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Michels KB, Binder AM. Impact of folic acid supplementation on the epigenetic profile in healthy unfortified individuals - a randomized intervention trial. Epigenetics 2024; 19:2293410. [PMID: 38096372 PMCID: PMC10730197 DOI: 10.1080/15592294.2023.2293410] [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: 08/03/2023] [Accepted: 12/05/2023] [Indexed: 12/18/2023] Open
Abstract
Folate is an essential mediator in one-carbon metabolism, which provides methyl groups for DNA synthesis and methylation. The availability of active methyl groups can be influenced by the uptake of folic acid. We conducted a randomized intervention trial to test the influence of folic acid supplementation on DNA methylation in an unfortified population in Germany. A total of 16 healthy male volunteers (age range 23-61 y) were randomized to receive either 400 μg (n = 9) or 800 μg (n = 7) folic acid supplements daily for 8 weeks. Infinium Human Methylation 450K BeadChip Microarrays were used to assay site-specific DNA methylation across the genome. Microarray analyses were conducted on PBL DNA. We estimated several epigenetic clocks and mean DNA methylation across all autosomal probes on the array. AgeAccel was estimated as the residual variation in each metric. In virtually all participants, both serum and red blood cell (RBC) folate increased successively throughout the trial period. Participants with a larger increase in RBC folate had a larger increase in DNAmAge AgeAccel (Spearman Rho: 0.56, p-value = 0.03). No notable changes in the methylome resulting from the folic acid supplementation emerged. In this population with adequate folate levels derived from diet, an increase in RBC folate had a modest impact on the epigenetic clock predicting chronologic age.
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Affiliation(s)
- Karin B. Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Alexandra M. Binder
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
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2
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Zhao M, Yu H, He S, He X, Chen J. Association of life's essential 8 score with risk of all-cause and cardiovascular disease-related mortality in individuals with hypertension. BMC Cardiovasc Disord 2024; 24:465. [PMID: 39215222 PMCID: PMC11363610 DOI: 10.1186/s12872-024-04115-3] [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: 11/19/2023] [Accepted: 08/09/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND The American Heart Association (AHA) recently defined a new concept of cardiovascular health-Life's Essential 8 (LE8). We sought to examine whether LE8 score is associated with a risk of all-cause and cardiovascular disease (CVD)-related mortality in individuals with hypertension. METHODS This longitudinal study analyzed data from the National Health and Nutrition Examination Survey from 2007 to 2018 in people 20 years or older with hypertension. LE8 score (range 0-100) was measured according to the AHA definition and divided into unweighted tertiles into groups T1 (< 50.00), T2 (50.00-61.25), and T3 (≥ 61.25). Primary outcomes included all-cause mortality and CVD-specific mortality. RESULTS A total of 15,318 individuals with hypertension were included in this study, with a mean ± standard error age of 55.06 ± 0.25 years. During the median follow-up period of 76 months, 2525 all-cause mortality occurred, of which 806 were due to CVD. Compared with participants with hypertension in the T1 group, those in T2 and T3 respectively had 28% (adjusted HR = 0.72, 95% CI 0.63-0.83, P < 0.001) and 39% (adjusted HR = 0.61, 95% CI 0.52-0.72, P < 0.001) lower risk of all-cause mortality, the T2 and T3 groups were associated with 32% (adjusted HR = 0.68, 95% CI 0.53-0.88, P = 0.003) and 36% (adjusted HR = 0.64, 95% CI 0.49-0.84, P = 0.001) reduced risk of CVD mortality separately. CONCLUSIONS A higher LE8 score is associated with a lower risk of all-cause mortality and CVD mortality, and the higher LE8 score can be maintained in the clinic to improve prognosis by modifying the diet and lifestyle habits of individuals with hypertension.
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Affiliation(s)
- Minghu Zhao
- Department of Cardiology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, 7 Weiwu Street, Zhengzhou 45000, Zhengzhou, China
| | - Haijia Yu
- Department of Cardiology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, 7 Weiwu Street, Zhengzhou 45000, Zhengzhou, China
| | - Suyuan He
- Department of Cardiology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, 7 Weiwu Street, Zhengzhou 45000, Zhengzhou, China
| | - Xiaojing He
- Department of Pathophysiology, School of Basic Medicine, Sanquan College of Xinxiang Medical University, Xinxiang, China
| | - Jugang Chen
- Department of Cardiology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, 7 Weiwu Street, Zhengzhou 45000, Zhengzhou, China.
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3
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García-delaTorre P, Rivero-Segura NA, Sánchez-García S, Becerril-Rojas K, Sandoval-Rodriguez FE, Castro-Morales D, Cruz-Lopez M, Vazquez-Moreno M, Rincón-Heredia R, Ramirez-Garcia P, Gomez-Verjan JC. GrimAge is elevated in older adults with mild COVID-19 an exploratory analysis. GeroScience 2024; 46:3511-3524. [PMID: 38358578 PMCID: PMC11226692 DOI: 10.1007/s11357-024-01095-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/07/2024] [Indexed: 02/16/2024] Open
Abstract
COVID-19 has been contained; however, the side effects associated with its infection continue to be a challenge for public health, particularly for older adults. On the other hand, epigenetic status contributes to the inter-individual health status and is associated with COVID-19 severity. Nevertheless, current studies focus only on severe COVID-19. Considering that most of the worldwide population developed mild COVID-19 infection. In the present exploratory study, we aim to analyze the association of mild COVID-19 with epigenetic ages (HorvathAge, HannumAge, GrimAge, PhenoAge, SkinAge, and DNAmTL) and clinical variables obtained from a Mexican cohort of older adults. We found that all epigenetic ages significantly differ from the chronological age, but only GrimAge is elevated. Additionally, both the intrinsic epigenetic age acceleration (IEAA) and the extrinsic epigenetic age acceleration (EEAA) are accelerated in all patients. Moreover, we found that immunological estimators and DNA damage were associated with PhenoAge, SkinBloodHorvathAge, and HorvathAge, suggesting that the effects of mild COVID-19 on the epigenetic clocks are mainly associated with inflammation and immunology changes. In conclusion, our results show that the effects of mild COVID-19 on the epigenetic clock are mainly associated with the immune system and an increase in GrimAge, IEAA, and EEAA.
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Affiliation(s)
- Paola García-delaTorre
- Unidad de Investigación Médica en Enfermedades Neurológicas, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, México
| | | | - Sergio Sánchez-García
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Área de Envejecimiento, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, 06720, Mexico City, Mexico
| | | | | | - Diana Castro-Morales
- Dirección de Investigación, Instituto Nacional de Geriatría (INGER), 10200, Mexico City, Mexico
| | - Miguel Cruz-Lopez
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, 06720, Mexico City, Mexico
| | - Miguel Vazquez-Moreno
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, 06720, Mexico City, Mexico
| | - Ruth Rincón-Heredia
- Unidad de Imagenología, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Ciudad Universitaria, 04510, Mexico City, Mexico
| | - Perla Ramirez-Garcia
- Dirección de Investigación, Instituto Nacional de Geriatría (INGER), 10200, Mexico City, Mexico
| | - Juan Carlos Gomez-Verjan
- Dirección de Investigación, Instituto Nacional de Geriatría (INGER), 10200, Mexico City, Mexico.
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Dinh VT, Hosalli R, Mullachery PH, Aggarwal B, German CA, Makarem N. Enhancing the Cardiovascular Health Construct With a Psychological Health Metric for Predicting Mortality Risk. JACC. ADVANCES 2024; 3:101112. [PMID: 39171211 PMCID: PMC11337711 DOI: 10.1016/j.jacadv.2024.101112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 06/08/2024] [Accepted: 06/09/2024] [Indexed: 08/23/2024]
Abstract
Background The American Heart Association's Life's Essential 8 (LE8) Presidential Advisory deemed psychological health foundational for cardiovascular health (CVH) but did not include it as a CVH metric. Objectives The purpose of this study was to evaluate associations of a CVH construct enhanced with a ninth metric for psychological health based on readily administered depression screening with mortality risk in U.S. adults. Methods Participants were 21,183 adults (mean age: 48y, 51% female, 11% Black, 15% Hispanic, 65% White) from the 2011 to 2018 National Health and Nutrition Examination Survey. The LE8 algorithm was used to assess CVH. Two enhanced CVH constructs that include a ninth psychological health metric based on depression screening using the Patient Health Questionnaires (PHQ-2 and PHQ-9) were computed. Multivariable Cox proportional hazards models compared all-cause and cause-specific mortality risk across CVH score tertiles and a priori defined categories (high: 80-100, moderate: 50-79, low: 0-49) in the overall sample and by sex and race and ethnicity. Results There were 1,397 deaths (414 cardiovascular and 329 cancer deaths). High vs low CVH scores, enhanced with PHQ-2 and PHQ-9, were associated with 69% and 70% lower mortality risk, while a high vs low LE8 score was associated with 65% lower risk (p-trend<0.001). Higher LE8 and enhanced CVH scores predicted lower mortality risk in both sexes and in Black and White but not Hispanic adults and were also associated with lower cardiovascular and cancer mortality. Both enhanced CVH scores had excellent performance for predicting mortality, similar to the LE8 score (C-statistic = 0.843 vs 0.842, P < 0.001). Conclusions A CVH construct enhanced with psychological health strongly predicts mortality. Inclusion of psychological health as a ninth CVH metric, with depression screening as a feasible proxy in clinical and public health settings, should be considered.
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Affiliation(s)
- Vanessa T. Dinh
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
| | - Rahul Hosalli
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
| | - Pricila H. Mullachery
- Department of Health Services Administration and Policy, College of Public Health, Temple University, Philadelphia, Pennsylvania, USA
| | - Brooke Aggarwal
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Charles A. German
- Section of Cardiology, University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA
| | - Nour Makarem
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
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5
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Kim K, Joyce BT, Zheng Y, Nannini DR, Wang J, Gordon-Larsen P, Bhatt A, Gabriel K, Shikany JM, Hu M, Chen A, Reges O, Carnethon MR, Lloyd-Jones DM, Zhang K, Hou L. Associations of Urban Blue and Green Spaces With Coronary Artery Calcification in Black Individuals and Disadvantaged Neighborhoods. Circulation 2024; 150:203-214. [PMID: 38934130 PMCID: PMC11250927 DOI: 10.1161/circulationaha.123.067992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 06/07/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Proximity to urban blue and green spaces has been associated with improved cardiovascular health; however, few studies have examined the role of race and socioeconomic status in these associations. METHODS Data were from the CARDIA study (Coronary Artery Risk Development in Young Adults). We included longitudinal measurements (1985-1986 to 2010-2011) of blue and green spaces, including percentage of blue space cover, distance to the nearest river, green space cover, and distance to the nearest major park. Presence of coronary artery calcification (CAC) was measured with noncontrast cardiac computed tomography in 2010 to 2011. The associations of blue and green spaces with CAC were assessed with generalized estimating equation regression with adjustment for demographics, individual and neighborhood socioeconomic status, health-related behaviors, and other health conditions. We conducted stratified analyses by race and neighborhood deprivation score to investigate whether the association varied according to social determinants of health. RESULTS The analytic sample included 1365 Black and 1555 White participants with a mean±SD age of 50.1±3.6 years. Among Black participants, shorter distance to a river and greater green space cover were associated with lower odds of CAC (per interquartile range decrease [1.45 km] to the river: odds ratio [OR], 0.90 [95% CI, 0.84-0.96]; per 10 percentage-point increase of green space cover: OR, 0.85 [95% CI, 0.75-0.95]). Among participants in deprived neighborhoods, greater green space cover was associated with lower odds of CAC (per a 10 percentage-point increase: OR, 0.89 [95% CI, 0.80-0.99]), whereas shorter distance to the park was associated with higher odds of CAC (per an interquartile range decrease [5.3 km]: OR, 1.07 [95% CI, 1.00-1.15]). Black participants in deprived neighborhoods had lower odds of CAC with shorter distance to a river (per an interquartile range decrease: OR, 0.90 [95% CI, 0.82-0.98]) and greater green space cover (per a 10 percentage-point increase: OR, 0.85 [95% CI, 0.75-0.97]). There was no statistical interaction between the blue and green spaces and race or neighborhood characteristics in association with CAC. CONCLUSIONS Longitudinally, shorter distance to a river and greater green space cover were associated with less CAC among Black participants and those in deprived neighborhoods. Shorter distance to a park was associated with increased odds of CAC among participants in deprived neighborhoods. Black participants residing in more deprived neighborhoods showed lower odds of CAC in association with greater exposure to river and green space cover.
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Affiliation(s)
- Kyeezu Kim
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon-si, Gyeonggi-do, South Korea
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brian T. Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Drew R. Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ankeet Bhatt
- Kaiser Permanente San Francisco Medical Center, Kaiser Permanente Northern California Division of Research, San Francisco, CA, USA
| | - Kelley Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - James M. Shikany
- Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ming Hu
- School of Architecture, University of Notre Dame, Notre Dame, IN, USA
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Orna Reges
- Department of Health Systems Management, Ariel University, Israel
| | - Mercedes R. Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kai Zhang
- Department of Environmental Health Sciences, University of Albany, State University of New York, Rensselaer, NY, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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6
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Barinda AJ, Hardi H, Louisa M, Khatimah NG, Marliau RM, Felix I, Fadhillah MR, Jamal AK. Repurposing effect of cardiovascular-metabolic drug to increase lifespan: a systematic review of animal studies and current clinical trial progress. Front Pharmacol 2024; 15:1373458. [PMID: 38966557 PMCID: PMC11223003 DOI: 10.3389/fphar.2024.1373458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 06/03/2024] [Indexed: 07/06/2024] Open
Abstract
With the increase in life expectancy, aging has emerged as a significant health concern. Due to its various mechanisms of action, cardiometabolic drugs are often repurposed for other indications, including aging. This systematic review analyzed and highlighted the repositioning potential of cardiometabolic drugs to increase lifespan as an aging parameter in animal studies and supplemented by information from current clinical trial registries. Systematic searching in animal studies was performed based on PICO: "animal," "cardiometabolic drug," and "lifespan." All clinical trial registries were also searched from the WHO International Clinical Trial Registry Platform (ICTRP). Analysis of 49 animal trials and 10 clinical trial registries show that various cardiovascular and metabolic drugs have the potential to target lifespan. Metformin, acarbose, and aspirin are the three most studied drugs in animal trials. Aspirin and acarbose are the promising ones, whereas metformin exhibits various results. In clinical trial registries, metformin, omega-3 fatty acid, acarbose, and atorvastatin are currently cardiometabolic drugs that are repurposed to target aging. Published clinical trial results show great potential for omega-3 and metformin in healthspan. Systematic Review Registration: crd.york.ac.uk/prospero/display_record.php?RecordID=457358, identifier: CRD42023457358.
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Affiliation(s)
- Agian Jeffilano Barinda
- Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
- Metabolic, Cardiovascular, and Aging Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Harri Hardi
- Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Melva Louisa
- Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Nurul Gusti Khatimah
- Master Program in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Rheza Meida Marliau
- Metabolic, Cardiovascular, and Aging Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Immanuel Felix
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Muhamad Rizqy Fadhillah
- Master Program in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Arief Kurniawan Jamal
- Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
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7
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Carbonneau M, Li Y, Prescott B, Liu C, Huan T, Joehanes R, Murabito JM, Heard‐Costa NL, Xanthakis V, Levy D, Ma J. Epigenetic Age Mediates the Association of Life's Essential 8 With Cardiovascular Disease and Mortality. J Am Heart Assoc 2024; 13:e032743. [PMID: 38808571 PMCID: PMC11255626 DOI: 10.1161/jaha.123.032743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 03/25/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Life's Essential 8 (LE8) is an enhanced metric for cardiovascular health. The interrelations among LE8, biomarkers of aging, and disease risks are unclear. METHODS AND RESULTS LE8 score was calculated for 5682 Framingham Heart Study participants. We implemented 4 DNA methylation-based epigenetic age biomarkers, with older epigenetic age hypothesized to represent faster biological aging, and examined whether these biomarkers mediated the associations between the LE8 score and cardiovascular disease (CVD), CVD-specific mortality, and all-cause mortality. We found that a 1 SD increase in the LE8 score was associated with a 35% (95% CI, 27-41; P=1.8E-15) lower risk of incident CVD, a 36% (95% CI, 24-47; P=7E-7) lower risk of CVD-specific mortality, and a 29% (95% CI, 22-35; P=7E-15) lower risk of all-cause mortality. These associations were partly mediated by epigenetic age biomarkers, particularly the GrimAge and the DunedinPACE scores. The potential mediation effects by epigenetic age biomarkers tended to be more profound in participants with higher genetic risk for older epigenetic age, compared with those with lower genetic risk. For example, in participants with higher GrimAge polygenic scores (greater than median), the mean proportion of mediation was 39%, 39%, and 78% for the association of the LE8 score with incident CVD, CVD-specific mortality, and all-cause mortality, respectively. No significant mediation was observed in participants with lower GrimAge polygenic score. CONCLUSIONS DNA methylation-based epigenetic age scores mediate the associations between the LE8 score and incident CVD, CVD-specific mortality, and all-cause mortality, particularly in individuals with higher genetic predisposition for older epigenetic age.
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Affiliation(s)
- Madeleine Carbonneau
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMD
- Framingham Heart StudyFraminghamMA
| | - Yi Li
- Department of BiostatisticsBoston University School of Public HealthBostonMA
| | - Brenton Prescott
- Section of Preventive Medicine and EpidemiologyBoston University School of MedicineBostonMA
| | - Chunyu Liu
- Department of BiostatisticsBoston University School of Public HealthBostonMA
| | - Tianxiao Huan
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMD
- Framingham Heart StudyFraminghamMA
| | - Roby Joehanes
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMD
- Framingham Heart StudyFraminghamMA
| | - Joanne M. Murabito
- Framingham Heart StudyFraminghamMA
- Department of MedicineSection of General Internal Medicine Boston University Chobanian & Avedisian School of Medicine, Boston, MA and Boston Medical CenterBostonMA
| | - Nancy L. Heard‐Costa
- Department of MedicineSection of General Internal Medicine Boston University Chobanian & Avedisian School of Medicine, Boston, MA and Boston Medical CenterBostonMA
| | - Vanessa Xanthakis
- Framingham Heart StudyFraminghamMA
- Department of BiostatisticsBoston University School of Public HealthBostonMA
- Section of Preventive Medicine and EpidemiologyBoston University School of MedicineBostonMA
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMD
- Framingham Heart StudyFraminghamMA
| | - Jiantao Ma
- Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and PolicyTufts UniversityBostonMA
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8
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Faria M, Ganz A, Galkin F, Zhavoronkov A, Snyder M. Psychogenic Aging: A Novel Prospect to Integrate Psychobiological Hallmarks of Aging. Transl Psychiatry 2024; 14:226. [PMID: 38816369 PMCID: PMC11139997 DOI: 10.1038/s41398-024-02919-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 12/20/2023] [Accepted: 05/08/2024] [Indexed: 06/01/2024] Open
Abstract
Psychological factors are amongst the most robust predictors of healthspan and longevity, yet are rarely incorporated into scientific and medical frameworks of aging. The prospect of characterizing and integrating the psychological influences of aging is therefore an unmet step for the advancement of geroscience. Psychogenic Aging research is an emerging branch of biogerontology that aims to address this gap by investigating the impact of psychological factors on human longevity. It is an interdisciplinary field that integrates complex psychological, neurological, and molecular relationships that can be best understood with precision medicine methodologies. This perspective argues that psychogenic aging should be considered an integral component of the Hallmarks of Aging framework, opening the doors for future biopsychosocial integration in longevity research. By providing a unique perspective on frequently overlooked aspects of organismal aging, psychogenic aging offers new insights and targets for anti-aging therapeutics on individual and societal levels that can significantly benefit the scientific and medical communities.
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Affiliation(s)
- Manuel Faria
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Ariel Ganz
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Alex Zhavoronkov
- Deep Longevity, Hong Kong, China
- Insilico Medicine, Hong Kong, China
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Michael Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
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9
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Sun X, Chen W, Razavi AC, Shi M, Pan Y, Li C, Argos M, Layden BT, Daviglus ML, He J, Carmichael OT, Bazzano LA, Kelly TN. Associations of Epigenetic Age Acceleration With CVD Risks Across the Lifespan: The Bogalusa Heart Study. JACC Basic Transl Sci 2024; 9:577-590. [PMID: 38984046 PMCID: PMC11228118 DOI: 10.1016/j.jacbts.2024.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 01/09/2024] [Accepted: 01/09/2024] [Indexed: 07/11/2024]
Abstract
Although epigenetic age acceleration (EAA) might serve as a molecular signature of childhood cardiovascular disease (CVD) risk factors and further promote midlife subclinical CVD, few studies have comprehensively examined these life course associations. This study sought to test whether childhood CVD risk factors predict EAA in adulthood and whether EAA mediates the association between childhood CVD risks and midlife subclinical disease. Among 1,580 Bogalusa Heart Study participants, we estimated extrinsic EAA, intrinsic EAA, PhenoAge acceleration (PhenoAgeAccel), and GrimAge acceleration (GrimAgeAccel) during adulthood. We tested prospective associations of longitudinal childhood body mass index (BMI), blood pressure, lipids, and glucose with EAAs using linear mixed effects models. After confirming EAAs with midlife carotid intima-media thickness and carotid plaque, structural equation models examined mediating effects of EAAs on associations of childhood CVD risk factors with subclinical CVD measures. After stringent multiple testing corrections, each SD increase in childhood BMI was significantly associated with 0.6-, 0.9-, and 0.5-year increases in extrinsic EAA, PhenoAgeAccel, and GrimAgeAccel, respectively (P < 0.001 for all 3 associations). Likewise, each SD increase in childhood log-triglycerides was associated with 0.5- and 0.4-year increases in PhenoAgeAccel and GrimAgeAccel (P < 0.001 for both), respectively, whereas each SD increase in childhood high-density lipoprotein cholesterol was associated with a 0.3-year decrease in GrimAgeAccel (P = 0.002). Our findings indicate that PhenoAgeAccel mediates an estimated 27.4% of the association between childhood log-triglycerides and midlife carotid intima-media thickness (P = 0.022). Our data demonstrate that early life CVD risk factors may accelerate biological aging and promote subclinical atherosclerosis.
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Affiliation(s)
- Xiao Sun
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Alexander C Razavi
- Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health, and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Medical College of Soochow University, Jiangsu, China
| | - Yang Pan
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Maria Argos
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, Illinois, USA
| | - Brian T Layden
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | | | - Lydia A Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
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10
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Nyárády BB, Kiss LZ, Bagyura Z, Merkely B, Dósa E, Láng O, Kőhidai L, Pállinger É. Growth and differentiation factor-15: A link between inflammaging and cardiovascular disease. Biomed Pharmacother 2024; 174:116475. [PMID: 38522236 DOI: 10.1016/j.biopha.2024.116475] [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: 12/21/2023] [Revised: 03/13/2024] [Accepted: 03/19/2024] [Indexed: 03/26/2024] Open
Abstract
Age-related disorders are closely linked to the accumulation of senescent cells. The senescence-associated secretory phenotype (SASP) sustains and progresses chronic inflammation, which is involved in cellular and tissue dysfunction. SASP-related growth and differentiation factor-15 (GDF-15) is an immunoregulatory cytokine that is coupled to aging and thus may have a regulatory role in the development and maintenance of atherosclerosis, a major cause of cardiovascular disease (CVD). Although the effects of GDF-15 are tissue-specific and dependent on microenvironmental changes such as inflammation, available data suggest that GDF-15 has a significant role in CVD. Thus, GDF-15 is a promising biomarker and potential therapeutic target for atherosclerotic CVD.
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Affiliation(s)
- Balázs Bence Nyárády
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest H-1122, Hungary.
| | - Loretta Zsuzsa Kiss
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest H-1122, Hungary.
| | - Zsolt Bagyura
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest H-1122, Hungary.
| | - Béla Merkely
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest H-1122, Hungary.
| | - Edit Dósa
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest H-1122, Hungary.
| | - Orsolya Láng
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Nagyvárad tér 4, Budapest H-1089, Hungary.
| | - László Kőhidai
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Nagyvárad tér 4, Budapest H-1089, Hungary.
| | - Éva Pállinger
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Nagyvárad tér 4, Budapest H-1089, Hungary.
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11
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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] [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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12
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Raab H, Hauser ER, Kwee LC, Shah SH, Kraus WE, Ward-Caviness CK. Associations among NMR-measured inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients. Aging (Albany NY) 2024; 16:6652-6672. [PMID: 38656877 PMCID: PMC11087135 DOI: 10.18632/aging.205758] [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: 07/14/2023] [Accepted: 03/13/2024] [Indexed: 04/26/2024]
Abstract
Research into aging has grown substantially with the creation of molecular biomarkers of biological age that can be used to determine age acceleration. Concurrently, nuclear magnetic resonance (NMR) assessment of biomarkers of inflammation and metabolism provides researchers with new ways to examine intermediate risk factors for chronic disease. We used data from a cardiac catheterization cohort to examine associations between biomarkers of cardiometabolic health and accelerated aging assessed using both gene expression (Transcriptomic Age) and DNA methylation (Hannum Age, GrimAge, Horvath Age, and Phenotypic Age). Linear regression models were used to associate accelerated aging with each outcome (cardiometabolic health biomarkers) while adjusting for chronological age, sex, race, and neighborhood socioeconomic status. Our study shows a robust association between GlycA and GrimAge (5.71, 95% CI = 4.36, 7.05, P = 7.94 × 10-16), Hannum Age (1.81, 95% CI = 0.65, 2.98, P = 2.30 × 10-3), and Phenotypic Age (2.88, 95% CI = 1.91, 3.87, P = 1.21 × 10-8). We also saw inverse associations between apolipoprotein A-1 and aging biomarkers. These associations provide insight into the relationship between aging and cardiometabolic health that may be informative for vulnerable populations.
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Affiliation(s)
- Henry Raab
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC 27514, USA
| | - Elizabeth R. Hauser
- Duke University Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - Lydia Coulter Kwee
- Duke University Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - Svati H. Shah
- Duke University Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - William E. Kraus
- Duke University Molecular Physiology Institute, Duke University, Durham, NC 27701, USA
| | - Cavin K. Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC 27514, USA
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13
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Raisi-Estabragh Z, Szabo L, Schuermans A, Salih AM, Chin CWL, Vágó H, Altmann A, Ng FS, Garg P, Pavanello S, Marwick TH, Petersen SE. Noninvasive Techniques for Tracking Biological Aging of the Cardiovascular System: JACC Family Series. JACC Cardiovasc Imaging 2024:S1936-878X(24)00082-2. [PMID: 38597854 DOI: 10.1016/j.jcmg.2024.03.001] [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: 10/04/2023] [Revised: 03/01/2024] [Accepted: 03/01/2024] [Indexed: 04/11/2024]
Abstract
Population aging is one of the most important demographic transformations of our time. Increasing the "health span"-the proportion of life spent in good health-is a global priority. Biological aging comprises molecular and cellular modifications over many years, which culminate in gradual physiological decline across multiple organ systems and predispose to age-related illnesses. Cardiovascular disease is a major cause of ill health and premature death in older people. The rate at which biological aging occurs varies across individuals of the same age and is influenced by a wide range of genetic and environmental exposures. The authors review the hallmarks of biological cardiovascular aging and their capture using imaging and other noninvasive techniques and examine how this information may be used to understand aging trajectories, with the aim of guiding individual- and population-level interventions to promote healthy aging.
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Affiliation(s)
- Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom.
| | - Liliana Szabo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; Semmelweis University, Heart and Vascular Center, Budapest, Hungary
| | - Art Schuermans
- Faculty of Medicine, KU Leuven, Leuven, Belgium; Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ahmed M Salih
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Department of Population Health Sciences, University of Leicester, Leicester UK; Department of Computer Science, Faculty of Science, University of Zakho, Zakho, Kurdistan Region, Iraq
| | - Calvin W L Chin
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore; Cardiovascular Academic Clinical Programme, Duke National University of Singapore Medical School, Singapore, Singapore
| | - Hajnalka Vágó
- Semmelweis University, Heart and Vascular Center, Budapest, Hungary
| | - Andre Altmann
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Fu Siong Ng
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Pankaj Garg
- University of East Anglia, Norwich Medical School, Norwich, United Kingdom; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
| | - Sofia Pavanello
- Occupational Medicine, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padua, Italy; Padua Hospital, Occupational Medicine Unit, Padua, Italy; University Center for Space Studies and Activities "Giuseppe Colombo" - CISAS, University of Padua, Padua, Italy
| | | | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom; Barts Heart Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; Health Data Research UK, London, United Kingdom
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14
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Hanski E, Joseph S, Raulo A, Wanelik KM, O'Toole Á, Knowles SCL, Little TJ. Epigenetic age estimation of wild mice using faecal samples. Mol Ecol 2024; 33:e17330. [PMID: 38561950 DOI: 10.1111/mec.17330] [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: 10/16/2023] [Revised: 02/19/2024] [Accepted: 03/01/2024] [Indexed: 04/04/2024]
Abstract
Age is a key parameter in population ecology, with a myriad of biological processes changing with age as organisms develop in early life then later senesce. As age is often hard to accurately measure with non-lethal methods, epigenetic methods of age estimation (epigenetic clocks) have become a popular tool in animal ecology and are often developed or calibrated using captive animals of known age. However, studies typically rely on invasive blood or tissue samples, which limit their application in more sensitive or elusive species. Moreover, few studies have directly assessed how methylation patterns and epigenetic age estimates compare across environmental contexts (e.g. captive or laboratory-based vs. wild animals). Here, we built a targeted epigenetic clock from laboratory house mice (strain C57BL/6, Mus musculus) using DNA from non-invasive faecal samples, and then used it to estimate age in a population of wild mice (Mus musculus domesticus) of unknown age. This laboratory mouse-derived epigenetic clock accurately predicted adult wild mice to be older than juveniles and showed that wild mice typically increased in epigenetic age over time, but with wide variation in epigenetic ageing rate among individuals. Our results also suggested that, for a given body mass, wild mice had higher methylation across targeted CpG sites than laboratory mice (and consistently higher epigenetic age estimates as a result), even among the smallest, juvenile mice. This suggests wild and laboratory mice may display different CpG methylation levels from very early in life and indicates caution is needed when developing epigenetic clocks on laboratory animals and applying them in the wild.
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Affiliation(s)
- Eveliina Hanski
- University of Oxford, Oxford, UK
- University of Helsinki, Helsinki, Finland
| | | | - Aura Raulo
- University of Oxford, Oxford, UK
- University of Turku, Turku, Finland
| | - Klara M Wanelik
- University of Oxford, Oxford, UK
- University of Surrey, Guildford, UK
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15
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Vlasschaert C, Lanktree MB, Rauh MJ, Kelly TN, Natarajan P. Clonal haematopoiesis, ageing and kidney disease. Nat Rev Nephrol 2024; 20:161-174. [PMID: 37884787 PMCID: PMC10922936 DOI: 10.1038/s41581-023-00778-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2023] [Indexed: 10/28/2023]
Abstract
Clonal haematopoiesis of indeterminate potential (CHIP) is a preclinical condition wherein a sizeable proportion of an individual's circulating blood cells are derived from a single mutated haematopoietic stem cell. CHIP occurs frequently with ageing - more than 10% of individuals over 65 years of age are affected - and is associated with an increased risk of disease across several organ systems and premature death. Emerging evidence suggests that CHIP has a role in kidney health, including associations with predisposition to acute kidney injury, impaired recovery from acute kidney injury and kidney function decline, both in the general population and among those with chronic kidney disease. Beyond its direct effect on the kidney, CHIP elevates the susceptibility of individuals to various conditions that can detrimentally affect the kidneys, including cardiovascular disease, obesity and insulin resistance, liver disease, gout, osteoporosis and certain autoimmune diseases. Aberrant pro-inflammatory signalling, telomere attrition and epigenetic ageing are potential causal pathophysiological pathways and mediators that underlie CHIP-related disease risk. Experimental animal models have shown that inhibition of inflammatory cytokine signalling can ameliorate many of the pathological effects of CHIP, and assessment of the efficacy and safety of this class of medications for human CHIP-associated pathology is ongoing.
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Affiliation(s)
| | - Matthew B Lanktree
- Department of Medicine and Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Michael J Rauh
- Department of Pathology and Molecular Medicine, Kingston, Ontario, Canada
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Pradeep Natarajan
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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16
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Mutambudzi M, Brown MT, Chen NW. Association of Epigenetic Age and Everyday Discrimination With Longitudinal Trajectories of Chronic Health Conditions in Older Adults. J Gerontol A Biol Sci Med Sci 2024; 79:glae005. [PMID: 38190429 PMCID: PMC10878241 DOI: 10.1093/gerona/glae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Indexed: 01/10/2024] Open
Abstract
We investigated the strength of the association between baseline epigenetic age, everyday discrimination, and trajectories of chronic health conditions (CHCs) across 3 study waves, among adults 50 years of age and older. We used 2016-2020 data from the Health and Retirement Study (HRS). Data for the PhenoAge and DNAm GrimAge second-generation epigenetic clocks were from the 2016 HRS Venous Blood Study. CHC trajectories were constructed using latent class growth curve models. Multinomial logistic regression models assessed the strength of the association between accelerated epigenetic age, everyday discrimination, and the newly constructed CHC trajectories for participants with complete data (n = 2 893). In the fully adjusted model, accelerated PhenoAge (relative risk ratios [RRR] = 2.53, 95% confidence interval [95% CI] = 1.81, 3.55) and DNAm GrimAge (RRR = 2.79, 95% CI = 1.95, 4.00) were associated with classification into the high CHC trajectory class. Racial disparities were evident, with increased risk of classification into the high trajectory class for Black (PhenoAge: RRR = 1.69, 95% CI = 1.07, 2.68) and reduced risk for Hispanic (PhenoAge: RRR = 0.32, 95% CI = 0.16, 0.64; DNAm GrimAge: RRR = 0.34, 95% CI = 0.17, 0.68), relative to White participants. Everyday discrimination was associated with classification into the medium-high (RRR = 1.28, 95% CI = 1.00, 1.64) and high (RRR = 1.52, 95% CI = 1.07, 2.16) trajectory classes in models assessing DNAm GrimAge. More research is needed to better understand the longitudinal health outcomes of accelerated aging and adverse social exposures. Such research may provide insights into vulnerable adults who may need varied welfare supports earlier than the mandated chronological age for access to federal and state resources.
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Affiliation(s)
- Miriam Mutambudzi
- Department of Public Health, Falk College of Sports and Human Dynamic, Syracuse University, Syracuse, New York, USA
| | - Maria T Brown
- School of Social Work and Aging Studies Institute, Syracuse University, Syracuse, New York, USA
| | - Nai-Wei Chen
- Department of Biomedical Informatics, Biostatistics and Medical Epidemiology, School of Medicine, University of Missouri, Columbia, Missouri, USA
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17
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Dye CK, Wu H, Jackson GL, Kidane A, Nkambule R, Lukhele NG, Malinga BP, Chekenyere R, El-Sadr WM, Baccarelli AA, Harris TG. Epigenetic aging in older people living with HIV in Eswatini: a pilot study of HIV and lifestyle factors and epigenetic aging. Clin Epigenetics 2024; 16:32. [PMID: 38403593 PMCID: PMC10895753 DOI: 10.1186/s13148-024-01629-7] [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: 09/26/2023] [Accepted: 01/12/2024] [Indexed: 02/27/2024] Open
Abstract
BACKGROUND People living with HIV (PLHIV) on effective antiretroviral therapy are living near-normal lives. Although they are less susceptible to AIDS-related complications, they remain highly vulnerable to non-communicable diseases. In this exploratory study of older PLHIV (OPLHIV) in Eswatini, we investigated whether epigenetic aging (i.e., the residual between regressing epigenetic age on chronological age) was associated with HIV-related parameters, and whether lifestyle factors modified these relationships. We calculated epigenetic aging focusing on the Horvath, Hannum, PhenoAge and GrimAge epigenetic clocks, and a pace of biological aging biomarker (DunedinPACE) among 44 OPLHIV in Eswatini. RESULTS Age at HIV diagnosis was associated with Hannum epigenetic age acceleration (EAA) (β-coefficient [95% Confidence Interval]; 0.53 [0.05, 1.00], p = 0.03) and longer duration since HIV diagnosis was associated with slower Hannum EAA (- 0.53 [- 1.00, - 0.05], p = 0.03). The average daily dietary intake of fruits and vegetables was associated with DunedinPACE (0.12 [0.03, 0.22], p = 0.01). The associations of Hannum EAA with the age at HIV diagnosis and duration of time since HIV diagnosis were attenuated when the average daily intake of fruits and vegetables or physical activity were included in our models. Diet and self-perceived quality of life measures modified the relationship between CD4+ T cell counts at participant enrollment and Hannum EAA. CONCLUSIONS Epigenetic age is more advanced in OPLHIV in Eswatini in those diagnosed with HIV at an older age and slowed in those who have lived for a longer time with diagnosed HIV. Lifestyle and quality of life factors may differentially affect epigenetic aging in OPLHIV. To our knowledge, this is the first study to assess epigenetic aging in OPLHIV in Eswatini and one of the few in sub-Saharan Africa.
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Affiliation(s)
- Christian K Dye
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 630 West 168th St. Room 16-416, New York, NY, 10032, USA.
| | - Haotian Wu
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 630 West 168th St. Room 16-416, New York, NY, 10032, USA
| | - Gabriela L Jackson
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 630 West 168th St. Room 16-416, New York, NY, 10032, USA
| | - Altaye Kidane
- ICAP at Columbia University, Mailman School of Public Health, New York, NY, USA
| | | | | | | | | | - Wafaa M El-Sadr
- ICAP at Columbia University, Mailman School of Public Health, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 630 West 168th St. Room 16-416, New York, NY, 10032, USA
| | - Tiffany G Harris
- ICAP at Columbia University, Mailman School of Public Health, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
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18
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Halabicky OM, Téllez-Rojo MM, Goodrich JM, Dolinoy DC, Mercado-García A, Hu H, Peterson KE. Prenatal and childhood lead exposure is prospectively associated with biological markers of aging in adolescence. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 913:169757. [PMID: 38176546 PMCID: PMC10823594 DOI: 10.1016/j.scitotenv.2023.169757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/06/2024]
Abstract
Few studies have related early life lead exposure to adolescent biological aging, a period characterized by marked increases in maturational tempo. We examined associations between prenatal and childhood lead exposure and adolescent biological age (mean 14.5 years) utilizing multiple epigenetic clocks including: intrinsic (IEAA), extrinsic (EEAA), Horvath, Hannum, PhenoAge, GrimAge, Skin-Blood, Wu, PedBE, as well as DNA methylation derived telomere length (DNAmTL). Epigenetic clocks and DNAmTL were calculated via adolescent blood DNA methylation measured by Infinium MethylationEPIC BeadChips. We constructed general linear models (GLMs) with individual lead measures predicting biological age. We additionally examined sex-stratified models and lead by sex interactions, adjusting for adolescent age and lead levels, maternal smoking and education, and proportion of cell types. We also estimated effects of lead exposure on biological age using generalized estimating equations (GEE). First trimester blood lead was positively associated with a 0.14 increase in EEAA age in the GLMs though not the GEE models (95%CI 0.03, 0.25). First and 2nd trimester blood lead levels were associated with a 0.02 year increase in PedBE age in GLM and GEE models (1st trimester, 95%CI 0.004, 0.03; 2nd trimester, 95%CI 0.01, 0.03). Third trimester and 24 month blood lead levels were associated with a -0.06 and -0.05 decrease in Skin-Blood age, respectively, in GLM models. Additionally, 3rd trimester blood lead levels were associated with a 0.08 year decrease in Hannum age in GLM and GEE models (95%CI -0.15, -0.01). There were multiple significant results in sex-stratified models and significant lead by sex interactions, where males experienced accelerated biological age, compared to females who saw a decelerated biological age, with respect to IEAA, EEAA, Horvath, Hannum, and PedBE clocks. Further research is needed to understand sex-specific relationships between lead exposure and measures of biological aging in adolescence and the trajectory of biological aging into young adulthood.
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Affiliation(s)
- O M Halabicky
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | - M M Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - J M Goodrich
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - D C Dolinoy
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - A Mercado-García
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - H Hu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - K E Peterson
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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19
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Willems YE, deSteiguer A, Tanksley PT, Vinnik L, Fraemke D, Okbay A, Richter D, Wagner GG, Hertwig R, Koellinger P, Tucker-Drob EM, Harden KP, Raffington L. Self-control is associated with health-relevant disparities in buccal DNA-methylation measures of biological aging in older adults. Clin Epigenetics 2024; 16:22. [PMID: 38331797 PMCID: PMC10854186 DOI: 10.1186/s13148-024-01637-7] [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: 09/08/2023] [Accepted: 01/29/2024] [Indexed: 02/10/2024] Open
Abstract
Self-control is a personality dimension that is associated with better physical health and a longer lifespan. Here, we examined (1) whether self-control is associated with buccal and saliva DNA-methylation (DNAm) measures of biological aging quantified in children, adolescents, and adults, and (2) whether biological aging measured in buccal DNAm is associated with self-reported health. Following preregistered analyses, we computed two DNAm measures of advanced biological age (principal-component PhenoAge and GrimAge Acceleration) and a DNAm measure of pace of aging (DunedinPACE) in buccal samples from the German Socioeconomic Panel Study (SOEP-G[ene], n = 1058, age range 0-72, Mage = 42.65) and saliva samples from the Texas Twin Project (TTP, n = 1327, age range 8-20, Mage = 13.50). We found that lower self-control was associated with advanced biological age in older adults (PhenoAge Acceleration β = - .34, [- .51, - .17], p < .001; GrimAge Acceleration β = - .34, [- .49, - .19], p < .001), but not young adults, adolescents or children. These associations remained statistically robust even after correcting for possible confounders such as socioeconomic contexts, BMI, or genetic correlates of low self-control. Moreover, a faster pace of aging and advanced biological age measured in buccal DNAm were associated with self-reported disease (PhenoAge Acceleration: β = .13 [.06, .19], p < .001; GrimAge Acceleration: β = .19 [.12, .26], p < .001; DunedinPACE: β = .09 [.02, .17], p = .01). However, effect sizes were weaker than observations in blood, suggesting that customization of DNAm aging measures to buccal and saliva tissues may be necessary. Our findings are consistent with the hypothesis that self-control is associated with health via pathways that accelerate biological aging in older adults.
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Affiliation(s)
- Y E Willems
- Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany
| | - A deSteiguer
- Population Research Center, The University of Texas, Austin, USA
| | - P T Tanksley
- Population Research Center, The University of Texas, Austin, USA
| | - L Vinnik
- Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany
| | - D Fraemke
- Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany
| | - A Okbay
- School of Business and Economics, Economics Fellow, Tinbergen Institute, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Complex Trait Genetics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - D Richter
- SHARE Berlin Institute GmbH, Berlin, Germany
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - G G Wagner
- Max Planck Institute for Human Development, Berlin, Germany
- German Socio Economic Panel Study (SOEP), Berlin, Germany
| | - R Hertwig
- Max Planck Institute for Human Development, Berlin, Germany
| | - P Koellinger
- School of Business and Economics, Economics Fellow, Tinbergen Institute, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Complex Trait Genetics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - E M Tucker-Drob
- Population Research Center, The University of Texas, Austin, USA
| | - K P Harden
- Population Research Center, The University of Texas, Austin, USA
| | - Laurel Raffington
- Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany.
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20
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Skinner HG, Palma-Gudiel H, Stewart JD, Love SA, Bhatti P, Shadyab AH, Wallace RB, Salmoirago-Blotcher E, Manson JE, Kroenke CH, Belsky DW, Li Y, Whitsel EA, Zannas AS. Stressful life events, social support, and epigenetic aging in the Women's Health Initiative. J Am Geriatr Soc 2024; 72:349-360. [PMID: 38149693 PMCID: PMC10922473 DOI: 10.1111/jgs.18726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 10/06/2023] [Accepted: 10/14/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND Elevated psychosocial stress has been linked with accelerated biological aging, including composite DNA methylation (DNAm) markers that predict aging-related outcomes ("epigenetic age"). However, no study has examined whether stressful life events (SLEs) are associated with epigenetic age acceleration in postmenopausal women, an aging population characterized by increased stress burden and disease risk. METHODS We leveraged the Women's Health Initiative, a large muti-ancestry cohort of postmenopausal women with available psychosocial stress measures over the past year and epigenomic data. SLEs and social support were ascertained via self-report questionnaires. Whole blood DNAm array (450 K) data were used to calculate five DNAm-based predictors of chronological age, health span and life span, and telomere length (HorvathAge, HannumAge, PhenoAge, GrimAge, DNAmTL). RESULTS After controlling for potential confounders, higher SLE burden was significantly associated with accelerated epigenetic aging, as measured by GrimAge (β: 0.34, 95% CI: 0.08, 0.59) and DNAmTL (β: -0.016, 95% CI: -0.028, -0.004). Exploratory analyses showed that SLEs-GrimAge associations were stronger in Black women as compared to other races/ethnicities and in those with lower social support levels. In women with lower social support, SLEs-DNAmTL associations showed opposite association in Hispanic women as compared to other race/ethnicity groups. CONCLUSIONS Our findings suggest that elevated stress burden is associated with accelerated epigenetic aging in postmenopausal women. Lower social support and/or self-reported race/ethnicity may modify the association of stress with epigenetic age acceleration. These findings advance understanding of how stress may contribute to aging-related outcomes and have important implications for disease prevention and treatment in aging women.
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Affiliation(s)
- Harlyn G. Skinner
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Helena Palma-Gudiel
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James D. Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Shelly-Ann Love
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Social and Scientific Systems Inc, a DLH Holdings company, Durham, NC, USA
| | - Parveen Bhatti
- Cancer Control Research, British Columbia Cancer Research Institute, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Robert B. Wallace
- Department of Epidemiology and Internal Medicine, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Candyce H. Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Daniel W. Belsky
- Department of Epidemiology, Columbia University, New York, NY USA
- Robert N. Butler Columbia Aging Center, Columbia University, New York, NY USA
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anthony S. Zannas
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Stress Initiative, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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21
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Shen R, Zou T. The association between cardiovascular health and depression: Results from the 2007-2020 NHANES. Psychiatry Res 2024; 331:115663. [PMID: 38064908 DOI: 10.1016/j.psychres.2023.115663] [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: 07/16/2023] [Revised: 12/02/2023] [Accepted: 12/04/2023] [Indexed: 01/02/2024]
Abstract
BACKGROUND Limited research has been conducted on the correlation between Life's Essential 8 (LE8), the recently updated algorithm for evaluating cardiovascular health (CVH), and depression. METHODS A total of 21,942 individuals were chosen from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2020. The depression was determined using the Patient Health Questionnaire (PHQ-9), with a score of 10 or higher indicating diagnosis. The LE8 score consists of 8 metrics: sleep health, diet, physical activity, nicotine exposure, body mass index, blood lipids, blood glucose, and blood pressure. Each LE8 metric was scored from 0 to 100 points. The summation of all metrics divided by 8 generated the total LE8 score and was categorized into low (0-49), moderate (50-79), and high (80-100) CVH. Weighted logistic regression and restricted cubic splines (RCS) were used to assess the association between LE8 score and depression. RESULTS A significant inversely nonlinear relationship was observed between LE8 score and depression. When compared to participants with high CVH, those with moderate CVH had multivariable adjusted odds ratios (ORs) for depression of 2.36 (95 % CI, 1.79-3.10), while those with low CVH had ORs of 4.71 (95 % CI, 3.44-6.47). Moreover, the effect size of the LE8 score on depression remained stable in all pre-specified subgroups, with all P-values for interaction being more than 0.05. CONCLUSIONS The results indicate a significant inversely nonlinear relationship between LE8 score and depression, particularly among males. These findings emphasize the importance of maintaining higher CVH as a preventive measure against depression.
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Affiliation(s)
- Ruihuan Shen
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, PR China
| | - Tong Zou
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, PR China.
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22
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Qiu W, Chen H, Kaeberlein M, Lee SI. ExplaiNAble BioLogical Age (ENABL Age): an artificial intelligence framework for interpretable biological age. THE LANCET. HEALTHY LONGEVITY 2023; 4:e711-e723. [PMID: 37944549 DOI: 10.1016/s2666-7568(23)00189-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 08/10/2023] [Accepted: 08/30/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Biological age is a measure of health that offers insights into ageing. The existing age clocks, although valuable, often trade off accuracy and interpretability. We introduce ExplaiNAble BioLogical Age (ENABL Age), a computational framework that combines machine-learning models with explainable artificial intelligence (XAI) methods to accurately estimate biological age with individualised explanations. METHODS To construct the ENABL Age clock, we first predicted an age-related outcome (eg, all-cause or cause-specific mortality), and then rescaled these predictions to estimate biological age, using UK Biobank and National Health and Nutrition Examination Survey (NHANES) datasets. We adapted existing XAI methods to decompose individual ENABL Ages into contributing risk factors. For broad accessibility, we developed two versions: ENABL Age-L, based on blood tests, and ENABL Age-Q, based on questionnaire characteristics. Finally, we validated diverse ageing mechanisms captured by each ENABL Age clock through genome-wide association studies (GWAS) association analyses. FINDINGS Our ENABL Age clock was significantly correlated with chronological age (r=0·7867, p<0·0001 for UK Biobank; r=0·7126, p<0·0001 for NHANES). These clocks distinguish individuals who are healthy (ie, their ENABL Age is lower than their chronological age) from those who are unhealthy (ie, their ENABL Age is higher than their chronological age), predicting mortality more effectively than existing clocks. Groups of individuals who were unhealthy showed approximately three to 12 times higher log hazard ratio than healthy groups, as per ENABL Age. The clocks achieved high mortality prediction power with an area under the receiver operating characteristic curve of 0·8179 for 5-year mortality and 0·8115 for 10-year mortality on the UK Biobank dataset, and 0·8935 for 5-year mortality and 0·9107 for 10-year mortality on the NHANES dataset. The individualised explanations that revealed the contribution of specific characteristics to ENABL Age provided insights into the important characteristics for ageing. An association analysis with risk factors and ageing-related morbidities and GWAS results on ENABL Age clocks trained on different mortality causes showed that each clock captures distinct ageing mechanisms. INTERPRETATION ENABL Age brings an important leap forward in the application of XAI for interpreting biological age clocks. ENABL Age also carries substantial potential in practical settings, assisting medical professionals in untangling the complexity of ageing mechanisms, and potentially becoming a valuable tool in informed clinical decision-making processes. FUNDING National Science Foundation and National Institutes of Health.
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Affiliation(s)
- Wei Qiu
- Paul G Allen School of Computer Science and Engineering, University of Washington, Washington, DC, USA
| | - Hugh Chen
- Paul G Allen School of Computer Science and Engineering, University of Washington, Washington, DC, USA
| | - Matt Kaeberlein
- Department of Laboratory Medicine and Pathology, University of Washington, Washington, DC, USA
| | - Su-In Lee
- Paul G Allen School of Computer Science and Engineering, University of Washington, Washington, DC, USA.
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23
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Silva N, Rajado AT, Esteves F, Brito D, Apolónio J, Roberto VP, Binnie A, Araújo I, Nóbrega C, Bragança J, Castelo-Branco P. Measuring healthy ageing: current and future tools. Biogerontology 2023; 24:845-866. [PMID: 37439885 PMCID: PMC10615962 DOI: 10.1007/s10522-023-10041-2] [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: 04/05/2023] [Accepted: 05/23/2023] [Indexed: 07/14/2023]
Abstract
Human ageing is a complex, multifactorial process characterised by physiological damage, increased risk of age-related diseases and inevitable functional deterioration. As the population of the world grows older, placing significant strain on social and healthcare resources, there is a growing need to identify reliable and easy-to-employ markers of healthy ageing for early detection of ageing trajectories and disease risk. Such markers would allow for the targeted implementation of strategies or treatments that can lessen suffering, disability, and dependence in old age. In this review, we summarise the healthy ageing scores reported in the literature, with a focus on the past 5 years, and compare and contrast the variables employed. The use of approaches to determine biological age, molecular biomarkers, ageing trajectories, and multi-omics ageing scores are reviewed. We conclude that the ideal healthy ageing score is multisystemic and able to encompass all of the potential alterations associated with ageing. It should also be longitudinal and able to accurately predict ageing complications at an early stage in order to maximize the chances of successful early intervention.
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Affiliation(s)
- Nádia Silva
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - Ana Teresa Rajado
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - Filipa Esteves
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - David Brito
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - Joana Apolónio
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - Vânia Palma Roberto
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal
| | - Alexandra Binnie
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal
- Department of Critical Care, William Osler Health System, Etobicoke, ON, Canada
| | - Inês Araújo
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Clévio Nóbrega
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - José Bragança
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Pedro Castelo-Branco
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal.
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal.
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal.
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal.
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24
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Jung AM, Furlong MA, Goodrich JM, Cardenas A, Beitel SC, Littau SR, Caban-Martinez AJ, Gulotta JJ, Wallentine DD, Urwin D, Gabriel J, Hughes J, Graber JM, Grant C, Burgess JL. Associations Between Epigenetic Age Acceleration and microRNA Expression Among U.S. Firefighters. Epigenet Insights 2023; 16:25168657231206301. [PMID: 37953967 PMCID: PMC10634256 DOI: 10.1177/25168657231206301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 09/20/2023] [Indexed: 11/14/2023] Open
Abstract
Epigenetic changes may be biomarkers of health. Epigenetic age acceleration (EAA), the discrepancy between epigenetic age measured via epigenetic clocks and chronological age, is associated with morbidity and mortality. However, the intersection of epigenetic clocks with microRNAs (miRNAs) and corresponding miRNA-based health implications have not been evaluated. We analyzed DNA methylation and miRNA profiles from blood sampled among 332 individuals enrolled across 2 U.S.-based firefighter occupational studies (2015-2018 and 2018-2020). We considered 7 measures of EAA in leukocytes (PhenoAge, GrimAge, Horvath, skin-blood, and Hannum epigenetic clocks, and extrinsic and intrinsic epigenetic age acceleration). We identified miRNAs associated with EAA using individual linear regression models, adjusted for sex, race/ethnicity, chronological age, and cell type estimates, and investigated downstream effects of associated miRNAs with miRNA enrichment analyses and genomic annotations. On average, participants were 38 years old, 88% male, and 75% non-Hispanic white. We identified 183 of 798 miRNAs associated with EAA (FDR q < 0.05); 126 with PhenoAge, 59 with GrimAge, 1 with Horvath, and 1 with the skin-blood clock. Among miRNAs associated with Horvath and GrimAge, there were 61 significantly enriched disease annotations including age-related metabolic and cardiovascular conditions and several cancers. Enriched pathways included those related to proteins and protein modification. We identified miRNAs associated with EAA of multiple epigenetic clocks. PhenoAge had more associations with individual miRNAs, but GrimAge and Horvath had greater implications for miRNA-associated pathways. Understanding the relationship between these epigenetic markers could contribute to our understanding of the molecular underpinnings of aging and aging-related diseases.
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Affiliation(s)
- Alesia M Jung
- Department of Community, Environment & Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
- Department of Pharmacology & Toxicology, R. Ken Coit College of Pharmacy, College of Public Health, Tucson, AZ, USA
| | - Melissa A Furlong
- Department of Community, Environment & Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Shawn C Beitel
- Department of Community, Environment & Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Sally R Littau
- Department of Community, Environment & Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Alberto J Caban-Martinez
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
| | | | | | - Derek Urwin
- Los Angeles County Fire Department, Los Angeles, CA, USA
- Department of Chemistry & Biochemistry, University of California Los Angeles, Los Angeles, CA, USA
- Division of Health Safety and Medicine, International Association of Fire Fighters, Washington, DC, USA
| | - Jamie Gabriel
- Los Angeles County Fire Department, Los Angeles, CA, USA
| | | | - Judith M Graber
- Department of Biostatistics & Epidemiology, School of Public Health, Rutgers University, Piscataway, NJ, USA
| | - Casey Grant
- Fire Protection Research Foundation, Quincy, MA, USA
| | - Jefferey L Burgess
- Department of Community, Environment & Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
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25
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Zannas AS, Linnstaedt SD, An X, Stevens JS, Harnett NG, Roeckner AR, Oliver KI, Rubinow DR, Binder EB, Koenen KC, Ressler KJ, McLean SA. Epigenetic aging and PTSD outcomes in the immediate aftermath of trauma. Psychol Med 2023; 53:7170-7179. [PMID: 36951141 DOI: 10.1017/s0033291723000636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
BACKGROUND Psychological trauma exposure and posttraumatic stress disorder (PTSD) have been associated with advanced epigenetic age. However, whether epigenetic aging measured at the time of trauma predicts the subsequent development of PTSD outcomes is unknown. Moreover, the neural substrates underlying posttraumatic outcomes associated with epigenetic aging are unclear. METHODS We examined a multi-ancestry cohort of women and men (n = 289) who presented to the emergency department (ED) after trauma. Blood DNA was collected at ED presentation, and EPIC DNA methylation arrays were used to assess four widely used metrics of epigenetic aging (HorvathAge, HannumAge, PhenoAge, and GrimAge). PTSD symptoms were evaluated longitudinally at the time of ED presentation and over the ensuing 6 months. Structural and functional neuroimaging was performed 2 weeks after trauma. RESULTS After covariate adjustment and correction for multiple comparisons, advanced ED GrimAge predicted increased risk for 6-month probable PTSD diagnosis. Secondary analyses suggested that the prediction of PTSD by GrimAge was driven by worse trajectories for intrusive memories and nightmares. Advanced ED GrimAge was also associated with reduced volume of the whole amygdala and specific amygdala subregions, including the cortico-amygdaloid transition and the cortical and accessory basal nuclei. CONCLUSIONS Our findings shed new light on the relation between biological aging and trauma-related phenotypes, suggesting that GrimAge measured at the time of trauma predicts PTSD trajectories and is associated with relevant brain alterations. Furthering these findings has the potential to enhance early prevention and treatment of posttraumatic psychiatric sequelae.
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Affiliation(s)
- Anthony S Zannas
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Stress Initiative, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xinming An
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Nathaniel G Harnett
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Alyssa R Roeckner
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Katelyn I Oliver
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - David R Rubinow
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Karestan C Koenen
- Department of Epidemiology, Harvard School of Public Health, Harvard University, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Harvard University, Boston, MA, USA
| | - Kerry J Ressler
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Samuel A McLean
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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26
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Ortiz-Whittingham LR, Baumer Y, Pang APS, Sampson M, Baez AS, Rose RR, Noonan SH, Mendez-Silva J, Collins BS, Mitchell VM, Cintron MA, Farmer N, Remaley AT, Corley MJ, Powell-Wiley TM. Associations between neighborhood socioeconomic deprivation, IFNγ, and high-density lipoprotein particle size: Data from the Washington, D.C. cardiovascular health and needs assessment. Psychoneuroendocrinology 2023; 157:106346. [PMID: 37651859 PMCID: PMC10543547 DOI: 10.1016/j.psyneuen.2023.106346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/15/2023] [Accepted: 07/28/2023] [Indexed: 09/02/2023]
Abstract
INTRODUCTION Neighborhood socioeconomic deprivation is associated with increased cardiovascular risk factors, including inflammation. Inflammation plays an important role in modifying the cardioprotective function of high-density lipoprotein (HDL). Moreover, recent studies suggest that very high HDL is associated with adverse cardiovascular disease (CVD) outcomes. Thus, we sought to explore the relationships between neighborhood socioeconomic deprivation as a marker of chronic stress, inflammation, proprotein convertase subtilisin/kexin type 9 (PCSK9) (a core component of the HDL proteome), HDL characterisitcs, and biological aging as a predictor of CVD and all-cause mortality. METHODS Sixty African American subjects were recruited to the NIH Clinical Center as part of a community-based participatory research-designed observational study. Neighborhood deprivation index (NDI), a marker of neighborhood socioeconomic deprivation, was measured using US Census data. HDL characteristics (cholesterol, particle number, size, subspecies) were determined from NMR lipoprotein profiling, and plasma cytokines (IL-1β, IL-6, IL-8, TNFα, IFNγ) were measured using an ELISA-based multiplex technique. Epigenetic clock biomarkers of aging were measured using DNA methylation data obtained from participants' buffy coat samples. We used linear regression modeling adjusted for atherosclerotic cardiovascular disease (ASCVD) risk score, body mass index (BMI), and lipid-lowering medication use to investigate relationships of interest. RESULTS NDI directly associated with large HDL particle count (H7P) and IFNγ and trended toward significance with HDL-C and PCSK9. IFNγ and PCSK9 then directly associated with H7P. H7P also directly associated with higher DNA methylation phenotypic age (PhenoAge). CONCLUSION We highlight associations between neighborhood socioeconomic deprivation, IFNγ, PCSK9, HDL subspecies, and epigenetic biomarkers of aging. Taken together, our findings suggest indirect pathways linking neighborhood deprivation-related stress and inflammation to HDL and immune epigenetic changes. Moreover, these results add to recent work showing the pathogenicity of high HDL levels and underscore the need to understand how chronic stress-related inflammation and lipoprotein subspecies relate to CVD risk across diverse populations.
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Affiliation(s)
- Lola R Ortiz-Whittingham
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Alina P S Pang
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - Andrew S Baez
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Rebecca R Rose
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Sarah H Noonan
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Joanna Mendez-Silva
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Billy S Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Valerie M Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Manuel A Cintron
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Nicole Farmer
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Michael J Corley
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States; Intramural Research Program, National Institutes on Minority Health and Health Disparities (NIMHD), National Institutes of Health, Bethesda, MD, United States.
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Dye CK, Wu H, Jackson GL, Kidane A, Nkambule R, Lukhele NG, Malinga BP, Chekenyere R, El-Sadr WM, Baccarelli AA, Harris TG. Epigenetic aging in older people living with HIV in Eswatini: a pilot study of HIV and lifestyle factors and epigenetic aging. RESEARCH SQUARE 2023:rs.3.rs-3389208. [PMID: 37886587 PMCID: PMC10602087 DOI: 10.21203/rs.3.rs-3389208/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Background People living with HIV (PLHIV) on effective antiretroviral therapy (ART) are living near-normal lives. Although they are less susceptible to AIDS-related complications, they remain highly vulnerable to non-communicable diseases (NCD). In this exploratory study of older PLHIV (OPLHIV) in Eswatini, we investigated whether biological aging (i.e., the difference between epigenetic age and chronological age, termed 'epigenetic age acceleration [EAA]') was associated with HIV-related parameters, and whether lifestyle factors modified these relationships. We calculated EAA focusing on the second-generation epigenetic clocks, PhenoAge and GrimAge, and a pace of aging biomarker (DunedinPACE) among 44 OPLHIV in Eswatini. Results Among participants, the PhenoAge clock showed older epigenetic age (68 years old [63, 77]) but a younger GrimAge epigenetic age (median=56 years old [interquartile range=50, 61]) compared to the chronological age (59 years old [54, 66]). Participants diagnosed with HIV at an older age showed slower DunedinPACE (β-coefficient [95% Confidence Interval]; -0.02 [-0.04, -0.01], p=0.002) and longer duration since HIV diagnosis was associated with faster DunedinPACE (0.02 [0.01, 0.04], p=0.002). The average daily dietary intake of fruits and vegetables was associated with faster DunedinPACE (0.12 [0.03, 0.22], p=0.01) and modified the relationship between HIV status variables (number of years living with HIV since diagnosis, age at HIV diagnosis, CD4+ T cell counts) and PhenoAge EAA, and DunedinPACE. Conclusions Biological age is accelerated in OPLHIV in Eswatini, with those living with HIV for a longer duration at risk for faster biological aging. Lifestyle factors, especially healthier diets, may attenuate biological aging in OPLHIV. To our knowledge, this is the first study to assess biological aging in Eswatini and one of the few in sub-Saharan Africa.
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Affiliation(s)
| | - Haotian Wu
- Columbia University Mailman School of Public Health
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Wu S, Wu Z, Yu D, Chen S, Wang A, Wang A, Gao X. Life's Essential 8 and Risk of Stroke: A Prospective Community-Based Study. Stroke 2023; 54:2369-2379. [PMID: 37466001 DOI: 10.1161/strokeaha.123.042525] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 06/22/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Data are lacking regarding cardiovascular health (CVH) with Life's Essential 8 approach and future stroke risk. We sought to elucidate whether the CVH score constructed by the Life's Essential 8 metrics predicted stroke risk in 2 Chinese ongoing cohorts. METHODS This included 41 043 participants of the Kailuan I study and 27 842 participants of the Kailuan II study who were free of cardiovascular disease or cancer in 2014. CVH score (ranged from 0 to 100) was assessed using the Life's Essential 8 metrics (body mass index, cigarette smoking, diet quality, physical activity, sleep health, lipid, blood glucose, and blood pressure). A composite of incident stroke events (ischemic stroke and hemorrhagic stroke) was identified via review of medical records. The follow-up period was calculated from the finishing date of the 2014 survey to either the date of stroke occurrence, death, loss to follow-up, or the end of follow-up (December 31, 2020). We also examined the longitudinal association between the CVH score and arterial stiffness status, as assessed by brachial-ankle pulse wave velocity, in 25 922 participants free of cardiovascular disease during the follow-up. We performed a meta-analysis to assess the association between CVH, based on the 2010 American Heart Association recommendation, and stroke integrating the results of current study and previous studies. RESULTS During a median follow-up of 5.65 years (interquartile range, 5.20-6.09), a total of 1750 incident stroke events were identified in the pooled Kailuan study. The pooled hazard ratios were 0.33 (95% CI, 0.20-0.54) for ideal versus poor health category of CVH (Ptrend<0.0001). Higher CVH scores were also associated with lower brachial-ankle pulse wave velocity values at baseline and slower increments of brachial-ankle pulse wave velocity during follow-up (Ptrend≤0.001 for both). Arterial stiffness mediated 9.07% (95% CI, 5.83%-15.0%) of the total association between CVH and incident stroke. The pooled hazard ratio comparing 2 extreme CVH categories for stroke was 0.45 (95% CI, 0.35-0.59) when including 10 published studies and the current study. CONCLUSIONS The CVH score as assessed by the Life's Essential 8 metrics significantly predicted future stroke risk and arterial stiffness status.
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Affiliation(s)
- Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China (S.W., S.C.)
| | - Zhijun Wu
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, People's Republic of China (Z.W.)
| | - Dongmei Yu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China (D.Y.)
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China (S.W., S.C.)
| | - Aitian Wang
- Department of Intensive Medicine, Kailuan General Hospital, Tangshan, People's Republic of China (Aitian W.)
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China (Anxin W.)
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, People's Republic of China (X.G.)
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Willems YE, deSteiguer A, Tanksley PT, Vinnik L, Främke D, Okbay A, Richter D, Wagner GG, Hertwig R, Koellinger P, Tucker-Drob EM, Harden KP, Raffington L. Self-control is associated with health-relevant disparities in buccal DNA-methylation measures of biological aging in older adults. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.30.23294816. [PMID: 37693450 PMCID: PMC10491374 DOI: 10.1101/2023.08.30.23294816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Self-control is a personality dimension that is associated with better physical health and a longer lifespan. Here we examined (1) whether self-control is associated with buccal and saliva DNA-methylation (DNAm) measures of biological aging quantified in children, adolescents, and adults, and (2) whether biological aging measured in buccal DNAm is associated with self-reported health. Following preregistered analyses, we computed two DNAm measures of advanced biological age (PhenoAge and GrimAge Acceleration) and a DNAm measure of pace of aging (DunedinPACE) in buccal samples from the German Socioeconomic Panel Study (SOEP-G[ene], n = 1058, age range 0-72, Mage = 42.65) and saliva samples from the Texas Twin Project (TTP, n = 1327, age range 8-20, Mage = 13.50). We found that lower self-control was associated with advanced biological age in older adults (β =-.34), but not young adults, adolescents or children. This association was not accounted for by statistical correction for socioeconomic contexts, BMI, or genetic correlates of low self-control. Moreover, a faster pace of aging and advanced biological age measured in buccal DNAm were associated with worse self-reported health (β =.13 to β = .19). But, effect sizes were weaker than observations in blood, thus customization of DNAm aging measures to buccal and saliva tissues may be necessary. Our findings are consistent with the hypothesis that self-control is associated with health via pathways that accelerate biological aging in older adults.
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Affiliation(s)
- Y E Willems
- Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Berlin
| | - A deSteiguer
- Population Research Center, The University of Texas, Austin
| | - P T Tanksley
- Population Research Center, The University of Texas, Austin
| | - L Vinnik
- Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Berlin
| | - D Främke
- Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Berlin
| | - A Okbay
- School of Business and Economics, Economics Fellow, Tinbergen Institute, Amsterdam
- Amsterdam Neuroscience, Complex Trait Genetics, Vrije Universiteit Amsterdam, Amsterdam
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam
| | - D Richter
- Department of Education and Psychology, Freie Universität Berlin
- SHARE Berlin, Berlin
| | - G G Wagner
- Max Planck Institute for Human Development, Berlin
- German Socio Economic Panel Study (SOEP), Berlin
| | - R Hertwig
- Max Planck Institute for Human Development, Berlin
| | - P Koellinger
- School of Business and Economics, Economics Fellow, Tinbergen Institute, Amsterdam
- Amsterdam Neuroscience, Complex Trait Genetics, Vrije Universiteit Amsterdam, Amsterdam
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam
| | | | - K P Harden
- Population Research Center, The University of Texas, Austin
| | - L Raffington
- Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Max Planck Institute for Human Development, Berlin
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Vasileva D, Greenwood CMT, Daley D. A Review of the Epigenetic Clock: Emerging Biomarkers for Asthma and Allergic Disease. Genes (Basel) 2023; 14:1724. [PMID: 37761864 PMCID: PMC10531327 DOI: 10.3390/genes14091724] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023] Open
Abstract
DNA methylation (DNAm) is a dynamic, age-dependent epigenetic modification that can be used to study interactions between genetic and environmental factors. Environmental exposures during critical periods of growth and development may alter DNAm patterns, leading to increased susceptibility to diseases such as asthma and allergies. One method to study the role of DNAm is the epigenetic clock-an algorithm that uses DNAm levels at select age-informative Cytosine-phosphate-Guanine (CpG) dinucleotides to predict epigenetic age (EA). The difference between EA and calendar age (CA) is termed epigenetic age acceleration (EAA) and reveals information about the biological capacity of an individual. Associations between EAA and disease susceptibility have been demonstrated for a variety of age-related conditions and, more recently, phenotypes such as asthma and allergic diseases, which often begin in childhood and progress throughout the lifespan. In this review, we explore different epigenetic clocks and how they have been applied, particularly as related to childhood asthma. We delve into how in utero and early life exposures (e.g., smoking, air pollution, maternal BMI) result in methylation changes. Furthermore, we explore the potential for EAA to be used as a biomarker for asthma and allergic diseases and identify areas for further study.
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Affiliation(s)
- Denitsa Vasileva
- Centre for Heart Lung Innovation, University of British Columbia and Saint Paul’s Hospital, Vancouver, BC V6Z 1Y6, Canada;
| | - Celia M. T. Greenwood
- Lady Davis Institute for Medical Research, Montreal, QC H3T 1E2, Canada;
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 0G4, Canada
- Gerald Bronfman Department of Oncology, McGill University, Montreal, QC H3A 0G4, Canada
- Department of Human Genetics, McGill University, Montreal, QC H3A 0G4, Canada
| | - Denise Daley
- Centre for Heart Lung Innovation, University of British Columbia and Saint Paul’s Hospital, Vancouver, BC V6Z 1Y6, Canada;
- Department of Medicine, Respiratory Division, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
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Chen H, Tang H, Huang J, Luo N, Zhang X, Wang X. Life's Essential 8 and Mortality in US Adults with Chronic Kidney Disease. Am J Nephrol 2023; 54:516-527. [PMID: 37591229 DOI: 10.1159/000533257] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 07/20/2023] [Indexed: 08/19/2023]
Abstract
INTRODUCTION The current prevalence of chronic kidney disease (CKD) is substantial, and CKD individuals face a heightened risk of mortality, encompassing both all-cause and cause-specific outcomes. The current study aims to investigate the potential impact of adhering to Life's Essential 8 (LE8) on reducing mortality among CKD individuals. METHODS Using the National Health and Nutrition Survey (NHANES) data from 2005 to 2018, we analyzed 22,420 US adults (≥20 years old). CKD is defined by urinary albumin-to-creatinine ratio (≥30 mg/g or 3 mg/mmol) and estimated glomerular filtration rate (<60 mL/min/1.73 m2). The components of LE8, including diet, physical activity (PA), nicotine exposure, sleep, body mass index, blood lipids, blood glucose, and blood pressure (BP), were measured and given a score of 0-100. The total LE8 score was the unweighted average of all components and was divided into low cardiovascular health (CVH) (0-49), moderate CVH (50-79), and high CVH (80-100). A Cox proportional hazards regression model was used to explore the associations of LE8 with all-cause, cardiovascular disease (CVD), and cancer mortality, which were followed prospectively by the National Center for Health Statistics until December 31, 2019. RESULTS In the overall population, individuals with moderate CVH had a 47% lower risk of CKD, while high CVH was linked to a 55% lower risk compared to low CVH. During a median follow-up of 7.58 years, CKD individuals had a 93% higher all-cause mortality rate and a 149% higher CVD mortality rate compared to those without CKD. Among the CKD individuals, every 10-point increase in the LE8 score was associated with reduced risks of 17% for all-cause mortality (especially PA, nicotine exposure, blood glucose, and BP), 18% for CVD mortality (especially PA), and 12% for cancer mortality (especially PA and sleep health). In additional and sensitivity analysis, the results remained significant after further consideration of potential confounding of renal function. Additionally, LE8 demonstrated superior risk stratification for CVD mortality among CKD patients compared with LS7. Interaction was observed between LE8 and age, education level, marital status, and drinking status. CONCLUSION The current study demonstrates that adherence to higher LE8 levels within CKD individuals is associated with a reduced risk of both all-cause and cause-specific mortality.
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Affiliation(s)
- Hongyu Chen
- Department of Cardiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Haoxian Tang
- Department of Clinical Medicine, Shantou University Medical College, Shantou, China
| | - Jingtao Huang
- Department of Clinical Medicine, Shantou University Medical College, Shantou, China
| | - Nan Luo
- Department of Clinical Medicine, Shantou University Medical College, Shantou, China
| | - Xuan Zhang
- Department of Clinical Medicine, Shantou University Medical College, Shantou, China
| | - Xin Wang
- Department of Cardiac Critical Care Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
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Velayutham N, Lee RT. A Grim link: the association between subclinical atherosclerosis and epigenetic age. Eur Heart J 2023; 44:2710-2712. [PMID: 37309608 PMCID: PMC10393075 DOI: 10.1093/eurheartj/ehad326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/14/2023] Open
Affiliation(s)
- Nivedhitha Velayutham
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
| | - Richard T Lee
- Department of Stem Cell and Regenerative Biology and the Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
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Silva N, Rajado AT, Esteves F, Brito D, Apolónio J, Roberto VP, Binnie A, Araújo I, Nóbrega C, Bragança J, Castelo-Branco P, Andrade RP, Calado S, Faleiro ML, Matos C, Marques N, Marreiros A, Nzwalo H, Pais S, Palmeirim I, Simão S, Joaquim N, Miranda R, Pêgas A, Sardo A. Measuring healthy ageing: current and future tools. Biogerontology 2023. [DOI: https:/doi.org/10.1007/s10522-023-10041-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/23/2023] [Indexed: 09/01/2023]
Abstract
AbstractHuman ageing is a complex, multifactorial process characterised by physiological damage, increased risk of age-related diseases and inevitable functional deterioration. As the population of the world grows older, placing significant strain on social and healthcare resources, there is a growing need to identify reliable and easy-to-employ markers of healthy ageing for early detection of ageing trajectories and disease risk. Such markers would allow for the targeted implementation of strategies or treatments that can lessen suffering, disability, and dependence in old age. In this review, we summarise the healthy ageing scores reported in the literature, with a focus on the past 5 years, and compare and contrast the variables employed. The use of approaches to determine biological age, molecular biomarkers, ageing trajectories, and multi-omics ageing scores are reviewed. We conclude that the ideal healthy ageing score is multisystemic and able to encompass all of the potential alterations associated with ageing. It should also be longitudinal and able to accurately predict ageing complications at an early stage in order to maximize the chances of successful early intervention.
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Joyce BT, Chen X, Gao T, Zheng Y, Nannini DR, Liu L, Henkle BE, Kalhan R, Washko G, Kunisaki KM, Thyagarajan B, Vaughan DE, Gross M, Jacobs DR, Lloyd-Jones D, Hou L. Associations between GrimAge acceleration and pulmonary function in the Coronary Artery Risk Development in Young Adults (CARDIA) study. Epigenomics 2023; 15:693-703. [PMID: 37694401 PMCID: PMC10503465 DOI: 10.2217/epi-2023-0164] [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: 05/09/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023] Open
Abstract
Background: The objective of this research was to determine whether pulmonary function is associated with epigenetic aging (GrimAge) and whether GrimAge predicts emphysema. Methods: This prospective study examined 1042 participants enrolled as part of a community-based longitudinal cohort. The cross-sectional associations between pulmonary function and GrimAge, measured at study year (Y) 20 (participant ages 40-45 years), and prospective associations with emphysema at Y25 were examined. Results: At Y20, forced expiratory volume in 1 s (FEV1) and FEV1/forced vital capacity (FVC) were negatively associated with GrimAge; for Y0-Y10 cumulative measures, only the FEV1/FVC ratio was associated with GrimAge at Y15 and Y20. Emphysema at Y25 was associated with GrimAge at Y15 and Y20. Conclusion: Pulmonary function was associated with GrimAge during early and mid-life; GrimAge partially mediated the association between pulmonary function and emphysema.
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Affiliation(s)
- Brian T Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Xuefen Chen
- Department of Epidemiology of Health Statistics, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201318, China
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Drew R Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, MO 63110, USA
| | - Benjamin E Henkle
- Minneapolis VA Health Care System, Minneapolis, MN 55417, USA
- University of Minnesota, Minneapolis, MN 55455, USA
| | - Ravi Kalhan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - George Washko
- Harvard Medical School, Harvard University, Boston, MA 02115, USA
| | - Ken M Kunisaki
- Minneapolis VA Health Care System, Minneapolis, MN 55417, USA
- University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Douglas E Vaughan
- Potocsnak Longevity Institute, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Myron Gross
- University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Potocsnak Longevity Institute, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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Kim K, Joyce BT, Nannini DR, Zheng Y, Gordon-Larsen P, Shikany JM, Lloyd-Jones DM, Hu M, Nieuwenhuijsen MJ, Vaughan DE, Zhang K, Hou L. Inequalities in urban greenness and epigenetic aging: Different associations by race and neighborhood socioeconomic status. SCIENCE ADVANCES 2023; 9:eadf8140. [PMID: 37379393 PMCID: PMC10306284 DOI: 10.1126/sciadv.adf8140] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 05/24/2023] [Indexed: 06/30/2023]
Abstract
Slower epigenetic aging is associated with exposure to green space (greenness); however, the longitudinal relationship has not been well studied, particularly in minority groups. We investigated the association between 20-year exposure to greenness [Normalized Difference Vegetation Index (NDVI)] and epigenetic aging in a large, biracial (Black/white), U.S. urban cohort. Using generalized estimating equations adjusted for individual and neighborhood socioeconomic characteristics, greater greenness was associated with slower epigenetic aging. Black participants had less surrounding greenness and an attenuated association between greenness and epigenetic aging [βNDVI5km: -0.80, 95% confidence interval (CI): -4.75, 3.13 versus βNDVI5km: -3.03, 95% CI: -5.63, -0.43 in white participants]. Participants in disadvantaged neighborhoods showed a stronger association between greenness and epigenetic aging (βNDVI5km: -3.36, 95% CI: -6.65, -0.08 versus βNDVI5km: -1.57, 95% CI: -4.12, 0.96 in less disadvantaged). In conclusion, we found a relationship between greenness and slower epigenetic aging, and different associations by social determinants of health such as race and neighborhood socioeconomic status.
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Affiliation(s)
- Kyeezu Kim
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brian T. Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Drew R. Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James M. Shikany
- Division of Preventive Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ming Hu
- School of Architecture, University of Notre Dame, Notre Dame, IN, USA
| | - Mark J. Nieuwenhuijsen
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Douglas E. Vaughan
- Department of Medicine, Northwestern Feinberg School of Medicine, Chicago, IL, USA
- Potocsnak Longevity Institute, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kai Zhang
- Department of Environmental Health Sciences, University of Albany, State University of New York, Rensselaer, NY, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Potocsnak Longevity Institute, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Sánchez-Cabo F, Fuster V, Silla-Castro JC, González G, Lorenzo-Vivas E, Alvarez R, Callejas S, Benguría A, Gil E, Núñez E, Oliva B, Mendiguren JM, Cortes-Canteli M, Bueno H, Andrés V, Ordovás JM, Fernández-Friera L, Quesada AJ, Garcia JM, Rossello X, Vázquez J, Dopazo A, Fernández-Ortiz A, Ibáñez B, Fuster JJ, Lara-Pezzi E. Subclinical atherosclerosis and accelerated epigenetic age mediated by inflammation: a multi-omics study. Eur Heart J 2023:ehad361. [PMID: 37339167 PMCID: PMC10393076 DOI: 10.1093/eurheartj/ehad361] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 04/28/2023] [Accepted: 05/23/2023] [Indexed: 06/22/2023] Open
Abstract
AIMS Epigenetic age is emerging as a personalized and accurate predictor of biological age. The aim of this article is to assess the association of subclinical atherosclerosis with accelerated epigenetic age and to investigate the underlying mechanisms mediating this association. METHODS AND RESULTS Whole blood methylomics, transcriptomics, and plasma proteomics were obtained for 391 participants of the Progression of Early Subclinical Atherosclerosis study. Epigenetic age was calculated from methylomics data for each participant. Its divergence from chronological age is termed epigenetic age acceleration. Subclinical atherosclerosis burden was estimated by multi-territory 2D/3D vascular ultrasound and by coronary artery calcification. In healthy individuals, the presence, extension, and progression of subclinical atherosclerosis were associated with a significant acceleration of the Grim epigenetic age, a predictor of health and lifespan, regardless of traditional cardiovascular risk factors. Individuals with an accelerated Grim epigenetic age were characterized by an increased systemic inflammation and associated with a score of low-grade, chronic inflammation. Mediation analysis using transcriptomics and proteomics data revealed key pro-inflammatory pathways (IL6, Inflammasome, and IL10) and genes (IL1B, OSM, TLR5, and CD14) mediating the association between subclinical atherosclerosis and epigenetic age acceleration. CONCLUSION The presence, extension, and progression of subclinical atherosclerosis in middle-aged asymptomatic individuals are associated with an acceleration in the Grim epigenetic age. Mediation analysis using transcriptomics and proteomics data suggests a key role of systemic inflammation in this association, reinforcing the relevance of interventions on inflammation to prevent cardiovascular disease.
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Affiliation(s)
- Fátima Sánchez-Cabo
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Valentín Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- The Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, One Gustave L. Levy. Place, New York, NY 10029, USA
| | - Juan Carlos Silla-Castro
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Gema González
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Erika Lorenzo-Vivas
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Rebeca Alvarez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Sergio Callejas
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Alberto Benguría
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Eduardo Gil
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Estefanía Núñez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Belén Oliva
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | | | - Marta Cortes-Canteli
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Cardiology, IIS-Fundación Jiménez Díaz Hospital, Av. de los Reyes Católicos, 2, 28040 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Héctor Bueno
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Cardiology Department, Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Avda. de Córdoba, s/n 28041 Madrid, Spain
| | - Vicente Andrés
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Jose María Ordovás
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Precision Nutrition and Obesity Research Program, IMDEA Food Institute, CEI UAM + CSIC, Carr. de Canto Blanco, nº 8 E, 28049 Madrid, Spain
- U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA 02111, USA
| | - Leticia Fernández-Friera
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
- HM Hospitales-Centro Integral de Enfermedades Cardiovasculares HM CIEC, Av. de Montepríncipe, 25, 28660 Boadilla del Monte, Madrid, Spain
| | - Antonio J Quesada
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Jose Manuel Garcia
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Hospital Universitario Central de Oviedo, Av. Roma, s/n, 33011 Asturias, Spain
| | - Xavier Rossello
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
- Hospital Universitari Son Espases-IDISBA, Carretera de Valldemossa, 79, 07120 Palma de Mallorca, Mallorca, Islas Baleares (Balearic Islands), Spain
| | - Jesús Vázquez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Ana Dopazo
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Antonio Fernández-Ortiz
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
- Hospital Clínico San Carlos, Calle del Prof Martín Lagos, S/N, 28040 Madrid, Spain
| | - Borja Ibáñez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
- Cardiology, IIS-Fundación Jiménez Díaz Hospital, Av. de los Reyes Católicos, 2, 28040 Madrid, Spain
| | - Jose Javier Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Enrique Lara-Pezzi
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Melchor Fernández Almagro, 3, 28029 Madrid, Spain
- Centro de Investigacion Biomedica en Red en Enfermedades Cardiovasculares (CIBERCV), Spain
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Nannini DR, Zheng Y, Joyce BT, Kim K, Gao T, Wang J, Jacobs DR, Schreiner PJ, Yaffe K, Greenland P, Lloyd-Jones DM, Hou L. Genome-wide DNA methylation association study of recent and cumulative marijuana use in middle aged adults. Mol Psychiatry 2023; 28:2572-2582. [PMID: 37258616 PMCID: PMC10611566 DOI: 10.1038/s41380-023-02106-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/24/2023] [Accepted: 05/03/2023] [Indexed: 06/02/2023]
Abstract
Marijuana is a widely used psychoactive substance in the US and medical and recreational legalization has risen over the past decade. Despite the growing number of individuals using marijuana, studies investigating the association between epigenetic factors and recent and cumulative marijuana use remain limited. We therefore investigated the association between recent and cumulative marijuana use and DNA methylation levels. Participants from the Coronary Artery Risk Development in Young Adults Study with whole blood collected at examination years (Y) 15 and Y20 were randomly selected to undergo DNA methylation profiling at both timepoints using the Illumina MethylationEPIC BeadChip. Recent use of marijuana was queried at each examination and used to estimate cumulative marijuana use from Y0 to Y15 and Y20. At Y15 (n = 1023), we observed 22 and 31 methylation markers associated (FDR P ≤ 0.05) with recent and cumulative marijuana use and 132 and 16 methylation markers at Y20 (n = 883), respectively. We replicated 8 previously reported methylation markers associated with marijuana use. We further identified 640 cis-meQTLs and 198 DMRs associated with recent and cumulative use at Y15 and Y20. Differentially methylated genes were statistically overrepresented in pathways relating to cellular proliferation, hormone signaling, and infections as well as schizophrenia, bipolar disorder, and substance-related disorders. We identified numerous methylation markers, pathways, and diseases associated with recent and cumulative marijuana use in middle-aged adults, providing additional insight into the association between marijuana use and the epigenome. These results provide novel insights into the role marijuana has on the epigenome and related health conditions.
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Affiliation(s)
- Drew R Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brian T Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kyeezu Kim
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Kristine Yaffe
- University of California at San Francisco School of Medicine, San Francisco, CA, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Kresovich JK, Sandler DP, Taylor JA. Methylation-Based Biological Age and Hypertension Prevalence and Incidence. Hypertension 2023; 80:1213-1222. [PMID: 36974720 PMCID: PMC10192055 DOI: 10.1161/hypertensionaha.122.20796] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/08/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Hypertension is common in older individuals and is a major risk factor for cardiovascular disease. Blood DNA methylation profiles have been used to derive metrics of biological age that capture age-related physiological change, disease risk, and mortality. The relationships between hypertension and DNA methylation-based biological age metrics have yet to be carefully described. METHODS Among 4419 women enrolled in the prospective Sister Study cohort, DNA methylation data generated from whole blood samples collected at baseline were used to calculate 3 biological age metrics (PhenoAgeAccel, GrimAgeAccel, DunedinPACE). Women were classified as hypertensive at baseline if they had high blood pressure (systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg) or reported current use of antihypertensive medication. New incident cases of hypertension during follow-up were identified via self-report on annual health questionnaires. RESULTS All 3 DNA methylation metrics of biological age were positively associated with prevalent hypertension at baseline (per 1-SD increase; PhenoAgeAccel, adjusted odds ratio, 1.16 [95% CI, 1.05-1.28]; GrimAgeAccel, adjusted odds ratio, 1.28 [95% CI, 1.14-1.45]; DunedinPACE, adjusted odds ratio, 1.16 [95% CI, 1.03-1.30]). Among 2610 women who were normotensive at baseline, women with higher biological age were more likely to be diagnosed with incident hypertension (per 1-SD increase; PhenoAgeAccel, adjusted hazard ratio, 1.09 [95% CI, 0.97-1.23]; GrimAgeAccel, adjusted hazard ratio, 1.16 [95% CI, 0.99-1.36]; DunedinPACE, adjusted hazard ratio, 1.16 [95% CI, 1.01-1.33]). CONCLUSIONS Methylation-based biological age metrics increase before a hypertension diagnosis and appear to remain elevated in the years after clinical diagnosis and treatment.
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Affiliation(s)
- Jacob K Kresovich
- Departments of Cancer Epidemiology & Breast Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (J.K.K.)
| | - Dale P Sandler
- Epidemiology Branch (D.P.S., J.A.T.), National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
| | - Jack A Taylor
- Epigenetic and Stem Cell Biology Laboratory (J.A.T.), National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
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Pan Y, Sun X, Huang Z, Zhang R, Li C, Anderson AH, Lash JP, Kelly TN. Effects of epigenetic age acceleration on kidney function: a Mendelian randomization study. Clin Epigenetics 2023; 15:61. [PMID: 37031184 PMCID: PMC10082992 DOI: 10.1186/s13148-023-01476-y] [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: 06/24/2022] [Accepted: 03/29/2023] [Indexed: 04/10/2023] Open
Abstract
BACKGROUND Previous studies have reported cross-sectional associations between measures of epigenetic age acceleration (EAA) and kidney function phenotypes. However, the temporal and potentially causal relationships between these variables remain unclear. We conducted a bidirectional two-sample Mendelian randomization study of EAA and kidney function. Genetic instruments for EAA and estimate glomerular filtration rate (eGFR) were identified from previous genome-wide association study (GWAS) meta-analyses of European-ancestry participants. Causal effects of EAA on kidney function and kidney function on EAA were assessed through summary-based Mendelian randomization utilizing data from the CKDGen GWAS meta-analysis of log-transformed estimated glomerular filtration rate (log-eGFR; n = 5,67,460) and GWAS meta-analyses of EAA (n = 34,710). An allele score-based Mendelian randomization leveraging individual-level data from UK Biobank participants (n = 4,33,462) further examined the effects of EAA on kidney function. RESULTS Using summary-based Mendelian randomization, we found that each 5 year increase in intrinsic EAA (IEAA) and GrimAge acceleration (GrimAA) was associated with - 0.01 and - 0.02 unit decreases in log-eGFR, respectively (P = 0.02 and P = 0.09, respectively), findings which were strongly supported by allele-based Mendelian randomization study (both P < 0.001). Summary-based Mendelian randomization identified 24% increased odds of CKD with each 5-unit increase in IEAA (P = 0.05), with consistent findings observed in allele score-based analysis (P = 0.07). Reverse-direction Mendelian randomization identified potentially causal effects of decreased kidney function on HannumAge acceleration (HannumAA), GrimAA, and PhenoAge acceleration (PhenoAA), conferring 3.14, 1.99, and 2.88 year decreases in HanumAA, GrimAA, and PhenoAA, respectively (P = 0.003, 0.05, and 0.002, respectively) with each 1-unit increase in log-eGFR. CONCLUSION This study supports bidirectional causal relationships between EAA and kidney function, pointing to potential prevention and therapeutic strategies.
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Affiliation(s)
- Yang Pan
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, 820 S Wood Street, Chicago, IL, 60607, USA
| | - Xiao Sun
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, 820 S Wood Street, Chicago, IL, 60607, USA
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Zhijie Huang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Ruiyuan Zhang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Changwei Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Amanda H Anderson
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - James P Lash
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, 820 S Wood Street, Chicago, IL, 60607, USA
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, 820 S Wood Street, Chicago, IL, 60607, USA.
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
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40
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Sable C, Li JS, Tristani‐Firouzi M, Fagerlin A, Silver RM, Yandel M, Yost HJ, Beaton A, Dale J, Engel ME, Watkins D, Spurney C, Skinner AC, Armstrong SC, Shah SH, Allen N, Davis M, Hou L, Van Horn L, Labarthe D, Lloyd‐Jones D, Marino B. American Heart Association's Children's Strategically Focused Research Network Experience. J Am Heart Assoc 2023; 12:e028356. [PMID: 36974754 PMCID: PMC10122897 DOI: 10.1161/jaha.122.028356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
The American Heart Association's Strategically Focused Children's Research Network started in July 2017 with 4 unique programs at Children's National Hospital in Washington, DC; Duke University in Durham, North Carolina; University of Utah in Salt Lake City, Utah; and Lurie Children's Hospital/Northwestern University in Chicago, Illinois. The overarching goal of the Children's National center was to develop evidence-based strategies to strengthen the health system response to rheumatic heart disease through synergistic basic, clinical, and population science research. The overall goals of the Duke center were to determine risk factors for obesity and response to treatment including those that might work on a larger scale in communities across the country. The integrating theme of the Utah center focused on leveraging big data-science approaches to improve the quality of care and outcomes for children with congenital heart defects, within the context of the patient and their family. The overarching hypothesis of the Northwestern center is that the early course of change in cardiovascular health, from birth onward, reflects factors that result in either subsequent development of cardiovascular risk or preservation of lifetime favorable cardiovascular health. All 4 centers exceeded the original goals of research productivity, fellow training, and collaboration. This article describes details of these accomplishments and highlights challenges, especially around the COVID-19 pandemic.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Norrina Allen
- Northwestern University Feinberg School of MedicineChicagoILUSA
| | - Matthew Davis
- Northwestern University Feinberg School of MedicineChicagoILUSA
| | - Lifang Hou
- Northwestern University Feinberg School of MedicineChicagoILUSA
| | - Linda Van Horn
- Northwestern University Feinberg School of MedicineChicagoILUSA
| | - Darwin Labarthe
- Northwestern University Feinberg School of MedicineChicagoILUSA
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Stephan Y, Sutin AR, Luchetti M, Aschwanden D, Terracciano A. The Mediating Role of Biomarkers in the Association Between Subjective Aging and Episodic Memory. J Gerontol B Psychol Sci Soc Sci 2023; 78:242-252. [PMID: 36179098 PMCID: PMC9938926 DOI: 10.1093/geronb/gbac155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Subjective aging, indexed by subjective age and self-perceptions of aging (SPA), is consistently related to cognition in adulthood. The present study examined whether blood biomarkers mediate the longitudinal associations between subjective aging indices and memory. METHODS Data of 5,369 individuals aged 50-94 years (mean = 66.89 years, SD = 9.22; 60% women) were drawn from the Health and Retirement Study (HRS). Subjective age, SPA, and demographic factors were assessed in 2012/2014. Interleukin-6, C-reactive protein, albumin, cystatin C, N-terminal pro B-type natriuretic peptide (NT-proBNP), fasting glucose, Vitamin D, hemoglobin, red cells distribution width, and epigenetic aging were assessed as part of the HRS Venuous Blood Study in 2016. Memory was measured in 2018. The mediators (except for epigenetic aging, which was assessed in a subsample) were tested simultaneously in models that accounted for demographic covariates. RESULTS An older subjective age was related to worse memory partially through higher fasting glucose, higher cystatin C, higher NT-proBNP, and accelerated epigenetic aging. Negative SPA was related to worse memory through lower Vitamin D3, higher fasting glucose, higher cystatin C, higher NT-proBNP, and accelerated epigenetic aging. The biomarkers explained between 2% and 10% of subjective age and between 1% and 8% of SPA associations with memory. Additional analysis revealed that biomarkers continued to be significant mediators when physical inactivity and depressive symptoms were included as additional mediators. CONCLUSION The present study adds to existing research on the association between subjective aging and memory by providing new evidence on the biological mediators of this association.
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Affiliation(s)
| | - Angelina R Sutin
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, Florida, USA
| | - Martina Luchetti
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, Florida, USA
| | - Damaris Aschwanden
- Department of Geriatrics, College of Medicine, Florida State University, Tallahassee, Florida, USA
| | - Antonio Terracciano
- Department of Geriatrics, College of Medicine, Florida State University, Tallahassee, Florida, USA
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42
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Tanaka T, Talegawkar SA, Jin Y, Candia J, Fantoni G, Bandinelli S, Ferrucci L. Proteomic Mediators of Overall Cardiovascular Health on All-Cause Mortality. Nutrients 2023; 15:781. [PMID: 36771486 PMCID: PMC9921082 DOI: 10.3390/nu15030781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/25/2023] [Accepted: 01/29/2023] [Indexed: 02/05/2023] Open
Abstract
Measures of cardiovascular health (CVH) assessed by a combination of behavioral and biological factors has shown protective associations with all-cause mortality. The mechanisms underlying these associations have not been fully elucidated. In this study, we characterized the plasma proteomics profile of CVH and tested whether specific proteins mediated the associations between CVH and all-cause mortality in participants of the InCHIANTI study. Of the 1301 proteins tested, 92 proteins were associated with CVH (22 positively, 70 negatively). Proteins most strongly associated with CVH included leptin (LEP), fatty acid binding protein 3 (FABP3), Angiopoietin-2 (ANGPT2), and growth-differential factor 15 (GDF15). Of the 92 CVH-associated proteins, 33 proteins significantly mediated the associations between CVH and all-cause mortality, with percent mediation ranging from 5 to 30%. The most significant mediating proteins were GDF15 and insulin-like growth factor 2 (IGFBP2). Proteins associated with better CVH were enriched for proteins that reflect the suppression of the complement coagulation and GH/IGF pathways.
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Affiliation(s)
- Toshiko Tanaka
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Sameera A. Talegawkar
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Yichen Jin
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
| | - Julián Candia
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Giovanna Fantoni
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | | | - Luigi Ferrucci
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA
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Banszerus VL, König M, Landmesser U, Vetter VM, Demuth I. Epigenetic aging in patients diagnosed with coronary artery disease: results of the LipidCardio study. Clin Epigenetics 2023; 15:16. [PMID: 36721243 PMCID: PMC9887837 DOI: 10.1186/s13148-023-01434-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/23/2023] [Indexed: 02/01/2023] Open
Abstract
INTRODUCTION People age biologically at different rates. Epigenetic clock-derived DNA methylation age acceleration (DNAmAA) is among the most promising markers proposed to assess the interindividual differences in biological age. Further research is needed to evaluate the characteristics of the different epigenetic clock biomarkers available with respect to the health domains they reflect best. METHODS In this study, we have analyzed 779 participants of the LipidCardio study (mean chronological age 69.9 ± 11.0 years, 30.6% women) who underwent diagnostic angiography at the Charité University Hospital in Berlin, Germany. DNA methylation age (DNAm age) was measured by methylation-sensitive single nucleotide primer extension (MS-SNuPE) and calculated with the 7-CpG clock. We compared the biological age as assessed as DNAmAA of participants with an angiographically confirmed coronary artery disease (CAD, n = 554) with participants with lumen reduction of 50% or less (n = 90) and patients with a normal angiogram (n = 135). RESULTS Participants with a confirmed CAD had on average a 2.5-year higher DNAmAA than patients with a normal angiogram. This association did not persist after adjustment for sex in a logistic regression analysis. High-density lipoprotein, low-density lipoprotein, triglycerides, lipoprotein (a), estimated glomerular filtration rate, physical activity, BMI, alcohol consumption, and smoking were not associated with DNAmAA. CONCLUSION The association between higher DNAmAA and angiographically confirmed CAD seems to be mainly driven by sex.
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Affiliation(s)
- Verena Laura Banszerus
- grid.6363.00000 0001 2218 4662Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Biology of Aging Working Group, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Maximilian König
- grid.6363.00000 0001 2218 4662Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Biology of Aging Working Group, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Ulf Landmesser
- grid.6363.00000 0001 2218 4662Department of Cardiology, Charité Universitätsmedizin Berlin, Campus Benjamin Franklin (CBF), Berlin, Germany ,grid.484013.a0000 0004 6879 971XBerlin Institute of Health (BIH), Deutsches Zentrum Für Herzkreislaufforschung (DZHK), Partner Site Berlin, Berlin, Germany
| | - Valentin Max Vetter
- grid.6363.00000 0001 2218 4662Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Biology of Aging Working Group, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Biology of Aging Working Group, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. .,BCRT - Berlin Institute of Health Center for Regenerative Therapies, Charité - Universitätsmedizin Berlin, Berlin, Germany.
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Nannini DR, Joyce BT, Zheng Y, Gao T, Wang J, Liu L, Jacobs DR, Schreiner PJ, Liu C, Dai Q, Horvath S, Lu AT, Yaffe K, Greenland P, Lloyd-Jones DM, Hou L. Alcohol consumption and epigenetic age acceleration in young adults. Aging (Albany NY) 2023; 15:371-395. [PMID: 36622282 PMCID: PMC9925681 DOI: 10.18632/aging.204467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 12/16/2022] [Indexed: 01/07/2023]
Abstract
Alcohol is a widely consumed substance in the United States, however its effect on aging remains understudied. In this study of young adults, we examined whether cumulative alcohol consumption, i.e., alcohol years of beer, liquor, wine, and total alcohol, and recent binge drinking, were associated with four measures of age-related epigenetic changes via blood DNA methylation. A random subset of study participants in the Coronary Artery Risk Development in Young Adults Study underwent DNA methylation profiling using the Illumina MethylationEPIC Beadchip. Participants with alcohol consumption and methylation data at examination years 15 (n = 1,030) and 20 (n = 945) were included. Liquor and total alcohol consumption were associated with a 0.31-year (P = 0.002) and a 0.12-year (P = 0.013) greater GrimAge acceleration (GAA) per additional five alcohol years, while beer and wine consumption observed marginal (P = 0.075) and no associations (P = 0.359) with GAA, respectively. Any recent binge drinking and the number of days of binge drinking were associated with a 1.38-year (P < 0.001) and a 0.15-year (P < 0.001) higher GAA, respectively. We observed statistical interactions between cumulative beer (P < 0.001) and total alcohol (P = 0.004) consumption with chronological age, with younger participants exhibiting a higher average in GAA compared to older participants. No associations were observed with the other measures of epigenetic aging. These results suggest cumulative liquor and total alcohol consumption and recent binge drinking may alter age-related epigenetic changes as captured by GAA. With the increasing aging population and widespread consumption of alcohol, these findings may have potential implications for lifestyle modification to promote healthy aging.
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Affiliation(s)
- Drew R. Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Brian T. Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, MO 63110, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Qi Dai
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA
| | - Ake T. Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Kristine Yaffe
- University of California at San Francisco School of Medicine, San Francisco, CA 94143, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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Dos Santos Oliveira NC, Katrinli S, de Assis SG, Smith AK, Serpeloni F. Community and domestic violence are associated with DNA methylation GrimAge acceleration and heart rate variability in adolescents. Eur J Psychotraumatol 2023; 14:2202054. [PMID: 37144662 PMCID: PMC10165931 DOI: 10.1080/20008066.2023.2202054] [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] [Indexed: 05/06/2023] Open
Abstract
Background: Cumulative exposure to violence can change the regulation of epigenetic and physiological markers. Although violence has been associated with accelerated cellular aging, little is known about associations with cardiac autonomic activity.Objective: The current study aimed to investigate the relationship of exposure to community and domestic violence (CDV) with vagal activity and epigenetic aging acceleration.Methods: A total of 86 adolescents (57% female) were evaluated and interviewed at two time-points in São Gonçalo (2014-2019), a Brazilian city with high levels of violence. Exposure to CDV was assessed in both time-points. GrimAge acceleration was calculated from saliva DNA methylation using Infinium HumanMethylation450K (Illumina) collected in the first assessment. Heart rate variability (HRV) was collected during two stress tasks at the second assessment.Results: The exposure to violence witnessed or directly experienced at home and in the community increased significantly (t = 4.87, p < .01) across two-time points, and males had reported higher violence exposure (t = 2.06, p = .043). Violence at 1st assessment was significantly associated with GrimAge acceleration (B = .039, p value = .043). Violence at both assessments were associated with HRV measured during the narration of the worst trauma (traumaHRV) (B = .009, p value = .039, and B = .007, p value = .024, 1st and 2nd assessment respectively). GrimAge acceleration was significantly associated with traumaHRV (B = .043, p value = .049), and HRV measured during a 3D roller coaster video (B = .061, p value = .024).Conclusions: We found relevant evidence that experiencing violence during adolescence is associated with epigenetic aging and stress-related vagal activity. Understanding these factors during this period could contribute to the development of early interventions for health promotion.HIGHLIGHTS Higher exposure to Community and domestic violence is associated with increased GrimAge acceleration.Higher GrimAge acceleration is associated with increased stress-related vagal activity.Exposure to community and domestic violence increased significantly over time.
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Affiliation(s)
- Nayara Cristina Dos Santos Oliveira
- National Institute of Woman, Child, and Adolescence Health Fernandes Figueira, Rio de Janeiro, Brazil
- Department of Violence and Health Studies Jorge Careli, National School of Public Health, Fiocruz, Rio de Janeiro, Brazil
| | - Seyma Katrinli
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
| | - Simone Gonçalves de Assis
- National Institute of Woman, Child, and Adolescence Health Fernandes Figueira, Rio de Janeiro, Brazil
- Department of Violence and Health Studies Jorge Careli, National School of Public Health, Fiocruz, Rio de Janeiro, Brazil
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Fernanda Serpeloni
- Department of Violence and Health Studies Jorge Careli, National School of Public Health, Fiocruz, Rio de Janeiro, Brazil
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Abstract
Age is the key risk factor for diseases and disabilities of the elderly. Efforts to tackle age-related diseases and increase healthspan have suggested targeting the ageing process itself to 'rejuvenate' physiological functioning. However, achieving this aim requires measures of biological age and rates of ageing at the molecular level. Spurred by recent advances in high-throughput omics technologies, a new generation of tools to measure biological ageing now enables the quantitative characterization of ageing at molecular resolution. Epigenomic, transcriptomic, proteomic and metabolomic data can be harnessed with machine learning to build 'ageing clocks' with demonstrated capacity to identify new biomarkers of biological ageing.
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Affiliation(s)
- Jarod Rutledge
- Department of Genetics, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Paul F. Glenn Center for the Biology of Ageing, Stanford University School of Medicine, Stanford, CA, USA
| | - Hamilton Oh
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Paul F. Glenn Center for the Biology of Ageing, Stanford University School of Medicine, Stanford, CA, USA
- Graduate Program in Stem Cell and Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
- Paul F. Glenn Center for the Biology of Ageing, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
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Fraszczyk E, Thio CHL, Wackers P, Dollé MET, Bloks VW, Hodemaekers H, Picavet HS, Stynenbosch M, Verschuren WMM, Snieder H, Spijkerman AMW, Luijten M. DNA methylation trajectories and accelerated epigenetic aging in incident type 2 diabetes. GeroScience 2022; 44:2671-2684. [PMID: 35947335 PMCID: PMC9768051 DOI: 10.1007/s11357-022-00626-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 07/19/2022] [Indexed: 01/07/2023] Open
Abstract
DNA methylation (DNAm) patterns across the genome changes during aging and development of complex diseases including type 2 diabetes (T2D). Our study aimed to estimate DNAm trajectories of CpG sites associated with T2D, epigenetic age (DNAmAge), and age acceleration based on four epigenetic clocks (GrimAge, Hannum, Horvath, phenoAge) in the period 10 years prior to and up to T2D onset. In this nested case-control study within Doetinchem Cohort Study, we included 132 incident T2D cases and 132 age- and sex-matched controls. DNAm was measured in blood using the Illumina Infinium Methylation EPIC array. From 107 CpG sites associated with T2D, 10 CpG sites (9%) showed different slopes of DNAm trajectories over time (p < 0.05) and an additional 8 CpG sites (8%) showed significant differences in DNAm levels (at least 1%, p-value per time point < 0.05) at all three time points with nearly parallel trajectories between incident T2D cases and controls. In controls, age acceleration levels were negative (slower epigenetic aging), while in incident T2D cases, levels were positive, suggesting accelerated aging in the case group. We showed that DNAm levels at specific CpG sites, up to 10 years before T2D onset, are different between incident T2D cases and healthy controls and distinct patterns of clinical traits over time may have an impact on those DNAm profiles. Up to 10 years before T2D diagnosis, cases manifested accelerated epigenetic aging. Markers of biological aging including age acceleration estimates based on Horvath need further investigation to assess their utility for predicting age-related diseases including T2D.
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Affiliation(s)
- Eliza Fraszczyk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Chris H L Thio
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Paul Wackers
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Vincent W Bloks
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Hennie Hodemaekers
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - H Susan Picavet
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Marjolein Stynenbosch
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Annemieke M W Spijkerman
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Mirjam Luijten
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
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Kankaanpää A, Tolvanen A, Heikkinen A, Kaprio J, Ollikainen M, Sillanpää E. The role of adolescent lifestyle habits in biological aging: A prospective twin study. eLife 2022; 11:80729. [PMID: 36345722 PMCID: PMC9642990 DOI: 10.7554/elife.80729] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 10/01/2022] [Indexed: 11/09/2022] Open
Abstract
Background: Adolescence is a stage of fast growth and development. Exposures during puberty can have long-term effects on health in later life. This study aims to investigate the role of adolescent lifestyle in biological aging. Methods: The study participants originated from the longitudinal FinnTwin12 study (n = 5114). Adolescent lifestyle-related factors, including body mass index (BMI), leisure-time physical activity, smoking, and alcohol use, were based on self-reports and measured at ages 12, 14, and 17 years. For a subsample, blood-based DNA methylation (DNAm) was used to assess biological aging with six epigenetic aging measures in young adulthood (21–25 years, n = 824). A latent class analysis was conducted to identify patterns of lifestyle behaviors in adolescence, and differences between the subgroups in later biological aging were studied. Genetic and environmental influences on biological aging shared with lifestyle behavior patterns were estimated using quantitative genetic modeling. Results: We identified five subgroups of participants with different adolescent lifestyle behavior patterns. When DNAm GrimAge, DunedinPoAm, and DunedinPACE estimators were used, the class with the unhealthiest lifestyle and the class of participants with high BMI were biologically older than the classes with healthier lifestyle habits. The differences in lifestyle-related factors were maintained into young adulthood. Most of the variation in biological aging shared with adolescent lifestyle was explained by common genetic factors. Conclusions: These findings suggest that an unhealthy lifestyle during pubertal years is associated with accelerated biological aging in young adulthood. Genetic pleiotropy may largely explain the observed associations. Funding: This work was supported by the Academy of Finland (213506, 265240, 263278, 312073 to J.K., 297908 to M.O. and 341750, 346509 to E.S.), EC FP5 GenomEUtwin (J.K.), National Institutes of Health/National Heart, Lung, and Blood Institute (grant HL104125), EC MC ITN Project EPITRAIN (J.K. and M.O.), the University of Helsinki Research Funds (M.O.), Sigrid Juselius Foundation (J.K. and M.O.), Yrjö Jahnsson Foundation (6868), Juho Vainio Foundation (E.S.) and Päivikki and Sakari Sohlberg foundation (E.S.). For most animals, events that occur early in life can have a lasting impact on individuals’ health. In humans, adolescence is a particularly vulnerable time when rapid growth and development collide with growing independence and experimentation. An unhealthy lifestyle during this period of rapid cell growth can contribute to later health problems like heart disease, lung disease, and premature death. This is due partly to accelerated biological aging, where the body deteriorates faster than what would be expected for an individual’s chronological age. One way to track the effects of lifestyle on biological aging is by measuring epigenetic changes. Epigenetic changes consist on adding or removing chemical ‘tags’ on genes. These tags can switch the genes on or off without changing their sequences. Scientists can measure certain epigenetic changes by measuring the levels of methylated DNA – DNA with a chemical ‘tag’ known as a methyl group – in blood samples. Several algorithms – known as ‘epigenetic clocks’ – are available that estimate how fast an individual is aging biologically based on DNA methylation. Kankaanpää et al. show that unhealthy lifestyles during adolescence may lead to accelerated aging in early adulthood. For their analysis, Kankaanpää et al. used data on the levels of DNA methylation in blood samples from 824 twins between 21 and 25 years old. The twins were participants in the FinnTwin12 study and had completed a survey about their lifestyles at ages 12, 14, and 17. Kankaanpää et al. classified individuals into five groups depending on their lifestyles. The first three groups, which included most of the twins, contained individuals that led relatively healthy lives. The fourth group contained individuals with a higher body mass index based on their height and weight. Finally, the last group included individuals with unhealthy lifestyles who binge drank, smoked and did not exercise. After estimating the biological ages for all of the participants, Kankaanpää et al. found that both the individuals with higher body mass indices and those in the group with unhealthy lifestyles aged faster than those who reported healthier lifestyles. However, the results varied depending on which epigenetic clock Kankaanpää et al. used to measure biological aging: clocks that had been developed earlier showed fewer differences in aging between groups; while newer clocks consistently found that individuals in the higher body mass index and unhealthy groups were older. Kankaanpää et al. also showed that shared genetic factors explained both unhealthy lifestyles and accelerated biological aging. The experiments performed by Kankaanpää et al. provide new insights into the vital role of an individual’s genetics in unhealthy lifestyles and cellular aging. These insights might help scientists identify at risk individuals early in life and try to prevent accelerated aging.
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Affiliation(s)
- Anna Kankaanpää
- Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä
| | - Asko Tolvanen
- Methodology Center for Human Sciences, University of Jyväskylä
| | - Aino Heikkinen
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki
| | - Elina Sillanpää
- Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä
- Institute for Molecular Medicine Finland (FIMM), HiLife, University of Helsinki
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Nannini DR, Zheng Y, Joyce BT, Gao T, Liu L, Jacobs DR, Schreiner P, Liu C, Horvath S, Lu AT, Yaffe K, Sidney S, Greenland P, Lloyd-Jones DM, Hou L. Marijuana use and DNA methylation-based biological age in young adults. Clin Epigenetics 2022; 14:134. [PMID: 36289503 PMCID: PMC9609285 DOI: 10.1186/s13148-022-01359-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 10/06/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Marijuana is the third most commonly used drug in the USA and efforts to legalize it for medical and recreational use are growing. Despite the increase in use, marijuana's effect on aging remains understudied and understanding the effects of marijuana on molecular aging may provide novel insights into the role of marijuana in the aging process. We therefore sought to investigate the association between cumulative and recent use of marijuana with epigenetic age acceleration (EAA) as estimated from blood DNA methylation. RESULTS A random subset of participants from The Coronary Artery Risk Development in Young Adults (CARDIA) Study with available whole blood at examination years (Y) 15 and Y20 underwent epigenomic profiling. Four EAA estimates (intrinsic epigenetic age acceleration, extrinsic epigenetic age acceleration, PhenoAge acceleration, and GrimAge acceleration) were calculated from DNA methylation levels measured at Y15 and Y20. Ever use and cumulative marijuana-years were calculated from the baseline visit to Y15 and Y20, and recent marijuana use (both any and number of days of use in the last 30 days) were calculated at Y15 and Y20. Ever use of marijuana and each additional marijuana-year were associated with a 6-month (P < 0.001) and a 2.5-month (P < 0.001) higher average in GrimAge acceleration (GAA) using generalized estimating equations, respectively. Recent use and each additional day of recent use were associated with a 20-month (P < 0.001) and a 1-month (P < 0.001) higher GAA, respectively. A statistical interaction between marijuana-years and alcohol consumption on GAA was observed (P = 0.011), with nondrinkers exhibiting a higher GAA (β = 0.21 [95% CI 0.05, 0.36], P = 0.008) compared to heavy drinkers (β = 0.05 [95% CI - 0.09, 0.18], P = 0.500) per each additional marijuana-year. No associations were observed for the remaining EAA estimates. CONCLUSIONS These findings suggest cumulative and recent marijuana use are associated with age-related epigenetic changes that are related to lifespan. These observed associations may be modified by alcohol consumption. Given the increase in use and legalization, these findings provide novel insight on the effect of marijuana use on the aging process as captured through blood DNA methylation.
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Affiliation(s)
- Drew R Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA.
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
| | - Brian T Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pamela Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Kristine Yaffe
- University of California at San Francisco School of Medicine, San Francisco, CA, USA
| | - Stephen Sidney
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
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Rampersaud R, Protsenko E, Yang R, Reus V, Hammamieh R, Wu GWY, Epel E, Jett M, Gautam A, Mellon SH, Wolkowitz OM. Dimensions of childhood adversity differentially affect biological aging in major depression. Transl Psychiatry 2022; 12:431. [PMID: 36195591 PMCID: PMC9532396 DOI: 10.1038/s41398-022-02198-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 09/11/2022] [Accepted: 09/21/2022] [Indexed: 11/08/2022] Open
Abstract
Adverse childhood experiences have been consistently linked with physical and mental health disorders in adulthood that may be mediated, in part, via the effects of such exposures on biological aging. Using recently developed "epigenetic clocks", which provide an estimate of biological age, several studies have demonstrated a link between the cumulative exposure to childhood adversities and accelerated epigenetic aging. However, not all childhood adversities are equivalent and less is known about how distinct dimensions of childhood adversity relate to epigenetic aging metrics. Using two measures of childhood adversity exposure, we assess how the dimensions of Maltreatment and Household Dysfunction relate to epigenetic aging using two "second-generation" clocks, GrimAge and PhenoAge, in a cohort of unmedicated somatically healthy adults with moderate to severe major depression (n = 82). Our results demonstrate that the dimension of Maltreatment is associated with epigenetic age acceleration (EAA) using the PhenoAge but not the GrimAge clock. This association was observed using both the Childhood Trauma questionnaire (CTQ; β = 0.272, p = 0.013) and the Adverse Childhood Experiences (ACEs) questionnaire (β = 0.307, p = 0.005) and remained significant when adjusting for exposure to the dimension of Household Dysfunction (β = 0.322, p = 0.009). In contrast, the dimension of Household Dysfunction is associated with epigenetic age deceleration (β = -0.194, p = 0.083) which achieved significance after adjusting for exposure to the dimension of Maltreatment (β = -0.304, p = 0.022). This study is the first to investigate these effects among individuals with Major Depressive Disorder and suggests that these dimensions of adversity may be associated with disease via distinct biological mechanisms.
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Affiliation(s)
- Ryan Rampersaud
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.
| | - Ekaterina Protsenko
- University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Ruoting Yang
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Victor Reus
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Rasha Hammamieh
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Gwyneth W Y Wu
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Elissa Epel
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Marti Jett
- Headquarters, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Aarti Gautam
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Synthia H Mellon
- Department of OB-GYN and Reproductive Sciences, UCSF School of Medicine, San Francisco, CA, USA
| | - Owen M Wolkowitz
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
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