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Dasari MR, Roche KE, Jansen D, Anderson J, Alberts SC, Tung J, Gilbert JA, Blekhman R, Mukherjee S, Archie EA. Social and environmental predictors of gut microbiome age in wild baboons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.02.605707. [PMID: 39131274 PMCID: PMC11312535 DOI: 10.1101/2024.08.02.605707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Understanding why some individuals age faster than others is essential to evolutionary biology and geroscience, but measuring variation in biological age is difficult. One solution may lie in measuring gut microbiome composition because microbiota change with many age-related factors (e.g., immunity and behavior). Here we create a microbiome-based age predictor using 13,563 gut microbial profiles from 479 wild baboons collected over 14 years. The resulting "microbiome clock" predicts host chronological age. Deviations from the clock's predictions are linked to demographic and socio-environmental factors that predict baboon health and survival: animals who appear old-for-age tend to be male, sampled in the dry season (for females), and high social status (both sexes). However, an individual's "microbiome age" does not predict the attainment of developmental milestones or lifespan. Hence, the microbiome clock accurately reflects age and some social and environmental conditions, but not the pace of development or mortality risk.
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Affiliation(s)
- Mauna R. Dasari
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA
- California Academy of Sciences, San Francisco, CA, USA
| | - Kimberly E. Roche
- Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, USA
| | - David Jansen
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Jordan Anderson
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Susan C. Alberts
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Department of Biology, Duke University, Durham, NC, USA
- Duke University Population Research Institute, Duke University, Durham, NC, USA
| | - Jenny Tung
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Department of Biology, Duke University, Durham, NC, USA
- Duke University Population Research Institute, Duke University, Durham, NC, USA
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
- Canadian Institute for Advanced Research, Toronto, Ontario, Canada
- Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany
| | - Jack A. Gilbert
- Department of Pediatrics and the Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA, USA
| | - Ran Blekhman
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sayan Mukherjee
- Departments of Statistical Science, Mathematics, Computer Science, and Bioinformatics & Biostatistics, Duke University, Durham, NC, USA
- Center for Scalable Data Analytics and Artificial Intelligence, University of Leipzig, Leipzig Germany
- Max Planck Institute for Mathematics in the Natural Sciences, Leipzig, Germany
| | - Elizabeth A. Archie
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
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Clark SL, McGinnis EW, Zhao M, Xie L, Marks GT, Aberg KA, van den Oord EJCG, Copeland WE. The Impact of Childhood Mental Health and Substance Use on Methylation Aging Into Adulthood. J Am Acad Child Adolesc Psychiatry 2024; 63:825-834. [PMID: 38157979 DOI: 10.1016/j.jaac.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/11/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE To test whether childhood mental health symptoms, substance use, and early adversity accelerate the rate of DNA methylation (DNAm) aging from adolescence to adulthood. METHOD DNAm was assayed from blood samples in 381 participants in both adolescence (mean [SD] age = 13.9 [1.6] years) and adulthood (mean [SD] age = 25.9 [2.7] years). Structured diagnostic interviews were completed with participants and their parents at multiple childhood observations (1,950 total) to assess symptoms of common mental health disorders (attention-deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder, anxiety, and depression) and common types of substance use (alcohol, cannabis, nicotine) and early adversities. RESULTS Neither childhood mental health symptoms nor substance use variables were associated with DNAm aging cross-sectionally. In contrast, the following mental health symptoms and substance variables were associated with accelerated DNAm aging from adolescence to adulthood: depressive symptoms (b = 0.314, SE = 0.127, p = .014), internalizing symptoms (b = 0.108, SE = 0.049, p = .029), weekly cannabis use (b =1.665, SE = 0.591, p = .005), and years of weekly cannabis use (b = 0.718, SE = 0.283, p = .012). In models testing all individual variables simultaneously, the combined effect of the variables was equivalent to a potential difference of 3.17 to 3.76 years in DNAm aging. A final model tested a variable assessing cumulative exposure to mental health symptoms, substance use, and early adversities. This cumulative variable was strongly associated with accelerated aging (b = 0.126, SE = 0.044, p = .005). CONCLUSION Mental health symptoms and substance use accelerated DNAm aging into adulthood in a manner consistent with a shared risk mechanism. PLAIN LANGUAGE SUMMARY Using data from 381 participants in the Great Smoky Mountains Study, the authors examined whether childhood mental health symptoms, substance use, and early adversity accelerate biological aging, as measured by DNA methylation age, from adolescence to adulthood. Depressive symptoms and cannabis use were found to significantly accelerate biological aging. Models that tested the combined effect of mental health symptoms, substance use, and early adversity demonstrated that there was a shared effect across these types of childhood problems on accelerated aging.
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Affiliation(s)
| | | | - Min Zhao
- Virginia Commonwealth University, Richmond, Virginia
| | - Linying Xie
- Virginia Commonwealth University, Richmond, Virginia
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Taff CC, McNew SM, Campagna L, Vitousek MN. Corticosterone exposure is associated with long-term changes in DNA methylation, physiology and breeding decisions in a wild bird. Mol Ecol 2024; 33:e17456. [PMID: 38953311 DOI: 10.1111/mec.17456] [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: 07/31/2023] [Revised: 06/07/2024] [Accepted: 06/24/2024] [Indexed: 07/04/2024]
Abstract
When facing challenges, vertebrates activate a hormonal stress response that can dramatically alter behaviour and physiology. Although this response can be costly, conceptual models suggest that it can also recalibrate the stress response system, priming more effective responses to future challenges. Little is known about whether this process occurs in wild animals, particularly in adulthood, and if so, how information about prior experience with stressors is encoded. One potential mechanism is hormonally mediated changes in DNA methylation. We simulated the spikes in corticosterone that accompany a stress response using non-invasive dosing in tree swallows (Tachycineta bicolor) and monitored the phenotypic effects 1 year later. In a subset of individuals, we characterized DNA methylation using reduced representation bisulfite sequencing shortly after treatment and a year later. The year after treatment, experimental females had stronger negative feedback and initiated breeding earlier-traits that are associated with stress resilience and reproductive performance in our population-and higher baseline corticosterone. We also found that natural variation in corticosterone predicted patterns of DNA methylation. Finally, corticosterone treatment influenced methylation on short (1-2 weeks) and long (1 year) time scales; however, these changes did not have clear links to functional regulation of the stress response. Taken together, our results are consistent with corticosterone-induced priming of future stress resilience and support DNA methylation as a potential mechanism, but more work is needed to demonstrate functional consequences. Uncovering the mechanisms linking experience with the response to future challenges has implications for understanding the drivers of stress resilience.
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Affiliation(s)
- Conor C Taff
- Department of Ecology & Evolutionary Biology and Cornell Lab of Ornithology, Cornell University, Ithaca, New York, USA
- Department of Biology, Colby College, Waterville, Maine, USA
| | - Sabrina M McNew
- Department of Ecology & Evolutionary Biology, University of Arizona, Tucson, Arizona, USA
| | - Leonardo Campagna
- Department of Ecology & Evolutionary Biology and Cornell Lab of Ornithology, Cornell University, Ithaca, New York, USA
| | - Maren N Vitousek
- Department of Ecology & Evolutionary Biology and Cornell Lab of Ornithology, Cornell University, Ithaca, New York, USA
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4
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Reznik E, Torjani A. Mechanisms of stress-attributed breast cancer incidence and progression. Cancer Causes Control 2024:10.1007/s10552-024-01884-2. [PMID: 39012513 DOI: 10.1007/s10552-024-01884-2] [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: 03/01/2024] [Accepted: 04/19/2024] [Indexed: 07/17/2024]
Abstract
Breast cancer is the most commonly diagnosed cancer and the second leading cause of cancer deaths in women, with psychosocial stress commonly cited by patients as one of its causes. While there is conflicting epidemiological evidence investigating the association between psychosocial stress and breast cancer incidence and progression, there is reason to believe that interventions aimed at reducing stress pharmacologically or psychologically may improve breast cancer outcomes. The aim of this review is to discuss the molecular and biological mechanisms of stress-attributed breast cancer incidence and progression, including the induction of the hypothalamic-pituitary-adrenal (HPA) axis and the sympathetic nervous system (SNS), as well as decreased immune function and stress hormone-induced resistance to chemotherapy. Moreover, these mechanisms have been cited as potential therapeutic targets of pharmacologic and psychological interventions that may improve the care, well-being and survival of breast cancer patients. Further research is recommended to investigate whether interventions in the primary care setting for women with risk factors for breast cancer development may lead to a decreased incidence of invasive breast tumors.
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Affiliation(s)
- Elizabeth Reznik
- Department of Internal Medicine, NewYork-Presbyterian Weill Cornell, New York, NY, USA.
| | - Ava Torjani
- Department of Ophthalmology, Keck School of Medicine of USC, Los Angeles, CA, USA
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Sokolov AV, Schiöth HB. Decoding depression: a comprehensive multi-cohort exploration of blood DNA methylation using machine learning and deep learning approaches. Transl Psychiatry 2024; 14:287. [PMID: 39009577 PMCID: PMC11250806 DOI: 10.1038/s41398-024-02992-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 06/24/2024] [Accepted: 06/27/2024] [Indexed: 07/17/2024] Open
Abstract
The causes of depression are complex, and the current diagnosis methods rely solely on psychiatric evaluations with no incorporation of laboratory biomarkers in clinical practices. We investigated the stability of blood DNA methylation depression signatures in six different populations using six public and two domestic cohorts (n = 1942) conducting mega-analysis and meta-analysis of the individual studies. We evaluated 12 machine learning and deep learning strategies for depression classification both in cross-validation (CV) and in hold-out tests using merged data from 8 separate batches, constructing models with both biased and unbiased feature selection. We found 1987 CpG sites related to depression in both mega- and meta-analysis at the nominal level, and the associated genes were nominally related to axon guidance and immune pathways based on enrichment analysis and eQTM data. Random forest classifiers achieved the highest performance (AUC 0.73 and 0.76) in CV and hold-out tests respectively on the batch-level processed data. In contrast, the methylation showed low predictive power (all AUCs < 0.57) for all classifiers in CV and no predictive power in hold-out tests when used with harmonized data. All models achieved significantly better performance (>14% gain in AUCs) with pre-selected features (selection bias), with some of the models (joint autoencoder-classifier) reaching AUCs of up to 0.91 in the final testing regardless of data preparation. Different algorithmic feature selection approaches may outperform limma, however, random forest models perform well regardless of the strategy. The results provide an overview over potential future biomarkers for depression and highlight many important methodological aspects for DNA methylation-based depression profiling including the use of machine learning strategies.
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Affiliation(s)
- Aleksandr V Sokolov
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Helgi B Schiöth
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden.
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6
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Yusipov I, Kalyakulina A, Trukhanov A, Franceschi C, Ivanchenko M. Map of epigenetic age acceleration: A worldwide analysis. Ageing Res Rev 2024; 100:102418. [PMID: 39002646 DOI: 10.1016/j.arr.2024.102418] [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: 04/17/2024] [Revised: 07/03/2024] [Accepted: 07/08/2024] [Indexed: 07/15/2024]
Abstract
We present a systematic analysis of epigenetic age acceleration based on by far the largest collection of publicly available DNA methylation data for healthy samples (93 datasets, 23 K samples), focusing on the geographic (25 countries) and ethnic (31 ethnicities) aspects around the world. We employed the most popular epigenetic tools for assessing age acceleration and examined their quality metrics and ability to extrapolate to epigenetic data from different tissue types and age ranges different from the training data of these models. In most cases, the models proved to be inconsistent with each other and showed different signs of age acceleration, with the PhenoAge model tending to systematically underestimate and different versions of the GrimAge model tending to systematically overestimate the age prediction of healthy subjects. Referring to data availability and consistency, most countries and populations are still not represented in GEO, moreover, different datasets use different criteria for determining healthy controls. Because of this, it is difficult to fully isolate the contribution of "geography/environment", "ethnicity" and "healthiness" to epigenetic age acceleration. Among the explored metrics, only the DunedinPACE, which measures aging rate, appears to adequately reflect the standard of living and socioeconomic indicators in countries, although it has a limited application to blood methylation data only. Invariably, by epigenetic age acceleration, males age faster than females in most of the studied countries and populations.
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Affiliation(s)
- Igor Yusipov
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Alena Kalyakulina
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Arseniy Trukhanov
- Mriya Life Institute, National Academy of Active Longevity, Moscow 124489, Russia.
| | - Claudio Franceschi
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Mikhail Ivanchenko
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
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7
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Murgatroyd C, Salontaji K, Smajlagic D, Page C, Sanders F, Jugessur A, Lyle R, Tsotsi S, Haftorn K, Felix J, Walton E, Tiemeier H, Cecil C, Bekkhus M. Prenatal stress and gestational epigenetic age: No evidence of associations based on a large prospective multi-cohort study. RESEARCH SQUARE 2024:rs.3.rs-4257223. [PMID: 39011115 PMCID: PMC11247928 DOI: 10.21203/rs.3.rs-4257223/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Psychological stress during pregnancy is known to have a range of long-lasting negative consequences on the development and health of offspring. Here, we tested whether a measure of prenatal early-life stress was associated with a biomarker of physiological development at birth, namely epigenetic gestational age, using foetal cord-blood DNA-methylation data. Longitudinal cohorts from the Netherlands (Generation R Study [Generation R], n = 1,396), the UK (British Avon Longitudinal Study of Parents and Children [ALSPAC], n = 642), and Norway (Mother, Father and Child Cohort Study [MoBa], n1 = 1,212 and n2 = 678) provided data on prenatal maternal stress and genome-wide DNA methylation from cord blood and were meta-analysed (pooled n = 3,928). Measures of epigenetic age acceleration were calculated using three different gestational epigenetic clocks: "Bohlin", "EPIC overlap" and "Knight". Prenatal stress exposure, examined as an overall cumulative score, was not significantly associated with epigenetically-estimated gestational age acceleration or deceleration in any of the clocks, based on the results of the pooled meta-analysis or those of the individual cohorts. No significant associations were identified with specific domains of prenatal stress exposure, including negative life events, contextual (socio-economic) stressors, parental risks (e.g., maternal psychopathology) and interpersonal risks (e.g., family conflict). Further, no significant associations were identified when analyses were stratified by sex. Overall, we find little support that prenatal psychosocial stress is associated with variation in epigenetic age at birth within the general paediatric population.
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Chang OD, Meier HCS, Maguire-Jack K, Davis-Kean P, Mitchell C. Childhood Maltreatment and Longitudinal Epigenetic Aging: NIMHD Social Epigenomics Program. JAMA Netw Open 2024; 7:e2421877. [PMID: 39073816 PMCID: PMC11287393 DOI: 10.1001/jamanetworkopen.2024.21877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 04/07/2024] [Indexed: 07/30/2024] Open
Abstract
Importance Child physical and emotional abuse and neglect may affect epigenetic signatures of accelerated aging several years after the exposure. Objective To examine the longitudinal outcomes of early-childhood and midchildhood exposures to maltreatment on later childhood and adolescent profiles of epigenetic accelerated aging. Design, Setting, and Participants This cohort study used data from the Future of Families and Child Wellbeing Study (enrolled 1998-2000), a US birth cohort study with available DNA methylation (DNAm) data at ages 9 and 15 years (assayed between 2017 and 2020) and phenotypic data at birth (wave 1), and ages 3 (wave 3), 5 (wave 4), 9 (wave 5), and 15 (wave 6) years. Data were analyzed between June 18 and December 10, 2023. Exposures Emotional aggression, physical assault, emotional neglect, and physical neglect via the Parent-Child Conflict Tactics Scale at ages 3 and 5 years. Main Outcomes and Measures Epigenetic accelerated aging (DNAmAA) was measured using 3 machine learning-derived surrogates of aging (GrimAge, PhenoAge, and DunedinPACE) and 2 machine learning-derived surrogates of age (Horvath and PedBE), residualized for age in months. Results A total of 1971 children (992 [50.3%] male) representative of births in large US cities between 1998 and 2000 were included. Physical assault at age 3 years was positively associated with DNAmAA for PhenoAge (β = 0.073; 95% CI, 0.019-0.127), and emotional aggression at age 3 years was negatively associated with PhenoAge DNAmAA (β = -0.107; 95% CI, -0.162 to -0.052). Emotional neglect at age 5 years was positively associated with PhenoAge DNAmAA (β = 0.051; 95% CI, 0.006-0.097). Cumulative exposure to physical assault between ages 3 and 5 years was positively associated with PhenoAge DNAmAA (β = 0.063; 95% CI, 0.003-0.123); emotional aggression was negatively associated with PhenoAge DNAmAA (β = -0.104; 95% CI, -0.165 to -0.043). The association of these measures with age 15 years PhenoAge DNAmAA was almost fully mediated by age 9 years PhenoAge DNAm age acceleration. Similar patterns were found for GrimAge, DunedinPACE, and PhenoAge, but only those for PhenoAge remained after adjustments for multiple comparisons. Conclusions and Relevance In this cohort study, altered patterns of DNAmAA were sensitive to the type and timing of child maltreatment exposure and appeared to be associated with more proximate biological embedding of stress.
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Affiliation(s)
- Olivia D. Chang
- School of Social Work, University of Michigan, Ann Arbor
- Department of Psychology, University of Michigan, Ann Arbor
| | | | | | - Pamela Davis-Kean
- Department of Psychology, University of Michigan, Ann Arbor
- Survey Research Center, University of Michigan, Ann Arbor
| | - Colter Mitchell
- Survey Research Center, University of Michigan, Ann Arbor
- Population Studies Center, University of Michigan, Ann Arbor
- Department of Sociology, University of Michigan, Ann Arbor
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9
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Johnson JR, Mavingire N, Woods-Burnham L, Walker M, Lewis D, Hooker SE, Galloway D, Rivers B, Kittles RA. The complex interplay of modifiable risk factors affecting prostate cancer disparities in African American men. Nat Rev Urol 2024; 21:422-432. [PMID: 38307952 DOI: 10.1038/s41585-023-00849-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2023] [Indexed: 02/04/2024]
Abstract
Prostate cancer is the second most commonly diagnosed non-skin malignancy and the second leading cause of cancer death among men in the USA. However, the mortality rate of African American men aged 40-60 years is almost 2.5-fold greater than that of European American men. Despite screening and diagnostic and therapeutic advances, disparities in prostate cancer incidence and outcomes remain prevalent. The reasons that lead to this disparity in outcomes are complex and multifactorial. Established non-modifiable risk factors such as age and genetic predisposition contribute to this disparity; however, evidence suggests that modifiable risk factors (including social determinants of health, diet, steroid hormones, environment and lack of diversity in enrolment in clinical trials) are prominent contributing factors to the racial disparities observed. Disparities involved in the diagnosis, treatment and survival of African American men with prostate cancer have also been correlated with low socioeconomic status, education and lack of access to health care. The effects and complex interactions of prostate cancer modifiable risk factors are important considerations for mitigating the incidence and outcomes of this disease in African American men.
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Affiliation(s)
- Jabril R Johnson
- Department of Microbiology, Biochemistry & Immunology, Morehouse School of Medicine, Atlanta, GA, USA.
| | - Nicole Mavingire
- Department of Physiology, Morehouse School of Medicine, Atlanta, GA, USA
| | | | - Mya Walker
- Department of Diabetes and Cancer Metabolism, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Deyana Lewis
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Stanley E Hooker
- Department of Population Sciences, Division of Health Equities, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Dorothy Galloway
- Department of Population Sciences, Division of Health Equities, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Brian Rivers
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Rick A Kittles
- Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA
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Christian LM, Kiecolt-Glaser JK, Cole SW, Burd CE, Madison AA, Wilson SJ, Rosko AE. Psychoneuroimmunology in multiple myeloma and autologous hematopoietic stem cell transplant: Opportunities for research among patients and caregivers. Brain Behav Immun 2024; 119:507-519. [PMID: 38643954 DOI: 10.1016/j.bbi.2024.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 04/12/2024] [Accepted: 04/16/2024] [Indexed: 04/23/2024] Open
Abstract
Multiple myeloma (MM) is an incurable cancer and is the leading indication for autologous hematopoietic stem cell transplantation (HSCT). To be eligible for HSCT, a patient must have a caregiver, as caregivers play a central role in HSCT preparation and recovery. MM patients remain on treatment indefinitely, and thus patients and their caregivers face long-term challenges including the intensity of HSCT and perpetual therapy after transplant. Importantly, both patients and their caregivers show heightened depressive and anxiety symptoms, with dyadic correspondence evidenced and caregivers' distress often exceeding that of patients. An extensive psychoneuroimmunology (PNI) literature links distress with health via immune and neuroendocrine dysregulation as well as biological aging. However, data on PNI in the context of multiple myeloma - in patients or caregivers - are remarkably limited. Distress in MM patients has been associated with poorer outcomes including higher inflammation, greater one year post-HSCT hospital readmissions, and worse overall survival. Further, anxiety and depression are linked to biological aging and may contribute to the poor long-term health of both patients and caregivers. Because MM generally affects older adults, individual differences in biological aging may represent an important modifier of MM biology and HSCT treatment outcomes. There are a number of clinical scenarios in which biologically younger people could be prescribed more intensive therapies, with potential for greater benefit, by using a personalized cancer therapy approach based on the quantification of physiologic reserve. Further, despite considerable psychological demands, the effects of distress on health among MM caregivers is largely unexamined. Within this context, the current critical review highlights gaps in knowledge at the intersection of HSCT, inflammation, and biological aging in the context of MM. Research in this area hold promise for opportunities for novel and impactful psychoneuroimmunology (PNI) research to enhance health outcomes, quality of life, and longevity among both MM patients and their caregivers.
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Affiliation(s)
- Lisa M Christian
- Department of Psychiatry & Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA; The Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
| | - Janice K Kiecolt-Glaser
- The Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Steve W Cole
- Departments of Psychiatry and Biobehavioral Sciences and Medicine, Division of Hematology-Oncology, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Christin E Burd
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH 43210, USA; Department of Molecular Genetics, The Ohio State University, Columbus, OH 43210, USA
| | - Annelise A Madison
- The Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA; Department of Psychology, The Ohio State University, Columbus, OH 43210, USA; Veteran's Affairs Boston Healthcare System, Boston, MA 02130, USA; Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA; Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA
| | - Stephanie J Wilson
- Department of Psychology, Southern Methodist University, Dallas, TX 75206, USA
| | - Ashley E Rosko
- Division of Hematology, James Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
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Markon KE, Mann F, Freilich C, Cole S, Krueger RF. Associations between epigenetic age acceleration and longitudinal measures of psychosocioeconomic stress and status. Soc Sci Med 2024; 352:116990. [PMID: 38824837 PMCID: PMC11239272 DOI: 10.1016/j.socscimed.2024.116990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/10/2024] [Accepted: 05/15/2024] [Indexed: 06/04/2024]
Abstract
Relationships between epigenetic aging markers and psychosocial variables such as socioeconomic status and stress have been well-documented, but are often examined cross-sectionally or retrospectively, and have tended to focus on objective markers of SES or major life events. Here, we examined associations between psychosocial variables, including measures of socioeconomic status and social stress, and epigenetic aging markers in adulthood, using longitudinal data spanning three decades from the Midlife in the United States (MIDUS) study. The largest effects were observed for epigenetic markers of change in health, such as DunedinPACE and GrimAge, and for associations involving education, income, net assets, general social stress, inequality-related stress, and financial stress. Analyses of polygenic indices suggests that at least in the case of education, the link to epigenetic aging cannot be accounted for by common genetic variants.
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12
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Creasey N, Leijten P, Overbeek G, Tollenaar MS. Incredible years parenting program buffers prospective association between parent-reported harsh parenting and epigenetic age deceleration in children with externalizing behavior. Psychoneuroendocrinology 2024; 165:107043. [PMID: 38593711 DOI: 10.1016/j.psyneuen.2024.107043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 04/11/2024]
Abstract
Harsh parenting has been shown to increase the risk of physical and mental health problems in later life. To improve our understanding of these risks and how they can be mitigated, we investigated associations of harsh parenting with a clinically relevant biomarker, epigenetic age deviation (EAD), using data from a randomized-control trial of the Incredible Years (IY) parenting program. This study included 281 children aged 4-8 years who were screened for heightened externalizing behavior and whose parents were randomly allocated to either IY or care-as-usual (CAU). Parents reported on their own parenting practices and their child's externalizing behavior at baseline and at a follow-up assessment approximately three years later. Epigenetic age, based on the Pediatric Buccal Epigenetic (PedBE) clock, was estimated from child DNA methylation derived from saliva collected at the follow-up assessment. PedBE clock estimates were regressed on chronological age as a measure of EAD. Moderation analyses using multiple regression revealed that harsher parenting at baseline predicted epigenetic age deceleration in children that received CAU (b = -.21, 95% CI[-0.37, -0.05]), but no association was found in children whose parents were allocated to IY (b = -.02, 95% CI [-0.13, 0.19]). These results highlight a prospective association between harsh parenting and children's EAD and indicate a potential ameliorating effect of preventive intervention. Future work is needed to replicate these findings and understand individual differences in children's responses to harsh parenting in relation to epigenetic aging.
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Affiliation(s)
- Nicole Creasey
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Clinical, Educational & Health Psychology, Division of Psychology & Language Sciences, Faculty of Brain Sciences, University College London, London, UK.
| | - Patty Leijten
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, the Netherlands
| | - Geertjan Overbeek
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, the Netherlands
| | - Marieke S Tollenaar
- Institute of Psychology & Leiden Institute for Brain and Cognition, Leiden University, the Netherlands
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13
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Bolouki A. Role of Epigenetic Modification in the Intergeneration Transmission of War Trauma. Indian J Clin Biochem 2024; 39:312-321. [PMID: 39005862 PMCID: PMC11239641 DOI: 10.1007/s12291-023-01136-1] [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: 09/13/2022] [Accepted: 04/25/2023] [Indexed: 07/16/2024]
Abstract
War trauma has been linked to changes in the neuroendocrine and immunological systems and increases the risk of physical disorders. Traumatic events during the war may have long-term repercussions on psychological and biological parameters in future generations, implying that traumatic stress may have transgenerational consequences. This article addresses how epigenetic mechanisms, which are a key biological mechanism for dynamic adaptation to environmental stressors, may help explain the long-term and transgenerational consequences of trauma. In war survivors, epigenetic changes in genes mediating the hypothalamus-pituitary-adrenal axis, as well as the immune system, have been reported. These genetic modifications may cause long-term changes in the stress response as well as physical health risks. Also, the finding of biomarkers for diagnosing the possibility of psychiatric illnesses in people exposed to stressful conditions such as war necessitates extensive research. While epigenetic research has the potential to further our understanding of the effects of trauma, the findings must be interpreted with caution because epigenetic molecular mechanisms is only one piece of a complicated puzzle of interwoven biological and environmental components.
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Affiliation(s)
- Ayeh Bolouki
- Clinical Biochemistry Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Research Unit on Cellular Biology (URBC), University of Namur, Namur, Belgium
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14
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Elbasheir A, Katrinli S, Kearney BE, Lanius RA, Harnett NG, Carter SE, Ely TD, Bradley B, Gillespie CF, Stevens JS, Lori A, van Rooij SJH, Powers A, Jovanovic T, Smith AK, Fani N. Racial Discrimination, Neural Connectivity, and Epigenetic Aging Among Black Women. JAMA Netw Open 2024; 7:e2416588. [PMID: 38869898 DOI: 10.1001/jamanetworkopen.2024.16588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/14/2024] Open
Abstract
Importance Racial discrimination increases the risk of adverse brain health outcomes, potentially via neuroplastic changes in emotion processing networks. The involvement of deep brain regions (brainstem and midbrain) in these responses is unknown. Potential associations of racial discrimination with alterations in deep brain functional connectivity and accelerated epigenetic aging, a process that substantially increases vulnerability to health problems, are also unknown. Objective To examine associations of racial discrimination with brainstem and midbrain resting-state functional connectivity (RSFC) and DNA methylation age acceleration (DMAA) among Black women in the US. Design, Setting, and Participants This cohort study was conducted between January 1, 2012, and February 28, 2015, and included a community-based sample of Black women (aged ≥18 years) recruited as part of the Grady Trauma Project. Self-reported racial discrimination was examined in association with seed-to-voxel brain connectivity, including the locus coeruleus (LC), periaqueductal gray (PAG), and superior colliculus (SC); an index of DMAA (Horvath clock) was also evaluated. Posttraumatic stress disorder (PTSD), trauma exposure, and age were used as covariates in statistical models to isolate racial discrimination-related variance. Data analysis was conducted between January 10 and October 30, 2023. Exposure Varying levels of racial discrimination exposure, other trauma exposure, and posttraumatic stress disorder (PTSD). Main Outcomes and Measures Racial discrimination frequency was assessed with the Experiences of Discrimination Scale, other trauma exposure was evaluated with the Traumatic Events Inventory, and current PTSD was evaluated with the PTSD Symptom Scale. Seed-to-voxel functional connectivity analyses were conducted with LC, PAG, and SC seeds. To assess DMAA, the Methylation EPIC BeadChip assay (Illumina) was conducted with whole-blood samples from a subset of 49 participants. Results This study included 90 Black women, with a mean (SD) age of 38.5 (11.3) years. Greater racial discrimination was associated with greater left LC RSFC to the bilateral precuneus (a region within the default mode network implicated in rumination and reliving of past events; cluster size k = 228; t85 = 4.78; P < .001, false discovery rate-corrected). Significant indirect effects were observed for the left LC-precuneus RSFC on the association between racial discrimination and DMAA (β [SE] = 0.45 [0.16]; 95% CI, 0.12-0.77). Conclusions and Relevance In this study, more frequent racial discrimination was associated with proportionately greater RSFC of the LC to the precuneus, and these connectivity alterations were associated with DMAA. These findings suggest that racial discrimination contributes to accelerated biological aging via altered connectivity between the LC and default mode network, increasing vulnerability for brain health problems.
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Affiliation(s)
- Aziz Elbasheir
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Seyma Katrinli
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Breanne E Kearney
- Department of Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Ruth A Lanius
- Department of Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Nathaniel G Harnett
- Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | | | - Timothy D Ely
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Bekh Bradley
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
- Atlanta Veterans Affairs Medical Center, Atlanta, Georgia
| | - Charles F Gillespie
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Adriana Lori
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Abigail Powers
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan
| | - Alicia K Smith
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
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15
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Gudenkauf LM, Hathaway CA, Carroll JE, Small BJ, Li X, Hoogland AI, Castro E, Armaiz-Pena GN, Oswald LB, Jim HSL, Tworoger SS, Gonzalez BD. Inequities in the Impacts of Hurricanes and Other Extreme Weather Events for Cancer Survivors. Cancer Epidemiol Biomarkers Prev 2024; 33:771-778. [PMID: 38385842 PMCID: PMC11147728 DOI: 10.1158/1055-9965.epi-23-1029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/12/2024] [Accepted: 02/19/2024] [Indexed: 02/23/2024] Open
Abstract
In this minireview, we examine the impacts of hurricanes and other extreme weather events on cancer survivors, focusing on structural and social determinants of health. We briefly explore influences on biological, psychosocial, and behavioral outcomes and discuss risk and resilience factors in cancer survivorship during and after hurricanes. Our goal is to inform future directions for research that can identify areas in which we can most efficiently improve cancer outcomes and inform changes in health systems, clinical practice, and public health policies. This timely minireview provides researchers and clinicians with an overview of challenges and opportunities for improving disaster preparedness and response for cancer survivors.
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Affiliation(s)
- Lisa M Gudenkauf
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | | | - Judith E Carroll
- Department of Psychiatry and Behavioral Sciences, University of California, Los Angeles, California
| | - Brent J Small
- School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Xiaoyin Li
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | - Aasha I Hoogland
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | - Eida Castro
- School of Behavior and Brain Sciences, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Guillermo N Armaiz-Pena
- Department of Basic Sciences, Division of Pharmacology, School of Medicine, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Laura B Oswald
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Brian D Gonzalez
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
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16
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Kim JK, Arpawong TE, Klopack ET, Crimmins EM. Parental Divorce in Childhood and the Accelerated Epigenetic Aging for Earlier and Later Cohorts: Role of Mediators of Chronic Depressive Symptoms, Education, Smoking, Obesity, and Own Marital Disruption. JOURNAL OF POPULATION AGEING 2024; 17:297-313. [PMID: 39131698 PMCID: PMC11313353 DOI: 10.1007/s12062-023-09434-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/23/2023] [Indexed: 08/13/2024]
Abstract
We examine effects of parental divorce on epigenetic aging in later adulthood for two birth cohorts: one born in the early 20th century and the other born in the later 20th century. Using data from the Health and Retirement Study (n = 1,545), we examine the relationship between parental divorce in childhood and accelerated epigenetic aging in older adulthood as indicated by the Dunedin methylation Pace of Aging score. We assess how this relationship is mediated by chronic depressive symptoms, education, lifetime smoking, body mass index (BMI), and an older adult's own divorce. The mean age of the earlier cohort is 85.8 (SD = 3.9) and that of the later cohort is 60.2 (SD = 2.8). We find that parental divorce was related to faster aging in the later-born cohort, and that 56% of this relationship (b = 0.060) was mediated by chronic depressive symptoms (b = 0.013), lower education levels (b = 0.005), and smoking (b = 0.019). For the earlier cohort, there was no effect of parental divorce on epigenetic aging. Parental divorce in childhood may have lasting effects on later-life health, as reflected in the rate of epigenetic aging. However, the effects and mechanisms of this relationship differ across cohorts living in different social environments.
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Affiliation(s)
- Jung Ki Kim
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089-0191, USA
| | - Thalida Em Arpawong
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089-0191, USA
| | - Eric T. Klopack
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089-0191, USA
| | - Eileen M. Crimmins
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089-0191, USA
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17
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Sandalova E, Maier AB. Targeting the epigenetically older individuals for geroprotective trials: the use of DNA methylation clocks. Biogerontology 2024; 25:423-431. [PMID: 37968337 DOI: 10.1007/s10522-023-10077-4] [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: 09/08/2023] [Accepted: 10/15/2023] [Indexed: 11/17/2023]
Abstract
Chronological age is the most important risk factor for the incidence of age-related diseases. The pace of ageing determines the magnitude of that risk and can be expressed as biological age. Targeting fundamental pathways of human aging with geroprotectors has the potential to lower the biological age and therewith prolong the healthspan, the period of life one spends in good health. Target populations for geroprotective interventions should be chosen based on the ageing mechanisms being addressed and the expected effect of the geroprotector on the primary outcome. Biomarkers of ageing, such as DNA methylation age, can be used to select populations for geroprotective interventions and as a surrogate outcome. Here, the use of DNA methylation clocks for selecting target populations for geroprotective intervention is explored.
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Affiliation(s)
- Elena Sandalova
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore.
| | - Andrea B Maier
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore.
- Department of Human Movement Sciences, @AgeAmsterdam, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
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18
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Faria M, Ganz A, Galkin F, Zhavoronkov A, Snyder M. Psychogenic Aging: A Novel Prospect to Integrate Psychobiological Hallmarks of Aging. Transl Psychiatry 2024; 14:226. [PMID: 38816369 PMCID: PMC11139997 DOI: 10.1038/s41398-024-02919-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 12/20/2023] [Accepted: 05/08/2024] [Indexed: 06/01/2024] Open
Abstract
Psychological factors are amongst the most robust predictors of healthspan and longevity, yet are rarely incorporated into scientific and medical frameworks of aging. The prospect of characterizing and integrating the psychological influences of aging is therefore an unmet step for the advancement of geroscience. Psychogenic Aging research is an emerging branch of biogerontology that aims to address this gap by investigating the impact of psychological factors on human longevity. It is an interdisciplinary field that integrates complex psychological, neurological, and molecular relationships that can be best understood with precision medicine methodologies. This perspective argues that psychogenic aging should be considered an integral component of the Hallmarks of Aging framework, opening the doors for future biopsychosocial integration in longevity research. By providing a unique perspective on frequently overlooked aspects of organismal aging, psychogenic aging offers new insights and targets for anti-aging therapeutics on individual and societal levels that can significantly benefit the scientific and medical communities.
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Affiliation(s)
- Manuel Faria
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Ariel Ganz
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Alex Zhavoronkov
- Deep Longevity, Hong Kong, China
- Insilico Medicine, Hong Kong, China
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Michael Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
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19
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Beydoun MA, Beydoun HA, Ashe J, Georgescu MF, Horvath S, Lu A, Zannas AS, Shadyab AH, Jung SY, Wassertheil-Smoller S, Casanova R, Zonderman AB, Brunner RL. Relationships of depression and antidepressant use with epigenetic age acceleration and all-cause mortality among postmenopausal women. Aging (Albany NY) 2024; 16:8446-8471. [PMID: 38809417 PMCID: PMC11164525 DOI: 10.18632/aging.205868] [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: 10/30/2023] [Accepted: 05/03/2024] [Indexed: 05/30/2024]
Abstract
We investigated relations of depressive symptoms, antidepressant use, and epigenetic age acceleration with all-cause mortality risk among postmenopausal women. Data were analyzed from ≤1,900 participants in the Women's Health Initiative study testing four-way decomposition models. After a median 20.4y follow-up, 1,161 deaths occurred. Approximately 11% had elevated depressive symptoms (EDS+), 7% were taking antidepressant medication at baseline (ANTIDEP+), while 16.5% fell into either category (EDS_ANTIDEP+). Baseline ANTIDEP+, longitudinal transition into ANTIDEP+ and accelerated epigenetic aging directly predicted increased mortality risk. GrimAge DNA methylation age acceleration (AgeAccelGrim) partially mediated total effects of baseline ANTIDEP+ and EDS_ANTIDEP+ on all-cause mortality risk in socio-demographic factors-adjusted models (Pure Indirect Effect >0, P < 0.05; Total Effect >0, P < 0.05). Thus, higher AgeAccelGrim partially explained the relationship between antidepressant use and increased all-cause mortality risk, though only prior to controlling for lifestyle and health-related factors. Antidepressant use and epigenetic age acceleration independently predicted increased all-cause mortality risk. Further studies are needed in varying populations.
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Affiliation(s)
- May A. Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Hind A. Beydoun
- VA National Center on Homelessness Among Veterans, U.S. Department of Veterans Affairs, Washington, DC 20420, USA
- Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jason Ashe
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Michael F. Georgescu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Biostatistics, School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Ake Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Anthony S. Zannas
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, 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, CA 92093, USA
| | - Su Yon Jung
- Department of Epidemiology, Fielding School of Public Health, Translational Sciences Section, School of Nursing, University of California, Los Angeles, CA 90095, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Ramon Casanova
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - Alan B. Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Robert L. Brunner
- Department of Family and Community Medicine (Emeritus), School of Medicine, University of Nevada, Reno, NV 89557, USA
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20
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Harvanek ZM, Kudinova AY, Wong SA, Xu K, Brick L, Daniels TE, Marsit C, Burt A, Sinha R, Tyrka AR. Childhood adversity, accelerated GrimAge, and associated health consequences. J Behav Med 2024:10.1007/s10865-024-00496-0. [PMID: 38762606 DOI: 10.1007/s10865-024-00496-0] [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: 08/14/2023] [Accepted: 05/01/2024] [Indexed: 05/20/2024]
Abstract
Childhood adversity is linked to psychological, behavioral, and physical health problems, including obesity and cardiometabolic disease. Epigenetic alterations are one pathway through which the effects of early life stress and adversity might persist into adulthood. Epigenetic mechanisms have also been proposed to explain why cardiometabolic health can vary greatly between individuals with similar Body Mass Index (BMIs). We evaluated two independent cross-sectional cohorts of adults without known medical illness, one of which explicitly recruited individuals with early life stress (ELS) and control participants (n = 195), and the other a general community sample (n = 477). In these cohorts, we examine associations between childhood adversity, epigenetic aging, and metabolic health. Childhood adversity was associated with increased GrimAge Acceleration (GAA) in both cohorts, both utilizing a dichotomous yes/no classification (both p < 0.01) as well as a continuous measure using the Childhood Trauma Questionnaire (CTQ) (both p < 0.05). Further investigation demonstrated that CTQ subscales for physical and sexual abuse (both p < 0.05) were associated with increased GAA in both cohorts, whereas physical and emotional neglect were not. In both cohorts, higher CTQ was also associated with higher BMI and increased insulin resistance (both p < 0.05). Finally, we demonstrate a moderating effect of BMI on the relationship between GAA and insulin resistance where GAA correlated with insulin resistance specifically at higher BMIs. These results, which were largely replicated between two independent cohorts, suggest that interactions between epigenetics, obesity, and metabolic health may be important mechanisms through which childhood adversity contributes to long-term physical and metabolic health effects.
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Affiliation(s)
- Zachary M Harvanek
- Department of Psychiatry, Yale University, New Haven, CT, USA.
- Yale Stress Center, Yale University, New Haven, CT, USA.
| | - Anastacia Y Kudinova
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Bradley Hospital, Providence, RI, USA
| | - Samantha A Wong
- New York University Grossman School of Medicine, New York, USA
| | - Ke Xu
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychiatry, Connecticut Veteran Healthcare System, West Haven, CT, USA
| | - Leslie Brick
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Teresa E Daniels
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Bradley Hospital, Providence, RI, USA
- Initiative for Stress, Trauma, and Resilience, Alpert Medical School of Brown University, Providence, RI, USA
- Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Carmen Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Amber Burt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Rajita Sinha
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Yale Stress Center, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
- Child Study Center, Yale University, New Haven, CT, USA
| | - Audrey R Tyrka
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Initiative for Stress, Trauma, and Resilience, Alpert Medical School of Brown University, Providence, RI, USA
- Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
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21
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Zannas AS. Biological Aging and Mental Illness-A Vicious Cycle? JAMA Psychiatry 2024; 81:433-434. [PMID: 38477905 DOI: 10.1001/jamapsychiatry.2024.0084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
This Viewpoint discusses biological aging and mental illness.
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Affiliation(s)
- Anthony S Zannas
- Department of Psychiatry, University of North Carolina, Chapel Hill
- Department of Genetics, University of North Carolina, Chapel Hill
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22
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Ingram SJ, Vazquez AY, Klump KL, Hyde LW, Burt SA, Clark SL. Associations of depression and anxiety symptoms in childhood and adolescence with epigenetic aging. J Affect Disord 2024; 352:250-258. [PMID: 38360371 PMCID: PMC11000694 DOI: 10.1016/j.jad.2024.02.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 02/08/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Childhood anxiety and depression symptoms are potential risk factors for accelerated biological aging. In child and adolescent twins, we tested whether these symptoms were associated with DNA methylation (DNAm) aging, a measure of biological aging. METHODS 276 twins (135 pairs, 6 singletons) had DNAm assayed from saliva in middle childhood (mean = 7.8 years). Residuals of five different DNAm age estimates regressed on chronological age were used to indicate accelerated aging. Anxiety and depression symptoms were assessed in middle childhood and early adolescence using the Child Behavior Checklist. Mixed effect regression was used to examine potential relationships between anxiety or depression symptoms, and accelerated DNAm age. MZ twin difference analysis was then utilized to determine if associations were environmentally-driven or due to genetic or shared-environment confounding. RESULTS Anxiety and depression symptoms were not associated with accelerated DNAm aging in middle childhood. In early adolescence, only the Wu clock was significant and indicated that each one symptom increase in anxiety symptoms had an associated age acceleration of 0.03 years (~0.4 months; p = 0.019). MZ twin difference analysis revealed non-significant within-pair effects, suggesting genetic and shared environmental influences. LIMITATIONS Sample is predominantly male and white. Generalizability to other populations may be limited. CONCLUSION Accelerated DNAm aging of the Wu clock in middle childhood is associated with anxiety, but not depression, symptoms in early adolescence. Further, this association may be the result of shared genetic and environmental influences. Accelerated DNAm aging may serve as an early risk factor or predictor of later anxiety symptoms.
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Affiliation(s)
- Sarah J Ingram
- Interdisciplinary Graduate Program in Genetics, Department of Psychiatry & Behavioral Sciences, Texas A&M University, United States of America
| | - Alexandra Y Vazquez
- Department of Psychology, Michigan State University, United States of America
| | - Kelly L Klump
- Department of Psychology, Michigan State University, United States of America
| | - Luke W Hyde
- Department of Psychology, University of Michigan, United States of America
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, United States of America
| | - Shaunna L Clark
- Department of Psychiatry & Behavioral Sciences, Texas A&M University, United States of America.
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23
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Pantell MS, Silveira PP, de Mendonça Filho EJ, Wing H, Brown EM, Keeton VF, Pokhvisneva I, O'Donnell KJ, Neuhaus J, Hessler D, Meaney MJ, Adler NE, Gottlieb LM. Associations between Social Adversity and Biomarkers of Inflammation, Stress, and Aging in Children. Pediatr Res 2024; 95:1553-1563. [PMID: 38233512 PMCID: PMC11126389 DOI: 10.1038/s41390-023-02992-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 10/17/2023] [Accepted: 11/11/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND Prior work has found relationships between childhood social adversity and biomarkers of stress, but knowledge gaps remain. To help address these gaps, we explored associations between social adversity and biomarkers of inflammation (interleukin-1β [IL-1β], IL-6, IL-8, tumor necrosis factor-alpha [TNF-α], and salivary cytokine hierarchical "clusters" based on the three interleukins), neuroendocrine function (cortisol, cortisone, dehydroepiandrosterone, testosterone, and progesterone), neuromodulation (N-arachidonoylethanolamine, stearoylethanolamine, oleoylethanolamide, and palmitoylethanolamide), and epigenetic aging (Pediatric-Buccal-Epigenetic clock). METHODS We collected biomarker samples of children ages 0-17 recruited from an acute care pediatrics clinic and examined their associations with caregiver-endorsed education, income, social risk factors, and cumulative adversity. We calculated regression-adjusted means for each biomarker and compared associations with social factors using Wald tests. We used logistic regression to predict being in the highest cytokine cluster based on social predictors. RESULTS Our final sample included 537 children but varied based on each biomarker. Cumulative social adversity was significantly associated with having higher levels of all inflammatory markers and with cortisol, displaying a U-shaped distribution. There were no significant relationships between cumulative social adversity and cortisone, neuromodulation biomarkers or epigenetic aging. CONCLUSION Our findings support prior work suggesting that social stress exposures contribute to increased inflammation in children. IMPACT Our study is one of the largest studies examining associations between childhood social adversity and biomarkers of inflammation, neuroendocrine function, neuromodulation, and epigenetic aging. It is one of the largest studies to link childhood social adversity to biomarkers of inflammation, and the first of which we are aware to link cumulative social adversity to cytokine clusters. It is also one of the largest studies to examine associations between steroids and epigenetic aging among children, and one of the only studies of which we are aware to examine associations between social adversity and endocannabinoids among children. CLINICAL TRIAL REGISTRATION NCT02746393.
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Affiliation(s)
- Matthew S Pantell
- Division of Pediatric Hospital Medicine, Department of Pediatrics, University of California, San Francisco, CA, USA.
- Center for Health and Community, University of California, San Francisco, San Francisco, CA, USA.
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA.
| | - Patricia P Silveira
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Euclides José de Mendonça Filho
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Holly Wing
- Center for Health and Community, University of California, San Francisco, San Francisco, CA, USA
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA
| | | | - Victoria F Keeton
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, 490 Illinois St, Box 2930, 94143, San Francisco, CA, USA
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
| | - Kieran J O'Donnell
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Yale Child Study Center & Department of Obstetrics, Gynecology & Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Danielle Hessler
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA
- Department of Family and Community Medicine, University of California, San Francisco, CA, USA
| | - Michael J Meaney
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Nancy E Adler
- Center for Health and Community, University of California, San Francisco, San Francisco, CA, USA
| | - Laura M Gottlieb
- Center for Health and Community, University of California, San Francisco, San Francisco, CA, USA
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA
- Department of Family and Community Medicine, University of California, San Francisco, CA, USA
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24
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Forrester SN, Baek J, Hou L, Roger V, Kiefe CI. A Comparison of 5 Measures of Accelerated Biological Aging and Their Association With Incident Cardiovascular Disease: The CARDIA Study. J Am Heart Assoc 2024; 13:e032847. [PMID: 38606769 PMCID: PMC11262530 DOI: 10.1161/jaha.123.032847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 03/04/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Accelerated biological aging is an increasingly popular way to track the acceleration of biology over time that may not be captured by calendar time. Biological aging has been linked to external and internal chronic stressors and has the potential to be used clinically to understand a person's personalized functioning and predict future disease. We compared the association of different measures of biological aging and incident cardiovascular disease (CVD) overall and by race. METHODS AND RESULTS We used multiple informants models to compare the strength of clinical marker-derived age acceleration, 5 measures of epigenetic age acceleration (intrinsic and extrinsic epigenetic age acceleration, GrimAge acceleration, and PhenoAge acceleration), and 1 established clinical predictor of future CVD, Framingham 10-year risk score, with incident CVD over an 11-year period (2007-2018). Participants were 913 self-identified Black or White (41% and 59%, respectively) female or male (51% and 49%, respectively) individuals enrolled in the US-based CARDIA (Coronary Artery Risk Development in Young Adults) cohort study. The analytic baseline for this study was the 20-year follow-up examination (2005-2006; median age 45 years). We also included race-specific analysis. We found that all measures were modestly correlated with one another. However, clinical marker-derived age acceleration and Framingham 10-year risk score were more strongly associated with incident CVD than all the epigenetic measures. Clinical marker-derived age acceleration and Framingham 10-year risk score were not significantly different than one another in their association with incident CVD. CONCLUSIONS The type of accelerated aging measure should be taken into consideration when comparing their association with clinical outcomes. A multisystem clinical composite shows associations with incident CVD equally to a well-known clinical predictor.
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Affiliation(s)
- Sarah N. Forrester
- Division of Epidemiology, Department of Population and Quantitative Health SciencesUniversity of Massachusetts Chan Medical SchoolWorcesterMA
| | - Jonggyu Baek
- Division of Biostatistics and Health Services, Department of Population and Quantitative Health SciencesUniversity of Massachusetts Chan Medical SchoolWorcesterMA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of MedicineNorthwestern UniversityChicagoIL
| | - Veronique Roger
- Laboratory of Heart Disease PhenomicsNational Heart, Lung, and Blood InstituteBethesdaMD
| | - Catarina I. Kiefe
- Department of Population and Quantitative Health SciencesUniversity of Massachusetts Chan Medical SchoolWorcesterMA
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25
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Eachus H, Ryu S. Glucocorticoid effects on the brain: from adaptive developmental plasticity to allostatic overload. J Exp Biol 2024; 227:jeb246128. [PMID: 38449327 PMCID: PMC10949071 DOI: 10.1242/jeb.246128] [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] [Indexed: 03/08/2024]
Abstract
Exposure to stress during early life may alter the developmental trajectory of an animal by a mechanism known as adaptive plasticity. For example, to enhance reproductive success in an adverse environment, it is known that animals accelerate their growth during development. However, these short-term fitness benefits are often associated with reduced longevity, a phenomenon known as the growth rate-lifespan trade-off. In humans, early life stress exposure compromises health later in life and increases disease susceptibility. Glucocorticoids (GCs) are major stress hormones implicated in these processes. This Review discusses the evidence for GC-mediated adaptive plasticity in development, leading to allostatic overload in later life. We focus on GC-induced effects on brain structure and function, including neurogenesis; highlight the need for longitudinal studies; and discuss approaches to identify molecular mechanisms mediating GC-induced alteration of the brain developmental trajectory leading to adult dysfunctions. Further understanding of how stress and GC exposure can alter developmental trajectories at the molecular and cellular level is of critical importance to reduce the burden of mental and physical ill health across the life course.
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Affiliation(s)
- Helen Eachus
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
| | - Soojin Ryu
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
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26
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Ding W, Xu Y, Kondracki AJ, Sun Y. Childhood adversity and accelerated reproductive events: a systematic review and meta-analysis. Am J Obstet Gynecol 2024; 230:315-329.e31. [PMID: 37820985 DOI: 10.1016/j.ajog.2023.10.005] [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: 05/08/2023] [Revised: 09/18/2023] [Accepted: 10/02/2023] [Indexed: 10/13/2023]
Abstract
OBJECTIVE Accelerated female reproductive events represent the early onset of reproductive events involving puberty, menarche, pregnancy loss, first sexual intercourse, first birth, parity, and menopause. This study aimed to explore the association between childhood adversity and accelerated female reproductive events. DATA SOURCES PubMed, Web of Science, and Embase were systematically searched from September 22, 2022 to September 23, 2022. STUDY ELIGIBILITY CRITERIA Observational cohort, cross-sectional, and case-control studies in human populations were included if they reported the time of reproductive events for female individuals with experience of childhood adversity and were published in English. METHODS Two reviewers independently screened studies, obtained data, and assessed study quality, and conflicts were resolved by a third reviewer. Dichotomous outcomes were evaluated using meta-analysis, and pooled odds ratios and 95% confidence intervals were generated using random-effects models. Moderation analysis and meta-regression were used to investigate heterogeneity. RESULTS In total, 21 cohort studies, 9 cross-sectional studies, and 3 case-control studies were identified. Overall, female individuals with childhood adversity were nearly 2 times more likely to report accelerated reproductive events than those with no adversity exposure (odds ratio, 1.91; 95% confidence interval, 1.33-2.76; I2=99.6%; P<.001). Moderation analysis indicated that effect sizes for the types of childhood adversity ranged from an odds ratio of 1.61 (95% confidence interval, 1.23-2.09) for low socioeconomic status to 2.13 (95% confidence interval, 1.14-3.99) for dysfunctional family dynamics. Among the 7 groups based on different reproductive events, including early onset of puberty, early menarche, early sexual initiation, teenage childbirth, preterm birth, pregnancy loss, and early menopause, early sexual initiation had a nonsignificant correlation with childhood adversity (odds ratio, 2.70; 95% confidence interval, 0.88-8.30; I2=99.9%; P<.001). Considerable heterogeneity (I2>75%) between estimates was observed for over half of the outcomes. Age, study type, and method of data collection could explain 35.9% of the variance. CONCLUSION The literature tentatively corroborates that female individuals who reported adverse events in childhood are more likely to experience accelerated reproductive events. This association is especially strong for exposure to abuse and dysfunctional family dynamics. However, the heterogeneity among studies was high, requiring caution in interpreting the findings and highlighting the need for further evaluation of the types and timing of childhood events that influence accelerated female reproductive events.
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Affiliation(s)
- Wenqin Ding
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Yuxiang Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Anthony J Kondracki
- Department of Community Medicine, Mercer University School of Medicine, Macon, GA
| | - Ying Sun
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Ministry of Education of the People's Republic of China, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China.
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27
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Ruiz-Narváez EA, Cozier Y, Zirpoli G, Rosenberg L, Palmer JR. Perceived Experiences of racism in Relation to Genome-Wide DNA Methylation and Epigenetic Aging in the Black Women's Health Study. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-01915-3. [PMID: 38324238 PMCID: PMC11303595 DOI: 10.1007/s40615-024-01915-3] [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: 10/20/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND African American women have a disproportionate burden of disease compared to US non-Hispanic white women. Exposure to psychosocial stressors may contribute to these health disparities. Racial discrimination, a major stressor for African American women, could affect health through epigenetic mechanisms. METHODS We conducted an epigenome-wide association study (EWAS) to examine the association of interpersonal racism (in daily life and in institutional settings) with DNA methylation in blood in 384 participants of the Black Women's Health Study (BWHS). We also evaluated whether a greater number of perceived experiences of racism was associated with epigenetic aging as measured using different methylation clocks. Models were adjusted for chronological age, body mass index, years of education, neighborhood SES, geographic region of residence, alcohol drinking, smoking, and technical covariates. RESULTS Higher scores of racism in daily life were associated with higher methylation levels at the cg04494873 site in chromosome 5 (β = 0.64%; 95% CI = 0.41%, 0.87%; P = 6.35E-08). We also replicated one CpG site, cg03317714, which was inversely associated with racial discrimination in a previous EWAS among African American women. In the BWHS, higher scores of racism in daily life were associated with lower methylation levels at that CpG site (β = -0.94%; 95% CI = -1.37%, -0.51%; P = 2.2E-05). Higher racism scores were associated with accelerated epigenetic aging in more than one methylation clock. CONCLUSIONS Exposure to discriminatory events may affect the epigenome and accelerate biological aging, which may explain in part the earlier onset of disease in African American women.
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Affiliation(s)
- Edward A Ruiz-Narváez
- Department of Nutritional Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, 1860 SPH I, Ann Arbor, MI, 48109, USA.
| | - Yvette Cozier
- Slone Epidemiology Center at, Boston University, Boston, MA, USA
| | - Gary Zirpoli
- Slone Epidemiology Center at, Boston University, Boston, MA, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at, Boston University, Boston, MA, USA
| | - Julie R Palmer
- Slone Epidemiology Center at, Boston University, Boston, MA, USA
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28
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Mrug S, Barker-Kamps M, Goering M, Patki A, Tiwari HK. Neighborhood Disadvantage and Parenting in Early Adolescence Predict Epigenetic Aging and Mortality Risk in Adulthood. J Youth Adolesc 2024; 53:258-272. [PMID: 37715862 DOI: 10.1007/s10964-023-01863-x] [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: 09/12/2022] [Accepted: 09/04/2023] [Indexed: 09/18/2023]
Abstract
Youth who grow up in disadvantaged neighborhoods experience poorer health later in life, but little is known about the biological mechanisms underlying these effects and socioenvironmental factors that may protect youth from the biological embedding of neighborhood adversity. This study tests whether supportive and consistent parenting buffers associations between neighborhood disadvantage in early adolescence and epigenetic aging in adulthood. A community sample from Birmingham, Alabama, USA (N = 343; 57% female; 81% Black, 19% White) was assessed in early adolescence (T1; ages 11 and 13) and adulthood (T2; age 27). At T1, neighborhood poverty was derived from census data and neighborhood disorder was reported by caregivers. Both youth and parents reported on parental discipline and nurturance. At T2, methylation of salivary DNA was used to derive a mortality risk index and Hannum, Horvath, PhenoAge, and GrimAge epigenetic age estimators. Regression analyses revealed that neighborhood disadvantage was associated with accelerated epigenetic aging and/or mortality risk only when combined with high levels of harsh and inconsistent discipline and low child-reported parental nurturance. These findings identify epigenetic aging and mortality risk as relevant mechanisms through which neighborhood adversity experienced in adolescence may affect later health; they also point to the importance of supportive and consistent parenting for reducing the biological embedding of neighborhood adversity in early adolescence.
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Affiliation(s)
- Sylvie Mrug
- Department of Psychology, University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL, 35294, USA.
| | - Malcolm Barker-Kamps
- Department of Psychology, University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL, 35294, USA
| | - Marlon Goering
- Department of Psychology, University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL, 35294, USA
| | - Amit Patki
- Department of Biostatistics, University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL, 35294, USA
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, 1720 2nd Ave South, Birmingham, AL, 35294, USA
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29
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Skinner HG, Palma-Gudiel H, Stewart JD, Love SA, Bhatti P, Shadyab AH, Wallace RB, Salmoirago-Blotcher E, Manson JE, Kroenke CH, Belsky DW, Li Y, Whitsel EA, Zannas AS. Stressful life events, social support, and epigenetic aging in the Women's Health Initiative. J Am Geriatr Soc 2024; 72:349-360. [PMID: 38149693 PMCID: PMC10922473 DOI: 10.1111/jgs.18726] [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: 04/19/2023] [Revised: 10/06/2023] [Accepted: 10/14/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND Elevated psychosocial stress has been linked with accelerated biological aging, including composite DNA methylation (DNAm) markers that predict aging-related outcomes ("epigenetic age"). However, no study has examined whether stressful life events (SLEs) are associated with epigenetic age acceleration in postmenopausal women, an aging population characterized by increased stress burden and disease risk. METHODS We leveraged the Women's Health Initiative, a large muti-ancestry cohort of postmenopausal women with available psychosocial stress measures over the past year and epigenomic data. SLEs and social support were ascertained via self-report questionnaires. Whole blood DNAm array (450 K) data were used to calculate five DNAm-based predictors of chronological age, health span and life span, and telomere length (HorvathAge, HannumAge, PhenoAge, GrimAge, DNAmTL). RESULTS After controlling for potential confounders, higher SLE burden was significantly associated with accelerated epigenetic aging, as measured by GrimAge (β: 0.34, 95% CI: 0.08, 0.59) and DNAmTL (β: -0.016, 95% CI: -0.028, -0.004). Exploratory analyses showed that SLEs-GrimAge associations were stronger in Black women as compared to other races/ethnicities and in those with lower social support levels. In women with lower social support, SLEs-DNAmTL associations showed opposite association in Hispanic women as compared to other race/ethnicity groups. CONCLUSIONS Our findings suggest that elevated stress burden is associated with accelerated epigenetic aging in postmenopausal women. Lower social support and/or self-reported race/ethnicity may modify the association of stress with epigenetic age acceleration. These findings advance understanding of how stress may contribute to aging-related outcomes and have important implications for disease prevention and treatment in aging women.
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Affiliation(s)
- Harlyn G. Skinner
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Helena Palma-Gudiel
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James D. Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Shelly-Ann Love
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Social and Scientific Systems Inc, a DLH Holdings company, Durham, NC, USA
| | - Parveen Bhatti
- Cancer Control Research, British Columbia Cancer Research Institute, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Robert B. Wallace
- Department of Epidemiology and Internal Medicine, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Candyce H. Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Daniel W. Belsky
- Department of Epidemiology, Columbia University, New York, NY USA
- Robert N. Butler Columbia Aging Center, Columbia University, New York, NY USA
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anthony S. Zannas
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Stress Initiative, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Wolf EJ, Miller MW, Hawn SE, Zhao X, Wallander SE, McCormick B, Govan C, Rasmusson A, Stone A, Schichman SA, Logue MW. Longitudinal study of traumatic-stress related cellular and cognitive aging. Brain Behav Immun 2024; 115:494-504. [PMID: 37967663 PMCID: PMC10843744 DOI: 10.1016/j.bbi.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/18/2023] [Accepted: 11/11/2023] [Indexed: 11/17/2023] Open
Abstract
Traumatic stress is associated with both accelerated epigenetic age and increased risk for dementia. Accelerated epigenetic age might link symptoms of traumatic stress to dementia-associated biomarkers, such as amyloid-beta (Aβ) proteins, neurofilament light (NFL), and inflammatory molecules. We tested this hypothesis using longitudinal data obtained from 214 trauma-exposed military veterans (85 % male, mean age at baseline: 53 years, 75 % White) who were assessed twice over the course of an average of 5.6 years. Cross-lagged panel mediation models evaluated measures of lifetime posttraumatic stress disorder and internalizing and externalizing comorbidity (assessed at Time 1; T1) in association with T1 epigenetic age (per the GrimAge algorithm) and T1 plasma markers of neuropathology along with bidirectional temporal paths between T1 and T2 epigenetic age and the plasma markers. Results revealed that a measure of externalizing comorbidity was associated with accelerated epigenetic age (β = 0.30, p <.01), which in turn, was associated with subsequent increases in Aβ-40 (β = 0.20, p <.001), Aβ-42 (β = 0.18, p <.001), and interleukin-6 (β = 0.18, p <.01). T1 advanced epigenetic age and the T1 neuropathology biomarkers NFL and glial fibrillary acidic protein predicted worse performance on T2 neurocognitive tasks assessing working memory, executive/attentional control, and/or verbal memory (ps = 0.03 to 0.009). Results suggest that advanced GrimAge is predictive of subsequent increases in neuropathology and inflammatory biomarkers as well as worse cognitive function, highlighting the clinical significance of this biomarker with respect to cognitive aging and brain health over time. The finding that advanced GrimAge mediated the association between psychiatric comorbidity and future neuropathology is important for understanding potential pathways to neurodegeneration and early identification of those at greatest risk.
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Affiliation(s)
- Erika J Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA.
| | - Mark W Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Sage E Hawn
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Old Dominion University, Department of Psychology, Norfolk, VA, USA
| | - Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Sara E Wallander
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Beth McCormick
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Christine Govan
- MAVERIC Central Biorepository, VA Boston Healthcare System, Boston, MA, USA
| | - Ann Rasmusson
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Annjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Steven A Schichman
- Pathology and Laboratory Medicine Service, Central Arkansas Veterans Healthcare System, USA; Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mark W Logue
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA; Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA; Boston University School of Medicine, Department of Medicine, Biomedical Genetics, Boston, MA, USA
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31
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Dutta S, Goodrich JM, Dolinoy DC, Ruden DM. Biological Aging Acceleration Due to Environmental Exposures: An Exciting New Direction in Toxicogenomics Research. Genes (Basel) 2023; 15:16. [PMID: 38275598 PMCID: PMC10815440 DOI: 10.3390/genes15010016] [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: 11/27/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 01/27/2024] Open
Abstract
Biological clock technologies are designed to assess the acceleration of biological age (B-age) in diverse cell types, offering a distinctive opportunity in toxicogenomic research to explore the impact of environmental stressors, social challenges, and unhealthy lifestyles on health impairment. These clocks also play a role in identifying factors that can hinder aging and promote a healthy lifestyle. Over the past decade, researchers in epigenetics have developed testing methods that predict the chronological and biological age of organisms. These methods rely on assessing DNA methylation (DNAm) levels at specific CpG sites, RNA levels, and various biomolecules across multiple cell types, tissues, and entire organisms. Commonly known as 'biological clocks' (B-clocks), these estimators hold promise for gaining deeper insights into the pathways contributing to the development of age-related disorders. They also provide a foundation for devising biomedical or social interventions to prevent, reverse, or mitigate these disorders. This review article provides a concise overview of various epigenetic clocks and explores their susceptibility to environmental stressors.
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Affiliation(s)
- Sudipta Dutta
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA;
| | - Jaclyn M. Goodrich
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (J.M.G.); (D.C.D.)
| | - Dana C. Dolinoy
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (J.M.G.); (D.C.D.)
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Douglas M. Ruden
- C. S. Mott Center for Human Health and Development, Department of Obstetrics and Gynecology, Institute of Environmental Health Sciences, Wayne State University, Detroit, MI 48202, USA
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Clair A, Baker E, Kumari M. Are housing circumstances associated with faster epigenetic ageing? J Epidemiol Community Health 2023; 78:40-46. [PMID: 37816534 PMCID: PMC10715511 DOI: 10.1136/jech-2023-220523] [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: 02/28/2023] [Accepted: 08/01/2023] [Indexed: 10/12/2023]
Abstract
BACKGROUND Numerous aspects of housing are associated with health. However, the pathways between housing and health, particularly the psychosocial elements of housing, are less well understood. Epigenetic information alongside social survey data offers an opportunity to explore biological ageing, measured using DNA methylation, as a potential pathway through which housing affects health. METHODS We use data on housing and DNA methylation from the UK Household Longitudinal Study, linked with prior survey responses from the British Household Panel Survey, covering adults in Great Britain. We explore the association between epigenetic ageing and housing circumstances, both contemporary and historical, using hierarchical regression. RESULTS We find that living in a privately rented home is related to faster biological ageing. Importantly, the impact of private renting (coefficient (SE) 0.046 years (0.011) vs owned outright, p<0.001) is greater than the impact of experiencing unemployment (coefficient 0.027 years (0.012) vs employed, p<0.05) or being a former smoker (coefficient 0.021 years (0.005) vs never smoker, p<0.001). When we include historical housing circumstances in the analysis, we find that repeated housing arrears and exposure to pollution/environmental problems are also associated with faster biological ageing. CONCLUSION Our results suggest that challenging housing circumstances negatively affect health through faster biological ageing. However, biological ageing is reversible, highlighting the significant potential for housing policy changes to improve health.
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Affiliation(s)
- Amy Clair
- Australian Centre for Housing Research, The University of Adelaide, Adelaide, South Australia, Australia
| | - Emma Baker
- Australian Centre for Housing Research, The University of Adelaide, Adelaide, South Australia, Australia
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, Colchester, UK
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Hamlat EJ, Neilands TB, Laraia B, Zhang J, Lu AT, Lin J, Horvath S, Epel ES. Early life adversity predicts an accelerated cellular aging phenotype through early timing of puberty. Psychol Med 2023; 53:7720-7728. [PMID: 37325994 PMCID: PMC11131158 DOI: 10.1017/s0033291723001629] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
BACKGROUND The current study examined if early adversity was associated with accelerated biological aging, and if effects were mediated by the timing of puberty. METHODS In early mid-life, 187 Black and 198 White (Mage = 39.4, s.d.age = 1.2) women reported on early abuse and age at first menstruation (menarche). Women provided saliva and blood to assess epigenetic aging, telomere length, and C-reactive protein. Using structural equation modeling, we created a latent variable of biological aging using epigenetic aging, telomere length, and C-reactive protein as indicators, and a latent variable of early abuse using indicators of abuse/threat events before age 13, physical abuse, and sexual abuse. We estimated the indirect effects of early abuse and of race on accelerated aging through age at menarche. Race was used as a proxy for adversity in the form of systemic racism. RESULTS There was an indirect effect of early adversity on accelerated aging through age at menarche (b = 0.19, 95% CI 0.03-0.44), in that women who experienced more adversity were younger at menarche, which was associated with greater accelerated aging. There was also an indirect effect of race on accelerated aging through age at menarche (b = 0.25, 95% CI 0.04-0.52), in that Black women were younger at menarche, which led to greater accelerated aging. CONCLUSIONS Early abuse and being Black in the USA may both induce a phenotype of accelerated aging. Early adversity may begin to accelerate aging during childhood, in the form of early pubertal timing.
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Affiliation(s)
- Elissa J. Hamlat
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Torsten B. Neilands
- Division of Prevention Science | Department of Medicine, University of California, San Francisco, CA, USA
| | - Barbara Laraia
- School of Public Health, University of California, Berkeley, CA, USA
| | - Joshua Zhang
- Department of Human Genetics, University of California, Los Angeles, CA, USA
| | - Ake T. Lu
- Department of Human Genetics, University of California, Los Angeles, CA, USA
| | - Jue Lin
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Steve Horvath
- Department of Human Genetics, University of California, Los Angeles, CA, USA
- Department of Biostatistics, University of California, Los Angeles, CA, USA
- Altos Labs, San Diego, CA, USA
| | - Elissa S. Epel
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
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Christian LM, Wilson SJ, Madison AA, Prakash RS, Burd CE, Rosko AE, Kiecolt-Glaser JK. Understanding the health effects of caregiving stress: New directions in molecular aging. Ageing Res Rev 2023; 92:102096. [PMID: 37898293 PMCID: PMC10824392 DOI: 10.1016/j.arr.2023.102096] [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: 07/08/2023] [Revised: 10/11/2023] [Accepted: 10/23/2023] [Indexed: 10/30/2023]
Abstract
Dementia caregiving has been linked to multiple health risks, including infectious illness, depression, anxiety, immune dysregulation, weakened vaccine responses, slow wound healing, hypertension, cardiovascular disease, metabolic syndrome, diabetes, frailty, cognitive decline, and reduced structural and functional integrity of the brain. The sustained overproduction of proinflammatory cytokines is a key pathway behind many of these risks. However, contrasting findings suggest that some forms of caregiving may have beneficial effects, such as maintaining caregivers' health and providing a sense of meaning and purpose which, in turn, may contribute to lower rates of functional decline and mortality. The current review synthesizes these disparate literatures, identifies methodological sources of discrepancy, and integrates caregiver research with work on aging biomarkers to propose a research agenda that traces the mechanistic pathways of caregivers' health trajectories with a focus on the unique stressors facing spousal caregivers as compared to other informal caregivers. Combined with a focus on psychosocial moderators and mechanisms, studies using state-of-the-art molecular aging biomarkers such as telomere length, p16INK4a, and epigenetic age could help to reconcile mixed literature on caregiving's sequelae by determining whether and under what conditions caregiving-related experiences contribute to faster aging, in part through inflammatory biology. The biomarkers predict morbidity and mortality, and each contributes non-redundant information about age-related molecular changes -together painting a more complete picture of biological aging. Indeed, assessing changes in these biopsychosocial mechanisms over time would help to clarify the dynamic relationships between caregiving experiences, psychological states, immune function, and aging.
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Affiliation(s)
- Lisa M Christian
- Department of Psychiatry & Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA; The Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
| | - Stephanie J Wilson
- Department of Psychology, Southern Methodist University, University Park, TX, USA
| | - Annelise A Madison
- The Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Ruchika S Prakash
- Department of Psychology, The Ohio State University, Columbus, OH, USA; Center for Cognitive and Behavioral Brain Imaging, Ohio State University, Columbus, OH, USA
| | - Christin E Burd
- Departments of Molecular Genetics, Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Ashley E Rosko
- Division of Hematology, The Ohio State University, Columbus, OH, USA
| | - Janice K Kiecolt-Glaser
- Department of Psychiatry & Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA; The Institute for Behavioral Medicine Research, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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Yu Y, Wang S, Wang Z, Gao R, Lee J. Arabidopsis thaliana: a powerful model organism to explore histone modifications and their upstream regulations. Epigenetics 2023; 18:2211362. [PMID: 37196184 DOI: 10.1080/15592294.2023.2211362] [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: 11/24/2022] [Revised: 04/07/2023] [Accepted: 04/28/2023] [Indexed: 05/19/2023] Open
Abstract
Histones are subjected to extensive covalent modifications that affect inter-nucleosomal interactions as well as alter chromatin structure and DNA accessibility. Through switching the corresponding histone modifications, the level of transcription and diverse downstream biological processes can be regulated. Although animal systems are widely used in studying histone modifications, the signalling processes that occur outside the nucleus prior to histone modifications have not been well understood due to the limitations including non viable mutants, partial lethality, and infertility of survivors. Here, we review the benefits of using Arabidopsis thaliana as the model organism to study histone modifications and their upstream regulations. Similarities among histones and key histone modifiers such as the Polycomb group (PcG) and Trithorax group (TrxG) in Drosophila, Human, and Arabidopsis are examined. Furthermore, prolonged cold-induced vernalization system has been well-studied and revealed the relationship between the controllable environment input (duration of vernalization), its chromatin modifications of FLOWERING LOCUS C (FLC), following gene expression, and the corresponding phenotypes. Such evidence suggests that research on Arabidopsis can bring insights into incomplete signalling pathways outside of the histone box, which can be achieved through viable reverse genetic screenings based on the phenotypes instead of direct monitoring of histone modifications among individual mutants. The potential upstream regulators in Arabidopsis can provide cues or directions for animal research based on the similarities between them.
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Affiliation(s)
- Yang Yu
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Sihan Wang
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Ziqin Wang
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Renwei Gao
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Joohyun Lee
- Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, China
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McKenna BG, Choi J, Brennan PA, K Knight A, Smith AK, R Pilkay S, Corwin EJ, Dunlop AL. Maternal Adversity and Epigenetic Age Acceleration Predict Heightened Emotional Reactivity in Offspring: Implications for Intergenerational Transmission of Risk. Res Child Adolesc Psychopathol 2023; 51:1753-1767. [PMID: 36227464 DOI: 10.1007/s10802-022-00981-7] [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] [Accepted: 09/23/2022] [Indexed: 11/06/2022]
Abstract
Black American women are disproportionately exposed to adversities that may have an intergenerational impact on mental health. The present study examined whether maternal exposure to adversity and epigenetic age acceleration (EAA; a biomarker of stress exposure) predicts the socioemotional health of her offspring. During pregnancy, 180 Black American women self-reported experiences of childhood adversity and marginalization-related adversity (i.e., racial discrimination and gendered racial stress) and provided a blood sample for epigenetic assessment. At a three-year follow-up visit, women reported their offspring's emotional reactivity (an early indicator of psychopathology) via the CBCL/1.5-5. After adjusting for maternal education and offspring sex, results indicated that greater maternal experiences of childhood trauma (β = 0.21, SE(β) = 0.01; p = 0.01) and racial discrimination (β = 0.14, SE(β) = 0.07; p = 0.049) predicted greater offspring emotional reactivity, as did maternal EAA (β = 0.17, SE(β) = 0.09, p = 0.046). Our findings suggest that maternal EAA could serve as an early biomarker for intergenerational risk conferred by maternal adversity, and that 'maternal adversity' must be defined more broadly to include social marginalization, particularly for Black Americans.
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Affiliation(s)
- Brooke G McKenna
- Department of Psychology, Emory University, Atlanta, GA, 30322, USA.
| | - Joanne Choi
- Department of Psychology, Emory University, Atlanta, GA, 30322, USA
| | | | - Anna K Knight
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, 30322, USA
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, 30322, USA
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
| | - Stefanie R Pilkay
- School of Social Work, Syracuse University, Syracuse, NY, 13244, USA
| | | | - Anne L Dunlop
- School of Nursing, Emory University, Atlanta, GA, 30322, USA
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Quinn EB, Hsiao CJ, Maisha FM, Mulligan CJ. Prenatal maternal stress is associated with site-specific and age acceleration changes in maternal and newborn DNA methylation. Epigenetics 2023; 18:2222473. [PMID: 37300821 PMCID: PMC10259347 DOI: 10.1080/15592294.2023.2222473] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/10/2023] [Accepted: 06/01/2023] [Indexed: 06/12/2023] Open
Abstract
Prenatal maternal stress has a negative impact on child health but the mechanisms through which maternal stress affects child health are unclear. Epigenetic variation, such as DNA methylation, is a likely mechanistic candidate as DNA methylation is sensitive to environmental insults and can regulate long-term changes in gene expression. We recruited 155 mother-newborn dyads in the Democratic Republic of Congo to investigate the effects of maternal stress on DNA methylation in mothers and newborns. We used four measures of maternal stress to capture a range of stressful experiences: general trauma, sexual trauma, war trauma, and chronic stress. We identified differentially methylated positions (DMPs) associated with general trauma, sexual trauma, and war trauma in both mothers and newborns. No DMPs were associated with chronic stress. Sexual trauma was positively associated with epigenetic age acceleration across several epigenetic clocks in mothers. General trauma and war trauma were positively associated with newborn epigenetic age acceleration using the extrinsic epigenetic age clock. We tested the top DMPs for enrichment of DNase I hypersensitive sites (DHS) and found no enrichment in mothers. In newborns, top DMPs associated with war trauma were enriched for DHS in embryonic and foetal cell types. Finally, one of the top DMPs associated with war trauma in newborns also predicted birthweight, completing the cycle from maternal stress to DNA methylation to newborn health outcome. Our results indicate that maternal stress is associated with site-specific changes in DNAm and epigenetic age acceleration in both mothers and newborns.
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Affiliation(s)
- Edward B. Quinn
- Department of Anthropology, University of Florida, Gainesville, FL, USA
- Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Chu J. Hsiao
- Department of Anthropology, University of Florida, Gainesville, FL, USA
- Genetics Institute, University of Florida, Gainesville, FL, USA
- College of Medicine, University of Florida, Gainesville, FL, USA
| | - Felicien M. Maisha
- Department of Anthropology, University of Florida, Gainesville, FL, USA
- Genetics Institute, University of Florida, Gainesville, FL, USA
- Democratic Republic of Congo, HEAL Africa Hospital, Goma, USA
- Democratic Republic of Congo, Maisha Institute, Goma, USA
| | - Connie J. Mulligan
- Department of Anthropology, University of Florida, Gainesville, FL, USA
- Genetics Institute, University of Florida, Gainesville, FL, USA
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Schmitz LL, Duffie E, Zhao W, Ratliff SM, Ding J, Liu Y, Merkin SS, Smith JA, Seeman T. Associations of Early-Life Adversity With Later-Life Epigenetic Aging Profiles in the Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol 2023; 192:1991-2005. [PMID: 37579321 PMCID: PMC10988110 DOI: 10.1093/aje/kwad172] [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: 09/09/2022] [Revised: 06/28/2023] [Accepted: 08/09/2023] [Indexed: 08/16/2023] Open
Abstract
Epigenetic biomarkers of accelerated aging have been widely used to predict disease risk and may enhance our understanding of biological mechanisms between early-life adversity and disparities in aging. With respect to childhood adversity, most studies have used parental education or childhood disadvantage and/or have not examined the role played by socioemotional or physical abuse and trauma in epigenetic profiles at older ages. This study leveraged data from the Multi-Ethnic Study of Atherosclerosis (MESA) on experiences of threat and deprivation in participants' early lives (i.e., before the age of 18 years) to examine whether exposure to specific dimensions of early-life adversity is associated with epigenetic profiles at older ages that are indicative of accelerated biological aging. The sample included 842 MESA respondents with DNA methylation data collected between 2010 and 2012 who answered questions on early-life adversities in a 2018-2019 telephone follow-up. We found that experiences of deprivation, but not threat, were associated with later-life GrimAge epigenetic aging signatures that were developed to predict mortality risk. Results indicated that smoking behavior partially mediates this association, which suggests that lifestyle behaviors may act as downstream mechanisms between parental deprivation in early life and accelerated epigenetic aging in later life.
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Affiliation(s)
- Lauren L Schmitz
- Correspondence to Dr. Lauren L. Schmitz, Robert M. La Follette School of Public Affairs, University of Wisconsin–Madison, 1225 Observatory Drive, Madison, WI 53706 (e-mail: )
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Harvanek ZM, Boks MP, Vinkers CH, Higgins-Chen AT. The Cutting Edge of Epigenetic Clocks: In Search of Mechanisms Linking Aging and Mental Health. Biol Psychiatry 2023; 94:694-705. [PMID: 36764569 PMCID: PMC10409884 DOI: 10.1016/j.biopsych.2023.02.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 02/11/2023]
Abstract
Individuals with psychiatric disorders are at increased risk of age-related diseases and early mortality. Recent studies demonstrate that this link between mental health and aging is reflected in epigenetic clocks, aging biomarkers based on DNA methylation. The reported relationships between epigenetic clocks and mental health are mostly correlational, and the mechanisms are poorly understood. Here, we review recent progress concerning the molecular and cellular processes underlying epigenetic clocks as well as novel technologies enabling further studies of the causes and consequences of epigenetic aging. We then review the current literature on how epigenetic clocks relate to specific aspects of mental health, such as stress, medications, substance use, health behaviors, and symptom clusters. We propose an integrated framework where mental health and epigenetic aging are each broken down into multiple distinct processes, which are then linked to each other, using stress and schizophrenia as examples. This framework incorporates the heterogeneity and complexity of both mental health conditions and aging, may help reconcile conflicting results, and provides a basis for further hypothesis-driven research in humans and model systems to investigate potentially causal mechanisms linking aging and mental health.
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Affiliation(s)
- Zachary M Harvanek
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Marco P Boks
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University of Utrecht, Utrecht, the Netherlands
| | - Christiaan H Vinkers
- Department of Psychiatry, Amsterdam University Medical Center, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Albert T Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Pathology, Yale University School of Medicine, New Haven, Connecticut.
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Zannas AS, Linnstaedt SD, An X, Stevens JS, Harnett NG, Roeckner AR, Oliver KI, Rubinow DR, Binder EB, Koenen KC, Ressler KJ, McLean SA. Epigenetic aging and PTSD outcomes in the immediate aftermath of trauma. Psychol Med 2023; 53:7170-7179. [PMID: 36951141 DOI: 10.1017/s0033291723000636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
BACKGROUND Psychological trauma exposure and posttraumatic stress disorder (PTSD) have been associated with advanced epigenetic age. However, whether epigenetic aging measured at the time of trauma predicts the subsequent development of PTSD outcomes is unknown. Moreover, the neural substrates underlying posttraumatic outcomes associated with epigenetic aging are unclear. METHODS We examined a multi-ancestry cohort of women and men (n = 289) who presented to the emergency department (ED) after trauma. Blood DNA was collected at ED presentation, and EPIC DNA methylation arrays were used to assess four widely used metrics of epigenetic aging (HorvathAge, HannumAge, PhenoAge, and GrimAge). PTSD symptoms were evaluated longitudinally at the time of ED presentation and over the ensuing 6 months. Structural and functional neuroimaging was performed 2 weeks after trauma. RESULTS After covariate adjustment and correction for multiple comparisons, advanced ED GrimAge predicted increased risk for 6-month probable PTSD diagnosis. Secondary analyses suggested that the prediction of PTSD by GrimAge was driven by worse trajectories for intrusive memories and nightmares. Advanced ED GrimAge was also associated with reduced volume of the whole amygdala and specific amygdala subregions, including the cortico-amygdaloid transition and the cortical and accessory basal nuclei. CONCLUSIONS Our findings shed new light on the relation between biological aging and trauma-related phenotypes, suggesting that GrimAge measured at the time of trauma predicts PTSD trajectories and is associated with relevant brain alterations. Furthering these findings has the potential to enhance early prevention and treatment of posttraumatic psychiatric sequelae.
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Affiliation(s)
- Anthony S Zannas
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Stress Initiative, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xinming An
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Nathaniel G Harnett
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Alyssa R Roeckner
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Katelyn I Oliver
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - David R Rubinow
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Karestan C Koenen
- Department of Epidemiology, Harvard School of Public Health, Harvard University, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Harvard University, Boston, MA, USA
| | - Kerry J Ressler
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Samuel A McLean
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Topriceanu CC, Dev E, Ahmad M, Hughes R, Shiwani H, Webber M, Direk K, Wong A, Ugander M, Moon JC, Hughes AD, Maddock J, Schlegel TT, Captur G. Accelerated DNA methylation age plays a role in the impact of cardiovascular risk factors on the human heart. Clin Epigenetics 2023; 15:164. [PMID: 37853450 PMCID: PMC10583368 DOI: 10.1186/s13148-023-01576-9] [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: 06/27/2023] [Accepted: 09/29/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND DNA methylation (DNAm) age acceleration (AgeAccel) and cardiac age by 12-lead advanced electrocardiography (A-ECG) are promising biomarkers of biological and cardiac aging, respectively. We aimed to explore the relationships between DNAm age and A-ECG heart age and to understand the extent to which DNAm AgeAccel relates to cardiovascular (CV) risk factors in a British birth cohort from 1946. RESULTS We studied four DNAm ages (AgeHannum, AgeHorvath, PhenoAge, and GrimAge) and their corresponding AgeAccel. Outcomes were the results from two publicly available ECG-based cardiac age scores: the Bayesian A-ECG-based heart age score of Lindow et al. 2022 and the deep neural network (DNN) ECG-based heart age score of Ribeiro et al. 2020. DNAm AgeAccel was also studied relative to results from two logistic regression-based A-ECG disease scores, one for left ventricular (LV) systolic dysfunction (LVSD), and one for LV electrical remodeling (LVER). Generalized linear models were used to explore the extent to which any associations between biological cardiometabolic risk factors (body mass index, hypertension, diabetes, high cholesterol, previous cardiovascular disease [CVD], and any CV risk factor) and the ECG-based outcomes are mediated by DNAm AgeAccel. We derived the total effects, average causal mediation effects (ACMEs), average direct effects (ADEs), and the proportion mediated [PM] with their 95% confidence intervals [CIs]. 498 participants (all 60-64 years) were included, with the youngest ECG heart age being 27 and the oldest 90. When exploring the associations between cardiometabolic risk factors and Bayesian A-ECG cardiac age, AgeAccelPheno appears to be a partial mediator, as ACME was 0.23 years [0.01, 0.52] p = 0.028 (i.e., PM≈18%) for diabetes, 0.34 [0.03, 0.74] p = 0.024 (i.e., PM≈15%) for high cholesterol, and 0.34 [0.03, 0.74] p = 0.024 (PM≈15%) for any CV risk factor. Similarly, AgeAccelGrim mediates ≈30% of the relationship between diabetes or high cholesterol and the DNN ECG-based heart age. When exploring the link between cardiometabolic risk factors and the A-ECG-based LVSD and LVER scores, it appears that AgeAccelPheno or AgeAccelGrim mediate 10-40% of these associations. CONCLUSION By the age of 60, participants with accelerated DNA methylation appear to have older, weaker, and more electrically impaired hearts. We show that the harmful effects of CV risk factors on cardiac age and health, appear to be partially mediated by DNAm AgeAccelPheno and AgeAccelGrim. This highlights the need to further investigate the potential cardioprotective effects of selective DNA methyltransferases modulators.
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Affiliation(s)
- Constantin-Cristian Topriceanu
- UCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK
- UCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK
- Cardiac MRI Unit, Barts Heart Centre, West Smithfield, London, UK
| | - Eesha Dev
- UCL Medical School, Gower Street, London, UK
| | - Mahmood Ahmad
- Centre for Inherited Heart Muscle Conditions, The Royal Free Hospital, Pond Street, Hampstead, London, UK
| | - Rebecca Hughes
- UCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK
- Cardiac MRI Unit, Barts Heart Centre, West Smithfield, London, UK
| | - Hunain Shiwani
- UCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK
- Cardiac MRI Unit, Barts Heart Centre, West Smithfield, London, UK
| | - Matthew Webber
- UCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK
- UCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK
| | - Kenan Direk
- UCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK
| | - Andrew Wong
- UCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK
| | - Martin Ugander
- Kolling Institute Royal North Shore Hospital, and Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden
| | - James C Moon
- UCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK
- Cardiac MRI Unit, Barts Heart Centre, West Smithfield, London, UK
| | - Alun D Hughes
- UCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK
- UCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK
| | - Jane Maddock
- UCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK
- UCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK
| | - Todd T Schlegel
- Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden
- Nicollier-Schlegel SARL, Trélex, Switzerland
| | - Gabriella Captur
- UCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK.
- UCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK.
- Centre for Inherited Heart Muscle Conditions, The Royal Free Hospital, Pond Street, Hampstead, London, UK.
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42
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Iannuzzi V, Sarno S, Sazzini M, Abondio P, Sala C, Bacalini MG, Gentilini D, Calzari L, Masciotta F, Garagnani P, Castellani G, Moretti E, Dasso MC, Sevini F, Franceschi ZA, Franceschi C, Pettener D, Luiselli D, Giuliani C. Epigenetic aging differences between Wichí and Criollos from Argentina: Insights from genomic history and ecology. Evol Med Public Health 2023; 11:397-414. [PMID: 37954982 PMCID: PMC10632719 DOI: 10.1093/emph/eoad034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/07/2023] [Indexed: 11/14/2023] Open
Abstract
Background and objectives Epigenetic estimators based on DNA methylation levels have emerged as promising biomarkers of human aging. These estimators exhibit natural variations across human groups, but data about indigenous populations remain underrepresented in research. This study aims to investigate differences in epigenetic estimators between two distinct human populations, both residing in the Gran Chaco region of Argentina, the Native-American Wichí, and admixed Criollos who are descendants of intermarriages between Native Americans and the first European colonizers, using a population genetic approach. Methodology We analyzed 24 Wichí (mean age: 39.2 ± 12.9 yo) and 24 Criollos (mean age: 41.1 ± 14.0 yo) for DNA methylation levels using the Infinium MethylationEPIC (Illumina) to calculate 16 epigenetic estimators. Additionally, we examined genome-wide genetic variation using the HumanOmniExpress BeadChip (Illumina) to gain insights into the genetic history of these populations. Results Our results indicate that Native-American Wichí are epigenetically older compared to Criollos according to five epigenetic estimators. Analyses within the Criollos population reveal that global ancestry does not influence the differences observed, while local (chromosomal) ancestry shows positive associations between specific SNPs located in genomic regions over-represented by Native-American ancestry and measures of epigenetic age acceleration (AgeAccelHannum). Furthermore, we demonstrate that differences in population ecologies also contribute to observed epigenetic differences. Conclusions and implications Overall, our study suggests that while the genomic history may partially account for the observed epigenetic differences, non-genetic factors, such as lifestyle and ecological factors, play a substantial role in the variability of epigenetic estimators, thereby contributing to variations in human epigenetic aging.
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Affiliation(s)
- Vincenzo Iannuzzi
- Department of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Stefania Sarno
- Department of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Marco Sazzini
- Department of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), Interdepartmental Centre, University of Bologna, Bologna, Italy
| | - Paolo Abondio
- Department of Cultural Heritage (DBC), University of Bologna, Ravenna Campus, Ravenna, Italy
| | - Claudia Sala
- Department of Medical and Surgical Science (DIMEC), University of Bologna, Bologna, Italy
| | | | - Davide Gentilini
- Department of Brain and Behavioral Sciences, Università di Pavia, Pavia, Italy
- Bioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy
| | - Luciano Calzari
- Bioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy
| | - Federica Masciotta
- Department of Statistical Sciences ‘Paolo Fortunati’, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Medical and Surgical Science (DIMEC), University of Bologna, Bologna, Italy
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Gastone Castellani
- Department of Medical and Surgical Science (DIMEC), University of Bologna, Bologna, Italy
| | - Edgardo Moretti
- Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Instituto de Biología y Medicina Experimental de Cuyo, CCT CONICET, Argentina
| | - Maria Cristina Dasso
- Centro de Investigaciones en Antropología Filosófica y Cultural (CIAFIC), Buenos Aires, Argentina
| | - Federica Sevini
- Department of Medical and Surgical Science (DIMEC), University of Bologna, Bologna, Italy
| | | | - Claudio Franceschi
- Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia
| | - Davide Pettener
- Department of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Donata Luiselli
- Department of Cultural Heritage (DBC), University of Bologna, Ravenna Campus, Ravenna, Italy
| | - Cristina Giuliani
- Department of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy
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43
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Musci RJ, Raghunathan RS, Johnson SB, Klein L, Ladd-Acosta C, Ansah R, Hassoun R, Voegtline KM. Using Epigenetic Clocks to Characterize Biological Aging in Studies of Children and Childhood Exposures: a Systematic Review. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2023; 24:1398-1423. [PMID: 37477807 PMCID: PMC10964791 DOI: 10.1007/s11121-023-01576-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/10/2023] [Indexed: 07/22/2023]
Abstract
Biological age, measured via epigenetic clocks, offers a unique and useful tool for prevention scientists to explore the short- and long-term implications of age deviations for health, development, and behavior. The use of epigenetic clocks in pediatric research is rapidly increasing, and there is a need to review the landscape of this work to understand the utility of these clocks for prevention scientists. We summarize the current state of the literature on the use of specific epigenetic clocks in childhood. Using systematic review methods, we identified studies published through February 2023 that used one of three epigenetic clocks as a measure of biological aging. These epigenetic clocks could either be used as a predictor of health outcomes or as a health outcome of interest. The database search identified 982 records, 908 of which were included in a title and abstract review. After full-text screening, 68 studies were eligible for inclusion. While findings were somewhat mixed, a majority of included studies found significant associations between the epigenetic clock used and the health outcome of interest or between an exposure and the epigenetic clock used. From these results, we propose the use of epigenetic clocks as a tool to understand how exposures impact biologic aging pathways and development in early life, as well as to monitor the effectiveness of preventive interventions that aim to reduce exposure and associated adverse health outcomes.
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Affiliation(s)
- Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA.
| | | | - Sara B Johnson
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Lauren Klein
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Rosemary Ansah
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
| | - Ronda Hassoun
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA
| | - Kristin M Voegtline
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
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44
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Zhang ZZ, Moeckel C, Mustafa M, Pham H, Olson AE, Mehta D, Dorn LD, Engeland CG, Shenk CE. The association of epigenetic age acceleration and depressive and anxiety symptom severity among children recently exposed to substantiated maltreatment. J Psychiatr Res 2023; 165:7-13. [PMID: 37441927 PMCID: PMC10529086 DOI: 10.1016/j.jpsychires.2023.07.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/06/2023] [Accepted: 07/07/2023] [Indexed: 07/15/2023]
Abstract
Child maltreatment is a major risk factor for both depressive and anxiety disorders. However, many children exposed to maltreatment never meet diagnostic threshold for either disorder while experiencing only transitory symptoms post-exposure. Recent research suggests DNA methylation adds predictive value in explaining variation in the onset and course of multiple psychiatric disorders following exposure to child maltreatment. Epigenetic age acceleration (EAA), the biological aging of cells not attributable to chronological aging, is a stress-sensitive biomarker capturing genome-wide variation in DNA methylation with the potential to identify children who have been maltreated at greatest risk for depressive and anxiety disorders. The current study examined two EAA clocks appropriate for the pediatric population, the Horvath and Pediatric Buccal Epigenetic (PedBE) clocks, and their associations with depressive and anxiety symptom severity following child maltreatment. Children (N = 71) 8-15 years of age, all of whom were exposed to substantiated child maltreatment in the 12 months prior to study entry, were enrolled. Risk modeling adjusting for several confounders revealed that EAA estimated via the Horvath clock was significantly associated with more severe depressive and anxiety symptoms. The PedBE clock was not associated with either depressive or anxiety symptom severity. Sensitivity analyses demonstrated that EAA via the Horvath clock robustly predicted depressive and anxiety symptom severity across multiple modeling scenarios. Our findings advance existing research suggesting EAA, as estimated with the Horvath clock, may be a promising biomarker for identifying children at greatest risk for more severe depressive and anxiety symptoms following maltreatment.
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Affiliation(s)
- Zhenyu Z Zhang
- Department of Psychology, The Pennsylvania State University, University Park, PA, USA.
| | - Camille Moeckel
- The Pennsylvania State University College of Medicine, Hershey, PA, USA.
| | - Manal Mustafa
- The Pennsylvania State University College of Medicine, Hershey, PA, USA.
| | - Hung Pham
- The Child Study Center, Yale University, New Haven, CT, USA.
| | - Anneke E Olson
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
| | - Divya Mehta
- Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, Queensland, Australia; School of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
| | - Lorah D Dorn
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, PA, USA.
| | - Christopher G Engeland
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, PA, USA; Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA.
| | - Chad E Shenk
- The Pennsylvania State University College of Medicine, Hershey, PA, USA; Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
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45
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Maltby V, Xavier A, Ewing E, Campagna MP, Sampangi S, Scott RJ, Butzkueven H, Jokubaitis V, Kular L, Bos S, Slee M, van der Mei IA, Taylor BV, Ponsonby AL, Jagodic M, Lea R, Lechner-Scott J. Evaluation of Cell-Specific Epigenetic Age Acceleration in People With Multiple Sclerosis. Neurology 2023; 101:e679-e689. [PMID: 37541839 PMCID: PMC10437016 DOI: 10.1212/wnl.0000000000207489] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 04/20/2023] [Indexed: 08/06/2023] Open
Abstract
BACKGROUND AND OBJECTIVES In multiple sclerosis (MS), accelerated aging of the immune system (immunosenescence) may be associated with disease onset or drive progression. DNA methylation (DNAm) is an epigenetic factor that varies among lymphocyte subtypes, and cell-specific DNAm is associated with MS. DNAm varies across the life span and can be used to accurately estimate biological age acceleration, which has been linked to a range of morbidities. The objective of this study was to test for cell-specific epigenetic age acceleration (EAA) in people with MS. METHODS This was a case-control study of EAA using existing DNAm data from several independent previously published studies. Data were included if .idat files from Illumina 450K or EPIC arrays were available for both a case with MS and an age-matched and sex-matched control, from the same study. Multifactor statistical modeling was performed to assess the primary outcome of EAA. We explored the relationship of EAA and MS, including interaction terms to identify immune cell-specific effects. Cell-sorted DNA methylation data from 3 independent datasets were used to validate findings. RESULTS We used whole blood DNA methylation data from 583 cases with MS and 643 non-MS controls to calculate EAA using the GrimAge algorithm. The MS group exhibited an increased EAA compared with controls (approximately 9 mths, 95% CI 3.6-14.4), p = 0.001). Statistical deconvolution showed that EAA is associated with MS in a B cell-dependent manner (β int = 1.7, 95% CI 0.3-2.8), p = 0.002), irrespective of B-cell proportions. Validation analysis using 3 independent datasets enriched for B cells showed an EAA increase of 5.1 years in cases with MS compared with that in controls (95% CI 2.8-7.4, p = 5.5 × 10-5). By comparison, there was no EAA difference in MS in a T cell-enriched dataset. We found that EAA was attributed to the DNAm surrogates for Beta-2-microglobulin (difference = 47,546, 95% CI 10,067-85,026; p = 7.2 × 10-5), and smoking pack-years (difference = 8.1, 95% CI 1.9-14.2, p = 0.002). DISCUSSION This study provides compelling evidence that B cells exhibit marked EAA in MS and supports the hypothesis that premature B-cell immune senescence plays a role in MS. Future MS studies should focus on age-related molecular mechanisms in B cells.
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Affiliation(s)
- Vicki Maltby
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Alexandre Xavier
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Ewoud Ewing
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Maria-Pia Campagna
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Sandeep Sampangi
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Rodney J Scott
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia.
| | - Helmut Butzkueven
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Vilija Jokubaitis
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Lara Kular
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Steffan Bos
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Mark Slee
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Ingrid A van der Mei
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Bruce V Taylor
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Anne-Louise Ponsonby
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Maja Jagodic
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Rodney Lea
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia
| | - Jeannette Lechner-Scott
- From the School of Medicine and Public Health (V.M., R.L., J.L.-S.), University of Newcastle, University Drive, Callaghan; Immune Health Program (V.M., A.X., J.L.-S.), Hunter Medical Research Institute; Department of Neurology (V.M., J.L.-S.), John Hunter Hospital, New Lambton Heights; School of Biomedical Sciences and Pharmacy (A.X.), University of Newcastle, University Drive, Callaghan, Australia; Department of Clinical Neuroscience (E.E., L.K., M.J.), Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Neuroscience (M.-P.C., S.S., H.B., V.J.), Central Clinical School, Monash University, Victoria; Division of Molecular Genetics (R.J.S.), Pathology North, John Hunter Hospital, New Lambton Heights; MSBase Foundation (H.B.), Melbourne, Australia; Institute of Clinical Medicine (S.B.), University of Oslo,; Department of Neurology (S.B.), Oslo University Hospital, Norway; Flinders University (M.S.), Adelaide; Menzies Institute for Medical Research (I.A.M., B.V.T.), University of Tasmania, Hobart; Florey Institute of Neuroscience and Mental Health (A.-L.P.), The University of Melbourne; Centre of Epidemiology and Biostatistics (A.-L.P.), School of Population and Global Health, University of Melbourne; Murdoch Children's Research Institute (A.-L.P.), Royal Children's Hospital, Melbourne; and Centre for Genomics and Personalized Health (R.L.), School of Biomedical Science, Queensland University of Technology, Kelvin Grove, Australia.
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46
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Aurich S, Müller L, Kovacs P, Keller M. Implication of DNA methylation during lifestyle mediated weight loss. Front Endocrinol (Lausanne) 2023; 14:1181002. [PMID: 37614712 PMCID: PMC10442821 DOI: 10.3389/fendo.2023.1181002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 07/18/2023] [Indexed: 08/25/2023] Open
Abstract
Over the past 50 years, the number of overweight/obese people increased significantly, making obesity a global public health challenge. Apart from rare monogenic forms, obesity is a multifactorial disease, most likely resulting from a concerted interaction of genetic, epigenetic and environmental factors. Although recent studies opened new avenues in elucidating the complex genetics behind obesity, the biological mechanisms contributing to individual's risk to become obese are not yet fully understood. Non-genetic factors such as eating behaviour or physical activity are strong contributing factors for the onset of obesity. These factors may interact with genetic predispositions most likely via epigenetic mechanisms. Epigenome-wide association studies or methylome-wide association studies are measuring DNA methylation at single CpGs across thousands of genes and capture associations to obesity phenotypes such as BMI. However, they only represent a snapshot in the complex biological network and cannot distinguish between causes and consequences. Intervention studies are therefore a suitable method to control for confounding factors and to avoid possible sources of bias. In particular, intervention studies documenting changes in obesity-associated epigenetic markers during lifestyle driven weight loss, make an important contribution to a better understanding of epigenetic reprogramming in obesity. To investigate the impact of lifestyle in obesity state specific DNA methylation, especially concerning the development of new strategies for prevention and individual therapy, we reviewed 19 most recent human intervention studies. In summary, this review highlights the huge potential of targeted interventions to alter disease-associated epigenetic patterns. However, there is an urgent need for further robust and larger studies to identify the specific DNA methylation biomarkers which influence obesity.
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Affiliation(s)
- Samantha Aurich
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Luise Müller
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Peter Kovacs
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
- Deutsches Zentrum für Diabetesforschung e.V., Neuherberg, Germany
| | - Maria Keller
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
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47
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Galkin F, Kovalchuk O, Koldasbayeva D, Zhavoronkov A, Bischof E. Stress, diet, exercise: Common environmental factors and their impact on epigenetic age. Ageing Res Rev 2023; 88:101956. [PMID: 37211319 DOI: 10.1016/j.arr.2023.101956] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/13/2023] [Accepted: 05/15/2023] [Indexed: 05/23/2023]
Abstract
Epigenetic aging clocks have gained significant attention as a tool for predicting age-related health conditions in clinical and research settings. They have enabled geroscientists to study the underlying mechanisms of aging and assess the effectiveness of anti-aging therapies, including diet, exercise and environmental exposures. This review explores the effects of modifiable lifestyle factors' on the global DNA methylation landscape, as seen by aging clocks. We also discuss the underlying mechanisms through which these factors contribute to biological aging and provide comments on what these findings mean for people willing to build an evidence-based pro-longevity lifestyle.
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Affiliation(s)
| | - Olga Kovalchuk
- Department of Biological Sciences, University of Lethbridge, Canada
| | | | - Alex Zhavoronkov
- Deep Longevity, Hong Kong; Insilico Medicine, Hong Kong; Buck Institute for Research on Aging, Novato, CA, USA
| | - Evelyne Bischof
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China; Shanghai University of Medicine and Health Sciences, Shanghai, China; Division of Cardiology, Department of Advanced Biomedical Sciences, Federico II University, Via S. Pansini, 580131, Naples, Italy
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48
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Kim K, Yaffe K, Rehkopf DH, Zheng Y, Nannini DR, Perak AM, Nagata JM, Miller GE, Zhang K, Lloyd-Jones DM, Joyce BT, Hou L. Association of Adverse Childhood Experiences With Accelerated Epigenetic Aging in Midlife. JAMA Netw Open 2023; 6:e2317987. [PMID: 37306997 PMCID: PMC10261996 DOI: 10.1001/jamanetworkopen.2023.17987] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 04/05/2023] [Indexed: 06/13/2023] Open
Abstract
Importance Adverse childhood experiences (ACEs) are associated with the risk of poorer health, and identifying molecular mechanisms may lay the foundation for health promotion in people with ACEs. Objective To investigate the associations of ACEs with changes in epigenetic age acceleration (EAA), a biomarker associated with various health outcomes in middle-aged adults, in a population with balanced race and sex demographics. Design, Setting, and Participants Data for this cohort study were from the Coronary Artery Risk Development in Young Adults (CARDIA) study. Participants in CARDIA underwent 8 follow-up exams from baseline (year 0 [Y0]; 1985-1986) to Y30 (2015-2016), and participant blood DNA methylation information was obtained at Y15 (2000-2001) and Y20 (2005-2006). Individuals from Y15 and Y20 with available DNA methylation data and complete variables for ACEs and covariates were included. Data were analyzed from September 2021 to August 2022. Exposures Participant ACEs (general negligence, emotional negligence, physical violence, physical negligence, household substance abuse, verbal and emotional abuse, and household dysfunction) were obtained at Y15. Main Outcomes and Measures The primary outcome consisted of results from 5 DNA methylation-based EAA measurements known to be associated with biological aging and long-term health: intrinsic EAA (IEAA), extrinsic EAA (EEAA), PhenoAge acceleration (PhenoAA), GrimAge acceleration (GrimAA), and Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE), measured at Y15 and Y20. Linear regression and generalized estimating equations were used to assess associations of the burden of ACEs (≥4 vs <4 ACEs) with EAA adjusting for demographics, health-related behaviors, and early life and adult socioeconomic status. Results A total of 895 participants for Y15 (mean [SD] age, 40.4 [3.5] years; 450 males [50.3%] and 445 females [49.7%]; 319 Black [35.6%] and 576 White [64.4%]) and 867 participants for Y20 (mean [SD] age, 45.4 [3.5] years; 432 males [49.8%] and 435 females [50.2%]; 306 Black [35.3%] and 561 White [64.7%]) were included after excluding participants with missing data. There were 185 participants with (20.7%) vs 710 participants without (79.3%) 4 or more ACEs at Y15 and 179 participants with (20.6%) vs 688 participants without (79.4%) 4 or more ACEs at Y20. Having 4 or more ACEs was positively associated with EAA in years at Y15 (EEAA: β = 0.60 years; 95% CI, 0.18-1.02 years; PhenoAA: β = 0.62 years; 95% CI = 0.13-1.11 years; GrimAA: β = 0.71 years; 95% CI, 0.42-1.00 years; DunedinPACE: β = 0.01; 95% CI, 0.01-0.02) and Y20 (IEAA: β = 0.41 years; 95% CI, 0.05-0.77 years; EEAA: β = 1.05 years; 95% CI, 0.66-1.44 years; PhenoAA: β = 0.57 years; 95% CI, 0.08-1.05 years; GrimAA: β = 0.57 years; 95% CI, 0.28-0.87 years; DunedinPACE: β = 0.01; 95% CI, 0.01-0.02) after adjusting for demographics, health-related behaviors, and socioeconomic status. Conclusions and Relevance In this cohort study, ACEs were associated with EAA among middle-aged adults after controlling for demographics, behavior, and socioeconomic status. These findings of the associations between early life experience and the biological aging process in midlife may contribute to health promotion in a life course perspective.
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Affiliation(s)
- Kyeezu Kim
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Kristine Yaffe
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - David H. Rehkopf
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, California
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Drew R. Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Amanda M. Perak
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
| | - Jason M. Nagata
- Department of Pediatrics, University of California, San Francisco
| | - Greg E. Miller
- Department of Psychology, Northwestern University, Evanston, Illinois
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Potocsnak Longevity Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Brian T. Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Potocsnak Longevity Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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49
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Protsenko E, Wolkowitz OM, Yaffe K. Associations of stress and stress-related psychiatric disorders with GrimAge acceleration: review and suggestions for future work. Transl Psychiatry 2023; 13:142. [PMID: 37130894 PMCID: PMC10154294 DOI: 10.1038/s41398-023-02360-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 05/04/2023] Open
Abstract
The notion of "biological aging" as distinct from chronological aging has been of increasing interest in psychiatry, and many studies have explored associations of stress and psychiatric illness with accelerated biological aging. The "epigenetic clocks" are one avenue of this research, wherein "biological age" is estimated using DNA methylation data from specific CpG dinucleotide sites within the human genome. Many iterations of the epigenetic clocks have been developed, but the GrimAge clock continues to stand out for its ability to predict morbidity and mortality. Several studies have now explored associations of stress, PTSD, and MDD with GrimAge acceleration (GrimAA). While stress, PTSD, and MDD are distinct psychiatric entities, they may share common mechanisms underlying accelerated biological aging. Yet, no one has offered a review of the evidence on associations of stress and stress-related psychopathology with GrimAA. In this review, we identify nine publications on associations of stress, PTSD, and MDD with GrimAA. We find that results are mixed both within and across each of these exposures. However, we also find that analytic methods - and specifically, the choice of covariates - vary widely between studies. To address this, we draw upon popular methods from the field of clinical epidemiology to offer (1) a systematic framework for covariate selection, and (2) an approach to results reporting that facilitates analytic consensus. Although covariate selection will differ by the research question, we encourage researchers to consider adjustment for tobacco, alcohol use, physical activity, race, sex, adult socioeconomic status, medical comorbidity, and blood cell composition.
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Affiliation(s)
- Ekaterina Protsenko
- Department of Psychiatry, Stanford University School of Medicine, Palo Alto, CA, USA.
- Department Epidemiology & Biostatistics, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.
| | - Owen M Wolkowitz
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Kristine Yaffe
- Department Epidemiology & Biostatistics, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
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50
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Poganik JR, Zhang B, Baht GS, Tyshkovskiy A, Deik A, Kerepesi C, Yim SH, Lu AT, Haghani A, Gong T, Hedman AM, Andolf E, Pershagen G, Almqvist C, Clish CB, Horvath S, White JP, Gladyshev VN. Biological age is increased by stress and restored upon recovery. Cell Metab 2023; 35:807-820.e5. [PMID: 37086720 PMCID: PMC11055493 DOI: 10.1016/j.cmet.2023.03.015] [Citation(s) in RCA: 61] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 12/22/2022] [Accepted: 03/20/2023] [Indexed: 04/24/2023]
Abstract
Aging is classically conceptualized as an ever-increasing trajectory of damage accumulation and loss of function, leading to increases in morbidity and mortality. However, recent in vitro studies have raised the possibility of age reversal. Here, we report that biological age is fluid and exhibits rapid changes in both directions. At epigenetic, transcriptomic, and metabolomic levels, we find that the biological age of young mice is increased by heterochronic parabiosis and restored following surgical detachment. We also identify transient changes in biological age during major surgery, pregnancy, and severe COVID-19 in humans and/or mice. Together, these data show that biological age undergoes a rapid increase in response to diverse forms of stress, which is reversed following recovery from stress. Our study uncovers a new layer of aging dynamics that should be considered in future studies. The elevation of biological age by stress may be a quantifiable and actionable target for future interventions.
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Affiliation(s)
- Jesse R Poganik
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Bohan Zhang
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Gurpreet S Baht
- Department of Orthopaedic Surgery, Duke University, Durham, NC 27701, USA; Duke Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - Alexander Tyshkovskiy
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Amy Deik
- Broad Institute of MIT and Harvard, Cambridge, MA 01241, USA
| | - Csaba Kerepesi
- Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network, Budapest, 1111, Hungary
| | - Sun Hee Yim
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Altos Labs, San Diego, CA, USA
| | - Amin Haghani
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Altos Labs, San Diego, CA, USA
| | - Tong Gong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna M Hedman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ellika Andolf
- Department of Clinical Sciences, Division of Obstetrics and Gynaecology, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA 01241, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Altos Labs, San Diego, CA, USA; Department of Biostatistics, School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - James P White
- Duke Molecular Physiology Institute, Duke University, Durham, NC 27701, USA; Department of Medicine, Duke University School of Medicine, Durham, NC 27701, USA.
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 01241, USA.
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