Evidence map›Paper›PMID 39441032›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Elevated 1-hour Post Load Glucose as a Predictor for Telomere Attrition: A Study Based on a Chinese Community Population.

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

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Qi GaoDepartment 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.ORCID 0009-0009-0963-5567
Jie YuDepartment 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.ORCID 0000-0002-7887-7780
Yiwen LiuDepartment 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.ORCID 0000-0002-7982-7996
Baodi XingDepartment 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.
Fan PingDepartment 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.ORCID 0000-0001-7650-6612
Lingling XuDepartment 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.ORCID 0000-0003-1341-4141
Wei LiDepartment 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.ORCID 0000-0002-3332-1287
Huabing ZhangDepartment 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.ORCID 0000-0001-6259-7584
Yuxiu LiDepartment 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.ORCID 0000-0001-7500-0855

Funding

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-002CAMS Innovation Fund for Medical Sciences 2023-I2M-C&T-B-043National High Level Hospital Clinical Research Funding 2022-PUMCH-B-015CAMSNational Natural Science Foundation of China 82100947
6 · The paper itself

Abstract

contextOne-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.

objectiveTo compare the effectiveness of 1h-PG with other glycemic parameters in identifying and predicting telomere attrition.

methodsWe 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.

resultsThe 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.

conclusion1h-PG outperforms other glycemic parameters in predicting telomere attrition and can be a valuable marker for early aging detection.

Indexed as

Blood GlucoseHyperglycemiaTelomereTelomere ShorteningAdultAgedAgingChinaCross-Sectional StudiesEast Asian PeopleFemaleFollow-Up StudiesGlucose Tolerance TestHumansLongitudinal StudiesMaleBlood Glucose1-hour post-load plasma glucoseagingglycemic parametersleukocyte telomere lengthtelomere attrition

Identifiers

PMID39441032
PMCPMC12187187

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.