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2 型糖尿病中生物年龄增加的异质性与组织 DNA 甲基化、生物学变量和药物治疗的差异相关。

Heterogeneity of increased biological age in type 2 diabetes correlates with differential tissue DNA methylation, biological variables, and pharmacological treatments.

机构信息

Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.

University of Texas Rio Grande Valley School of Medicine, Edinburg, TX, USA.

出版信息

Geroscience. 2024 Apr;46(2):2441-2461. doi: 10.1007/s11357-023-01009-8. Epub 2023 Nov 21.

Abstract

Biological age (BA) closely depicts age-related changes at a cellular level. Type 2 diabetes mellitus (T2D) accelerates BA when calculated using clinical biomarkers, but there is a large spread in the magnitude of individuals' age acceleration in T2D suggesting additional factors contributing to BA. Additionally, it is unknown whether BA can be changed with treatment. We hypothesized that potential determinants of the heterogeneous BA distribution in T2D could be due to differential tissue aging as reflected at the DNA methylation (DNAm) level, or biological variables and their respective therapeutic treatments. Publicly available DNAm samples were obtained to calculate BA using the DNAm phenotypic age (DNAmPhenoAge) algorithm. DNAmPhenoAge showed age acceleration in T2D samples of whole blood, pancreatic islets, and liver, but not in adipose tissue or skeletal muscle. Analysis of genes associated with differentially methylated CpG sites found a significant correlation between eight individual CpG methylation sites and gene expression. Clinical biomarkers from participants in the NHANES 2017-2018 and ACCORD cohorts were used to calculate BA using the Klemera and Doubal (KDM) method. Cardiovascular and glycemic biomarkers associated with increased BA while intensive blood pressure and glycemic management reduced BA to CA levels, demonstrating that accelerated BA can be restored in the setting of T2D.

摘要

生物年龄 (BA) 密切描述了细胞水平上与年龄相关的变化。使用临床生物标志物计算时,2 型糖尿病 (T2D) 会加速 BA,但 T2D 中个体的年龄加速幅度差异很大,表明存在其他导致 BA 变化的因素。此外,尚不清楚 BA 是否可以通过治疗来改变。我们假设,T2D 中 BA 分布的异质性的潜在决定因素可能是由于组织衰老的差异,这种差异反映在 DNA 甲基化 (DNAm) 水平上,或者是由于生物学变量及其各自的治疗方法。我们获得了公开的 DNAm 样本,使用 DNAm 表型年龄 (DNAmPhenoAge) 算法计算 BA。DNAmPhenoAge 显示全血、胰岛和肝脏的 T2D 样本存在年龄加速,但脂肪组织和骨骼肌中不存在。对与差异甲基化 CpG 位点相关的基因进行分析,发现八个单独的 CpG 甲基化位点与基因表达之间存在显著相关性。使用 2017-2018 年 NHANES 和 ACCORD 队列参与者的临床生物标志物,使用 Klemera 和 Doubal (KDM) 方法计算 BA。心血管和血糖生物标志物与 BA 增加相关,而强化血压和血糖管理将 BA 降低到 CA 水平,表明在 T2D 环境中可以恢复加速的 BA。

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