Gao Qi, Yu Jie, Liu Yiwen, Xing Baodi, Ping Fan, Xu Lingling, Li Wei, Zhang Huabing, Li Yuxiu
Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Translation Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
J Clin Endocrinol Metab. 2025 Jun 17;110(7):e2285-e2297. doi: 10.1210/clinem/dgae748.
One-hour post-load glucose (1h-PG) detects dysglycemia-related disorders more effectively than traditional glycemic parameters. Hyperglycemia accelerates aging, but whether 1h-PG outperforms in predicting aging remains unclear.
To compare the effectiveness of 1h-PG with other glycemic parameters in identifying and predicting telomere attrition.
We conducted a cross-sectional and longitudinal study based on a Chinese community cohort. Multivariate linear regression and logistic regression were used to analyze the associations between glycemic parameters and telomere length. The area under the receiver operating characteristic (AUROC) curve were used to compare the differentiating and predictive ability. Populations were regrouped by glucose tolerance status and 1h-PG to compare telomere length. Analyses were separately conducted in nondiabetic and diabetic populations.
The cross-sectional study included 715 participants. Only 1h-PG was significantly negatively associated with relative telomere length in both nondiabetic [β = -.106, 95% confidence interval (CI) -0.068 to -0.007, P = .017] [odds ratio (OR) = 1.151, 95% CI 1.069 to 1.239, P = .005] and diabetic (β = -.222, 95% CI -0.032 to -0.007, P = .002) (OR = 1.144, 95% CI 1.041 to 1.258, P = .035) populations. The longitudinal study recruited 437 populations and 112 remained in 7-years follow-up. 1h-PG was associated with telomere shortening in the nondiabetic group (β = -.314, 95% CI -0.276 to -0.032, P = .016) (OR = 2.659, 95% CI 1.158 to 6.274, P = .021). AUROC analysis showed that 1h-PG outperformed other glycemic parameters in identifying and predicting telomere attrition. Reclassification revealed that normal glucose tolerance and prediabetic individuals with elevated 1h-PG had telomere lengths comparable to prediabetic and diabetic populations, respectively.
1h-PG outperforms other glycemic parameters in predicting telomere attrition and can be a valuable marker for early aging detection.
负荷后1小时血糖（1h-PG）比传统血糖参数能更有效地检测与血糖异常相关的疾病。高血糖会加速衰老，但1h-PG在预测衰老方面是否更具优势尚不清楚。
比较1h-PG与其他血糖参数在识别和预测端粒损耗方面的有效性。
我们基于一个中国社区队列进行了一项横断面和纵向研究。采用多元线性回归和逻辑回归分析血糖参数与端粒长度之间的关联。使用受试者工作特征（AUROC）曲线下面积来比较区分能力和预测能力。根据葡萄糖耐量状态和1h-PG对人群进行重新分组，以比较端粒长度。在非糖尿病和糖尿病患者人群中分别进行分析。
横断面研究纳入了715名参与者。在非糖尿病患者中[β = -0.106，95%置信区间（CI）-0.068至-0.007，P = 0.017] [比值比（OR）= 1.151，95% CI 1.069至1.239，P = 0.005]以及糖尿病患者中（β = -0.222，95% CI -0.032至-0.007，P = 0.002）（OR = 1.144，95% CI 1.041至1.258，P = 0.035），只有1h-PG与相对端粒长度显著负相关。纵向研究招募了437名参与者，7年随访后有112人仍在研究中。在非糖尿病组中，1h-PG与端粒缩短有关（β = -0.314，95% CI -0.276至-0.032，P = 0.016）（OR = 2.659，95% CI 1.158至6.274，P = 0.021）。AUROC分析表明，在识别和预测端粒损耗方面，1h-PG优于其他血糖参数。重新分类显示，葡萄糖耐量正常且1h-PG升高的糖尿病前期个体的端粒长度分别与糖尿病前期和糖尿病患者人群相当。
在预测端粒损耗方面，1h-PG优于其他血糖参数，可作为早期衰老检测的重要标志物。
Zotero 插件
