Telomere Length in Metabolic Syndrome: Mechanisms, Epidemiology and Clinical Implications: A Narrative Review

Abstract: Metabolic syndrome (MetS) is a major and growing global public health challenge, affecting a substantial proportion of adults worldwide and contributing markedly to the rising burden of type 2 diabetes, cardiovascular disease, metabolic dysfunction-associated steatotic liver disease, and premature mortality. Despite its high prevalence and systemic consequences, the biological mechanisms linking chronic metabolic stress to cellular ageing remain incompletely resolved. Telomere length (TL), particularly leukocyte telomere length (LTL), has emerged as a candidate integrative biomarker of biological ageing, cumulative metabolic injury, and disease risk; however, the field remains limited by heterogeneous study designs, inconsistent measurement approaches, conflicting genetic data, and uncertainty regarding whether TL is merely a correlate of metabolic dysfunction or a clinically informative biomarker and mechanistic mediator. This narrative review synthesizes evidence on the epidemiology, mechanistic basis, and clinical implications of TL variation in obesity and MetS, with emphasis on human population studies. It specifically addresses the current gap between observational associations and biological interpretation by integrating epidemiological, longitudinal, mechanistic, and Mendelian randomization data within a unified framework. Across large cohorts and meta-analyses, MetS and several of its component traits are generally associated with shorter LTL. Shorter LTL in MetS appears to identify individuals at higher risk of adverse outcomes, including all-cause and cardiovascular mortality. Mechanistically, oxidative stress, chronic low-grade inflammation, mitochondrial dysfunction, hormonal perturbation, and genetic and epigenetic regulation of telomere-maintenance pathways emerge as interconnected drivers of accelerated telomere attrition and cellular senescence. Mendelian randomization studies indicate a more complex architecture, in which adiposity-related traits may causally shorten LTL, whereas genetically longer LTL may associate with selected adverse metabolic phenotypes, consistent with pleiotropy, tissue specificity, and pathway-dependent effects. This review collates the current evidence, highlights major research gaps, and outlines the methodological and biological advances needed to determine whether TL can serve as a clinically actionable biomarker or therapeutic target in MetS. Keywords: oxidative stress, chronic inflammation, insulin resistance, telomerase

Authors

Institutions

Publication Details

Journal
Diabetes Metabolic Syndrome and Obesity
Published
2026-05-01
DOI
https://doi.org/10.2147/dmso.s604828
Primary Topic
Telomeres, Telomerase, and Senescence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Telomere Length in Metabolic Syndrome: Mechanisms, Epidemiology and Clinical Implications: A Narrative Review

Kyle Cilia, Zachary Gauci, Stephen Fava, Rachel Agius et al.
Diabetes Metabolic Syndrome and Obesity
Telomeres, Telomerase, and Senescence
article

Telomere Length in Metabolic Syndrome: Mechanisms, Epidemiology and Clinical Implications: A Narrative Review

Kyle Cilia, Zachary Gauci, Stephen Fava, Rachel Agius, Nikolai Pace
article en

Abstract

Abstract: Metabolic syndrome (MetS) is a major and growing global public health challenge, affecting a substantial proportion of adults worldwide and contributing markedly to the rising burden of type 2 diabetes, cardiovascular disease, metabolic dysfunction-associated steatotic liver disease, and premature mortality. Despite its high prevalence and systemic consequences, the biological mechanisms linking chronic metabolic stress to cellular ageing remain incompletely resolved. Telomere length (TL), particularly leukocyte telomere length (LTL), has emerged as a candidate integrative biomarker of biological ageing, cumulative metabolic injury, and disease risk; however, the field remains limited by heterogeneous study designs, inconsistent measurement approaches, conflicting genetic data, and uncertainty regarding whether TL is merely a correlate of metabolic dysfunction or a clinically informative biomarker and mechanistic mediator. This narrative review synthesizes evidence on the epidemiology, mechanistic basis, and clinical implications of TL variation in obesity and MetS, with emphasis on human population studies. It specifically addresses the current gap between observational associations and biological interpretation by integrating epidemiological, longitudinal, mechanistic, and Mendelian randomization data within a unified framework. Across large cohorts and meta-analyses, MetS and several of its component traits are generally associated with shorter LTL. Shorter LTL in MetS appears to identify individuals at higher risk of adverse outcomes, including all-cause and cardiovascular mortality. Mechanistically, oxidative stress, chronic low-grade inflammation, mitochondrial dysfunction, hormonal perturbation, and genetic and epigenetic regulation of telomere-maintenance pathways emerge as interconnected drivers of accelerated telomere attrition and cellular senescence. Mendelian randomization studies indicate a more complex architecture, in which adiposity-related traits may causally shorten LTL, whereas genetically longer LTL may associate with selected adverse metabolic phenotypes, consistent with pleiotropy, tissue specificity, and pathway-dependent effects. This review collates the current evidence, highlights major research gaps, and outlines the methodological and biological advances needed to determine whether TL can serve as a clinically actionable biomarker or therapeutic target in MetS. Keywords: oxidative stress, chronic inflammation, insulin resistance, telomerase

Diabetes Metabolic Syndrome and ObesityVol. Volume 19
University of Malta (MT)
Good health and well-being
Openalex Percentile: Top 7%
Telomeres, Telomerase, and Senescence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.