Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
Otto Loewi Research Center (for Vascular Biology, Immunology and Inflammation), Medical University of Graz, Graz, Austria.
Clin Chem Lab Med. 2019 Aug 27;57(9):1358-1363. doi: 10.1515/cclm-2018-0801.
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.
超重和肥胖个体由于心血管疾病(CVD)、2 型糖尿病、中风和癌症而预期寿命缩短。全身性炎症和端粒提前缩短被认为是将这些情况联系起来的潜在机制。我们研究了皮下脂肪组织(SAT)分布与白细胞相对端粒长度(RTL)的关系。
我们使用基于 qPCR 的方法测量了观察性 STYJOBS/EDECTA 队列(ClinicalTrials.gov 标识符 NCT00482924)的 375 名参与者的 RTL。SAT 分布通过脂肪测量确定,得出体脂百分比值和整个身体 15 个标准化位置的 SAT 厚度。计算 RTL 与年龄、性别、脂肪测量数据和常规身体测量(BMI、腰围、臀围、腰臀比、腰高比)之间的相关性。通过逐步多元回归分析确定 RTL 的最强决定因素。
RTL 与年龄或性别无关。RTL 与 BMI、体脂百分比、腰围、臀围和腰高比呈显著负相关。此外,RTL 与以下部位的 SAT 相关:颈部、三头肌、二头肌、上背部、前胸、侧胸、上腹部、下腹部、下背部、臀部、前大腿、侧大腿、后大腿和小腿。逐步回归分析显示,颈部和臀部 SAT 是 RTL 的最强预测因子。RTL 与腰臀比之间没有显著关联。
RTL 与描述体脂成分的参数呈负相关。颈和臀部 SAT 厚度是 RTL 的最强预测因子。中心性肥胖似乎与过早的基因组衰老相关。