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Kuznetsov DV, Liu Y, Schowe AM, Czamara D, Instinske J, Pahnke CKL, Nöthen MM, Spinath FM, Binder EB, Diewald M, Forstner AJ, Kandler C, Mönkediek B. Genetic and environmental contributions to epigenetic aging across adolescence and young adulthood. Clin Epigenetics 2025; 17:78. [PMID: 40336042 PMCID: PMC12060359 DOI: 10.1186/s13148-025-01880-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 04/09/2025] [Indexed: 05/09/2025] Open
Abstract
BACKGROUND Epigenetic aging estimators commonly track chronological and biological aging, quantifying its accumulation (i.e., epigenetic age acceleration) or speed (i.e., epigenetic aging pace). Their scores reflect a combination of inherent biological programming and the impact of environmental factors, which are suggested to vary at different life stages. The transition from adolescence to adulthood is an important period in this regard, marked by an increasing and, then, stabilizing epigenetic aging variance. Whether this pattern arises from environmental influences or genetic factors is still uncertain. This study delves into understanding the genetic and environmental contributions to variance in epigenetic aging across these developmental stages. Using twin modeling, we analyzed four estimators of epigenetic aging, namely Horvath Acceleration, PedBE Acceleration, GrimAge Acceleration, and DunedinPACE, based on saliva samples collected at two timepoints approximately 2.5 years apart from 976 twins of four birth cohorts (aged about 9.5, 15.5, 21.5, and 27.5 years at first and 12, 18, 24, and 30 years at second measurement occasion). RESULTS Half to two-thirds (50-68%) of the differences in epigenetic aging were due to unique environmental factors, indicating the role of life experiences and epigenetic drift, besides measurement error. The remaining variance was explained by genetic (Horvath Acceleration: 24%; GrimAge Acceleration: 32%; DunedinPACE: 47%) and shared environmental factors (Horvath Acceleration: 26%; PedBE Acceleration: 47%). The genetic and shared environmental factors represented the primary sources of stable differences in corresponding epigenetic aging estimators over 2.5 years. Age moderation analyses revealed that the variance due to individually unique environmental sources was smaller in younger than in older cohorts in epigenetic aging estimators trained on chronological age (Horvath Acceleration: 47-49%; PedBE Acceleration: 33-68%). The variance due to genetic contributions, in turn, potentially increased across age groups for epigenetic aging estimators trained in adult samples (Horvath Acceleration: 18-39%; GrimAge Acceleration: 24-43%; DunedinPACE: 42-57%). CONCLUSIONS Transition to adulthood is a period of the increasing variance in epigenetic aging. Both environmental and genetic factors contribute to this trend. The degree of environmental and genetic contributions can be partially explained by the design of epigenetic aging estimators.
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Affiliation(s)
- Dmitry V Kuznetsov
- Bielefeld University, Bielefeld, Germany.
- Center for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.
| | - Yixuan Liu
- Bielefeld University, Bielefeld, Germany
| | - Alicia M Schowe
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
- Graduate School of Systemic Neuroscience, Ludwig Maximilian University, Munich, Germany
| | - Darina Czamara
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | | | - Charlotte K L Pahnke
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Frank M Spinath
- Department of Psychology, Saarland University, Saarbrücken, Germany
| | - Elisabeth B Binder
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | | | - Andreas J Forstner
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Christian Kandler
- Bielefeld University, Bielefeld, Germany
- University of Bremen, Bremen, Germany
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Drouard G, Suhonen S, Heikkinen A, Wang Z, Kaprio J, Ollikainen M. Multi-Omic Associations of Epigenetic Age Acceleration Are Heterogeneously Shaped by Genetic and Environmental Influences. Aging Cell 2025:e70088. [PMID: 40325911 DOI: 10.1111/acel.70088] [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: 08/07/2024] [Revised: 04/03/2025] [Accepted: 04/13/2025] [Indexed: 05/07/2025] Open
Abstract
Connections between the multi-ome and epigenetic age acceleration (EAA), and especially whether these are influenced by genetic or environmental factors, remain underexplored. We therefore quantified associations between the multi-ome comprising four layers-the proteome, metabolome, external exposome (here, sociodemographic factors), and specific exposome (here, lifestyle)-with six different EAA estimates. Two twin cohorts were used in a discovery-replication scheme, comprising, respectively, young (N = 642; mean age = 22.3) and older (N = 354; mean age = 62.3) twins. Within-pair twin designs were used to assess genetic and environmental effects on associations. We identified 40 multi-omic factors, of which 28 were proteins, associated with EAA in the young twins while adjusting for sex, smoking, and body mass index. Within-pair analyses revealed that genetic confounding influenced these associations heterogeneously, with six multi-omic factors -matrix metalloproteinase 9, complement component C6, histidine, glycoprotein acetyls, lactate, and neighborhood percentage of nonagenarians- remaining significantly associated with EAA, independent of genetic effects. Replication analyses showed that some associations assessed in young twins were consistent in older twins. Our study highlights the differential influence of genetic effects on the associations between the multi-ome and EAA and shows that some, but not all, of the associations persist into adulthood.
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Affiliation(s)
- Gabin Drouard
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sannimari Suhonen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Aino Heikkinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Zhiyang Wang
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
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Kivimäki M, Pentti J, Frank P, Liu F, Blake A, Nyberg ST, Vahtera J, Singh-Manoux A, Wyss-Coray T, Walker KA, Partridge L, Lindbohm JV. Social disadvantage accelerates aging. Nat Med 2025; 31:1635-1643. [PMID: 40087516 DOI: 10.1038/s41591-025-03563-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 02/04/2025] [Indexed: 03/17/2025]
Abstract
Social disadvantage, like advanced age, is a risk factor for a broad range of health conditions; however, whether it influences the aging process remains unclear. Here, using a multicohort approach, we investigated the associations of social disadvantage with age-related plasma proteins and age-related diseases. We found proteomic signatures of accelerated immune aging and 14 specific age-related proteins linked to social disadvantage during both early and later life. Individuals experiencing social disadvantage had an increased risk of 66 age-related diseases, with up to 39% of these associations mediated by the 14 age-related proteins (for example, DNAJB9, F2, HSPA1A, BGN). The main enriched pathway involved the upregulation of the pro-inflammatory regulator NF-κB24 and its downstream factor interleukin-8. Our findings support the hypothesis that social disadvantage throughout the life course may accelerate aging, a biological mechanism that could explain why social stratification plays such a fundamental role in determining human health.
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Affiliation(s)
- Mika Kivimäki
- Brain Sciences, University College London, London, UK.
- Clinicum, University of Helsinki, Helsinki, Finland.
| | - Jaana Pentti
- Clinicum, University of Helsinki, Helsinki, Finland
- Department of Public Health and Centre for Population Health Research, University of Turku, Turku University Hospital, Turku, Finland
| | - Philipp Frank
- Brain Sciences, University College London, London, UK
- Clinicum, University of Helsinki, Helsinki, Finland
| | - Fangyu Liu
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Acer Blake
- Institute of Healthy Ageing, GEE, University College London, London, UK
- MPLS (Mathematical, Physical and Life Sciences) Division, Oxford University, Oxford, UK
| | | | - Jussi Vahtera
- Department of Public Health and Centre for Population Health Research, University of Turku, Turku University Hospital, Turku, Finland
| | - Archana Singh-Manoux
- Brain Sciences, University College London, London, UK
- Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Université Paris Cité, Paris, France
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
| | - Keenan A Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Linda Partridge
- Institute of Healthy Ageing, GEE, University College London, London, UK
| | - Joni V Lindbohm
- Brain Sciences, University College London, London, UK
- Clinicum, University of Helsinki, Helsinki, Finland
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
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Radák Z, Aczél D, Fejes I, Mozaffaritabar S, Pavlik G, Komka Z, Balogh L, Babszki Z, Babszki G, Koltai E, McGreevy KM, Gordevicius J, Horvath S, Kerepesi C. Slowed epigenetic aging in Olympic champions compared to non-champions. GeroScience 2025; 47:2555-2565. [PMID: 39601999 PMCID: PMC11978583 DOI: 10.1007/s11357-024-01440-5] [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: 10/04/2024] [Accepted: 11/11/2024] [Indexed: 11/29/2024] Open
Abstract
The lifestyle patterns of top athletes are highly disciplined, featuring strict exercise regimens, nutrition plans, and mental preparation, often beginning at a young age. Recently, it was shown that physically active individuals exhibit slowed epigenetic aging and better age-related outcomes. Here, we investigate whether the extreme intensity of physical activity of Olympic champions still has a beneficial effect on epigenetic aging. To test this hypothesis, we examined the epigenetic aging of 59 Hungarian Olympic champions and of the 332 control subjects, 205 were master rowers. We observed that Olympic champions exhibit slower epigenetic aging, applying seven state-of-the-art epigenetic aging clocks. Additionally, male champions who won any medal within the last 10 years showed slower epigenetic aging compared to other male champions, while female champions exhibited the opposite trend. We also found that wrestlers had higher age acceleration compared to gymnasts, fencers, and water polo players. We identified the top 20 genes that showed the most remarkable difference in promoter methylation between Olympic champions and non-champions. The hypo-methylated genes are involved in synaptic health, glycosylation, metal ion membrane transfer, and force generation. Most of the hyper-methylated genes were associated with cancer promotion. The data suggest that rigorous and long-term exercise from adolescence to adulthood has beneficial effects on epigenetic aging.
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Affiliation(s)
- Zsolt Radák
- Hungarian University of Sport Science, Budapest, Hungary.
- University of Pécs, Pécs, Hungary.
- Sapientia University, Sfântu Gheorghe, Romania.
- Waseda University, Tokorozawa, 2-579-15, Japan.
| | - Dóra Aczél
- Hungarian University of Sport Science, Budapest, Hungary
| | - Iván Fejes
- Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary
- Department of Information Systems, Eötvös Loránd University, Budapest, Hungary
| | | | - Gabor Pavlik
- Hungarian University of Sport Science, Budapest, Hungary
| | - Zsolt Komka
- Hungarian University of Sport Science, Budapest, Hungary
| | | | - Zsofia Babszki
- Hungarian University of Sport Science, Budapest, Hungary
| | | | - Erika Koltai
- Hungarian University of Sport Science, Budapest, Hungary
| | - Kristen M McGreevy
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | | | - Steve Horvath
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - Csaba Kerepesi
- Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary
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Castelucci CC, Oancea SC, Nucci LB. Eating and lifestyle habits associated with regular soft drinks consumption among Brazilian adolescents: National Survey of School Health, 2019. REVISTA BRASILEIRA DE EPIDEMIOLOGIA 2025; 28:e250007. [PMID: 40053005 PMCID: PMC11884819 DOI: 10.1590/1980-549720250007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 11/08/2024] [Accepted: 12/18/2024] [Indexed: 03/10/2025] Open
Abstract
OBJECTIVE To assess the regular consumption of soft drinks among Brazilian adolescents according to sociodemographic characteristics, eating habits, and lifestyle. METHODS This is a cross-sectional study using data from 118,497 adolescents from the 2019 National Survey of School Health (PeNSE), a population survey periodically carried out in Brazil. The prevalence of regular soft drinks consumption was estimated and, using Poisson regression analysis, the association of this consumption with variables related to eating habits and lifestyle (physical and sedentary activities, use of cigarette and alcohol) was verified. RESULTS The frequency of regular soft drinks consumption was 17.2% (95%CI 16.6-17.8%). Multiple logistic regression analysis showed an association between regular soft drinks consumption and: living in the Southeast and Midwest regions (PR=1.49 and PR=1.50), boys (PR=1.22), eating meals while using a screen on five or more days a week (PR=1.20), eating breakfast less than five days a week (PR=1.14), consuming sweets five or more days a week (PR=2.16), and consuming fast food three or more times a week (PR=2.28). Spending more than three hours a day in sedentary activities (PR=1.18) and cigarette use (PR=1.22) and binge drinking (PR=1.21) were also statistically and significantly associated with regular soft drinks consumption. CONCLUSION Adolescents' regular consumption of soft drinks is associated with the region of residence, sex, and unhealthy eating and lifestyle habits. Interventions to promote the reduction of regular soft drinks consumption among Brazilian adolescents should consider innovative strategies that include comprehensive public policies appropriate to the profile of adolescents.
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Affiliation(s)
- Carina Castelo Castelucci
- Pontifícia Universidade Católica de Campinas, School of Medicine, School of Life Sciences – Campinas (SP), Brazil
| | - Sanda Cristina Oancea
- University of North Dakota, Public Health Program, Department of Population Health – Grand Forks, North Dakota, United States
| | - Luciana Bertoldi Nucci
- Pontifícia Universidade Católica de Campinas, Graduate Program in Health Sciences, School of Life Sciences – Campinas (SP), Brazil
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Ravi S, Kankaanpää A, Bogl LH, Heikkinen A, Pietiläinen KH, Kaprio J, Ollikainen M, Sillanpää E. Suboptimal dietary patterns are associated with accelerated biological aging in young adulthood: A study with twins. Clin Nutr 2025; 45:10-21. [PMID: 39731880 DOI: 10.1016/j.clnu.2024.12.018] [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: 06/26/2024] [Revised: 10/29/2024] [Accepted: 12/17/2024] [Indexed: 12/30/2024]
Abstract
BACKGROUND & AIMS Suboptimal diets increase morbidity and mortality risk. Epigenetic clocks are algorithms that can assess health and lifespan, even at a young age, before clinical manifestations of diseases. We investigated the association between dietary patterns and biological aging in young adult twins. METHODS The data were drawn from the population-based FinnTwin12 study and consisted of twins aged 21-25 years (n = 826). Food and beverage intakes were assessed using a food frequency questionnaire. Biological aging was estimated using the epigenetic clocks GrimAge and DunedinPACE. Latent class analysis was used to identify dietary patterns. The association between dietary patterns and biological aging was assessed using linear regression modeling at the individual level, followed by within-twin pair analyses to account for genetic liabilities and shared familial confounders. RESULTS Six dietary patterns were identified: 1) High fast food, low fruits and vegetables (F&V), 2) Plant-based, 3) Health-conscious, 4) Western with infrequent fish, 5) Western with regular fish, and 6) Balanced average. At the individual level, GrimAge acceleration was slower in the Plant-based, Health-conscious, and Balanced-average patterns compared to the High fast food, low F&V, and faster in the Western with infrequent fish pattern compared to the Balanced average, regardless of sex, nonalcoholic energy intake, smoking, and alcohol consumption. After further adjustment for BMI and sports participation, the strengths of the associations modestly decreased; however, the difference between the Balanced-average and High fast food, low F&V patterns remained significant. The pace of aging (DunedinPACE) was slower in the Plant-based pattern compared to the High fast food, low F&V and the Western with infrequent fish patterns after adjustment for sex, nonalcoholic energy intake, smoking, and alcohol. The effect sizes were attenuated and reached a non-significant level when BMI and sports participation were added to the model. Most of the associations were replicated in the within-pair analyses among all twin pairs and among dizygotic twin pairs, but the effect sizes tended to be smaller among monozygotic twin pairs. This suggests that genetics, but not a shared environment, may partially explain the observed associations between diet and biological aging. CONCLUSION Diets high in fast food, processed red meat, and sugar-sweetened beverages and low in fruits and vegetables are associated with accelerated biological aging in young adulthood. The clustering effect of lifestyle factors and genetic confounders should be considered when interpreting the findings.
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Affiliation(s)
- Suvi Ravi
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland.
| | - Anna Kankaanpää
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland.
| | - Leonie H Bogl
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; School of Health Professions, Bern University of Applied Sciences, 3012 Bern, Switzerland.
| | - Aino Heikkinen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; Healthy Weight Hub, Endocrinology, Abdominal Center, Helsinki University Hospital, University of Helsinki, 00014 Helsinki, Finland.
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; Minerva Foundation Institute for Medical Research, 00290 Helsinki, Finland.
| | - Elina Sillanpää
- Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland; The Wellbeing Services County of Central Finland, 40620 Jyväskylä, Finland.
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Kankaanpää A, Tolvanen A, Joensuu L, Waller K, Heikkinen A, Kaprio J, Ollikainen M, Sillanpää E. The associations of long-term physical activity in adulthood with later biological ageing and all-cause mortality - a prospective twin study. Eur J Epidemiol 2025; 40:107-122. [PMID: 39821867 PMCID: PMC11799114 DOI: 10.1007/s10654-024-01200-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: 01/24/2024] [Accepted: 12/26/2024] [Indexed: 01/19/2025]
Abstract
OBJECTIVES The association between leisure-time physical activity (LTPA) and a lower risk of mortality is susceptible to bias from multiple sources. We investigated the potential of biological ageing to mediate the association between long-term LTPA and mortality and whether the methods used to account for reverse causality affect the interpretation of this association. METHODS Study participants were twins from the older Finnish Twin Cohort (n = 22,750; 18-50 years at baseline). LTPA was assessed using questionnaires in 1975, 1981 and 1990. The mortality follow-up lasted until 2020 and biological ageing was assessed using epigenetic clocks in a subsample (n = 1,153) with blood samples taken during the follow-up. Using latent profile analysis, we identified classes with distinct longitudinal LTPA patterns and studied differences in biological ageing between these classes. We employed survival models to examine differences in total, short-term and long-term all-cause mortality, and multilevel models for twin data to control for familial factors. RESULTS We identified four classes of long-term LTPA: sedentary, moderately active, active and highly active. Although biological ageing was accelerated in sedentary and highly active classes, after adjusting for other lifestyle-related factors, the associations mainly attenuated. Physically active classes had a maximum 7% lower risk of total mortality over the sedentary class, but this association was consistent only in the short term. After accounting for familial factors and excluding participants reporting prevalent cardiovascular diseases, LTPA exhibited less favourable associations with mortality. CONCLUSION The association between LTPA and lower all-cause mortality may be largely due to genetic confounding and reverse causality.
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Affiliation(s)
- Anna Kankaanpää
- Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Asko Tolvanen
- Methodology Center for Human Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Laura Joensuu
- Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Katja Waller
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Aino Heikkinen
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Elina Sillanpää
- Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
- Wellbeing services county of Central Finland, Jyväskylä, Finland.
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Banker M, Jansen EC, Goodrich JM, English L, Dolinoy DC, Song PXK, Mitchell JA, Téllez-Rojo MM, Cantoral A, Peterson KE. Associations between Sleep and Physical Activity Behavior Clusters and Epigenetic Age Acceleration in Mexican Adolescents. Med Sci Sports Exerc 2024; 56:2173-2183. [PMID: 38949160 PMCID: PMC11524790 DOI: 10.1249/mss.0000000000003498] [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: 07/02/2024]
Abstract
INTRODUCTION Epigenetic aging, a marker of biological aging measured by DNA methylation, may be affected by behaviors, including sleep and physical activity. However, investigations of physical activity and sleep with epigenetic aging among pediatric populations are scant and have not accounted for correlated behaviors. METHODS The study population included 472 Mexico City adolescents (52% female). Blood collection and 7-d wrist actigraphy (Actigraph GTX-BT) occurred during a follow-up visit when participants were 14.5 (2.09) yr. Leukocyte DNA methylation was measured with the Infinium MethylationEPIC array after bisulfite conversion, and nine epigenetic clocks were calculated. Sleep versus wake time was identified through a pruned dynamic programing algorithm, and physical activity was processed with Chandler cutoffs. Kmeans clustering was used to select actigraphy-assessed physical activity and sleep behavior clusters. Linear regression analyses were used to evaluate adjusted associations between the clusters and epigenetic aging. RESULTS There were three unique clusters: "Short sleep/high sedentary behavior," "Adequate sleep duration and late sleep timing/low moderate or vigorous physical activity (MVPA)," and "Adequate sleep duration/high MVPA." Compared with the "Adequate duration/high MVPA," adolescents with "Adequate duration and late sleep timing/low MVPA" had more accelerated aging for the GrimAge clock ( β = 0.63; 95% confidence interval, 0.07-1.19). In pubertal-stratified analyses, more mature adolescents in the "Adequate sleep duration and late sleep timing/low MVPA group" had accelerated epigenetic aging. In contrast, females in the "Short sleep/high sedentary" group had decelerated epigenetic aging for the Wu pediatric clock. CONCLUSIONS Associations between behavior clusters and epigenetic aging varied by pubertal status and sex. Contrary results in the Wu clock suggest the need for future research on pediatric-specific clocks.
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Affiliation(s)
- Margaret Banker
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
| | - Erica C. Jansen
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI
| | - Jaclyn M. Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI
| | - Lindsey English
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI
| | - Dana C. Dolinoy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI
| | - Peter X. K. Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI
| | - Jonathan A. Mitchell
- Division of Gastroenterology, Hepatology and Nutrition, Children’s Hospital of Pennsylvania, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA
| | - Martha María Téllez-Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, MEXICO
| | | | - Karen E. Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI
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JOENSUU LAURA, WALLER KATJA, KANKAANPÄÄ ANNA, PALVIAINEN TEEMU, KAPRIO JAAKKO, SILLANPÄÄ ELINA. Genetic Liability to Cardiovascular Disease, Physical Activity, and Mortality: Findings from the Finnish Twin Cohort. Med Sci Sports Exerc 2024; 56:1954-1963. [PMID: 38768019 PMCID: PMC11419275 DOI: 10.1249/mss.0000000000003482] [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: 05/22/2024]
Abstract
PURPOSE We investigated whether longitudinally assessed physical activity (PA) and adherence specifically to World Health Organization PA guidelines mitigate or moderate mortality risk regardless of genetic liability to cardiovascular disease (CVD). We also estimated the causality of the PA-mortality association. METHODS The study used the older Finnish Twin Cohort with 4897 participants aged 33 to 60 yr (54.3% women). Genetic liability to coronary heart disease and systolic and diastolic blood pressure was estimated with polygenic risk scores (PRS) derived from the Pan-UK Biobank ( N ≈ 400,000; >1,000,000 genetic variants). Leisure-time PA was assessed with validated and structured questionnaires three times during 1975 to 1990. The main effects of adherence to PA guidelines and the PRS × PA interactions were evaluated with Cox proportional hazards models against all-cause and CVD mortality. A cotwin control design with 180 monozygotic twin pairs discordant for meeting the guidelines was used for causal inference. RESULTS During the 17.4-yr (mean) follow-up (85,136 person-years), 1195 participants died, with 389 CVD deaths. PRS (per 1 SD increase) were associated with a 17% to 24% higher CVD mortality risk but not with all-cause mortality except for the PRS for diastolic blood pressure. Adherence to PA guidelines did not show significant independent main effects or interactions with all-cause or CVD mortality. Twins whose activity levels adhered to PA guidelines over a 15-yr period did not have statistically significantly reduced mortality risk compared with their less active identical twin sibling. The findings were similar among high, intermediate, and low genetic risk levels for CVD. CONCLUSIONS The genetically informed Finnish Twin Cohort data could not confirm that adherence to PA guidelines either mitigates or moderates genetic CVD risk or causally reduces mortality risk.
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Affiliation(s)
- LAURA JOENSUU
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
- Gerontology Research Center, University of Jyväskylä, Jyväskylä, FINLAND
| | - KATJA WALLER
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - ANNA KANKAANPÄÄ
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
- Gerontology Research Center, University of Jyväskylä, Jyväskylä, FINLAND
| | - TEEMU PALVIAINEN
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, FINLAND
| | - JAAKKO KAPRIO
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, FINLAND
| | - ELINA SILLANPÄÄ
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
- Wellbeing Services County of Central Finland, Jyväskylä, FINLAND
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10
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Drouard G, Wang Z, Heikkinen A, Foraster M, Julvez J, Kanninen KM, van Kamp I, Pirinen M, Ollikainen M, Kaprio J. Lifestyle differences between co-twins are associated with decreased similarity in their internal and external exposome profiles. Sci Rep 2024; 14:21261. [PMID: 39261679 PMCID: PMC11390871 DOI: 10.1038/s41598-024-72354-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 09/05/2024] [Indexed: 09/13/2024] Open
Abstract
Whether differences in lifestyle between co-twins are reflected in differences in their internal or external exposome profiles remains largely underexplored. We therefore investigated whether within-pair differences in lifestyle were associated with within-pair differences in exposome profiles across four domains: the external exposome, proteome, metabolome and epigenetic age acceleration (EAA). For each domain, we assessed the similarity of co-twin profiles using Gaussian similarities in up to 257 young adult same-sex twin pairs (54% monozygotic). We additionally tested whether similarity in one domain translated into greater similarity in another. Results suggest that a lower degree of similarity in co-twins' exposome profiles was associated with greater differences in their behavior and substance use. The strongest association was identified between excessive drinking behavior and the external exposome. Overall, our study demonstrates how social behavior and especially substance use are connected to the internal and external exposomes, while controlling for familial confounders.
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Affiliation(s)
- Gabin Drouard
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
| | - Zhiyang Wang
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Aino Heikkinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Maria Foraster
- PHAGEX Research Group, Blanquerna School of Health Science, Universitat Ramon Llull (URL), Barcelona, Spain
| | - Jordi Julvez
- Clinical and Epidemiological Neuroscience (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- ISGlobal, Parc de Recerca Biomèdica de Barcelona (PRBB), Barcelona, Spain
| | - Katja M Kanninen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Irene van Kamp
- Centre for Sustainability, Environment and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Matti Pirinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
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11
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Simovic T, Matheson C, Cobb K, Heefner A, Thode C, Colon M, Tunon E, Billingsley H, Salmons H, Ahmed SI, Carbone S, Garten R, Breland A, Cobb CO, Nana-Sinkam P, Rodriguez-Miguelez P. Young users of electronic cigarettes exhibit reduced cardiorespiratory fitness. J Appl Physiol (1985) 2024; 137:569-580. [PMID: 38990977 PMCID: PMC11424176 DOI: 10.1152/japplphysiol.00292.2024] [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: 04/18/2024] [Revised: 07/10/2024] [Accepted: 07/10/2024] [Indexed: 07/13/2024] Open
Abstract
Electronic nicotine delivery systems, often referred to as e-cigarettes, are popular tobacco products frequently advertised as safer alternatives to traditional cigarettes despite preliminary data suggesting a potential negative cardiovascular impact. Cardiorespiratory fitness is a critical cardiovascular health marker that is diminished in individuals who consume traditional tobacco products. Whether the use of e-cigarettes impacts cardiorespiratory fitness is currently unknown. Thus, the purpose of this study was to investigate the impact of regular e-cigarette use on cardiorespiratory fitness in young healthy adults. Twenty-six users of e-cigarettes (ECU, 13 males, and 13 females; age: 24 ± 3 yr; e-cigarette usage 4 ± 2 yr) and 16 demographically matched nonusers (NU, 6 males, and 10 females; age: 23 ± 3 yr) participated in this study. Cardiorespiratory fitness was measured by peak oxygen consumption (V̇o2peak) during a cardiopulmonary exercise test. Measurements of chronotropic response, hemodynamic, oxygen extraction, and utilization were also evaluated. Our results suggest that regular users of e-cigarettes exhibited significantly lower peak oxygen consumption when compared with nonusers, even when controlled by fat-free mass and lean body mass. Hemodynamic changes were not different between both groups during exercise, whereas lower chronotropic responses and skeletal muscle oxygen utilization were observed in users of e-cigarettes. Results from the present study demonstrate that young, apparently healthy, regular users of e-cigarettes exhibit significantly reduced cardiorespiratory fitness, lower chronotropic response, and impaired skeletal muscle oxygen utilization during exercise. Overall, our findings contribute to the growing body of evidence that supports adverse effects of regular e-cigarette use on cardiovascular health.NEW & NOTEWORTHY E-cigarettes are tobacco products frequently used by youth and young adults. Little is known about the long-term health effects of their prolonged use. Results from the present study demonstrate that young, apparently healthy, regular users of e-cigarettes exhibit significantly reduced cardiorespiratory fitness, a marker of cardiovascular health and a predictor of all-cause mortality. We also identified that the young users of e-cigarettes present with lower chronotropic response and impaired skeletal muscle oxygen utilization during exercise.
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Affiliation(s)
- Tijana Simovic
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Chloe Matheson
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Kolton Cobb
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Allison Heefner
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
- School of Medicine, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Christopher Thode
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Marisa Colon
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Enrique Tunon
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Hayley Billingsley
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Hannah Salmons
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Syed Imran Ahmed
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Salvatore Carbone
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Ryan Garten
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Alison Breland
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Caroline O Cobb
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Patrick Nana-Sinkam
- Division of Pulmonary and Critical Care, Virginia Commonwealth University, Richmond, Virginia, United States
| | - Paula Rodriguez-Miguelez
- Department of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, Virginia, United States
- Division of Pulmonary and Critical Care, Virginia Commonwealth University, Richmond, Virginia, United States
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12
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Mastorci F, Lazzeri MFL, Vassalle C, Pingitore A. The Transition from Childhood to Adolescence: Between Health and Vulnerability. CHILDREN (BASEL, SWITZERLAND) 2024; 11:989. [PMID: 39201923 PMCID: PMC11352511 DOI: 10.3390/children11080989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 07/31/2024] [Accepted: 08/13/2024] [Indexed: 09/03/2024]
Abstract
Transitioning from childhood into adolescence is an extraordinary time of life, associated with major physical, emotional, cognitive, and social changes and characterized by dynamic development in which interaction with the environment modulates the individual resources responsible for well-being and health. This sensitive period is the time when, in addition to hormonal, metabolic, and neural changes, certain behavioral strategies begin to take shape that will shortly go on to define the emotional, social, and cultural identity of the individual. This narrative review aimed to uncover the crucial processes underlying the transition by identifying processes that are responsible for cognitive, psychosocial, and emotional development, in the absence of disease. For this aim, we highlight (1) the physical, psychological, and social determinants during the transition from childhood to adolescence; (2) the role of health-related variables in resilience or vulnerability mechanisms; and (3) recent school-based strategies to promote health and well-being. Recognizing that health and well-being are the result of the interaction of many biological, psychological, social, cultural, and physical factors will lead to comprehensive health promotion involving all actors joining the growth process, from health professionals and the educational community to parents and community. Furthermore, it is important that psychosocial dimensions are strengthened already during childhood to prevent the onset of frailty and illness in adolescence.
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Affiliation(s)
- Francesca Mastorci
- Clinical Physiology Institute, CNR, 56124 Pisa, Italy; (M.F.L.L.); (A.P.)
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13
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Pérez-Jorge D, Hernández-Henríquez AC, Melwani-Sadhwani R, Gallo-Mendoza AF. Tomorrow Never Comes: The Risks of Procrastination for Adolescent Health. Eur J Investig Health Psychol Educ 2024; 14:2140-2156. [PMID: 39194937 DOI: 10.3390/ejihpe14080143] [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: 06/20/2024] [Revised: 07/23/2024] [Accepted: 07/25/2024] [Indexed: 08/29/2024] Open
Abstract
This study explores the relationship between procrastination and declining healthy habits among adolescents, a topic lacking systematic reviews in the existing literature. The primary purpose is to lay the groundwork for promoting mental health and preventing procrastination as risky behavior. This systematic review examined five areas related to procrastination and its influence on healthy lifestyle habits in adolescents: technology and procrastination; sleep and procrastination; academic procrastination; and the COVID-19 pandemic. The findings highlight that technology misuse is linked with procrastination; adolescents tend to procrastinate when going to sleep; academic procrastination negatively impacts long-term educational achievements, and the COVID-19 pandemic has exacerbated this phenomenon. Ultimately, it is concluded that procrastination is related to all these aspects and has detrimental effects on adolescents' physical and psychological development.
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Affiliation(s)
- David Pérez-Jorge
- Department of Didactics and Educational Research, Faculty of Education, University of La Laguna, 38200 La Laguna, Spain
| | | | - Roshan Melwani-Sadhwani
- Department of Dentistry, Faculty of Health Sciences, University Fernando Pessoa Canarias, 35450 Las Palmas, Spain
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14
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Miao K, Liu S, Cao W, Lv J, Yu C, Huang T, Sun D, Liao C, Pang Y, Hu R, Pang Z, Yu M, Wang H, Wu X, Liu Y, Gao W, Li L. Five years of change in adult twins: longitudinal changes of genetic and environmental influence on epigenetic clocks. BMC Med 2024; 22:289. [PMID: 38987783 PMCID: PMC11234599 DOI: 10.1186/s12916-024-03511-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: 03/11/2024] [Accepted: 07/02/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND Epigenetic clocks were known as promising biomarkers of aging, including original clocks trained by individual CpG sites and principal component (PC) clocks trained by PCs of CpG sites. The effects of genetic and environmental factors on epigenetic clocks are still unclear, especially for PC clocks. METHODS We constructed univariate twin models in 477 same-sex twin pairs from the Chinese National Twin Registry (CNTR) to estimate the heritability of five epigenetic clocks (GrimAge, PhenoAge, DunedinPACE, PCGrimAge, and PCPhenoAge). Besides, we investigated the longitudinal changes of genetic and environmental influences on epigenetic clocks across 5 years in 134 same-sex twin pairs. RESULTS Heritability of epigenetic clocks ranged from 0.45 to 0.70, and those for PC clocks were higher than those for original clocks. For five epigenetic clocks, the longitudinal stability was moderate to high and was largely due to genetic effects. The genetic correlations between baseline and follow-up epigenetic clocks were moderate to high. Special unique environmental factors emerged both at baseline and at follow-up. PC clocks showed higher longitudinal stability and unique environmental correlations than original clocks. CONCLUSIONS For five epigenetic clocks, they have the potential to identify aging interventions. High longitudinal stability is mainly due to genetic factors, and changes of epigenetic clocks over time are primarily due to changes in unique environmental factors. Given the disparities in genetic and environmental factors as well as longitudinal stability between PC and original clocks, the results of studies with original clocks need to be further verified with PC clocks.
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Affiliation(s)
- Ke Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Shunkai Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Weihua Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Runhua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China
| | - Zengchang Pang
- Qingdao Center for Disease Control and Prevention, Qingdao, China
| | - Min Yu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, China
| | - Hua Wang
- Jiangsu Center for Disease Control and Prevention, Nanjing, China
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yu Liu
- Heilongjiang Center for Disease Control and Prevention, Harbin, China
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
- Key Laboratory of Epidemiology of Major Diseases, (Peking University), Ministry of Education, Beijing, 100191, China.
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15
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Martínez-Magaña JJ, Hurtado-Soriano J, Rivero-Segura NA, Montalvo-Ortiz JL, Garcia-delaTorre P, Becerril-Rojas K, Gomez-Verjan JC. Towards a Novel Frontier in the Use of Epigenetic Clocks in Epidemiology. Arch Med Res 2024; 55:103033. [PMID: 38955096 DOI: 10.1016/j.arcmed.2024.103033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 05/10/2024] [Accepted: 06/17/2024] [Indexed: 07/04/2024]
Abstract
Health problems associated with aging are a major public health concern for the future. Aging is a complex process with wide intervariability among individuals. Therefore, there is a need for innovative public health strategies that target factors associated with aging and the development of tools to assess the effectiveness of these strategies accurately. Novel approaches to measure biological age, such as epigenetic clocks, have become relevant. These clocks use non-sequential variable information from the genome and employ mathematical algorithms to estimate biological age based on DNA methylation levels. Therefore, in the present study, we comprehensively review the current status of the epigenetic clocks and their associations across the human phenome. We emphasize the potential utility of these tools in an epidemiological context, particularly in evaluating the impact of public health interventions focused on promoting healthy aging. Our review describes associations between epigenetic clocks and multiple traits across the life and health span. Additionally, we highlighted the evolution of studies beyond mere associations to establish causal mechanisms between epigenetic age and disease. We explored the application of epigenetic clocks to measure the efficacy of interventions focusing on rejuvenation.
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Affiliation(s)
- José Jaime Martínez-Magaña
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; U.S. Department of Veterans Affairs National Center for Post-Traumatic Stress Disorder, Clinical Neuroscience Division, West Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | | | | | - Janitza L Montalvo-Ortiz
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; U.S. Department of Veterans Affairs National Center for Post-Traumatic Stress Disorder, Clinical Neuroscience Division, West Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Paola Garcia-delaTorre
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Área de Envejecimiento, Centro Médico Nacional, Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
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16
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Miao K, Hong X, Cao W, Lv J, Yu C, Huang T, Sun D, Liao C, Pang Y, Hu R, Pang Z, Yu M, Wang H, Wu X, Liu Y, Gao W, Li L. Association between epigenetic age and type 2 diabetes mellitus or glycemic traits: A longitudinal twin study. Aging Cell 2024; 23:e14175. [PMID: 38660768 PMCID: PMC11258448 DOI: 10.1111/acel.14175] [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: 10/10/2023] [Revised: 03/18/2024] [Accepted: 04/04/2024] [Indexed: 04/26/2024] Open
Abstract
Epigenetic clocks based on DNA methylation have been known as biomarkers of aging, including principal component (PC) clocks representing the degree of aging and DunedinPACE representing the pace of aging. Prior studies have shown the associations between epigenetic aging and T2DM, but the results vary by epigenetic age metrics and people. This study explored the associations between epigenetic age metrics and T2DM or glycemic traits, based on 1070 twins (535 twin pairs) from the Chinese National Twin Registry. It also explored the temporal relationships of epigenetic age metrics and glycemic traits in 314 twins (157 twin pairs) who participated in baseline and follow-up visits after a mean of 4.6 years. DNA methylation data were used to calculate epigenetic age metrics, including PCGrimAge acceleration (PCGrimAA), PCPhenoAge acceleration (PCPhenoAA), DunedinPACE, and the longitudinal change rate of PCGrimAge/PCPhenoAge. Mixed-effects and cross-lagged modelling assessed the cross-sectional and temporal relationships between epigenetic age metrics and T2DM or glycemic traits, respectively. In the cross-sectional analysis, positive associations were identified between DunedinPACE and glycemic traits, as well as between PCPhenoAA and fasting plasma glucose, which may be not confounded by shared genetic factors. Cross-lagged models revealed that glycemic traits (fasting plasma glucose, HbA1c, and TyG index) preceded DunedinPACE increases, and TyG index preceded PCGrimAA increases. Glycemic traits are positively associated with epigenetic age metrics, especially DunedinPACE. Glycemic traits preceded the increases in DunedinPACE and PCGrimAA. Lowering the levels of glycemic traits may reduce DunedinPACE and PCGrimAA, thereby mitigating age-related comorbidities.
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Affiliation(s)
- Ke Miao
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Xuanming Hong
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Weihua Cao
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Runhua Hu
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Zengchang Pang
- Qingdao Center for Disease Control and PreventionQingdaoChina
| | - Min Yu
- Zhejiang Center for Disease Control and PreventionHangzhouChina
| | - Hua Wang
- Jiangsu Center for Disease Control and PreventionNanjingChina
| | - Xianping Wu
- Sichuan Center for Disease Control and PreventionChengduChina
| | - Yu Liu
- Heilongjiang Center for Disease Control and PreventionHarbinChina
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public HealthPeking UniversityBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University)Ministry of EducationBeijingChina
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17
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Wang K, Sartor MA, Colacino JA, Dolinoy DC, Svoboda LK. Sex-Specific Deflection of Age-Related DNA Methylation and Gene Expression in Mouse Heart by Perinatal Toxicant Exposures. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.25.591125. [PMID: 38712146 PMCID: PMC11071472 DOI: 10.1101/2024.04.25.591125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Background Global and site-specific changes in DNA methylation and gene expression are associated with cardiovascular aging and disease, but how toxicant exposures during early development influence the normal trajectory of these age-related molecular changes, and whether there are sex differences, has not yet been investigated. Objectives We used an established mouse model of developmental exposures to investigate the effects of perinatal exposure to either lead (Pb) or diethylhexyl phthalate (DEHP), two ubiquitous environmental contaminants strongly associated with CVD, on age-related cardiac DNA methylation and gene expression. Methods Dams were randomly assigned to receive human physiologically relevant levels of Pb (32 ppm in water), DEHP (25 mg/kg chow), or control water and chow. Exposures started two weeks prior to mating and continued until weaning at postnatal day 21 (3 weeks of age). Approximately one male and one female offspring per litter were followed to 3 weeks, 5 months, or 10 months of age, at which time whole hearts were collected (n ≥ 5 per sex per exposure). Enhanced reduced representation bisulfite sequencing (ERRBS) was used to assess the cardiac DNA methylome at 3 weeks and 10 months, and RNA-seq was conducted at all 3 time points. MethylSig and edgeR were used to identify age-related differentially methylated regions (DMRs) and differentially expressed genes (DEGs), respectively, within each sex and exposure group. Cell type deconvolution of bulk RNA-seq data was conducted using the MuSiC algorithm and publicly available single cell RNA-seq data. Results Thousands of DMRs and hundreds of DEGs were identified in control, DEHP, and Pb-exposed hearts across time between 3 weeks and 10 months of age. A closer look at the genes and pathways showing differential DNA methylation revealed that the majority were unique to each sex and exposure group. Overall, pathways governing development and differentiation were most frequently altered with age in all conditions. A small number of genes in each group showed significant changes in DNA methylation and gene expression with age, including several that were altered by both toxicants but were unchanged in control. We also observed subtle, but significant changes in the proportion of several cell types due to age, sex, and developmental exposure. Discussion Together these data show that perinatal Pb or DEHP exposures deflect normal age-related gene expression, DNA methylation programs, and cellular composition across the life course, long after cessation of exposure, and highlight potential biomarkers of developmental toxicant exposures. Further studies are needed to investigate how these epigenetic and transcriptional changes impact cardiovascular health across the life course.
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18
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Torma F, Kerepesi C, Jókai M, Babszki G, Koltai E, Ligeti B, Kalcsevszki R, McGreevy KM, Horvath S, Radák Z. Alterations of the gut microbiome are associated with epigenetic age acceleration and physical fitness. Aging Cell 2024; 23:e14101. [PMID: 38414315 PMCID: PMC11019127 DOI: 10.1111/acel.14101] [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: 10/23/2023] [Revised: 01/20/2024] [Accepted: 01/23/2024] [Indexed: 02/29/2024] Open
Abstract
Epigenetic clocks can measure aging and predict the incidence of diseases and mortality. Higher levels of physical fitness are associated with a slower aging process and a healthier lifespan. Microbiome alterations occur in various diseases and during the aging process, yet their relation to epigenetic clocks is not explored. To fill this gap, we collected metagenomic (from stool), epigenetic (from blood), and exercise-related data from physically active individuals and, by applying epigenetic clocks, we examined the relationship between gut flora, blood-based epigenetic age acceleration, and physical fitness. We revealed that an increased entropy in the gut microbiome of physically active middle-aged/old individuals is associated with accelerated epigenetic aging, decreased fitness, or impaired health status. We also observed that a slower epigenetic aging and higher fitness level can be linked to altered abundance of some bacterial species often linked to anti-inflammatory effects. Overall our data suggest that alterations in the microbiome can be associated with epigenetic age acceleration and physical fitness.
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Affiliation(s)
- Ferenc Torma
- Research Institute of Sport ScienceHungarian University of Sport ScienceBudapestHungary
- Sports Neuroscience Division, Advanced Research Initiative for Human High Performance (ARIHHP), Faculty of Health and Sport SciencesUniversity of TsukubaTsukubaIbarakiJapan
- Laboratory of Exercise Biochemistry and Neuroendocrinology, Faculty of Health and Sport SciencesUniversity of TsukubaTsukubaIbarakiJapan
| | - Csaba Kerepesi
- Institute for Computer Science and Control (SZTAKI)Hungarian Research Network (HUN‐REN)BudapestHungary
| | - Mátyás Jókai
- Research Institute of Sport ScienceHungarian University of Sport ScienceBudapestHungary
| | - Gergely Babszki
- Research Institute of Sport ScienceHungarian University of Sport ScienceBudapestHungary
| | - Erika Koltai
- Research Institute of Sport ScienceHungarian University of Sport ScienceBudapestHungary
| | - Balázs Ligeti
- Faculty of Information Technology and BionicsPázmány Péter Catholic UniversityBudapestHungary
| | - Regina Kalcsevszki
- Faculty of Information Technology and BionicsPázmány Péter Catholic UniversityBudapestHungary
| | - Kristen M. McGreevy
- Department of Biostatistics, Fielding School of Public HealthUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Steve Horvath
- Department of Biostatistics, Fielding School of Public HealthUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Altos Labs, Cambridge Institute of ScienceCambridgeUK
| | - Zsolt Radák
- Research Institute of Sport ScienceHungarian University of Sport ScienceBudapestHungary
- Waseda UniversityTokorozawaJapan
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19
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Graf GHJ, Aiello AE, Caspi A, Kothari M, Liu H, Moffitt TE, Muennig PA, Ryan CP, Sugden K, Belsky DW. Educational Mobility, Pace of Aging, and Lifespan Among Participants in the Framingham Heart Study. JAMA Netw Open 2024; 7:e240655. [PMID: 38427354 PMCID: PMC10907927 DOI: 10.1001/jamanetworkopen.2024.0655] [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: 10/10/2023] [Accepted: 01/04/2024] [Indexed: 03/02/2024] Open
Abstract
Importance People who complete more education live longer lives with better health. New evidence suggests that these benefits operate through a slowed pace of biological aging. If so, measurements of the pace of biological aging could offer intermediate end points for studies of how interventions to promote education will affect healthy longevity. Objective To test the hypothesis that upward educational mobility is associated with a slower pace of biological aging and increased longevity. Design, Setting, and Participants This prospective cohort study analyzed data from 3 generations of participants in the Framingham Heart Study: (1) the original cohort, enrolled beginning in 1948; (2) the Offspring cohort, enrolled beginning in 1971; and (3) the Gen3 cohort, enrolled beginning in 2002. A 3-generation database was constructed to quantify intergenerational educational mobility. Mobility data were linked with blood DNA-methylation data collected from the Offspring cohort in 2005 to 2008 (n = 1652) and the Gen3 cohort in 2009 to 2011 (n = 1449). Follow-up is ongoing. Data analysis was conducted from June 2022 to November 2023 using data obtained from the National Institutes of Health database of Genotypes and Phenotypes (dbGaP). Exposure Educational mobility was measured by comparing participants' educational outcomes with those of their parents. Main Outcomes and Measures The pace of biological aging was measured from whole-blood DNA-methylation data using the DunedinPACE epigenetic clock. For comparison purposes, the analysis was repeated using 4 other epigenetic clocks. Survival follow-up was conducted through 2019. Results This study analyzed data from 3101 participants from the Framingham Heart Study; 1652 were in the Offspring cohort (mean [SD] age, 65.57 [9.22] years; 764 [46.2%] male) and 1449 were in the Gen3 cohort (mean [SD] age, 45.38 [7.83] years; 691 [47.7%] male). Participants who were upwardly mobile in educational terms tended to have slower pace of aging in later life (r = -0.18 [95% CI, -0.23 to -0.13]; P < .001). This pattern of association was similar across generations and held in within-family sibling comparisons. There were 402 Offspring cohort participants who died over the follow-up period. Upward educational mobility was associated with lower mortality risk (hazard ratio, 0.89 [95% CI, 0.81 to 0.98]; P = .01). Slower pace of aging accounted for approximately half of this association. Conclusions and Relevance This cohort study's findings support the hypothesis that interventions to promote educational attainment may slow the pace of biological aging and promote longevity. Epigenetic clocks have potential as near-term outcome measures of intervention effects on healthy aging. Experimental evidence is needed to confirm findings.
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Affiliation(s)
- Gloria H. J. Graf
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
- Robert N. Butler Columbia Aging Center, New York, New York
| | - Allison E. Aiello
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
- Robert N. Butler Columbia Aging Center, New York, New York
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
- PROMENTA, University of Oslo, Oslo, Norway
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, King’s College London, London, United Kingdom
| | - Meeraj Kothari
- Robert N. Butler Columbia Aging Center, New York, New York
| | - Hexuan Liu
- School of Criminal Justice, University of Cincinnati, Cincinnati, Ohio
- Institute for Interdisciplinary Data Science, University of Cincinnati, Cincinnati, Ohio
| | - Terrie E. Moffitt
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
- PROMENTA, University of Oslo, Oslo, Norway
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, & Neuroscience, King’s College London, London, United Kingdom
| | - Peter A. Muennig
- Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, New York
| | - Calen P. Ryan
- Robert N. Butler Columbia Aging Center, New York, New York
| | - Karen Sugden
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Daniel W. Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
- Robert N. Butler Columbia Aging Center, New York, New York
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20
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Li Q, Legault V, Hermann Honfo S, Milot E, Jia Q, Wang F, Ferrucci L, Bandinelli S, Cohen AA. Physiological Dysregulation Proceeds and Predicts Health Outcomes Similarly in Chinese and Western Populations. J Gerontol A Biol Sci Med Sci 2024; 79:glad146. [PMID: 37313838 PMCID: PMC11491748 DOI: 10.1093/gerona/glad146] [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] [Received: 10/20/2022] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND A decade ago, we proposed an index of physiological dysregulation based on Mahalanobis distance (DM) that measures how far from the norm an individual biomarker profile is. While extensive validation has been performed, focus was mostly on Western populations with little comparison to developing countries, particularly at a physiological system level. The degree to which the approach would work in other sociocultural contexts and the similarity of dysregulation signatures across diverse populations are still open questions. METHODS Using 2 data sets from China and 3 from Western countries (United States, United Kingdom, and Italy), we calculated DM globally and per physiological system. We assessed pairwise correlations among systems, difference with age, prediction of mortality and age-related diseases, and sensitivity to interchanging data sets with one another as the reference in DM calculation. RESULTS Overall, results were comparable across all data sets. Different physiological systems showed distinct dysregulation processes. Association with age was moderate and often nonlinear, similarly for all populations. Mahalanobis distance predicted most health outcomes, although differently by physiological system. Using a Chinese population as the reference when calculating DM for Western populations, or vice versa, led to similar associations with health outcomes, with a few exceptions. CONCLUSIONS While small differences were noticeable, they did not systematically emerge between Chinese and Western populations, but rather diffusively across all data sets. These findings suggest that DM presents similar properties, notwithstanding sociocultural backgrounds, and that it is equally effective in capturing the loss of homeostasis that occurs during aging in diverse industrial human populations.
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Affiliation(s)
- Qing Li
- Center for Innovation Management Research of Xinjiang, Urumqi 830046, China
- School of Economics and Management, Xinjiang University, Urumqi 830046, China
| | - Véronique Legault
- PRIMUS Research Group, Department of Family Medicine, University of Sherbrooke, Sherbrooke, Quebec J1H 5N4, Canada
| | - Sewanou Hermann Honfo
- PRIMUS Research Group, Department of Family Medicine, University of Sherbrooke, Sherbrooke, Quebec J1H 5N4, Canada
| | - Emmanuel Milot
- Department of Chemistry, Biochemistry, and Physics, Université du Québec à Trois-Rivières, Trois-Rivières, Quebec G9A 5H7, Canada
| | - Qingzhou Jia
- School of Economics and Management, Xinjiang University, Urumqi 830046, China
| | - Fuqing Wang
- School of Economics and Management, Xinjiang University, Urumqi 830046, China
| | - Luigi Ferrucci
- Translational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital, Baltimore, Maryland 21225, USA
| | | | - Alan A Cohen
- PRIMUS Research Group, Department of Family Medicine, University of Sherbrooke, Sherbrooke, Quebec J1H 5N4, Canada
- Research Center on Aging, Sherbrooke, Quebec J1H 4C4, Canada
- Research Center of Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec J1H 5N4, Canada
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21
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Drouard G, Wang Z, Heikkinen A, Foraster M, Julvez J, Kanninen KM, van Kamp I, Pirinen M, Ollikainen M, Kaprio J. Lifestyle differences between co-twins are associated with decreased similarity in their internal and external exposome profiles. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.12.23299868. [PMID: 38168348 PMCID: PMC10760270 DOI: 10.1101/2023.12.12.23299868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Whether differences in lifestyle between co-twins are reflected in differences in their internal or external exposome profiles remains largely underexplored. We therefore investigated whether within-pair differences in lifestyle were associated with within-pair differences in exposome profiles across four domains: the external exposome, proteome, metabolome and epigenetic age acceleration (EAA). For each domain, we assessed the similarity of co-twin profiles using Gaussian similarities in up to 257 young adult same-sex twin pairs (54% monozygotic). We additionally tested whether similarity in one domain translated into greater similarity in another. Results suggest that a lower degree of similarity in co-twins' exposome profiles was associated with greater differences in their behavior and substance use. The strongest association was identified between excessive drinking behavior and the external exposome. Overall, our study demonstrates how social behavior and especially substance use are connected to the internal and external exposomes, while controlling for familial confounders.
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Affiliation(s)
- Gabin Drouard
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Zhiyang Wang
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Aino Heikkinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Maria Foraster
- PHAGEX Research Group, Blanquerna School of Health Science, Universitat Ramon Llull (URL), Barcelona, Spain
| | - Jordi Julvez
- Clinical and epidemiological Neuroscience (NeuroÈpia), Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- ISGlobal, Parc de Recerca Biomèdica de Barcelona (PRBB), Barcelona, Spain
| | - Katja M. Kanninen
- A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Irene van Kamp
- National Institute for Public Health and the Environment, centre for Sustainability, Environment and Health, Netherlands
| | - Matti Pirinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
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22
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Sugden K, Moffitt TE, Arpawong TE, Arseneault L, Belsky DW, Corcoran DL, Crimmins EM, Hannon E, Houts R, Mill JS, Poulton R, Ramrakha S, Wertz J, Williams BS, Caspi A. Cross-National and Cross-Generational Evidence That Educational Attainment May Slow the Pace of Aging in European-Descent Individuals. J Gerontol B Psychol Sci Soc Sci 2023; 78:1375-1385. [PMID: 37058531 PMCID: PMC10394986 DOI: 10.1093/geronb/gbad056] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Indexed: 04/15/2023] Open
Abstract
OBJECTIVES Individuals with more education are at lower risk of developing multiple, different age-related diseases than their less-educated peers. A reason for this might be that individuals with more education age slower. There are 2 complications in testing this hypothesis. First, there exists no definitive measure of biological aging. Second, shared genetic factors contribute toward both lower educational attainment and the development of age-related diseases. Here, we tested whether the protective effect of educational attainment was associated with the pace of aging after accounting for genetic factors. METHODS We examined data from 5 studies together totaling almost 17,000 individuals with European ancestry born in different countries during different historical periods, ranging in age from 16 to 98 years old. To assess the pace of aging, we used DunedinPACE, a DNA methylation algorithm that reflects an individual's rate of aging and predicts age-related decline and Alzheimer's disease and related disorders. To assess genetic factors related to education, we created a polygenic score based on the results of a genome-wide association study of educational attainment. RESULTS Across the 5 studies, and across the life span, higher educational attainment was associated with a slower pace of aging even after accounting for genetic factors (meta-analysis effect size = -0.20; 95% confidence interval [CI]: -0.30 to -0.10; p = .006). Further, this effect persisted after taking into account tobacco smoking (meta-analysis effect size = -0.13; 95% CI: -0.21 to -0.05; p = .01). DISCUSSION These results indicate that higher levels of education have positive effects on the pace of aging, and that the benefits can be realized irrespective of individuals' genetics.
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Affiliation(s)
- Karen Sugden
- Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
| | - Terrie E Moffitt
- Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Thalida Em Arpawong
- Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
| | - Louise Arseneault
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Daniel W Belsky
- Department of Epidemiology and Butler Columbia Aging Center, Columbia University Mailman School of Public Health, Columbia University, New York, New York, USA
| | - David L Corcoran
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Eileen M Crimmins
- Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
| | - Eilis Hannon
- Complex Disease Epigenetics Group, University of Exeter Medical School, Exeter, UK
| | - Renate Houts
- Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
| | - Jonathan S Mill
- Complex Disease Epigenetics Group, University of Exeter Medical School, Exeter, UK
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Jasmin Wertz
- Department of Psychology, School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Avshalom Caspi
- Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
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23
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Kankaanpää A, Tolvanen A, Joensuu L, Waller K, Heikkinen A, Kaprio J, Ollikainen M, Sillanpää E. The associations of long-term physical activity in adulthood with later biological ageing and all-cause mortality - a prospective twin study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.02.23290916. [PMID: 37333101 PMCID: PMC10274991 DOI: 10.1101/2023.06.02.23290916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Objectives The association between leisure-time physical activity (LTPA) and a lower risk of mortality is susceptible to bias from multiple sources. We investigated the potential of biological ageing to mediate the association between long-term LTPA and mortality and whether the methods used to account for reverse causality affect the interpretation of this association. Methods Study participants were twins from the older Finnish Twin Cohort (n=22,750; 18-50 years at baseline). LTPA was assessed using questionnaires in 1975, 1981 and 1990. The mortality follow-up lasted until 2020 and biological ageing was assessed using epigenetic clocks in a subsample (n=1,153) with blood samples taken during the follow-up. Using latent profile analysis, we identified classes with distinct longitudinal LTPA patterns and studied differences in biological ageing between these classes. We employed survival models to examine differences in total, short-term and long-term all-cause mortality, and multilevel models for twin data to control for familial factors. Results We identified four classes of long-term LTPA: sedentary, moderately active, active and highly active. Although biological ageing was accelerated in sedentary and highly active classes, after adjusting for other lifestyle-related factors, the associations mainly attenuated. Physically active classes had a maximum 7% lower risk of total mortality over the sedentary class, but this association was consistent only in the short term and could largely be accounted for by familial factors. LTPA exhibited less favourable associations when prevalent diseases were exclusion criteria rather than covariate. Conclusion Being active may reflect a healthy phenotype instead of causally reducing mortality.
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Affiliation(s)
- Anna Kankaanpää
- Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Asko Tolvanen
- Methodology Center for Human Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Laura Joensuu
- Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Katja Waller
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Aino Heikkinen
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Elina Sillanpää
- Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Wellbeing services county of Central Finland, Jyväskylä, Finland
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24
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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: 100] [Impact Index Per Article: 50.0] [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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25
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Martínez CF, Esposito S, Di Castelnuovo A, Costanzo S, Ruggiero E, De Curtis A, Persichillo M, Hébert JR, Cerletti C, Donati MB, de Gaetano G, Iacoviello L, Gialluisi A, Bonaccio M. Association between the Inflammatory Potential of the Diet and Biological Aging: A Cross-Sectional Analysis of 4510 Adults from the Moli-Sani Study Cohort. Nutrients 2023; 15:nu15061503. [PMID: 36986232 PMCID: PMC10056325 DOI: 10.3390/nu15061503] [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: 02/15/2023] [Revised: 03/16/2023] [Accepted: 03/18/2023] [Indexed: 03/30/2023] Open
Abstract
Chronological age (CA) may not accurately reflect the health status of an individual. Rather, biological age (BA) or hypothetical underlying "functional" age has been proposed as a relevant indicator of healthy aging. Observational studies have found that decelerated biological aging or Δage (BA-CA) is associated with a lower risk of disease and mortality. In general, CA is associated with low-grade inflammation, a condition linked to the risk of the incidence of disease and overall cause-specific mortality, and is modulated by diet. To address the hypothesis that diet-related inflammation is associated with Δage, a cross-sectional analysis of data from a sub-cohort from the Moli-sani Study (2005-2010, Italy) was performed. The inflammatory potential of the diet was measured using the Energy-adjusted Dietary Inflammatory Index (E-DIITM) and a novel literature-based dietary inflammation score (DIS). A deep neural network approach based on circulating biomarkers was used to compute BA, and the resulting Δage was fit as the dependent variable. In 4510 participants (men 52.0%), the mean of CA (SD) was 55.6 y (±11.6), BA 54.8 y (±8.6), and Δage -0.77 (±7.7). In a multivariable-adjusted analysis, an increase in E-DIITM and DIS scores led to an increase in Δage (β = 0.22; 95%CI 0.05, 0.38; β = 0.27; 95%CI 0.10, 0.44, respectively). We found interaction for DIS by sex and for E-DIITM by BMI. In conclusion, a pro-inflammatory diet is associated with accelerated biological aging, which likely leads to an increased long-term risk of inflammation-related diseases and mortality.
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Affiliation(s)
- Claudia F Martínez
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
- Population Health Research Center, National Institute of Public Health, Cuernavaca 62100, Mexico
| | - Simona Esposito
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | | | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | - Emilia Ruggiero
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | - Amalia De Curtis
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | - Mariarosaria Persichillo
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | - James R Hébert
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC 29201, USA
| | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | - Maria Benedetta Donati
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | - Giovanni de Gaetano
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, 21100 Varese-Como, Italy
| | - Alessandro Gialluisi
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
| | - Marialaura Bonaccio
- Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy
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Baenas I, Neufeld CB, Ramos R, Munguía L, Pessa RP, Rodrigues T, Jiménez-Murcia S, Gonçalves S, Teodoro MC, Pinto-Bastos A, Almeida NO, Granero R, Etxandi M, Soares SRS, Fernández-Aranda F, Machado PPP. Eating disorders during lockdown: the transcultural influence on eating and mood disturbances in Ibero-Brazilian population. J Eat Disord 2023; 11:39. [PMID: 36906672 PMCID: PMC10008014 DOI: 10.1186/s40337-023-00762-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 02/23/2023] [Indexed: 03/13/2023] Open
Abstract
BACKGROUND COVID-19 pandemic has implied exceptional restrictive measures to contain its widespread, with adverse consequences on mental health, especially for those people with a background of mental illness, such as eating disorders (EDs). In this population, the influence of socio-cultural aspects on mental health has been still underexplored. Then, the main aim of this study was to assess changes in eating and general psychopathology in people with EDs during lockdown regarding the ED subtype, age, and provenance, and considering socio-cultural aspects (e.g., socioeconomical factors such as work and financial losses, social support, restrictive measures, or health accessibility, among others). METHODS The clinical sample was composed of 264 female participants with EDs (74 anorexia nervosa (AN), 44 bulimia nervosa (BN), 81 binge eating disorder (BED), and 65 other specified feeding and eating disorder (OSFED)), with a mean age of 33.49 years old (SD = 12.54), from specialized ED units in Brazil, Portugal, and Spain. The participants were evaluated using the COVID-19 Isolation Eating Scale (CIES). RESULTS A global impairment in mood symptoms and emotion regulation was reported in all the ED subtypes, groups of age, and countries. Spanish and Portuguese individuals seemed more resilient than Brazilian ones (p < .05), who reported a more adverse socio-cultural context (i.e., physical health, socio-familial, occupational, and economic status) (p < .001). A global trend to eating symptoms worsening during lockdown was observed, regardless of the ED subtype, group of age, and country, but without reaching statistical significance. However, the AN and BED groups described the highest worsening of the eating habits during lockdown. Moreover, individuals with BED significantly increased their weight and body mass index, similarly to BN, and in contrast to the AN and OSFED groups. Finally, we failed to find significant differences between groups of age although the younger group described a significant worsening of the eating symptoms during lockdown. CONCLUSIONS This study reports a psychopathological impairment in patients with EDs during lockdown, being socio-cultural aspects potential modulatory factors. Individualized approaches to detect special vulnerable groups and long-term follow-ups are still needed.
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Affiliation(s)
- Isabel Baenas
- Eating Disorders Unit, Department of Psychology, Bellvitge University Hospital-IDIBELL, 08907, Barcelona, Spain.,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), 08908, Barcelona, Spain
| | - Carmem Beatriz Neufeld
- Department of Psychology, Faculty of Philosophy, Sciences and Languages of Ribeirão Preto, University of São Paulo, São Paulo, Brazil
| | - Rita Ramos
- Psychotherapy and Psychopathology Lab-Psychology Research Center, School of Psychology, University of Minho, 4710-057, Braga, Portugal
| | - Lucero Munguía
- Eating Disorders Unit, Department of Psychology, Bellvitge University Hospital-IDIBELL, 08907, Barcelona, Spain.,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), 08908, Barcelona, Spain
| | - Rosane P Pessa
- Department of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, São Paulo, Brazil
| | - Tânia Rodrigues
- Psychotherapy and Psychopathology Lab-Psychology Research Center, School of Psychology, University of Minho, 4710-057, Braga, Portugal
| | - Susana Jiménez-Murcia
- Eating Disorders Unit, Department of Psychology, Bellvitge University Hospital-IDIBELL, 08907, Barcelona, Spain.,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), 08908, Barcelona, Spain.,Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907, Barcelona, Spain
| | - Sónia Gonçalves
- Psychotherapy and Psychopathology Lab-Psychology Research Center, School of Psychology, University of Minho, 4710-057, Braga, Portugal
| | - Marília C Teodoro
- Department of Psychology, Faculty of Philosophy, Sciences and Languages of Ribeirão Preto, University of São Paulo, São Paulo, Brazil
| | - Ana Pinto-Bastos
- Psychotherapy and Psychopathology Lab-Psychology Research Center, School of Psychology, University of Minho, 4710-057, Braga, Portugal
| | - Nazaré O Almeida
- Department of Psychology, Faculty of Philosophy, Sciences and Languages of Ribeirão Preto, University of São Paulo, São Paulo, Brazil
| | - Roser Granero
- Eating Disorders Unit, Department of Psychology, Bellvitge University Hospital-IDIBELL, 08907, Barcelona, Spain.,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Barcelona, Spain.,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), 08908, Barcelona, Spain.,Department of Psychobiology and Methodology, Autonomous University of Barcelona, 08193, Barcelona, Spain
| | - Mikel Etxandi
- Eating Disorders Unit, Department of Psychology, Bellvitge University Hospital-IDIBELL, 08907, Barcelona, Spain.,Department of Psychiatry, Hospital Universitari Germans Trias I Pujol, IGTP Campus Can Ruti, Badalona, Spain
| | - Shauana R S Soares
- Program Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, Brazil
| | - Fernando Fernández-Aranda
- Eating Disorders Unit, Department of Psychology, Bellvitge University Hospital-IDIBELL, 08907, Barcelona, Spain. .,CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Barcelona, Spain. .,Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), 08908, Barcelona, Spain. .,Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907, Barcelona, Spain.
| | - Paulo P P Machado
- Psychotherapy and Psychopathology Lab-Psychology Research Center, School of Psychology, University of Minho, 4710-057, Braga, Portugal.
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Raffington L, Schneper L, Mallard T, Fisher J, Vinnik L, Hollis-Hansen K, Notterman DA, Tucker-Drob EM, Mitchell C, Harden KP. Measuring the long arm of childhood in real-time: Epigenetic predictors of BMI and social determinants of health across childhood and adolescence. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.20.524709. [PMID: 36712110 PMCID: PMC9882281 DOI: 10.1101/2023.01.20.524709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Children who are socioeconomically disadvantaged are at increased risk for high body mass index (BMI) and multiple diseases in adulthood. The developmental origins of health and disease hypothesis proposes that early life conditions affect later-life health in a manner that is only partially modifiable by later-life experiences. Epigenetic mechanisms may regulate the influence of early life conditions on later life health. Recent epigenetic studies of adult blood samples have identified DNA-methylation sites associated with higher BMI and worse health (epigenetic-BMI). Here, we used longitudinal and twin study designs to examine whether epigenetic predictors of BMI developed in adults are valid biomarkers of child BMI and are sensitive to early life social determinants of health. Salivary epigenetic-BMI was calculated from two samples: (1) N=1,183 8-to-19-year-olds (609 female, mean age=13.4) from the Texas Twin Project (TTP), and (2) N=2,020 children (1,011 female) measured at 9 and 15 years from the Future of Families and Child Well-Being Study (FFCWS). We found that salivary epigenetic-BMI is robustly associated with children's BMI (r=0.36 to r=0.50). Longitudinal analysis suggested that epigenetic-BMI is highly stable across adolescence, but remains both a leading and lagging indicator of BMI change. Twin analyses showed that epigenetic-BMI captures differences in BMI between monozygotic twins. Moreover, children from more disadvantaged socioeconomic status (SES) and marginalized race/ethnic groups had higher epigenetic-BMI, even when controlling for concurrent BMI, pubertal development, and tobacco exposure. SES at birth relative to concurrent SES best predicted epigenetic-BMI in childhood and adolescence. We show for the first time that epigenetic predictors of BMI calculated from pediatric saliva samples are valid biomarkers of childhood BMI that are sensitive to social inequalities. Our findings are in line with the hypothesis that early life conditions are especially important factors in epigenetic regulation of later life health. Research showing that health later in life is linked to early life conditions have important implications for the development of early-life interventions that could significantly extend healthy life span.
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Affiliation(s)
- Laurel Raffington
- Max Planck Institute for Human Development, Max Planck Research Group Biosocial – Biology, Social Disparities, and Development, Lentzeallee 94, 14195 Berlin, Germany
- Population Research Center, The University of Texas at Austin, Austin, TX, USA
| | - Lisa Schneper
- Department of Molecular Biology, Princeton University, Princeton, NJ
| | - Travis Mallard
- Population Research Center, The University of Texas at Austin, Austin, TX, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Jonah Fisher
- Survey Research Center, University of Michigan, Ann Arbor, MI
| | - Liza Vinnik
- Population Research Center, The University of Texas at Austin, Austin, TX, USA
| | | | | | | | - Colter Mitchell
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Population Studies Center, University of Michigan, Ann Arbor, MI
| | - Kathryn P. Harden
- Population Research Center, The University of Texas at Austin, Austin, TX, USA
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