Elevated 1-Hour Post Load Glucose as a Predictor for Telomere Attrition: a study based on a Chinese Community population.

IF 5 2区医学 Q1 ENDOCRINOLOGY & METABOLISM

Journal of Clinical Endocrinology & Metabolism Pub Date : 2024-10-23 DOI:10.1210/clinem/dgae748

Qi Gao, Jie Yu, Yiwen Liu, Baodi Xing, Fan Ping, Lingling Xu, Wei Li, Huabing Zhang, Yuxiu Li

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引用次数: 0

Abstract

Context: 1-hour post-load glucose (1h-PG) detects dysglycemia-related disorders more effectively than traditional glycemic parameters. Hyperglycemia accelerates aging, whether 1h-PG outperforms in predicting aging remains unclear.

Objective: To Compare the effectiveness of 1h-PG with other glycemic parameters in identifying and predicting telomere attrition.

Methods: 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 non-diabetic and diabetic populations.

Results: The cross-sectional study included 715 participants. Only 1h-PG was significantly negatively associated with RTL in both non-diabetic (β = -0.106, 95%CI -0.068 to -0.007, P = 0.017) (odds ratio [OR] = 1.151, 95% CI 1.069 to 1.239, P = 0.005) and diabetic (β = -0.222, 95%CI -0.032 to -0.007, P = 0.002) (OR = 1.144, 95% CI 1.041 to 1.258, P = 0.035) populations. The longitudinal study recruited 437 populations and 112 remained in 7-years follow-up. 1h-PG was associated with telomere shortening in the non-diabetic group (β = -0.314, 95%CI -0.276 to -0.032, P = 0.016) (OR = 2.659, 95% CI 1.158 to 6.274, P = 0.021). 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.

Conclusions: 1h-PG outperforms other glycemic parameters in predicting telomere attrition and can be a valuable marker for early aging detection.

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负荷后 1 小时血糖升高是端粒损耗的预测因素：一项基于中国社区人群的研究。

背景：与传统血糖参数相比，负荷后 1 小时血糖（1h-PG）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胜一筹仍不清楚：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：我们在中国社区队列的基础上进行了一项横断面和纵向研究。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系。接受者操作特征曲线下面积（AUROC）用于比较区分和预测能力。根据糖耐量状态和 1h-PG 对人群进行重新分组，以比较端粒长度。对非糖尿病和糖尿病人群分别进行了分析：横断面研究包括 715 名参与者。在非糖尿病人群中，只有 1h-PG 与 RTL 呈显著负相关（β = -0.106，95%CI -0.068 至 -0.007，P = 0.017）（几率比 [OR] = 1.151, 95%CI 1.069 to 1.239, P = 0.005）和糖尿病（β = -0.222, 95%CI -0.032 to -0.007, P = 0.002）人群（OR = 1.144, 95%CI 1.041 to 1.258, P = 0.035）。该纵向研究共招募了 437 人，其中 112 人接受了 7 年的随访。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，1h-PG在识别和预测端粒损耗方面优于其他血糖参数。重新分类显示，1h-PG升高的正常糖耐量和糖尿病前期患者的端粒长度分别与糖尿病前期和糖尿病人群相当：1h-PG在预测端粒损耗方面优于其他血糖参数，可作为早期老化检测的重要标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Clinical Endocrinology & Metabolism 医学-内分泌学与代谢

CiteScore

11.40

自引率

5.20%

发文量

673

审稿时长

1 months

期刊介绍： The Journal of Clinical Endocrinology & Metabolism is the world"s leading peer-reviewed journal for endocrine clinical research and cutting edge clinical practice reviews. Each issue provides the latest in-depth coverage of new developments enhancing our understanding, diagnosis and treatment of endocrine and metabolic disorders. Regular features of special interest to endocrine consultants include clinical trials, clinical reviews, clinical practice guidelines, case seminars, and controversies in clinical endocrinology, as well as original reports of the most important advances in patient-oriented endocrine and metabolic research. According to the latest Thomson Reuters Journal Citation Report, JCE&M articles were cited 64,185 times in 2008.