Detalle Publicación

Body mass index is negatively associated with telomere length: a collaborative cross-sectional meta-analysis of 87 observational studies

Autores: Gielen, M. (Autor de correspondencia); Hageman, GJ.; Antoniou, EE.; Nordfjall, K.; Mangino, M.; Balasubramanyam, M.; de Meyer, T.; Hendricks, AE.; Giltay, EJ.; Hunt, SC.; Nettleton, JA.; Salpea, KD.; Diaz, VA.; Farzaneh-Far, R.; Atzmon, G.; Harris, SE.; Hou, L.; Gilley, D.; Hovatta, I.; Kark, JD.; Nassar, H.; Kurz, DJ.; Mather, KA.; Willeit, P.; Zheng, YL.; Pavanello, S.; Demerath, EW.; Rode, L.; Bunout, D.; Steptoe, A.; Boardman, L.; Martí del Moral, Amelia; Needham, B.; Zheng, W.; Ramsey-Goldman, R.; Pellatt, AJ.; Kaprio, J.; Hofmann, JN.; Gieger, C.; Paolisso, G.; Hjelmborg, JBH.; Mirabello, L.; Seeman, T.; Wong, J.; van der Harst, P.; Broer, L.; Kronenberg, F.; Kollerits, B.; Strandberg, T.; Eisenberg, DTA.
Título de la revista: AMERICAN JOURNAL OF CLINICAL NUTRITION
ISSN: 0002-9165
Volumen: 108
Número: 3
Páginas: 453 - 475
Fecha de publicación: 2018
Resumen:
Even before the onset of age-related diseases, obesity might be a contributing factor to the cumulative burden of oxidative stress and chronic inflammation throughout the life course. Obesity may therefore contribute to accelerated shortening of telomeres. Consequently, obese persons are more likely to have shorter telomeres, but the association between body mass index (BMI) and leukocyte telomere length (TL) might differ across the life span and between ethnicities and sexes. Objective: A collaborative cross-sectionalmeta-analysis of observational studies was conducted to investigate the associations between BMI and TL across the life span. Design: Eighty-seven distinct study samples were included in the meta-analysis capturing data from 146,114 individuals. Study-specific age-and sex-adjusted regression coefficients were combined by using a random-effects model in which absolute [base pairs (bp)] and relative telomere to single-copy gene ratio (T/S ratio) TLs were regressed against BMI. Stratified analysis was performed by 3 age categories ("young": 18-60 y; "middle": 61-75 y; and "old": > 75 y), sex, and ethnicity.