversity, PD risk, and overall stressful life events were associated with SAD or PD case‒control status. Preliminary epigenome-wide association studies (EWASs) for SAD risk, severity of social anxiety, and childhood life adversity were conducted in 66 SAD individuals and 77 healthy controls (HCs). Similarly, EWASs for PD risk and overall stressful life events were performed in 182 PD individuals and 81 HCs. MRSs were calculated from these EWASs. MRSs derived from the EWASs of SAD risk and severity of social anxiety were greater in PD patients than in HCs. Additionally, MRSs derived from the EWASs of overall stressful life events, particularly in PD individuals, were lower in SAD individuals than in HCs. In contrast, MRSs for childhood life adversity or PD risk were not significantly associated with PD or SAD case‒control status. These findings highlight the epigenetic features shared in both disorders and the distinctive epigenetic features related to social avoidance in SAD patients, helping to elucidate the epigenetic basis of these disorders.
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Affiliation(s)
- Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan; Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, Japan.
| | - Daisuke Fujikane
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Kentaro Takai
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Ayumi Kuramitsu
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yukimasa Muto
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Shunsuke Sugiyama
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Toshiki Shioiri
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
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14
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Qiao X, Straight B, Ngo D, Hilton CE, Owuor Olungah C, Naugle A, Lalancette C, Needham BL. Severe drought exposure in utero associates to children's epigenetic age acceleration in a global climate change hot spot. Nat Commun 2024; 15:4140. [PMID: 38755138 PMCID: PMC11099019 DOI: 10.1038/s41467-024-48426-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 04/29/2024] [Indexed: 05/18/2024] Open
Abstract
The goal of this study is to examine the association between in utero drought exposure and epigenetic age acceleration (EAA) in a global climate change hot spot. Calculations of EAA in adults using DNA methylation have been found to accurately predict chronic disease and longevity. However, fewer studies have examined EAA in children, and drought exposure in utero has not been investigated. Additionally, studies of EAA in low-income countries with diverse populations are rare. We assess EAA using epigenetic clocks and two DNAm-based pace-of-aging measurements from whole saliva samples in 104 drought-exposed children and 109 same-sex sibling controls in northern Kenya. We find a positive association between in utero drought exposure and EAA in two epigenetic clocks (Hannum's and GrimAge) and a negative association in the DNAm based telomere length (DNAmTL) clock. The combined impact of drought's multiple deleterious stressors may reduce overall life expectancy through accelerated epigenetic aging.
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Affiliation(s)
- Xi Qiao
- Department of Statistics, Western Michigan University, Kalamazoo, MI, USA
| | - Bilinda Straight
- School of Environment, Geography, & Sustainability, Western Michigan University, Kalamazoo, MI, USA.
| | - Duy Ngo
- Department of Statistics, Western Michigan University, Kalamazoo, MI, USA
| | - Charles E Hilton
- Department of Anthropology, University of North Carolina - Chapel Hill, Chapel Hill, NC, USA
| | - Charles Owuor Olungah
- Department of Anthropology, Gender and African Studies, University of Nairobi, Nairobi, Kenya
| | - Amy Naugle
- Department of Psychology, Western Michigan University, Kalamazoo, MI, USA
| | | | - Belinda L Needham
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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15
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Gilchrist JJ, Fang H, Danielli S, Tomkova M, Nassiri I, Ng E, Tong O, Taylor C, Muldoon D, Cohen LRZ, Al-Mossawi H, Lau E, Neville M, Schuster-Boeckler B, Knight JC, Fairfax BP. Characterization of the genetic determinants of context-specific DNA methylation in primary monocytes. CELL GENOMICS 2024; 4:100541. [PMID: 38663408 PMCID: PMC11099345 DOI: 10.1016/j.xgen.2024.100541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 11/24/2023] [Accepted: 03/27/2024] [Indexed: 05/12/2024]
Abstract
To better understand inter-individual variation in sensitivity of DNA methylation (DNAm) to immune activity, we characterized effects of inflammatory stimuli on primary monocyte DNAm (n = 190). We find that monocyte DNAm is site-dependently sensitive to lipopolysaccharide (LPS), with LPS-induced demethylation occurring following hydroxymethylation. We identify 7,359 high-confidence immune-modulated CpGs (imCpGs) that differ in genomic localization and transcription factor usage according to whether they represent a gain or loss in DNAm. Demethylated imCpGs are profoundly enriched for enhancers and colocalize to genes enriched for disease associations, especially cancer. DNAm is age associated, and we find that 24-h LPS exposure triggers approximately 6 months of gain in epigenetic age, directly linking epigenetic aging with innate immune activity. By integrating LPS-induced changes in DNAm with genetic variation, we identify 234 imCpGs under local genetic control. Exploring shared causal loci between LPS-induced DNAm responses and human disease traits highlights examples of disease-associated loci that modulate imCpG formation.
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Affiliation(s)
- James J Gilchrist
- Department of Paediatrics, University of Oxford, Oxford OX3 9DU, UK; MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK
| | - Hai Fang
- Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Sara Danielli
- Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Marketa Tomkova
- Ludwig Cancer Research Oxford, University of Oxford, Oxford OX3 7DQ, UK
| | - Isar Nassiri
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK; Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Esther Ng
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK
| | - Orion Tong
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK
| | - Chelsea Taylor
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK
| | - Dylan Muldoon
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK
| | - Lea R Z Cohen
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK
| | - Hussein Al-Mossawi
- Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK
| | - Evelyn Lau
- Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Matt Neville
- Oxford Centre for Diabetes, Endocrinology, and Metabolism, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LE, UK
| | | | - Julian C Knight
- Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Benjamin P Fairfax
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK; Department of Oncology, University of Oxford, Oxford OX3 9DS, UK.
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16
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Li DL, Hodge AM, Cribb L, Southey MC, Giles GG, Milne RL, Dugué PA. Body Size, Diet Quality, and Epigenetic Aging: Cross-Sectional and Longitudinal Analyses. J Gerontol A Biol Sci Med Sci 2024; 79:glae026. [PMID: 38267386 PMCID: PMC10953795 DOI: 10.1093/gerona/glae026] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Indexed: 01/26/2024] Open
Abstract
Epigenetic age is an emerging marker of health that is highly predictive of disease and mortality risk. There is a lack of evidence on whether lifestyle changes are associated with changes in epigenetic aging. We used data from 1 041 participants in the Melbourne Collaborative Cohort Study with blood DNA methylation measures at baseline (1990-1994, mean age: 57.4 years) and follow-up (2003-2007, mean age: 68.8 years). The Alternative Healthy Eating Index-2010 (AHEI-2010), the Mediterranean Dietary Score, and the Dietary Inflammatory Index were used as measures of diet quality, and weight, waist circumference, and waist-to-hip ratio as measures of body size. Five age-adjusted epigenetic aging measures were considered: GrimAge, PhenoAge, PCGrimAge, PCPhenoAge, and DunedinPACE. Multivariable linear regression models including restricted cubic splines were used to assess the cross-sectional and longitudinal associations of body size and diet quality with epigenetic aging. Associations between weight and epigenetic aging cross-sectionally at both time points were positive and appeared greater for DunedinPACE (per SD: β ~0.24) than for GrimAge and PhenoAge (β ~0.10). The longitudinal associations with weight change were markedly nonlinear (U-shaped) with stable weight being associated with the lowest epigenetic aging at follow-up, except for DunedinPACE, for which only weight gain showed a positive association. We found negative, linear associations for AHEI-2010 both cross-sectionally and longitudinally. Other adiposity measures and dietary scores showed similar results. In middle-aged to older adults, declining diet quality and weight gain may increase epigenetic age, while the association for weight loss may require further investigation. Our study sheds light on the potential of weight management and dietary improvement in slowing aging processes.
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Affiliation(s)
- Danmeng Lily Li
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Allison M Hodge
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Lachlan Cribb
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - Graham G Giles
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Roger L Milne
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Pierre-Antoine Dugué
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
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