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Adipose tissue density, a novel biomarker predicting mortality risk in older adults

机译:脂肪组织密度,一种预测老年人死亡风险的新型生物标志物

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Background. Knowledge of adipose composition in relation to mortality may help delineate inconsistent relationships between obesity and mortality in old age. We evaluated relationships between abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) density, mortality, biomarkers, and characteristics. Methods. VAT and SAT density were determined from computed tomography scans in persons aged 65 and older, Health ABC (n = 2,735) and AGES-Reykjavik (n = 5,131), and 24 nonhuman primates (NHPs). Associations between adipose density and mortality (4-13 years follow-up) were assessed with Cox proportional hazards models. In NHPs, adipose density was related to serum markers and tissue characteristics. Results .Higher density adipose tissue was associated with mortality in both studies with adjustment for risk factors including adipose area, total fat, and body mass index. In women, hazard ratio and 95% CI for the densest quintile (Q5) versus least dense (Q1) for VAT density were 1.95 (1.36-2.80; Health ABC) and 1.88 (1.31-2.69; AGES-Reykjavik) and for SAT density, 1.76 (1.35-2.28; Health ABC) and 1.56 (1.15-2.11; AGES-Reykjavik). In men, VAT density was associated with mortality in Health ABC, 1.52 (1.12-2.08), whereas SAT density was associated with mortality in both Health ABC, 1.58 (1.21-2.07), and AGES-Reykjavik, 1.43 (1.07-1.91). Higher density adipose tissue was associated with smaller adipocytes in NHPs. There were no consistent associations with inflammation in any group. Higher density adipose tissue was associated with lower serum leptin in Health ABC and NHPs, lower leptin mRNA expression in NHPs, and higher serum adiponectin in Health ABC and NHPs. Conclusion. VAT and SAT density provide a unique marker of mortality risk that does not appear to be inflammation related.
机译:背景。了解与死亡率有关的脂肪成分可能有助于描绘肥胖与老年死亡率之间不一致的关系。我们评估了腹部内脏脂肪组织(VAT)与皮下脂肪组织(SAT)的密度,死亡率,生物标志物和特征之间的关系。方法。通过对65岁及65岁以上的老年人,Health ABC(n = 2,735)和AGES-Reykjavik(n = 5,131)以及24个非人类灵长类动物(NHP)进行计算机断层扫描,可以确定VAT和SAT密度。用Cox比例风险模型评估了脂肪密度与死亡率之间的关联(4-13年随访)。在NHP中,脂肪密度与血清标志物和组织特征有关。结果:在两项研究中,较高密度的脂肪组织与死亡率相关,并调整了包括脂肪面积,总脂肪和体重指数在内的危险因素。在女性中,VAT密度最高的五分位数(Q5)与最低密度的(Q1)的危险比和95%CI分别为1.95(1.36-2.80; Health ABC)和1.88(1.31-2.69; AGES-Reykjavik)以及SAT密度,1.76(1.35-2.28; Health ABC)和1.56(1.15-2.11; AGES-Reykjavik)。在男性中,增值税密度与卫生ABC的死亡率相关,为1.52(1.12-2.08),而SAT密度与卫生ABC的死亡率为1.58(1.21-2.07)和AGES-雷克雅未克,死亡率为1.43(1.07-1.91) 。在NHP中,较高密度的脂肪组织与较小的脂肪细胞有关。在任何组中都没有与炎症的一致关联。较高密度的脂肪组织与健康ABC和NHP中较低的血清瘦素相关,在NHP中较低的瘦素mRNA表达,以及健康ABC和NHP中较高的血清脂联素相关。结论。 VAT和SAT密度提供了似乎与炎症无关的死亡风险的独特标记。

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