4.6 Article

Lifestyle and behavioral factors and mitochondrial DNA copy number in a diverse cohort of mid-life and older adults

期刊

PLOS ONE
卷 15, 期 8, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0237235

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资金

  1. Harvard Catalyst/CTSA [1UL1 TR00110201, UL1TR002541]
  2. NIMH [R01 MH096776, R01 MH091448, P30 MH090333]
  3. National Cancer Institute [U01 CA138962, R01 CA138962]
  4. National Heart, Lung and Blood Institute (NHLBI)
  5. Office of Dietary Supplements
  6. National Institute of Neurological Disorders and Stroke
  7. National Center for Complementary and Integrative Health of the National Institutes of Health (NIH)
  8. National Institute of Diabetes and Digestive and Kidney Diseases [DK088078, R01 DK088762]
  9. NHLBI [R01 HL101932, R01 HL102122]
  10. National Institute on Aging (NIA) [R01 AG036755]
  11. National Institute of Arthritis and Musculoskeletal and Skin Diseases [R01 AR059086, R01 AR060574]
  12. National Institute of Mental Health (NIMH) [R01 MH091448]
  13. University of Pittsburgh Medical Center Endowment in Geriatric Psychiatry
  14. JSPS KAKENHI [15J03698]
  15. Accion Estrategica de Salud -Instituto de Salud Carlos III, Spain [CP19/00035]
  16. Grants-in-Aid for Scientific Research [15J03698] Funding Source: KAKEN

向作者/读者索取更多资源

Mitochondrial DNA copy number (mtDNAcn) is a putative biomarker of oxidative stress and biological aging. Modifiable factors, including physical activity (PA), avoidance of heavy alcohol use and smoking, and maintaining good mental health, may reduce oxidative stress and promote healthy aging. Yet, limited data exist regarding how these factors are associated with mtDNAcn or whether age, sex or race/ethnicity moderate associations. In this cross-sectional study, we selected 391 adults (183 non-Hispanic White, 110 Black and 98 Hispanic; mean = 67 years) from the VITAL-DEP (VITamin D and OmegA-3 TriaL-Depression Endpoint Prevention) ancillary to the VITAL trial. We estimated associations between lifestyle and behavioral factors (PA, alcohol consumption, cigarette smoking and depression) and log-transformed mtDNAcn using multivariable linear regression models. MtDNAcn was not correlated with chronological age; women had similar to 17% higher mtDNAcn compared to men. There were no significant associations between PA measures (frequency, amount or intensity) or alcohol consumption with mtDNAcn. Cigarette smoking (per 5 pack-years) was significantly associated with mtDNAcn (percent difference = -2.9% (95% confidence interval (CI) = -5.4%, -0.4%)); a large contrast was observed among heavy vs. non-smokers (>= 30 vs. 0 pack-years): percent difference = -28.5% (95% CI = -44.2%, -8.3%). The estimate of mtDNAcn was suggestively different for past vs. no depression history (percent difference = -15.1% 95% CI = -30.8%, 4.1%), but this difference was not statistically significant. The association between smoking and log-mtDNAcn varied by sex and race/ethnicity; it was stronger in men and Black participants. While chance findings cannot be excluded, results from this study support associations of smoking, but not chronological age, with mtDNAcn and suggest nuanced considerations of mtDNAcn as indicative of varying oxidative stress states vs. biological aging itself.

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