Combined healthy lifestyle score and risk of epigenetic aging: a discordant monozygotic twin study.


Journal

Aging
ISSN: 1945-4589
Titre abrégé: Aging (Albany NY)
Pays: United States
ID NLM: 101508617

Informations de publication

Date de publication:
25 05 2021
Historique:
received: 14 01 2021
accepted: 02 04 2021
pubmed: 26 5 2021
medline: 21 7 2021
entrez: 25 5 2021
Statut: ppublish

Résumé

We investigated whether lifestyle influences epigenetic aging in 143 monozygotic twin pairs discordant for the combined healthy lifestyle score. Twins were scored for four lifestyle factors as unhealthy or healthy; non-smoker, moderate drinker, adequate fruit and vegetable intake, and sufficient physical activity. The combined healthy lifestyle score was calculated for each participant by summing the binary score for each factor. Individual and co-twin analyses were used to assess the relationship between single or combined lifestyle scores, along with DNA methylation age acceleration (AA) calculated using Horvath's and Li's epigenetic clocks, focusing on AA and intrinsic epigenetic age acceleration (IEAA) measures. Compared with the twins that scored no or one healthy lifestyle point, those who scored four healthy lifestyle points had lower Li_IEAA with similar results observed in the co-twin analysis. No significant relationships were found in analyses based on Horvath's clock, although the direction of correlations was consistent with that determined using Li's clock. Smoking and drinking did not significantly affect DNA methylation AA; however, physical activity and intake of vegetables and fruits did, although the influence varied depending on the epigenetic clock. Our findings suggest that a healthy lifestyle may be an important way to delay aging and prevent age-related diseases.

Identifiants

pubmed: 34032609
pii: 203022
doi: 10.18632/aging.203022
pmc: PMC8202852
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Twin Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

14039-14052

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Auteurs

Hexiang Peng (H)

Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Wenjing Gao (W)

Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Weihua Cao (W)

Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Jun Lv (J)

Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Canqing Yu (C)

Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Tao Wu (T)

Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Shengfeng Wang (S)

Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Zengchang Pang (Z)

Qingdao Center for Disease Control and Prevention, Qingdao 266033, China.

Min Yu (M)

Zhejiang Center for Disease Control and Prevention, Hangzhou 310051, China.

Hua Wang (H)

Jiangsu Center for Disease Control and Prevention, Nanjing 210009, China.

Xianping Wu (X)

Sichuan Center for Disease Control and Prevention, Chengdu 610041, China.

Liming Li (L)

Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

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Classifications MeSH