Epigenetic clock analysis of diet, exercise, education, and lifestyle factors

Austin Quach; Morgan E Levine; Toshiko Tanaka; Ake T Lu; Brian H Chen; Luigi Ferrucci; Beate Ritz; Stefania Bandinelli; Marian L Neuhouser; Jeannette M Beasley; Linda Snetselaar; Robert B Wallace; Philip S Tsao; Devin Absher; Themistocles L Assimes; James D Stewart; Yun Li; Lifang Hou; Andrea A Baccarelli; Eric A Whitsel; Steve Horvath

doi:10.18632/aging.101168

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Epigenetic clock analysis of diet, exercise, education, and lifestyle factors

Journal article

Open access

Epigenetic clock analysis of diet, exercise, education, and lifestyle factors

Austin Quach, Morgan E Levine, Toshiko Tanaka, Ake T Lu, Brian H Chen, Luigi Ferrucci, Beate Ritz, Stefania Bandinelli, Marian L Neuhouser, Jeannette M Beasley, …

Aging (Albany, NY.), Vol.9(2), pp.419-446

02/14/2017

DOI: 10.18632/aging.101168

PMCID: PMC5361673

PMID: 28198702

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Abstract

Behavioral and lifestyle factors have been shown to relate to a number of health-related outcomes, yet there is a need for studies that examine their relationship to molecular aging rates. Toward this end, we use recent epigenetic biomarkers of age that have previously been shown to predict all-cause mortality, chronic conditions, and age-related functional decline. We analyze cross-sectional data from 4,173 postmenopausal female participants from the Women's Health Initiative, as well as 402 male and female participants from the Italian cohort study, Invecchiare nel Chianti.Extrinsic epigenetic age acceleration (EEAA) exhibits significant associations with fish intake (p=0.02), moderate alcohol consumption (p=0.01), education (p=3x10 ), BMI (p=0.01), and blood carotenoid levels (p=1x10 )-an indicator of fruit and vegetable consumption, whereas intrinsic epigenetic age acceleration (IEAA) is associated with poultry intake (p=0.03) and BMI (p=0.05). Both EEAA and IEAA were also found to relate to indicators of metabolic syndrome, which appear to mediate their associations with BMI. Metformin-the first-line medication for the treatment of type 2 diabetes-does not delay epigenetic aging in this observational study. Finally, longitudinal data suggests that an increase in BMI is associated with increase in both EEAA and IEAA.Overall, the epigenetic age analysis of blood confirms the conventional wisdom regarding the benefits of eating a high plant diet with lean meats, moderate alcohol consumption, physical activity, and education, as well as the health risks of obesity and metabolic syndrome.

Exercise

Life Style

Cross-Sectional Studies

Epigenesis, Genetic

Humans

Middle Aged

Educational Status

Aging - genetics

Diet

Aged, 80 and over

Female

Aged

Aging - metabolism

Cohort Studies

Details

Title: Subtitle: Epigenetic clock analysis of diet, exercise, education, and lifestyle factors
Creators: Austin Quach - Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
Morgan E Levine - Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
Toshiko Tanaka - National Institute on Aging
Ake T Lu - Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
Brian H Chen - Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, USA. Baltimore, MD 21224, USA
Luigi Ferrucci - Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, USA. Baltimore, MD 21224, USA
Beate Ritz - Department of Epidemiology, UCLA Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
Stefania Bandinelli - Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence, Italy
Marian L Neuhouser - Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
Jeannette M Beasley - Department of Medicine, New York University, New York, NY 10016, USA
Linda Snetselaar - Department of Epidemiology, University of Iowa, 145 N. Riverside Drive, Iowa City, IA 52242, USA
Robert B Wallace - Department of Epidemiology, University of Iowa, 145 N. Riverside Drive, Iowa City, IA 52242, USA
Philip S Tsao - VA Palo Alto Health Care System, Palo Alto CA 94304, USA
Devin Absher - HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
Themistocles L Assimes - Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
James D Stewart - University of North Carolina at Chapel Hill
Yun Li - Department. of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
Lifang Hou - Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University Chicago, IL 60611, USA
Andrea A Baccarelli - Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA
Eric A Whitsel - Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
Steve Horvath - Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
Resource Type: Journal article
Publication Details: Aging (Albany, NY.), Vol.9(2), pp.419-446
DOI: 10.18632/aging.101168
PMID: 28198702
PMCID: PMC5361673
NLM abbreviation: Aging (Albany NY)
ISSN: 1945-4589
eISSN: 1945-4589
Publisher: United States
Grant note: HHSN268201100002I / NHLBI NIH HHS HHSN271201100004C / NIA NIH HHS HHSN268201100001C / WHI NIH HHS HHSN268201100004I / NHLBI NIH HHS P30 ES009089 / NIEHS NIH HHS R01 ES021733 / NIEHS NIH HHS P30 CA060553 / NCI NIH HHS R01 ES025225 / NIEHS NIH HHS HHSN268201100004C / WHI NIH HHS HHSN268201100046C / NHLBI NIH HHS HHSN268201100002C / WHI NIH HHS HHSN268201100001I / NHLBI NIH HHS R01 MD009164 / NIMHD NIH HHS HHSN268201100003C / WHI NIH HHS R01 ES020836 / NIEHS NIH HHS T32 NS048004 / NINDS NIH HHS R01 AG042511 / NIA NIH HHS U34 AG051425 / NIA NIH HHS
Language: English
Date published: 02/14/2017
Academic Unit: Epidemiology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Internal Medicine
Record Identifier: 9983995046502771

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