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Parthasarathy S, Mashaqi S, Combs D. Naps and cardiovascular disease: you snooze, you lose! J Clin Sleep Med 2024; 20:1225-1226. [PMID: 38847359 PMCID: PMC11294122 DOI: 10.5664/jcsm.11222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 05/31/2024] [Indexed: 08/03/2024]
Affiliation(s)
- Sairam Parthasarathy
- Center for Sleep Circadian & Neuroscience Research, University of Arizona, Tucson, Arizona
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, Arizona
| | - Saif Mashaqi
- Center for Sleep Circadian & Neuroscience Research, University of Arizona, Tucson, Arizona
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, Arizona
| | - Daniel Combs
- Center for Sleep Circadian & Neuroscience Research, University of Arizona, Tucson, Arizona
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Arizona, Tucson, Arizona
- Division of Pulmonary and Sleep Medicine, Department of Pediatrics, University of Arizona, Tucson, Arizona
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Lee HS, Kim B, Park T. The association between sleep quality and accelerated epigenetic aging with metabolic syndrome in Korean adults. Clin Epigenetics 2024; 16:92. [PMID: 39014432 PMCID: PMC11253334 DOI: 10.1186/s13148-024-01706-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 07/08/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND Healthy sleep is vital for maintaining optimal mental and physical health. Accumulating evidence suggests that sleep loss and disturbances play a significant role in the biological aging process, early onset of disease, and reduced lifespan. While numerous studies have explored the association between biological aging and its drivers, only a few studies have examined its relationship with sleep quality. In this study, we investigated the associations between sleep quality and epigenetic age acceleration using whole blood samples from a cohort of 692 Korean adults. Sleep quality of each participant was assessed using the validated Pittsburgh Sleep Quality Index (PSQI), which encompassed seven domains: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleep medication, and daytime dysfunction. Four epigenetic age accelerations (HorvathAgeAccel, HannumAgeAccel, PhenoAgeAccel, and GrimAgeAccel) and the pace of aging, DunedinPACE, were investigated for epigenetic aging estimates. RESULTS Among the 692 participants (good sleepers [n = 441, 63.7%]; poor sleepers [n = 251, 36.3%]), DunedinPACE was positively correlated with PSQI scores in poor sleepers ( γ =0.18, p < 0.01). GrimAgeAccel ( β =0.18, p = 0.02) and DunedinPACE ( β =0.01, p < 0.01) showed a statistically significant association with PSQI scores only in poor sleepers by multiple linear regression. In addition, every one-point increase in PSQI was associated with a 15% increase in the risk of metabolic syndrome (MetS) among poor sleepers (OR = 1.15, 95% CI = 1.03-1.29, p = 0.011). In MetS components, a positive correlation was observed between PSQI score and fasting glucose ( γ = 0.19, p < 0.01). CONCLUSIONS This study suggests that worsening sleep quality, especially in poor sleepers, is associated with accelerated epigenetic aging for GrimAgeAccel and DundinePACE with risk of metabolic syndrome. This finding could potentially serve as a promising strategy for preventing age-related diseases in the future.
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Affiliation(s)
- Ho-Sun Lee
- Forensic Toxicology Division, Daegu Institute, National Forensic Service, Andong-si, Gyeongsangbuk-do, 39872, Korea.
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Korea.
| | - Boram Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Korea
| | - Taesung Park
- Department of Statistics, Seoul National University, Seoul, 08826, Korea
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Rojo-Wissar DM, Parade SH, Barker DH, Van Reen E, Sharkey KM, Gredvig-Ardito C, Carskadon MA. Does sleep link child maltreatment to depressive symptoms among incoming first-year college students? SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2024; 5:zpae041. [PMID: 38979118 PMCID: PMC11229310 DOI: 10.1093/sleepadvances/zpae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 05/06/2024] [Indexed: 07/10/2024]
Abstract
Study Objectives We examined whether sleep (i.e. quality, regularity, and duration) mediated associations between child maltreatment (CM) and depressive symptoms among emerging adults undergoing the major life transition of starting college. Methods Students (N = 1400; 44% male; 48% non-Hispanic white, 20% non-Hispanic Asian, 15% Hispanic all races, 7% non-Hispanic black, and 10% non-Hispanic other races) completed daily sleep diaries for 9 weeks, followed by the Childhood Trauma Questionnaire-Short Form, Pittsburgh Sleep Quality Index, and the Center for Epidemiologic Studies Depression Scale (CES-D). DSD data were used to compute participants' Sleep Regularity Index and average 24-hour total sleep time. We used a nonparametric structural equation modeling bootstrap approach and full information maximum likelihood to account for missing data. In model 1, we controlled for sex and race and ethnicity. In model 2, we further adjusted for baseline CES-D scores. Results The prevalence of self-reported moderate-to-severe CM was 22%. Small but significant indirect effects of CM on greater depressive symptoms through worse sleep quality (β = 0.06, 95% CI = 0.04, 0.09) and lower sleep regularity (β = 0.02, 95% CI = 0.005, 0.03) were observed in model 1. In model 2, only the indirect effect of sleep quality remained significant (β = 0.03, 95% CI = 0.01, 0.06). Conclusions Poorer sleep quality may partially account for associations between CM and depressive symptoms during the first semester of college. Including sleep as a target in student health interventions on college campuses may not only help buffer against poor mental health outcomes for students with CM, but also poor academic and socioeconomic outcomes long-term.
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Affiliation(s)
- Darlynn M Rojo-Wissar
- Department of Psychiatry & Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Bradley/Hasbro Children’s Research Center, E.P. Bradley Hospital, East Providence, RI, USA
- EP Bradley Hospital Sleep Research Laboratory and COBRE Center for Sleep and Circadian Rhythms in Child and Adolescent Mental Health, Providence, RI, USA
| | - Stephanie H Parade
- Department of Psychiatry & Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Bradley/Hasbro Children’s Research Center, E.P. Bradley Hospital, East Providence, RI, USA
| | - David H Barker
- Department of Psychiatry & Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- EP Bradley Hospital Sleep Research Laboratory and COBRE Center for Sleep and Circadian Rhythms in Child and Adolescent Mental Health, Providence, RI, USA
| | - Eliza Van Reen
- EP Bradley Hospital Sleep Research Laboratory and COBRE Center for Sleep and Circadian Rhythms in Child and Adolescent Mental Health, Providence, RI, USA
| | - Katherine M Sharkey
- Department of Psychiatry & Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Caroline Gredvig-Ardito
- Department of Psychiatry & Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- EP Bradley Hospital Sleep Research Laboratory and COBRE Center for Sleep and Circadian Rhythms in Child and Adolescent Mental Health, Providence, RI, USA
| | - Mary A Carskadon
- Department of Psychiatry & Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- EP Bradley Hospital Sleep Research Laboratory and COBRE Center for Sleep and Circadian Rhythms in Child and Adolescent Mental Health, Providence, RI, USA
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4
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Kusters CDJ, Klopack ET, Crimmins EM, Seeman TE, Cole S, Carroll JE. Short Sleep and Insomnia Are Associated With Accelerated Epigenetic Age. Psychosom Med 2024; 86:453-462. [PMID: 37594243 PMCID: PMC10879461 DOI: 10.1097/psy.0000000000001243] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
OBJECTIVE Short sleep and insomnia are each associated with a greater risk of age-related disease, which suggests that insufficient sleep may accelerate biological aging. We examine whether short sleep and insomnia alone or together relates to epigenetic age among older adults. METHODS A total of 3795 men (46.3%) and women aged 56 to 100 years from the Health and Retirement Study were included. Insomnia was defined as reporting at least one insomnia symptom (difficulty falling asleep, waking up at night, or waking up too early in the morning) and feeling unrested when waking up most of the time. Those reporting <6 hours of bedtime were categorized as short sleepers. Three second- or third-generation epigenetic age acceleration clocks were derived from the 2016 Health and Retirement Study Venous Blood Study. The linear regression analysis was adjusted for age, sex, race/ethnicity, education, and obesity status. RESULTS Insomnia and short sleep were associated with acceleration of GrimAge of 0.49 (95% confidence interval [CI] = 0.03-0.94 years; p = .04) and 1.29 (95% CI = 0.52-2.07 years; p = .002) years, respectively, as well as a faster pace of aging (DunedinPACE; 0.018 [95% CI = 0.004-0.033; p = .02] and 0.022 [95% CI = -0.004 to 0.048; p = .11]). Compared with healthy sleepers, individuals with the combination of short sleep and insomnia had an accelerated GrimAge (0.97 years; 95% CI = 0.07-1.87 years, p = .04) and a greater DunedinPACE (0.032; 95% CI = 0.003-0.060, p = .04). CONCLUSIONS Our findings indicate that short sleep, insomnia, and the combination of the two are linked to epigenetic age acceleration, suggesting that these individuals have an older biological age that may contribute to risk of comorbidity and mortality.
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Affiliation(s)
- Cynthia D J Kusters
- From the Department of Epidemiology (Kusters, Seeman), Fielding School of Public Health, UCLA; Davis School of Gerontology (Klopack, Crimmins), and Leonard Davis School of Gerontology, USC; Department of Geriatrics (Seeman), and Cousins Center for Psychoneuroimmunology (Cole, Carroll), Jane & Terry Semel Institute for Neuroscience & Human Behavior, Department of Psychiatry, David Geffen School of Medicine, UCLA, Los Angeles, California
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Knisely MR, Masese RV, Mathias JG, Yang Q, Hatch D, Lê BM, Luyster F, Garrett ME, Tanabe PJ, Shah NR, Ashley-Koch A. Epigenetic Aging Associations With Psychoneurological Symptoms and Social Functioning in Adults With Sickle Cell Disease. Biol Res Nurs 2024:10998004241250322. [PMID: 38679469 DOI: 10.1177/10998004241250322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
Objective: Sickle cell disease (SCD), the most common inherited blood disorder in the United States, is associated with severe psychoneurological symptoms. While epigenetic age acceleration has been linked to psychoneurological symptom burden in other diseases, this connection is unexplored in SCD. This study aimed to assess the association between epigenetic age acceleration and psychoneurological symptom burden in SCD. Methods: In this cross-sectional study, emotional impact, pain impact, sleep impact, social functioning, and cognitive function were assessed in 87 adults living with SCD. DNA methylation data were generated from blood specimens and used to calculate epigenetic age using five clocks (Horvath, Hannum, PhenoAge, GrimAge, & DunedinPACE). Associations between epigenetic age acceleration and symptoms were assessed. Results: The sample (N = 87) had a mean (SD) chronologic age was 30.6 (8.1) years. Epigenetic age acceleration was associated with several symptom outcomes. GrimAge age acceleration (β = -0.49, p = .03) and increased DunedinPACE (β = -2.23, p = .004) were associated with worse emotional impact scores. PhenoAge (β = -0.32, p = .04) and the GrimAge (β = -0.48, p = .05) age acceleration were associated with worse pain impact scores. Increased DunedinPACE (β = -2.07 p = .04) were associated with worse sleep impact scores. Increased DunedinPACE (β = -2.87, p = .005) was associated with worse social functioning scores. We did not find associations between epigenetic age acceleration and cognitive function in this sample. Conclusion: Epigenetic age acceleration was associated with worse symptom experiences, suggesting the potential for epigenetic age acceleration as a biomarker to aid in risk stratification or targets for intervention to mitigate symptom burden in SCD.
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Affiliation(s)
| | - Rita V Masese
- Center for Bioethics, Department of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joacy G Mathias
- Division of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA
| | - Qing Yang
- Duke University School of Nursing, Durham, NC, USA
| | - Daniel Hatch
- Duke University School of Nursing, Durham, NC, USA
| | - Brandon M Lê
- Duke Molecular Physiology Institute, Durham, NC, USA
| | - Faith Luyster
- University of Pittsburgh School of Nursing, Pittsburgh, PA, USA
| | | | | | - Nirmish R Shah
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Allison Ashley-Koch
- Duke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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Taylor JY, Jones-Patten A, Prescott L, Potts-Thompson S, Joyce C, Tayo B, Saban K. The race-based stress reduction intervention (RiSE) study on African American women in NYC and Chicago: Design and methods for complex genomic analysis. PLoS One 2024; 19:e0295293. [PMID: 38598554 PMCID: PMC11006145 DOI: 10.1371/journal.pone.0295293] [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: 05/24/2023] [Accepted: 11/19/2023] [Indexed: 04/12/2024] Open
Abstract
RiSE study aims to evaluate a race-based stress-reduction intervention as an effective strategy to improve coping and decrease stress-related symptoms, inflammatory burden, and modify DNA methylation of stress response-related genes in older AA women. This article will describe genomic analytic methods to be utilized in this longitudinal, randomized clinical trial of older adult AA women in Chicago and NYC that examines the effect of the RiSE intervention on DNAm pre- and post-intervention, and its overall influence on inflammatory burden. Salivary DNAm will be measured at baseline and 6 months following the intervention, using the Oragene-DNA kit. Measures of perceived stress, depressive symptoms, fatigue, sleep, inflammatory burden, and coping strategies will be assessed at 4 time points including at baseline, 4 weeks, 8 weeks, and 6 months. Genomic data analysis will include the use of pre-processed and quality-controlled methylation data expressed as beta (β) values. Association analyses will be performed to detect differentially methylated sites on the targeted candidate genes between the intervention and non-intervention groups using the Δβ (changes in methylation) with adjustment for age, health behaviors, early life adversity, hybridization batch, and top principal components of the probes as covariates. To account for multiple testing, we will use FDR adjustment with a corrected p-value of <0.05 regarded as statistically significant. To assess the relationship between inflammatory burden and Δβ among the study samples, we will repeat association analyses with the inclusion of individual inflammation protein measures. ANCOVA will be used because it is more statistically powerful to detect differences.
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Affiliation(s)
- Jacquelyn Y. Taylor
- Center for Research on People of Color, Columbia University School of Nursing, New York, New York, United States of America
| | - Alexandria Jones-Patten
- Center for Research on People of Color, Columbia University School of Nursing, New York, New York, United States of America
| | - Laura Prescott
- Center for Research on People of Color, Columbia University School of Nursing, New York, New York, United States of America
| | - Stephanie Potts-Thompson
- Center for Research on People of Color, Columbia University School of Nursing, New York, New York, United States of America
| | - Cara Joyce
- Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, United States of America
| | - Bamidele Tayo
- Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, United States of America
| | - Karen Saban
- Marcella Niehoff School of Nursing, Center for Translational Research and Education, Loyola University Chicago, Maywood, Illinois, United States of America
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Wang M, Yang M, Liang S, Wang N, Wang Y, Sambou ML, Qin N, Zhu M, Wang C, Jiang Y, Dai J. Association between sleep traits and biological aging risk: a Mendelian randomization study based on 157 227 cases and 179 332 controls. Sleep 2024; 47:zsad299. [PMID: 37982786 DOI: 10.1093/sleep/zsad299] [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: 05/18/2023] [Revised: 09/23/2023] [Indexed: 11/21/2023] Open
Abstract
STUDY OBJECTIVES To investigate whether sleep traits are associated with the risk of biological aging using a case-control design with Mendelian randomization (MR) analyses. METHODS We studied 336 559 participants in the UK Biobank cohort, including 157 227 cases of accelerated biological aging and 179 332 controls. PhenoAge, derived from clinical traits, estimated biological ages, and the discrepancies from chronological age were defined as age accelerations (PhenoAgeAccel). Sleep behaviors were assessed with a standardized questionnaire. propensity score matching matched control participants to age-accelerated participants, and a conditional multivariable logistic regression model estimated odds ratio (OR) and 95% confidence intervals (95% CI). Causal relationships between sleep traits and PhenoAgeAccel were explored using linear and nonlinear MR methods. RESULTS A U-shaped association was found between sleep duration and PhenoAgeAccel risk. Short sleepers had a 7% higher risk (OR = 1.07; 95% CI: 1.03 to 1.11), while long sleepers had an 18% higher risk (OR = 1.18; 95% CI: 1.15 to 1.22), compared to normal sleepers (6-8 hours/day). Evening chronotype was linked to higher PhenoAgeAccel risk than morning chronotype (OR = 1.14; 95% CI: 1.10 to 1.18), while no significant associations were found for insomnia or snoring. Morning chronotype had a protective effect on PhenoAgeAccel risk (OR = 0.87, 95% CI: 0.79 to 0.95) per linear MR analysis. Genetically predicted sleep duration showed a U-shaped relationship with PhenoAgeAccel, suggesting a nonlinear association (pnonlinear < 0.001). CONCLUSIONS The study suggests that improving sleep can slow biological aging, highlighting the importance of optimizing sleep as an intervention to mitigate aging's adverse effects.
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Affiliation(s)
- Mei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Meiqi Yang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Shuang Liang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Nanxi Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yifan Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Muhammed Lamin Sambou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Na Qin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Nanjing Yike Population Health Research Institute, Nanjing 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Genomic Science and Precision Medicine Institute, Gusu School, Nanjing Medical University, Nanjing 211166, China
- Nanjing Yike Population Health Research Institute, Nanjing 211166, China
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Sosnowski DW, Smail EJ, Maher BS, Moore AZ, Kuo PL, Wu MN, Low DV, Stone KL, Simonsick EM, Ferrucci L, Spira AP. Sleep Duration Polygenic Risk and Phenotype: Associations with Biomarkers of Accelerated Aging in the Baltimore Longitudinal Study of Aging. Int J Aging Hum Dev 2024:914150241231192. [PMID: 38347745 DOI: 10.1177/00914150241231192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
We sought to explore whether genetic risk for, and self-reported, short sleep are associated with biological aging and whether age and sex moderate these associations. Participants were a subset of individuals from the Baltimore Longitudinal Study of Aging who had complete data on self-reported sleep (n = 567) or genotype (n = 367). Outcomes included: Intrinsic Horvath age, Hannum age, PhenoAge, GrimAge, and DNAm-based estimates of plasminogen activator inhibitor-1 (PAI-1) and granulocyte count. Results demonstrated that polygenic risk for short sleep was positively associated with granulocyte count; compared to those reporting <6 hr sleep, those reporting >7 hr demonstrated faster PhenoAge and GrimAge acceleration and higher estimated PAI-1. Polygenic risk for short sleep and self-reported sleep duration interacted with age and sex in their associations with some of the outcomes. Findings highlight that polygenic risk for short sleep and self-reported long sleep is associated with variation in the epigenetic landscape and subsequently aging.
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Affiliation(s)
- David W Sosnowski
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Emily J Smail
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Brion S Maher
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Ann Zenobia Moore
- Longitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Pei-Lun Kuo
- Longitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Mark N Wu
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Dominique V Low
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Eleanor M Simonsick
- Longitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Adam P Spira
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Services, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Johns Hopkins Center on Aging and Health, Baltimore, MD, USA
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9
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Tao MH, Drake CL, Lin CH. Association of sleep duration, chronotype, social jetlag, and sleep disturbance with phenotypic age acceleration: A cross-sectional analysis. Sleep Health 2024; 10:122-128. [PMID: 38238123 DOI: 10.1016/j.sleh.2023.11.015] [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: 08/09/2023] [Revised: 11/22/2023] [Accepted: 11/30/2023] [Indexed: 03/01/2024]
Abstract
OBJECTIVE Sleep is a critical health-related behavior; research evidence has shown that sleep duration, poor sleep quality and insomnia are associated with aging and relevant age-related diseases. However, the associations between sleep duration, chronotype, sleep disturbance, and biological age have not been comprehensively assessed. This study aimed to examine sleep characteristics with biological age. METHODS The study included 6534 participants aged 20 years and older from the National Health and Nutrition Examination Survey between 2017 and March 2020. Sleep questionnaires were used to collect information on sleep duration and wake behavior on workdays and workfree days and sleep disturbance. Phenotypic age acceleration (PhenoAgeAccel) was estimated as a biological age measure using 9 blood chemistry biomarkers. RESULTS Long sleep (>9 hours) and extremely short sleep (≤4 hours) on workdays were positively associated with PhenoAgeAccel, compared with optimal sleep duration (7-8 hours). Similar positive associations with PhenoAgeAccel were observed for sleep duration on workfree days and across the whole week. Both slightly evening and evening chronotypes were associated with faster PhenoAgeAccel compared to morning chronotype. Social jetlag and sleep disturbance were not associated with PhenoAgeAccel, while long corrected social jetlag was associated with faster PhenoAgeAccel. The associations of sleep duration, chronotype, and corrected social jetlag with PhenoAgeAccel appeared stronger among females than among males. CONCLUSIONS Findings suggest a U-shape relationship between sleep duration and biological aging; slightly evening and evening chronotypes may be risk factors for aging. Further studies are needed to confirm these findings.
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Affiliation(s)
- Meng-Hua Tao
- Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, USA.
| | - Christopher L Drake
- Department of Medicine, Division of Sleep Medicine, Henry Ford Health System, Novi, Michigan, USA
| | - Chun-Hui Lin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, USA
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10
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Windred DP, Burns AC, Lane JM, Saxena R, Rutter MK, Cain SW, Phillips AJK. Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study. Sleep 2024; 47:zsad253. [PMID: 37738616 PMCID: PMC10782501 DOI: 10.1093/sleep/zsad253] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 09/13/2023] [Indexed: 09/24/2023] Open
Abstract
Abnormally short and long sleep are associated with premature mortality, and achieving optimal sleep duration has been the focus of sleep health guidelines. Emerging research demonstrates that sleep regularity, the day-to-day consistency of sleep-wake timing, can be a stronger predictor for some health outcomes than sleep duration. The role of sleep regularity in mortality, however, has not been investigated in a large cohort with objective data. We therefore aimed to compare how sleep regularity and duration predicted risk for all-cause and cause-specific mortality. We calculated Sleep Regularity Index (SRI) scores from > 10 million hours of accelerometer data in 60 977 UK Biobank participants (62.8 ± 7.8 years, 55.0% female, median[IQR] SRI: 81.0[73.8-86.3]). Mortality was reported up to 7.8 years after accelerometer recording in 1859 participants (4.84 deaths per 1000 person-years, mean (±SD) follow-up of 6.30 ± 0.83 years). Higher sleep regularity was associated with a 20%-48% lower risk of all-cause mortality (p < .001 to p = 0.004), a 16%-39% lower risk of cancer mortality (p < 0.001 to p = 0.017), and a 22%-57% lower risk of cardiometabolic mortality (p < 0.001 to p = 0.048), across the top four SRI quintiles compared to the least regular quintile. Results were adjusted for age, sex, ethnicity, and sociodemographic, lifestyle, and health factors. Sleep regularity was a stronger predictor of all-cause mortality than sleep duration, by comparing equivalent mortality models, and by comparing nested SRI-mortality models with and without sleep duration (p = 0.14-0.20). These findings indicate that sleep regularity is an important predictor of mortality risk and is a stronger predictor than sleep duration. Sleep regularity may be a simple, effective target for improving general health and survival.
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Affiliation(s)
- Daniel P Windred
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Angus C Burns
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jacqueline M Lane
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Martin K Rutter
- Centre for Biological Timing, Division of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sean W Cain
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Andrew J K Phillips
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
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11
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Wu Z, Qu J, Zhang W, Liu GH. Stress, epigenetics, and aging: Unraveling the intricate crosstalk. Mol Cell 2024; 84:34-54. [PMID: 37963471 DOI: 10.1016/j.molcel.2023.10.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 11/16/2023]
Abstract
Aging, as a complex process involving multiple cellular and molecular pathways, is known to be exacerbated by various stresses. Because responses to these stresses, such as oxidative stress and genotoxic stress, are known to interplay with the epigenome and thereby contribute to the development of age-related diseases, investigations into how such epigenetic mechanisms alter gene expression and maintenance of cellular homeostasis is an active research area. In this review, we highlight recent studies investigating the intricate relationship between stress and aging, including its underlying epigenetic basis; describe different types of stresses that originate from both internal and external stimuli; and discuss potential interventions aimed at alleviating stress and restoring epigenetic patterns to combat aging or age-related diseases. Additionally, we address the challenges currently limiting advancement in this burgeoning field.
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Affiliation(s)
- Zeming Wu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
| | - Jing Qu
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Weiqi Zhang
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; The Fifth People's Hospital of Chongqing, Chongqing 400062, China.
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Advanced Innovation Center for Human Brain Protection and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China; Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
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12
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Kawamura T, Radak Z, Tabata H, Akiyama H, Nakamura N, Kawakami R, Ito T, Usui C, Jokai M, Torma F, Kim H, Miyachi M, Torii S, Suzuki K, Ishii K, Sakamoto S, Oka K, Higuchi M, Muraoka I, McGreevy KM, Horvath S, Tanisawa K. Associations between cardiorespiratory fitness and lifestyle-related factors with DNA methylation-based ageing clocks in older men: WASEDA'S Health Study. Aging Cell 2024; 23:e13960. [PMID: 37584423 PMCID: PMC10776125 DOI: 10.1111/acel.13960] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/31/2023] [Accepted: 08/02/2023] [Indexed: 08/17/2023] Open
Abstract
DNA methylation-based age estimators (DNAm ageing clocks) are currently one of the most promising biomarkers for predicting biological age. However, the relationships between cardiorespiratory fitness (CRF), measured directly by expiratory gas analysis, and DNAm ageing clocks are largely unknown. We investigated the relationships between CRF and the age-adjusted value from the residuals of the regression of DNAm ageing clock to chronological age (DNAmAgeAcceleration: DNAmAgeAccel) and attempted to determine the relative contribution of CRF to DNAmAgeAccel in the presence of other lifestyle factors. DNA samples from 144 Japanese men aged 65-72 years were used to appraise first- (i.e., DNAmHorvath and DNAmHannum) and second- (i.e., DNAmPhenoAge, DNAmGrimAge, and DNAmFitAge) generation DNAm ageing clocks. Various surveys and measurements were conducted, including physical fitness, body composition, blood biochemical parameters, nutrient intake, smoking, alcohol consumption, disease status, sleep status, and chronotype. Both oxygen uptake at ventilatory threshold (VO2 /kg at VT) and peak oxygen uptake (VO2 /kg at Peak) showed a significant negative correlation with GrimAgeAccel, even after adjustments for chronological age and smoking and drinking status. Notably, VO2 /kg at VT and VO2 /kg at Peak above the reference value were also associated with delayed GrimAgeAccel. Multiple regression analysis showed that calf circumference, serum triglyceride, carbohydrate intake, and smoking status, rather than CRF, contributed more to GrimAgeAccel and FitAgeAccel. In conclusion, although the contribution of CRF to GrimAgeAccel and FitAgeAccel is relatively low compared to lifestyle-related factors such as smoking, the results suggest that the maintenance of CRF is associated with delayed biological ageing in older men.
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Affiliation(s)
- Takuji Kawamura
- Waseda Institute for Sport Sciences, Waseda UniversitySaitamaJapan
- Research Centre for Molecular Exercise ScienceHungarian University of Sports ScienceBudapestHungary
| | - Zsolt Radak
- Research Centre for Molecular Exercise ScienceHungarian University of Sports ScienceBudapestHungary
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan
| | - Hiroki Tabata
- Waseda Institute for Sport Sciences, Waseda UniversitySaitamaJapan
- Sportology CentreJuntendo University Graduate School of MedicineTokyoJapan
| | - Hiroshi Akiyama
- Graduate School of Sport SciencesWaseda UniversitySaitamaJapan
| | | | - Ryoko Kawakami
- Waseda Institute for Sport Sciences, Waseda UniversitySaitamaJapan
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and WelfareTokyoJapan
| | - Tomoko Ito
- Waseda Institute for Sport Sciences, Waseda UniversitySaitamaJapan
- Department of Food and NutritionTokyo Kasei UniversityTokyoJapan
| | - Chiyoko Usui
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan
| | - Matyas Jokai
- Research Centre for Molecular Exercise ScienceHungarian University of Sports ScienceBudapestHungary
| | - Ferenc Torma
- Faculty of Health and Sport SciencesUniversity of TsukubaIbarakiJapan
| | - Hyeon‐Ki Kim
- Research Centre for Molecular Exercise ScienceHungarian University of Sports ScienceBudapestHungary
| | | | - Suguru Torii
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan
| | | | - Kaori Ishii
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan
| | - Shizuo Sakamoto
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan
- Faculty of Sport ScienceSurugadai UniversitySaitamaJapan
| | - Koichiro Oka
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan
| | | | - Isao Muraoka
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan
| | - Kristen M. McGreevy
- Department of Biostatistics, Fielding School of Public HealthUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Steve Horvath
- Department of Biostatistics, Fielding School of Public HealthUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Department of Human Genetics, David Geffen School of MedicineUniversity of California Los AngelesLos AngelesCaliforniaUSA
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13
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Tang Y, Gan H, Wang B, Wang X, Li M, Yang Q, Geng M, Zhu P, Shao S, Tao F. Mediating effects of DNA methylation in the association between sleep quality and infertility among women of childbearing age. BMC Public Health 2023; 23:1802. [PMID: 37715240 PMCID: PMC10503064 DOI: 10.1186/s12889-023-16681-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 09/01/2023] [Indexed: 09/17/2023] Open
Abstract
BACKGROUND This study aims to investigate the association between sleep quality and infertility among women and to explore the mediating effects of DNA methylation in this association. METHODS This study is a population-based case-control study. The relationship between sleep quality and infertility was investigated in women with anovulatory infertility (n = 43) and healthy controls (n = 43). Genome-wide DNA methylation was profiled from peripheral blood samples using the Illumina Infinium Human Methylation 850k BeadChip. Differentially methylated CpGs between cases and controls were identified using the ChAMP R package. The mediating effect of DNA methylation between sleep quality and infertility among women was investigated using the Bayesian estimation method provided by the R package "mediation". RESULTS The survey included 86 women of reproductive age, with 43 participants each in the case and control groups. The average age of the women was 27.6 ± 2.8 years (case group: 27.8 ± 3.0 years, control group: 27.4 ± 2.7 years). A total of 262 differentially methylated CpGs corresponding to 185 genes were identified. Difficulty falling asleep was a risk factor for infertility in women (OR = 3.69, 95%CI = 1.14, 11.99), and a causal mediation effect of DNA methylation CpGs was found. The mediating effect coefficient for cg08298632 was 0.10 (95%CI = 0.01-0.22), and the proportion of the total effect mediated by this methylation site increased to 64.3%. CONCLUSION These results suggest that DNA methylation CpGs (cg08298632) play a significant role in the relationship between difficulty falling asleep and infertility in females. These findings contribute to our understanding of the underlying mechanisms that connect difficulty falling asleep and infertility in women. Further studies are necessary to fully understand the biological significance and potential therapeutic applications of these findings. The identified DNA methylation sites provide new and valuable insights and potential targets for future studies aiming to prevent and treat female infertility.
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Affiliation(s)
- Ying Tang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hong Gan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Baolin Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xiaorui Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Mengdie Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Qianhui Yang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Menglong Geng
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Shanshan Shao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China.
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
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14
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Primack JM, Quinn MJ, Carskadon MA, Holman CS, Nazem S, Kelsey MR, Fedorenko EJ, McGeary S, Brick LA, McGeary JE. Longitudinal assessment of the sleep suicide link in Veterans: methods and study protocol. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2023; 4:zpad025. [PMID: 37303865 PMCID: PMC10254730 DOI: 10.1093/sleepadvances/zpad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/18/2023] [Indexed: 06/13/2023]
Abstract
Although sleep disruption has emerged as a theoretically consistent and empirically supported suicide risk factor, the mechanistic pathways underlying the sleep-suicide link are less understood. This paper describes the methodology of a study intended to examine longitudinal mechanisms driving the link between sleep and suicide in Veterans at elevated suicide risk. Participants will be 140 Veterans hospitalized for suicide attempt or ideation with plan and intent or those identified through the Suicide Prevention Coordinator (SPC) office as being at acute risk. After study enrollment, actigraphy and ecological momentary assessment (EMA) data will be collected for 8 weeks, with follow-up assessments occurring at 2, 4, 6, 8, and 26 weeks. Participants respond to EMA questionnaires, derived from psychometrically validated assessments targeting emotional reactivity, emotion regulation, impulsivity, suicide risk, and sleep timing constructs, five times a day. First and last daily EMA target sleep parameters including sleep quantity, quality, timing, nightmares, and nocturnal awakenings. During follow-up assessments, participants will complete self-report assessments and interviews consistent with EMA constructs and the Iowa Gambling Task. The primary outcome for aim 1 is suicide ideation severity and for the primary outcome for aim 2 is suicide behavior. Findings from this study will improve our understanding of the dynamic interactions among sleep disturbance, emotion reactivity/regulation, and impulsivity to inform conceptual Veteran sleep-suicide mechanistic models. Improved models will be critical to optimizing the precision of suicide prevention efforts that aim to intervene and mitigate risk in Veteran populations, especially during a period of acute risk.
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Affiliation(s)
- Jennifer M Primack
- Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Mary A Carskadon
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- E.P. Bradley Hospital, Sleep Research Laboratory, Providence, RI, USA
| | - Caroline S Holman
- Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Sarra Nazem
- National Center for PTSD Dissemination & Training Division, Menlo Park, CA, USA
| | | | - Erick J Fedorenko
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Psychology, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Sarah McGeary
- Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Leslie A Brick
- Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - John E McGeary
- Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
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15
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Balfour D, Melton PE, McVeigh JA, Huang R, Eastwood PR, Wanstall S, Reynolds AC, Cohen‐Woods S. Childhood sleep health and epigenetic age acceleration in late adolescence: Cross-sectional and longitudinal analyses. Acta Paediatr 2023; 112:1001-1010. [PMID: 36808764 PMCID: PMC10952569 DOI: 10.1111/apa.16719] [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: 11/23/2022] [Revised: 01/14/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023]
Abstract
AIM Investigate if childhood measures of sleep health are associated with epigenetic age acceleration in late adolescence. METHODS Parent-reported sleep trajectories from age 5 to 17, self-reported sleep problems at age 17, and six measures of epigenetic age acceleration at age 17 were studied in 1192 young Australians from the Raine Study Gen2. RESULTS There was no evidence for a relationship between the parent-reported sleep trajectories and epigenetic age acceleration (p ≥ 0.17). There was a positive cross-sectional relationship between self-reported sleep problem score and intrinsic epigenetic age acceleration at age 17 (b = 0.14, p = 0.04), which was attenuated after controlling for depressive symptom score at the same age (b = 0.08, p = 0.34). Follow-up analyses suggested this finding may represent greater overtiredness and intrinsic epigenetic age acceleration in adolescents with higher depressive symptoms. CONCLUSION There was no evidence for a relationship between self- or parent-reported sleep health and epigenetic age acceleration in late adolescence after adjusting for depressive symptoms. Mental health should be considered as a potential confounding variable in future research on sleep and epigenetic age acceleration, particularly if subjective measures of sleep are used.
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Affiliation(s)
- David Balfour
- College of Education, Psychology, and Social WorkFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Phillip E. Melton
- Menzies Institute for Medical Research, College of Health and MedicineUniversity of TasmaniaHobartTasmaniaAustralia
- School of Population and Global HealthThe University of Western AustraliaNedlandsWestern AustraliaAustralia
| | - Joanne A. McVeigh
- Curtin School of Allied HealthCurtin UniversityPerthWestern AustraliaAustralia
- Movement Physiology Laboratory, School of PhysiologyUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Rae‐Chi Huang
- Nutrition and Health Innovation Research Institute (NHIRI)Edith Cowan UniversityPerthWestern AustraliaAustralia
| | - Peter R. Eastwood
- Flinders Health and Medical Research Institute (Sleep Health)Flinders UniversityAdelaideSouth AustraliaAustralia
| | - Sian Wanstall
- Flinders Health and Medical Research Institute (Sleep Health)Flinders UniversityAdelaideSouth AustraliaAustralia
| | - Amy C. Reynolds
- Flinders Health and Medical Research Institute (Sleep Health)Flinders UniversityAdelaideSouth AustraliaAustralia
| | - Sarah Cohen‐Woods
- College of Education, Psychology, and Social WorkFlinders UniversityAdelaideSouth AustraliaAustralia
- Flinders University Institute for Mental Health and WellbeingFlinders UniversityAdelaideSouth AustraliaAustralia
- Flinders Centre for Innovation in CancerFlinders UniversityAdelaideSouth AustraliaAustralia
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16
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Goetz AR, Jindal I, Moreno JP, Puyau MR, Adolph AL, Musaad S, Butte NF, Bacha F. The Role of Sleep and Eating Patterns in Adiposity Gain among Preschool-Aged Children. Am J Clin Nutr 2022; 116:1334-1342. [PMID: 35833269 PMCID: PMC9630867 DOI: 10.1093/ajcn/nqac197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/05/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Short sleep duration is related to risk for obesity in preschool children. However, the underlying mechanism(s) are not clear. OBJECTIVE We evaluated the relationship between sleep characteristics with body composition, energetics and weight-regulating behaviors in preschool-aged children; and the longitudinal associations between children's sleep and eating patterns with body composition at 1-year follow-up. METHODS Data were drawn from a longitudinal study of 118 children aged 3-5 years. Sleep (duration, midpoint, regularity) and physical activity (PA) were measured by accelerometry over 6 consecutive days; total energy expenditure (TEE) using the doubly-labeled water method; body composition (fat mass, fat-free mass, and %body fat) by dual energy x-ray absorptiometry; and dietary intake (energy intake, timing) using two 24-h recalls. Multivariable regression was used to estimate interindividual associations of sleep parameters with body composition, PA, TEE and dietary outcomes; and to examine the relationship between sleep and dietary behaviors with body composition one year later. RESULTS Cross-sectionally, later sleep midpoint was associated with greater fat mass (0.33; 95% CI: 0.05, 0.60) and %body fat (0.92; 95% CI: 0.15, 1.70). Later sleep midpoint was associated with delayed morning (0.51; 95% CI: 0.28, 0.74) and evening meal times (0.41; 95% CI: 0.29, 0.53), higher nighttime (45.6; 95% CI: 19.7, 71.4), and lower morning (-44.8; 95% CI: -72.0, -17.6) energy intake. Longitudinally, shorter sleep duration (-0.02; 95% CI: -0.03, -0.00) and later meal timing (0.83; 95% CI: 0.24, 1.42) were associated with higher %body fat 1 year later. CONCLUSIONS Shorter sleep duration and later meal timing are associated with adiposity gain in preschoolers.
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Affiliation(s)
- Amy R Goetz
- Department of Pediatrics, USDA and Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA,Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Ishita Jindal
- Department of Pediatrics, USDA and Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA,Division of Pediatric Endocrinology and Diabetes, Texas Children's Hospital, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Jennette P Moreno
- Department of Pediatrics, USDA and Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Maurice R Puyau
- Department of Pediatrics, USDA and Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Anne L Adolph
- Department of Pediatrics, USDA and Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Salma Musaad
- Department of Pediatrics, USDA and Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Nancy F Butte
- Department of Pediatrics, USDA and Agricultural Research Service Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Fida Bacha
- Address correspondence to Fida Bacha (e-mail: )
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17
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Reale A, Tagliatesta S, Zardo G, Zampieri M. Counteracting aged DNA methylation states to combat ageing and age-related diseases. Mech Ageing Dev 2022; 206:111695. [PMID: 35760211 DOI: 10.1016/j.mad.2022.111695] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 06/09/2022] [Accepted: 06/22/2022] [Indexed: 12/18/2022]
Abstract
DNA methylation (DNAm) overwrites information about multiple extrinsic factors on the genome. Age is one of these factors. Age causes characteristic DNAm changes that are thought to be not only major drivers of normal ageing but also precursors to diseases, cancer being one of these. Although there is still much to learn about the relationship between ageing, age-related diseases and DNAm, we now know how to interpret some of the effects caused by age in the form of changes in methylation marks at specific loci. In fact, these changes form the basis of the so called "epigenetic clocks", which translate the genomic methylation profile into an "epigenetic age". Epigenetic age does not only estimate chronological age but can also predict the risk of chronic diseases and mortality. Epigenetic age is believed to be one of the most accurate metrics of biological age. Initial evidence has recently been gathered pointing to the possibility that the rate of epigenetic ageing can be slowed down or even reversed. In this review, we discuss some of the most relevant advances in this field. Expected outcome is that this approach can provide insights into how to preserve health and reduce the impact of ageing diseases in humans.
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Affiliation(s)
- Anna Reale
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
| | - Stefano Tagliatesta
- Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, 00161 Rome, Italy.
| | - Giuseppe Zardo
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
| | - Michele Zampieri
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.
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Gao X, Huang N, Guo X, Huang T. Role of sleep quality in the acceleration of biological aging and its potential for preventive interaction on air pollution insults: Findings from the UK Biobank cohort. Aging Cell 2022; 21:e13610. [PMID: 35421261 PMCID: PMC9124313 DOI: 10.1111/acel.13610] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 03/03/2022] [Accepted: 03/25/2022] [Indexed: 12/16/2022] Open
Abstract
Sleep has been associated with aging and relevant health outcomes, but the causal relationship remains inconclusive. In this study, we investigated the associations of sleep behaviors with biological ages (BAs) among 363,886 middle and elderly adults from UK Biobank. Sleep index (0 [worst]-6 [best]) of each participant was retrieved from the following six sleep behaviors: snoring, chronotype, daytime sleepiness, sleep duration, insomnia, and difficulties in getting up. Two BAs, the KDM-biological age and PhenoAge, were estimated by corresponding algorithms based on clinical traits, and their residual discrepancies with chronological age were defined as the age accelerations (AAs). We first observed negative associations between the sleep index and the two AAs, and demonstrated that the change of AAs could be the consequence of sleep quality using Mendelian randomization with genetic risk scores of sleep index and BAs. Particularly, a one-unit increase in sleep index was associated with 0.104- and 0.119-year decreases in KDM-biological AA and PhenoAge acceleration, respectively. Air pollution is another key driver of aging. We further observed significant independent and joint effects of sleep and air pollution (PM2.5 and NO2 ) on AAs. Sleep quality also showed a modifying effect on the associations of elevated PM2.5 and NO2 levels with accelerated AAs. For instance, an interquartile range increase in PM2.5 level was associated with 0.009-, 0.044-, and 0.074-year increase in PhenoAge acceleration among people with high (5-6), medium (3-4), and low (0-2) sleep index, respectively. Our findings elucidate that better sleep quality could lessen accelerated biological aging resulting from air pollution.
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Affiliation(s)
- Xu Gao
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Ninghao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Sambou ML, Zhao X, Hong T, Fan J, Basnet TB, Zhu M, Wang C, Hang D, Jiang Y, Dai J. Associations Between Sleep Quality and Health Span: A Prospective Cohort Study Based on 328,850 UK Biobank Participants. Front Genet 2021; 12:663449. [PMID: 34211497 PMCID: PMC8239359 DOI: 10.3389/fgene.2021.663449] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 05/10/2021] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVE To examine the associations between sleep quality and health span using a prospective cohort design based on the UK Biobank (UKB). MATERIALS AND METHODS This longitudinal cohort study enrolled 328,850 participants aged between 37 and 73 years from UKB to examine the associations between sleep quality and risk of terminated health span. End of health span was defined by eight events strongly associated with longevity (cancer, death, congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, and diabetes), and a sleep score was generated according to five sleep behavioral factors (sleep duration, chronotype, sleeplessness, daytime sleepiness, and snoring) to characterize sleep quality. The hazard ratio (HR) and 95% confidence intervals (CIs) were calculated by multivariate-adjusted Cox proportional hazards model. Moreover, we calculated population attributable risk percentage (PAR%) to reflect the public health significance of healthy sleep quality. RESULTS Compared with poor sleep quality, participants with healthy sleep quality had a 15% (HR: 0.85, 95% CI: 0.81-0.88) reduced risk of terminated health span, and those of less-healthy sleep quality had a 12% (HR: 0.88, 95% CI: 0.85-0.92) reduced risk. Linear trend results indicated that the risk of terminated health span decreased by 4% for every additional sleep score. Nearly 15% health span termination events in this cohort would have been prevented if a healthy sleep behavior pattern was adhered to (PAR%: 15.30, 95% CI: 12.58-17.93). CONCLUSION Healthy sleep quality was associated with a reduced risk of premature end of health span, suggesting healthy sleep behavior may extend health span. However, further studies are suggested for confirmation of causality and potential mechanism.
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Affiliation(s)
- Muhammed Lamin Sambou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiaoyu Zhao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Tongtong Hong
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jingyi Fan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Til Bahadur Basnet
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Dong Hang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
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20
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Sambou ML, Zhao X, Hong T, Naveed M, Sambou A, El Hafa F, Basnet TIB, Dai J. Investigation of the relationships between sleep behaviors and risk of healthspan termination: a prospective cohort study based on 323,373 UK-Biobank participants. Sleep Breath 2021; 26:205-213. [PMID: 33959859 DOI: 10.1007/s11325-021-02394-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/19/2021] [Accepted: 04/28/2021] [Indexed: 01/24/2023]
Abstract
OBJECTIVES To examine the associations between four sleep behaviors and the risk of healthspan termination. METHODS This study included 323,373 participants, free of terminated healthspan at baseline, from the UK-Biobank (UKB). We applied multivariable-adjusted Cox regression models to estimate the risk of terminated healthspan based on four sleep behaviors (insomnia/sleeplessness, napping, daytime sleepiness, and difficulty getting up from bed), which were self-reported and measured on Likert scales from "usually" to "never/rarely" experiences. In this study, healthspan was defined based on eight events that are strongly associated with longevity (congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, diabetes, cancer, and death). RESULTS Participants who reported the following unhealthy sleep behaviors had a significantly higher risk of terminated healthspan: "usually experience sleeplessness/insomnia" (HR = 1.05, 95% CI: 1.03-1.07; P < 0.001); "usually nap" (HR = 1.22, 95% CI: 1.18-1.26; P < 0.01); "excessive daytime sleepiness" (HR = 1.25, 95% CI: 1.19-1.32; P < 0.001); and "difficult getting up from bed" (HR = 1.08, 95% CI: 1.05-1.10; P < 0.001). The corresponding population attributable risk percentage (PAR%) indicated that about 7% of healthspan termination in this cohort would have been eliminated if all participants had healthy sleep behaviors. CONCLUSION Participants who reported "usually experience sleeplessness/insomnia," "usually nap," "excessive daytime sleepiness," and "difficult getting up from bed" had increased risk of shortened healthspan. Therefore, adherence to healthy sleep behavior is significant for the extension of healthspan.
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Affiliation(s)
- Muhammed Lamin Sambou
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China.
| | - Xiaoyu Zhao
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - Tongtong Hong
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - Muhammad Naveed
- School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China
| | - Alima Sambou
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - Fadoua El Hafa
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - TIl B Basnet
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, China.
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21
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Fitzgerald KN, Hodges R, Hanes D, Stack E, Cheishvili D, Szyf M, Henkel J, Twedt MW, Giannopoulou D, Herdell J, Logan S, Bradley R. Potential reversal of epigenetic age using a diet and lifestyle intervention: a pilot randomized clinical trial. Aging (Albany NY) 2021; 13:9419-9432. [PMID: 33844651 PMCID: PMC8064200 DOI: 10.18632/aging.202913] [Citation(s) in RCA: 139] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/13/2021] [Indexed: 02/07/2023]
Abstract
Manipulations to slow biological aging and extend healthspan are of interest given the societal and healthcare costs of our aging population. Herein we report on a randomized controlled clinical trial conducted among 43 healthy adult males between the ages of 50-72. The 8-week treatment program included diet, sleep, exercise and relaxation guidance, and supplemental probiotics and phytonutrients. The control group received no intervention. Genome-wide DNA methylation analysis was conducted on saliva samples using the Illumina Methylation Epic Array and DNAmAge was calculated using the online Horvath DNAmAge clock (2013). The diet and lifestyle treatment was associated with a 3.23 years decrease in DNAmAge compared with controls (p=0.018). DNAmAge of those in the treatment group decreased by an average 1.96 years by the end of the program compared to the same individuals at the beginning with a strong trend towards significance (p=0.066). Changes in blood biomarkers were significant for mean serum 5-methyltetrahydrofolate (+15%, p=0.004) and mean triglycerides (-25%, p=0.009). To our knowledge, this is the first randomized controlled study to suggest that specific diet and lifestyle interventions may reverse Horvath DNAmAge (2013) epigenetic aging in healthy adult males. Larger-scale and longer duration clinical trials are needed to confirm these findings, as well as investigation in other human populations.
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Affiliation(s)
| | | | - Douglas Hanes
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - Emily Stack
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - David Cheishvili
- HKG Epitherapeutics (Hong Kong), Department of Molecular Biology, Ariel University, Israel, Gerald Bronfman Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Moshe Szyf
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Janine Henkel
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - Melissa W. Twedt
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - Despina Giannopoulou
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - Josette Herdell
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - Sally Logan
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - Ryan Bradley
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
- Division of Preventive Medicine, University of California, San Diego, CA 92023, USA
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22
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Proshkina EN, Solovev IA, Shaposhnikov MV, Moskalev AA. Key Molecular Mechanisms of Aging, Biomarkers, and Potential Interventions. Mol Biol 2021. [DOI: 10.1134/s0026893320060096] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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23
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Carskadon MA, Barker DH. Editorial Perspective: Adolescents' fragile sleep-shining light on a time of risk to mental health. J Child Psychol Psychiatry 2020; 61:1058-1060. [PMID: 32496579 DOI: 10.1111/jcpp.13275] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/05/2020] [Indexed: 11/30/2022]
Abstract
As many other facets of life-biological, behavioral, psychological, cognitive, and social-undergo change during adolescence, so too does sleep. The context of sleep behavior is modified by alterations to underlying bioregulatory processes that challenge sleep's timing, regularity, and quantity. The buildup of sleep pressure during the day gets slower, opening the door for youth to stay awake later; however, the amount of sleep required does not diminish. Further, the circadian timing system delays, again providing the biological impetus for later sleep. When these changes meet societal demands for early wake, most teens cannot find a way to get enough sleep at a consistent time from night to night. Insufficient and irregular sleep provides a fragile foundation to support mental health.
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Affiliation(s)
- Mary A Carskadon
- E.P. Bradley Hospital Sleep Research Laboratory, Alpert Medical School of Brown University, Providence, RI, USA
| | - David H Barker
- Bradley Hasbro Children's Research Center, Alpert Medical School of Brown University, Providence, RI, USA
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