Why the study?
Overweight and obesity reduce life expectancy via CVD, diabetes, stroke, and cancer, with premature telomere shortening discussed as a potential linking mechanism, prompting investigation into how subcutaneous adipose tissue distribution relates to telomere length.
Does subcutaneous adipose tissue distribution correlate with leukocyte relative telomere length?
Does subcutaneous adipose tissue distribution correlate with leukocyte relative telomere length?
Central obesity and specific subcutaneous adipose tissue distributions (nuchal and hip) are negatively associated with leukocyte telomere length, suggesting a link to premature genomic aging.
Central SAT distribution may mark accelerated genomic aging; leaves open whether nuchal/hip depots causally influence telomere attrition.
Background Overweight and obese individuals have a reduced life expectancy due to cardiovascular disease (CVD), type 2 diabetes, stroke and cancer. Systemic inflammation and premature telomere shortening have been discussed as potential mechanisms linking these conditions. We investigated the relation of subcutaneous adipose tissue (SAT) distribution to leukocyte relative telomere length (RTL). Methods We measured RTL in 375 participants of the observational STYJOBS/EDECTA cohort (ClinicalTrials.gov Identifier NCT00482924) using a qPCR based method. SAT distribution was determined by lipometry yielding a percent body fat value and SAT thicknesses at 15 standardized locations across the entire body. A correlation analysis between RTL, age, sex, lipometry data and conventional body measures (body mass index [BMI], waist-, hip circumference, waist-to-hip ratio, waist-to-height ratio) was calculated. The strongest determinants of RTL were determined by a stepwise multiple regression analysis. Results RTL was not associated with age or sex. RTL was significantly negatively correlated with BMI, percent body fat, waist-, hip circumference and waist-to-height ratio. Furthermore, RTL correlated with SAT at the following locations: neck, triceps, biceps, upper back, front chest, lateral chest, upper abdomen, lower abdomen, lower back, hip, front thigh, lateral thigh, rear thigh and calf. Stepwise regression analysis revealed nuchal and hip SAT as the strongest predictors of RTL. No significant association was seen between RTL and waist-to-hip ratio. Conclusions RTL is negatively associated with parameters describing body fat composure. Nuchal and hip SAT thicknesses are the strongest predictors of RTL. Central obesity appears to correlate with premature genomic aging.
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Mangge et al. (2019) studied this question.
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