Impact of Ethnicity on the Relationship Between Telomere Length and Metabolic Markers - a Multi-Ethnic Study from Kuwait.

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Tác giả: Jehad Abubaker, Mohamed Abu-Farha, Ahmed N Albatineh, Fahd Al-Mulla, Emil Anoop, Betty Chandy, Arshad Channanath, Motasem Melhem, Thangavel Alphonse Thanaraj

Ngôn ngữ: eng

Ký hiệu phân loại: 953.67 +Kuwait

Thông tin xuất bản: United States : The Journal of clinical endocrinology and metabolism , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 695201

OBJECTIVE: Telomere plays a critical role in maintaining genomic stability, and its length serves as a marker of cellular aging. Emerging evidence projects telomere length as a clinical risk factor for metabolic diseases. Our current study examines the associations between telomere length and demographic factors including metabolic health in a multi-ethnic cohort to provide insight into the impact of ethnicity on the potential use of telomere length as a biomarker for assessing diabetes risk. METHODS: The cross-sectional study cohort comprised 2,083 individuals of Arab, South Asian, or Southeast Asian descent living in Kuwait. Telomere lengths were measured from peripheral venous blood DNA using qPCR-based techniques. Associations between telomere length and metabolic indicators (including BMI, being diabetic, HbA1c, FBG, and HOMA-IR) were analyzed using Spearman correlation and quantile regression, adjusting for covariates. RESULTS: South Asian and Southeast Asian participants had significantly higher median telomere lengths than Arabs. Median telomere lengths varied significantly across sex, age tertiles, ethnicity, being diabetic, BMI, and HOMA-IR scores. Telomere length was negatively associated with being male (β=-0.49, 95% CI:[-0.85, -0.13]), diabetic (β=-0.77, 95% CI:[-1.25, -0.29]), age (β=-0.06, 95% CI:[-0.08, -0.04]), HOMA-IR (β=-1.01, 95% CI:[-1.43, -0.575]), BMI (β=-0.11, 95% CI:[-0.14, -0.083]), and HbA1c (β=-0.213, 95% CI:[-0.33, -0.096]). Negative correlations between telomere lengths and TG, HbA1c, FBG, insulin, and HOMA-IR levels were more highly significant in South Asians than in Arabs and Southeast Asians. CONCLUSION: Our study underlines the significant influence of ethnicity on the the interplay between telomere length and metabolic health, and emphasizes the need to incorporate ethnic background when relating telomere biology to metabolic disorders. It further highlights the potential to incorporate telomere length into clinical risk factors for diabetes.
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