Back to Journals » Diabetes, Metabolic Syndrome and Obesity » Volume 19
Telomere Length in Metabolic Syndrome: Mechanisms, Epidemiology and Clinical Implications: A Narrative Review
Authors Cilia K
, Gauci Z, Agius R, Fava S, Pace NP
Received 26 February 2026
Accepted for publication 17 April 2026
Published 8 May 2026 Volume 2026:19 604828
DOI https://doi.org/10.2147/DMSO.S604828
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Jae Woong Sull
Kyle Cilia,1 Zachary Gauci,1 Rachel Agius,1 Stephen Fava,1 Nikolai P Pace2,3
1Department of Medicine, University of Malta, Msida, Malta; 2Department of Anatomy, University of Malta, Msida, Malta; 3Centre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta
Correspondence: Kyle Cilia, Department of Medicine, University of Malta, Msida, Malta, Email [email protected]
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
Introduction
The prevalence of metabolic syndrome (MetS) has risen in parallel with the global obesity epidemic, contributing substantially to the burden of type 2 diabetes mellitus (T2DM), cardiovascular disease (CVD) and premature mortality.1 Recent Global Burden of Disease analyses underscore the scale of this problem, showing rising exposure to all major metabolic risk factors with particularly concerning increases in the burden attributable to high fasting plasma glucose and high body-mass index.2 Traditionally, obesity has been defined by body mass index (BMI), yet this metric fails to account for variations in fat distribution and metabolic health status, thereby limiting its utility for precise cardiometabolic risk assessment.3,4
In recent years, TL has gained attention as a biomarker of biological aging and a potential link between metabolic health and cellular senescence. Telomeres, repetitive deoxyribonucleic acid (DNA) protein complexes at chromosome ends, progressively shorten with each cell division, and their attrition is accelerated by oxidative stress, chronic low-grade inflammation and metabolic dysregulation. Observational and meta-analytic studies increasingly suggest that both obesity and MetS are associated with shorter LTL, although some genetic and longitudinal evidence indicates more complex, possibly bidirectional, relationships.4
Despite growing interest, the mechanistic pathways connecting adiposity, insulin resistance, dyslipidaemia, hypertension and hyperglycaemia to telomere dynamics remain incompletely understood. This narrative review collates current evidence on the interplay between telomere biology and MetS, integrating epidemiological findings with insights into oxidative, inflammatory, hormonal, and mitochondrial mechanisms. Additionally, it explores how lifestyle and pharmacological interventions may preserve telomere integrity, with implications for cardiometabolic risk stratification and targeted therapeutic strategies.
A comprehensive literature search of PubMed and Google Scholar was conducted, encompassing original research, meta-analyses and systematic reviews.
Obesity and Metabolic Syndrome
Body mass index (BMI) remains the most widely applied metric for defining obesity. Although useful as a population-scale measure, BMI is an imperfect surrogate of cardiometabolic risk because it does not distinguish fat from lean mass or capture fat distribution patterns. The limitations of BMI, the concept of obesity phenotyping, and definitions of metabolic health across weight categories (including metabolically healthy obesity and metabolically unhealthy normal weight) have been reviewed previously.3
These considerations are directly relevant to metabolic syndrome (MetS) - a cluster of interrelated cardiometabolic abnormalities commonly defined by NCEP-ATP III as the presence of at least three of the following: central obesity, hypertriglyceridaemia, low HDL cholesterol, elevated blood pressure, and impaired fasting glucose. MetS substantially increases the risk of type 2 diabetes, cardiovascular disease, metabolic dysfunction-associated steatotic liver disease (MASLD), and premature mortality.4 Its pathobiology is driven by excess visceral adiposity and insulin resistance, which promote chronic low-grade inflammation, oxidative stress, endothelial dysfunction, and atherogenic dyslipidaemia.5 Additional contributors include ectopic fat deposition, neurohormonal activation and vascular remodelling further amplify metabolic and cardiovascular risk. Thus, MetS is best understood as a systemic metabolic derangement rather than a set of isolated abnormalities.
Importantly, the inflammatory and oxidative stress pathways that underpin MetS are also implicated in accelerated biological ageing, including telomere attrition. Against this background, this narrative review aims to synthesise current mechanistic, epidemiologic, and clinical evidence linking telomere biology to MetS, and to evaluate the potential utility and limitations of telomere length as a biomarker in cardiometabolic disease. These issues are clinically applicable as they impact on risk stratification, disease progression, and the development of biologically informed preventive and therapeutic strategies.
Telomere Biology
Structure and Function of Telomeres
Telomeres are repetitive DNA-protein complexes located at the ends of chromosomes, consisting of more than 2000 tandem repeats of the non-coding double-stranded DNA sequence “TTAGGG” and a single-stranded guanine-rich overhang.6–8 They preserve genomic stability by preventing recognition of chromosome ends as DNA damage and by protecting against end-to-end fusions.9 Telomeres also participate in signalling pathways that regulate cellular proliferation, effectively acting as a “biological clock” that limits the replicative potential of somatic cells.10–12
Telomere structure is maintained by specialized protein assemblies, primarily the shelterin complex and the CTC1-STN1-TEN1 (CST) complex.12–15 A six-protein shelterin complex (TRF1, TRF2, POT1, TIN2, TPP1, RAP1) binds telomeres and regulates telomerase, thereby preserving telomere stability.10
TRF1 negatively regulates TL by inhibiting telomerase activity,12–15 whereas TRF2 prevents end-to-end fusions and supports cell cycle progression. POT1 binds the single-stranded overhang, protecting it from degradation and inappropriate DNA repair.16–20 RAP1, in association with TRF2, contributes both to telomere protection and transcriptional regulation.21,22 TIN2 links double-stranded and single-stranded telomeric DNA-binding proteins, coordinating complex stability.16 TPP1 interacts with POT1 and TIN2, enhancing telomerase recruitment and processivity.23–25
The CST complex, composed of 3 subunits: conserved telomere protection component 1 (CTC1), suppressor of cdc thirteen 1 (STN1), and telomeric pathway with STN1 (TEN1), facilitates replication of telomeric DNA and complements telomerase function by ensuring proper synthesis of the complementary C-rich strand.15,26–28 CTC1 and STN1 can limit telomerase-mediated overextension, acting as a length-regulation checkpoint, while TEN1 supports replication restart and telomere stability.29–31
Without these protective complexes, chromosome ends may be misidentified as DNA breaks, triggering inappropriate repair processes and genomic instability. TL is thus a key determinant of cellular senescence, aging and age-related disease susceptibility. Shortened TL has been associated with cancer, cardiovascular disease, and metabolic disorders, including obesity and MetS. Advances in TL measurement, particularly quantitative polymerase chain reaction (qPCR), have enabled large-scale epidemiological studies to explore these associations with high reproducibility and sensitivity.32,33
In summary, telomere maintenance relies on the intricate interplay between telomerase, shelterin and CST complexes, which collectively safeguard chromosomal stability and cellular longevity. This delicate equilibrium is highly vulnerable to systemic metabolic disturbances. Persistent exposure to metabolic stressors common in MetS and obesity, such as chronic inflammation, oxidative stress, hormonal dysregulation and mitochondrial impairment, can perturb telomere homeostasis by amplifying oxidative damage, suppressing telomerase activity and altering the expression of telomere-protective proteins. These cumulative insults may precipitate premature telomere shortening and genomic instability, forming a mechanistic bridge between molecular telomere biology and the clinical manifestations of metabolic syndrome explored in the subsequent section.
Telomeres, Metabolic Syndrome and Its Components
Evidence from large cohorts, meta-analyses and genetic studies consistently links telomere shortening with metabolic syndrome (MetS). A summary of the principal epidemiological and longitudinal studies linking telomere length with metabolic syndrome and related cardiometabolic traits is provided in Table 1. In a 17-year NHANES cohort limited to individuals with MetS, Xiong et al reported that participants with the shortest leukocyte telomere length (LTL) had significantly higher all-cause and cardiovascular mortality compared with those in the longest LTL tertile, suggesting telomere shortening within MetS may reflect adverse prognosis rather than being an incidental finding.34 Prospective data from Révész et al supported a temporal link, showing that shorter baseline LTL was associated with less favourable metabolic profiles and that worsening MetS components over six years correlated with accelerated telomere attrition.35 A 2024 meta-analysis by Al-Hawary et al confirmed that MetS is generally associated with shorter LTL, while acknowledging heterogeneity across studies due to varying measurement techniques, populations and MetS definitions.36.
|
Table 1 Key Epidemiological and Longitudinal Studies Linking Telomere Length with Metabolic Syndrome and Related Cardiometabolic Phenotypes |
Phenotype-level analyses emphasize that metabolic dysfunction rather than obesity itself drives telomere shortening. Molli et al showed that metabolically healthy obese women had longer telomeres compared to obese women with MetS and LTL declined in parallel with the number of metabolic abnormalities.39
In the LIPIDOGEN2015 cohort, Banach et al observed shorter LTL in metabolically unhealthy participants, obese or non-obese, but these associations were attenuated when adjusted for age, sex, lifestyle, and comorbidities.41 Cheng et al reported that increasing numbers of MetS components were more strongly associated with shorter LTL in women than men, suggesting sex-specific telomere-metabolic dynamics.40
Mendelian randomization (MR) adds complexity to the picture, reflecting a shift from purely observational associations toward a more nuanced understanding of causality in telomere - metabolic interactions. Over the past decade, evidence has evolved from cross-sectional correlations to genetic approaches that infer directionality and pleiotropy. Paradoxically, MR studies have revealed that genetically longer LTL can sometimes associate with adverse metabolic traits such as higher blood pressure or central adiposity, suggesting that telomere-lengthening mechanisms may exert tissue-specific or compensatory effects rather than universal protection.
Loh et al showed that genetically longer LTL was associated with higher waist-to-hip ratio (adjusted for BMI), elevated blood pressure and increased odds of MetS, suggesting pleiotropy in telomere-lengthening pathways that may elevate cardiometabolic risk.45 Similarly, Codd et al reported that longer genetically predicted LTL was linked to higher blood pressure,46 reinforcing the notion that the relationship between LTL and cardiometabolic traits is complex and may differ according to underlying genetic pathways or tissue context. In contrast, Li et al showed that higher genetically predicted BMI causally shortens LTL and accelerates epigenetic aging, supporting adiposity’s causal role in telomere attrition.47 Yang et al reported complex relations: longer telomeres associated with higher triglycerides, while higher LDL-C and apolipoprotein B predicted longer LTL, likely reflecting mediation via adiposity or inflammation.48
These MR findings highlight the importance of investigating cell-type specificity in telomere-metabolic pathways, particularly within metabolically active tissues such as adipose, hepatic, and pancreatic cells, rather than relying solely on leukocyte measurements. Furthermore, future research should include long-term randomized controlled trials with LTL as a predefined endpoint of lifestyle or pharmacological interventions to determine whether telomere preservation directly mediates metabolic improvement and to clarify the contradictory results arising from genetic pleiotropy.
Multiple components of metabolic syndrome, particularly central adiposity, hyperglycaemia/insulin resistance and hypertension, demonstrate consistent inverse associations with LTL across observational studies35,37,38,40,49. Evidence from MR analyses further supports a potential causal role for blood pressure regulation in LTL variation.37,46 In contrast, associations between dyslipidaemia and LTL remain inconsistent, with discordant findings reported across both observational and genetic studies.41,48,50
Notably, lifestyle factors also intersect with telomere dynamics. Cherkas et al showed that in over 2400 adult twins, greater leisure-time physical activity was associated with longer LTL by approximately 200 nucleotides (equivalent to ~10 years of biological age), independent of BMI, smoking, socioeconomic status and activity at work. Even among twin pairs discordant for activity level, the more active twin had longer telomeres.42 This highlights that behaviour and fitness level may influence or offset the telomere-shortening effects of metabolic syndrome.
From Association to Mechanism – Linking Telomere Shortening, MetS and Obesity
The mechanistic pathways linking MetS and obesity to telomere shortening are multifactorial, interdependent and biologically complex, involving chronic systemic inflammation, oxidative stress, mitochondrial dysfunction, hormonal imbalances and genetic as well as epigenetic regulatory mechanisms. These factors act both independently and synergistically to promote telomere attrition, accelerate biological aging, and drive metabolic deterioration (Figure 1).
Importantly, these processes are not discrete but form a tightly interconnected network of mutual reinforcement. Inflammation stimulates reactive oxygen species (ROS) generation through cytokine-driven activation of NADPH oxidase, while oxidative stress in turn amplifies inflammatory signaling via redox-sensitive transcription factors such as NF-κB. Both oxidative and inflammatory stress impair mitochondrial function, leading to reduced ATP production and further ROS leakage from the electron transport chain. This establishes a self-perpetuating feedback loop in which mitochondrial dysfunction, oxidative stress and inflammation continuously amplify one another, collectively accelerating telomere attrition and cellular senescence in MetS.
MetS is characterized by a pro-inflammatory and pro-thrombotic state and is associated with increased risk of cognitive decline, frailty, type 2 diabetes (T2DM), cardiovascular disease and certain cancers, with oxidative stress (OxS) playing a central role in its pathophysiology.51,52 While both aging and MetS increase OxS, the imbalance induced by MetS is often more pronounced, as each component; central obesity, dyslipidemia, hypertension, and hyperglycemia, contributes to a pro-oxidative milieu.53–55 A cumulative association between the number of MetS components and OxS levels has been reported, suggesting a dose-response relationship.56 The causal relationship between OxS and MetS remains debated, but it is hypothesized that a bidirectional interaction exists.56
Oxidative Stress and Telomere Damage
Oxidative stress (OxS) in MetS arises from impaired antioxidant defenses and increased pro-oxidant activity. Elevated hydrogen peroxide (H2O2) downregulates superoxide dismutase (SOD) expression while stimulating interleukin-1β (IL-1β) production in peripheral mononuclear cells.57 Excess transition metals such as iron and copper exacerbate oxidative injury and are linked to obesity, hypertriglyceridemia, low HDL, hypertension and hyperglycemia.58,59
MetS is associated with elevated free radical production, mitochondrial dysfunction, and oxidative damage to DNA (8-oxodG), lipids (prostaglandin F2α, malondialdehyde, 4-hydroxynonenal), proteins (carbonylated proteins), LDL and carbohydrates (glyoxal, methylglyoxal).60–65 This is compounded by reduced levels of vitamins C, E, carotenoids,66,67 glutathione (GSH) and diminished activities of SOD, glutathione peroxidase (GPx) and catalase (CAT).68,69 Telomeres, due to their guanine-rich sequences, are particularly susceptible to ROS-mediated damage and repeated oxidative insults impair telomerase activity, accelerating attrition.43,44
Adipose tissue dysfunction enhances mitochondrial ROS production, driven partly by nicotinamide adenine dinucleotide phosphate (NADPH) oxidase activation.6,70 Increased adiposity elevates lipid peroxidation markers such as 8-epi-prostaglandin F2α (8-epi-PGF2α), which contribute to insulin resistance. Transcriptional repression of shelterin complex components further disrupts telomere stability.71
The effects of MetS may extend across generations. In a 10-year follow-up, McAninch et al reported shorter telomeres in offspring of mothers with MetS, potentially predisposing them to chronic disease and higher mortality.72,73
Some studies have paradoxically observed elevated telomerase activity in MetS,74,75 possibly as a compensatory response to oxidative injury, although this may still promote senescence. MetS has also been linked to increased cancer mortality in women (colorectal, breast) and higher incidence of pancreatic cancer and Hodgkin’s lymphoma in men,76,77 suggesting shared oxidative and telomere-related pathways.
Chronic Inflammation
Chronic low-grade inflammation in obesity is a key driver of telomere attrition. Visceral adipose tissue functions as an active endocrine and immune organ, secreting pro-inflammatory cytokines such as TNF-α, IL-6 and C-reactive protein (CRP), which accelerate telomere shortening via increased immune cell turnover and direct DNA damage.78
Chronic inflammation may both cause and be exacerbated by telomere dysfunction. For instance, inflammatory cytokines activate nuclear factor kappa B (NF-κB), which can alter telomerase reverse transcriptase (TERT) gene79 activity; conversely, telomere-binding proteins like RAP1 influence NF-κB signaling, creating a feedback loop between telomere integrity and inflammatory pathways.80–83
Insulin Resistance, Hormonal Imbalance and Metabolic Dysregulation
MetS is characterised by interconnected metabolic and hormonal perturbations that converge on shared pathways driving telomere attrition. Central to this process is insulin resistance, a core feature of obesity and MetS, which promotes sustained hyperglycaemia, hyperinsulinaemia, endothelial dysfunction, and mitochondrial stress, thereby accelerating telomere erosion.78
Chronic dysglycaemia is associated with increased oxidative stress, reflected by elevated triglycerides, LDL-C, malondialdehyde, and oxidative DNA damage markers such as 8-hydroxy-2′-deoxyguanosine, alongside reduced antioxidant enzyme activity.84 Telomeric DNA, enriched in guanine residues, is particularly vulnerable to oxidative damage.
Oxidative stress also mechanistically links metabolic dysregulation with hypertension, acting through redox-sensitive vascular signalling, increased superoxide (O2●−) production, angiotensin II activation, and endothelin-mediated vasoconstriction.85,86 These shared pathways reinforce the overlap between cardiometabolic dysfunction and telomere shortening.
Hormonal abnormalities further modulate telomere biology. Reduced growth hormone secretion in obesity impairs lipolysis, antioxidant capacity, and telomere maintenance, contributing to increased cardiometabolic risk.87,88 Insulin-like growth factor-1 exhibits context-dependent effects, with chronic elevation potentially promoting telomere attrition, while reduced levels in advanced obesity may impair tissue repair.89 Elevated fibroblast growth factor-21 reflects target-tissue resistance, attenuating its mitochondrial-protective and telomerase-supporting actions.90,91
Together, these data support a unifying model in which insulin resistance, oxidative stress, vascular dysfunction, and hormonal dysregulation act synergistically to accelerate telomere shortening in MetS.
Genetic and Epigenetic Regulation
TL is influenced by genetic loci identified in genome-wide association studies (GWAS), including telomerase RNA component (TERC), TERT and Oligonucleotide/Oligosaccharide-Binding Fold Containing 1 (OBFC), which encode components of the telomerase complex and telomere-stabilising proteins.92 Epigenetic mechanisms, such as subtelomeric DNA methylation, histone modifications, and non-coding RNA regulation further modulate telomerase accessibility and shelterin function. Dysregulation of these processes may link environmental and metabolic stress to premature telomere shortening.93
Importantly, genetic predisposition may confound observed associations between LTL and metabolic syndrome, while metabolically driven epigenetic alterations provide a plausible mechanism through which environmental exposures characteristic of MetS accelerate telomere attrition, reinforcing the interaction between inherited susceptibility and metabolic stress.
Mitochondrial Dysfunction and Cellular Senescence
Mitochondria are essential for cell survival, primarily through ATP production via the electron transport chain, during which reactive oxygen species (ROS), including superoxide radicals (O2●−) are inevitably generated. This ROS production predominantly occurs at complexes I (NADH ubiquinone oxidoreductase) and III (ubiquinol-cytochrome c oxidoreductase) of the mitochondrial inner membrane.94
Under normal physiological conditions, ROS function as secondary messengers in various signaling pathways that regulate homeostasis, growth and development in aerobic organisms. However, oxidative stress (OxS) arises when there is an imbalance between ROS production and antioxidant defenses, with ROS levels exceeding the capacity of antioxidant systems.6
During electron transport, O2●− generated by the mitochondria can react with transition metals such as Fe3⁺ to form hydrogen peroxide (H2O2). Together, O2●− and H2O2 can produce hydroxyl radicals (●OH) through Fenton and Haber-Weiss reactions.95
Highly reactive species such as ●OH and singlet oxygen (1O2) can damage DNA, forming adducts like thymine glycol and 8-hydroxy-2’-deoxyguanosine (8-OHdG). The ●OH radical reacts with the C8 position of guanine to form 8-OHdG, which can further undergo keto-enol tautomerism to form 8-oxo-7,8-dihydro-2’-deoxyguanosine (8-oxodG), which is considered the most abundant oxidative injury96,97 (Figure 2).
Beyond inflammation and oxidative stress, mitochondrial dysfunction, often observed in obese and insulin-resistant individuals, also contributes to telomere damage. Damaged mitochondria release excessive ROS and activate pro-apoptotic and senescence pathways, which in turn impair telomerase function and cellular repair capacity. Telomere shortening itself may trigger DNA damage responses (DDR), leading to cell cycle arrest, senescence or apoptosis, especially in metabolically active tissues such as liver, adipose and muscle. This may contribute to organ-level metabolic dysfunction and the progression of MetS.74,98
Dietary Effects on Telomere Length and Interacting Metabolic Pathways
Nutritional patterns play a pivotal role in modulating TL through their influence on oxidative stress, inflammation, metabolic regulation and adiposity. Emerging evidence indicates that certain dietary profiles, particularly those rich in antioxidants, anti-inflammatory nutrients and phytochemicals, are associated with longer telomeres and delayed cellular aging.
Mediterranean Diet and Telomere Maintenance
The Mediterranean diet (MedDiet), characterized by high consumption of fruits, vegetables, legumes, whole grains, olive oil and fish, has been consistently associated with reduced telomere attrition.99 This dietary pattern provides omega-3 fatty acids, polyphenols and vitamins C and E, which mitigate reactive oxygen species (ROS) production and systemic inflammation, both key mediators of telomere shortening.
A systematic review and meta-analysis by Canudas et al (2020) pooled data from eight cross-sectional studies (n≈13,733) across five countries and found that MedDiet adherence correlates with lower insulin resistance and improved lipid profiles, which may further preserve LTL by reducing metabolic stress.99 This suggests that anti-inflammatory and antioxidant components of the diet may mediate telomere protection.
Plant-Based Diets, Micronutrients and Telomere Health
Crous-Bou et al (2019) compiled evidence that plant-rich dietary patterns, rich in antioxidants like carotenoids, flavonoids and vitamins, are plausibly linked to longer telomeres via reduced oxidative stress and inflammation.100
Micronutrients such as magnesium, selenium, folate and zinc, along with vitamin D, contribute to genomic stability and DNA repair, potentially safeguarding telomeres from accelerated erosion.100
Importantly, plant-rich diets are also associated with lower BMI and visceral fat, both of which are independent predictors of telomere attrition. Visceral adiposity, through its pro-inflammatory and lipotoxic effects, enhances immune cell turnover and telomere damage, underscoring the importance of maintaining a healthy weight through dietary means.100
Oxidative Balance, Diet and Telomere Length
The Oxidative Balance Score (OBS), a composite index reflecting dietary and lifestyle factors that influence oxidative stress, has been proposed as a valuable measure for evaluating redox status. Higher OBS, reflecting greater antioxidant intake and lower pro-oxidant exposure (eg, saturated fats, processed meats).101
Zhang et al used the Oxidative Balance Score (OBS) and found that higher OBS was positively associated with longer LTL in women in the NHANES 1999–2002 cohort.101 This supports the hypothesis that diets rich in natural antioxidants can offset oxidative telomeric damage and promote genomic stability.
Furthermore, it was demonstrated that individuals with both poor oxidative balance and metabolic dysfunction, including dysglycemia and obesity, had the shortest telomeres, suggesting that the interplay between diet quality and metabolic status is critical in telomere biology.101
Dietary Patterns, Metabolism and Inflammation: A Vicious Cycle
Paul (2011) emphasized that diets high in refined carbohydrates, saturated fats and ultra-processed foods can accelerate telomere shortening through mechanisms involving insulin resistance, inflammation and oxidative stress; conversely, dietary restriction and low-glycaemic diets may enhance telomerase activity and slow telomere attrition.102 Moreover, exercise synergizes with diet in modulating telomere biology. Physical activity enhances mitochondrial function, reduces adipose inflammation and improves insulin sensitivity, all factors that mitigate oxidative and inflammatory stress. Thus, diet and exercise together exert compounding benefits, especially when targeting central obesity and dysglycemia.101,102.
Overall, dietary composition modulates oxidative stress and inflammation, both of which are shaped by, and in turn influence, adiposity and glucose homeostasis. Poor diet combined with sedentary behavior facilitates visceral fat accumulation, insulin resistance and increased oxidative burden, accelerating LTL loss. In contrast, antioxidant-rich, plant-based dietary patterns, particularly when coupled with regular physical activity, support LTL preservation and may delay the onset of metabolic diseases and age-related decline99−102 (Figure 3).
Clinical Implications and Therapeutic Strategies
The recognition that telomere shortening is intricately linked to the pathophysiology of metabolic syndrome (MetS) and obesity carries important clinical implications. Telomere attrition not only reflects cumulative metabolic and oxidative stress but may also serve as an early biomarker for biological aging, cardiometabolic risk stratification and therapeutic response monitoring. While routine LTL testing in clinical care remains limited by assay variability and the need for longitudinal validation, LTL may serve as an adjunct biomarker for identifying individuals at higher risk of MetS-related complications and for monitoring intervention responses.
Lifestyle interventions have the strongest evidence for modulating telomere biology. Beyond the metabolic benefits already discussed, adherence to antioxidant-rich dietary patterns such as the Mediterranean diet is positively associated with LTL, as shown in a meta-analysis of ~13,700 participants by Canudas et al, where higher MedDiet adherence correlated with longer telomeres, particularly in women.99 Plant-forward diets rich in anti-inflammatory nutrients show similar associations,100 while higher Oxidative Balance Scores (OBS) are linked to longer LTL in population cohorts, with the shortest telomeres observed in those with poor oxidative balance and metabolic dysfunction.101
Physical activity exerts synergistic effects with diet on telomere protection. In a large twin cohort, by Cherkas et al, greater leisure-time activity was linked to longer LTL.42 Comprehensive programs combining diet, exercise, stress management and social support increased telomerase activity at 3 months and were associated with relative telomere lengthening at 5 years.103,104 A 3-year lifestyle trial using an energy-reduced Mediterranean diet plus physical activity slowed telomere shortening in older adults.105
Weight-loss interventions, including bariatric surgery, have also shown LTL increases in prospective cohorts106 and modest gains in randomized trials.107
Pharmacologic strategies that improve metabolic health may have indirect benefits on telomere dynamics. Statins have been linked to changes in telomerase activity and telomere damage markers in cardiometabolic risk groups.108,109 Metformin shows telomere-stabilizing effects in preclinical vascular aging models.110 Mitochondria-targeted antioxidants such as MitoQ have counteracted telomere shortening and extended fibroblast lifespan under oxidative stress in vitro,111 though human evidence is lacking.
Although direct human data are limited, preclinical and cellular evidence indicates that glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may indirectly protect telomeres by mitigating oxidative stress, suppressing inflammation, and delaying cellular senescence. As reviewed by Peng et al, GLP-1 RAs enhance antioxidant capacity, downregulate pro-inflammatory cytokines and activate DNA-repair pathways, collectively supporting genomic stability and potentially slowing telomere attrition.112 In a non-human primate model, adolescent plasma GLP-1 levels positively predicted adult LTL, suggesting an adaptive mechanism during development.113 In human retinal endothelial cells exposed to hyperglycemia, liraglutide increased telomerase activity, upregulated SIRT1 and reduced the expression of senescence markers p53 and p21.114 Experimentally, GLP-1 RA exenatide enhanced DNA base-excision repair via upregulation of APE1 and improved cellular resilience through Sirtuin-1, PPARγ and PGC-1α pathways.115
While these findings are biologically compelling, they remain scientifically plausible rather than clinically actionable. The available evidence for a direct telomere-preserving effect of GLP-1 RAs or other pharmacologic agents, including metformin, statins, and mitochondria-targeted antioxidants, is confined to experimental and animal studies. Robust human trials confirming causality or clinical benefit are still lacking. Thus, these agents should be viewed as potential modulators of telomere biology rather than established therapeutic tools.
In contrast, lifestyle modification remains the only strategy with consistent, direct human evidence for influencing LTL. Adherence to antioxidant-rich dietary patterns such as the Mediterranean diet, regular physical activity, sustained weight reduction and stress-management practices have been reproducibly associated with slower telomere attrition or even length maintenance across prospective cohorts and randomized lifestyle interventions.42,103–105 Beyond telomere effects, these behaviours confer well-validated cardiometabolic benefits, underscoring their primacy in prevention and treatment of MetS.
From a translational perspective, significant barriers prevent routine clinical use of LTL measurement. Common assays, including quantitative PCR, flow-FISH, and Southern blot, show inter-laboratory variability and lack harmonized reference standards. The absence of population-specific cut-offs defining “short” telomeres, together with assay cost and limited availability, restricts clinical feasibility. Moreover, LTL is not yet a validated therapeutic target; interventions cannot presently be titrated or monitored based on telomere dynamics. Accordingly, LTL should be regarded as a promising research biomarker reflecting cumulative metabolic and oxidative stress, rather than a diagnostic or treatment endpoint.
Continued methodological standardization, inclusion of telomere metrics as prespecified outcomes in long-term randomized trials and deeper exploration of tissue-specific telomere biology will be essential to clarify whether telomere preservation directly mediates cardiometabolic benefit and to determine when, if ever, LTL assessment will become clinically actionable.
Conclusions, Implications for Practice, and Directions for Future Research
MetS is increasingly recognized not only as a cluster of cardiometabolic risk factors but also as a state of accelerated biological ageing. The evidence reviewed here indicates that shorter LTL is broadly associated with MetS and several of its major components. These associations are supported by substantial observational and meta-analytic evidence, while mechanistic studies provide biological plausibility through convergent roles for oxidative stress, chronic low-grade inflammation, mitochondrial dysfunction, hormonal perturbation, and dysregulation of telomere-maintenance pathways. MR studies also indicate that the relationship is not uniformly linear and may be influenced by pleiotropy, pathway-specific effects, and tissue context, underscoring that telomere biology in MetS is more complex than a simple model of progressive shortening alone.
This synthesis has important implications for current understanding of the field. First, it supports the view that telomere dynamics may reflect the cumulative burden of metabolic and inflammatory stress rather than serving merely as a passive marker of chronological ageing. Second, it suggests that metabolic dysfunction, rather than obesity in isolation, may be the more biologically relevant determinant of telomere attrition, helping to refine interpretation of heterogeneous findings across obesity and MetS phenotypes. Third, it places telomere biology within a broader pathophysiological framework linking adiposity, dysglycaemia, vascular dysfunction, oxidative injury, and cellular senescence. In this sense, telomere length may be better conceptualized at present as an integrative biomarker of systemic metabolic stress than as a standalone mechanistic endpoint.
From a clinical perspective, however, the current evidence does not support routine use of LTL measurement in the diagnosis, prognostication, or treatment monitoring of MetS. Major barriers remain, including inter-assay variability, lack of harmonized methodology, uncertain comparability across laboratories, absence of validated population-specific thresholds, and limited understanding of how leukocyte-based measurements relate to telomere dynamics in metabolically active tissues. Furthermore, although shorter LTL has been associated with adverse outcomes within MetS, it has not yet been established that measuring telomere length adds clinically meaningful predictive value beyond conventional risk factors or that modifying telomere dynamics directly improves patient outcomes. Accordingly, LTL should currently be regarded as a promising research biomarker rather than a clinically actionable test.
Nonetheless, the reviewed evidence is relevant to practice in a broader translational sense. The literature consistently indicates that adverse telomere profiles cluster with central adiposity, insulin resistance, chronic inflammation, oxidative stress, and sedentary behaviour, reinforcing the concept that chronic metabolic dysfunction exerts cumulative biological damage extending beyond traditional biochemical endpoints. In contrast, lifestyle modification remains the intervention domain with the strongest human evidence for favourable telomere associations. Mediterranean and plant-rich dietary patterns, improved oxidative balance, regular physical activity, sustained weight reduction, and multidomain lifestyle interventions have all been associated with longer LTL or slower telomere attrition. While these findings do not justify telomere-guided clinical decision-making, they strengthen the rationale for intensive lifestyle-based prevention and management of MetS and support the broader principle that interventions targeting metabolic health may also mitigate cellular ageing processes.
The review also highlights several priorities for future research. Standardization of telomere length measurement and reporting should be a major methodological priority, including improved assay harmonization, quality control, and clearer guidance on interpretation of effect sizes across platforms. Large prospective studies with repeated telomere measurements are needed to clarify temporality and to determine whether telomere shortening precedes metabolic deterioration, accompanies it, or reflects its cumulative consequences. Future work should also move beyond leukocyte-based analyses wherever feasible and investigate telomere dynamics in adipose tissue, liver, skeletal muscle, pancreas, and vascular tissues, where metabolic dysfunction is biologically expressed more directly. Better phenotypic resolution will be equally important, particularly in distinguishing metabolically healthy from metabolically unhealthy obesity, characterizing visceral and ectopic adiposity more precisely, and integrating inflammatory and endocrine profiles into analyses of telomere dynamics.
Randomized controlled trials should prospectively incorporate telomere endpoints when evaluating lifestyle and pharmacological interventions relevant to MetS. Although several agents, including metformin, statins, glucagon-like peptide-1 receptor agonists, and mitochondria-targeted antioxidants, show biologically plausible telomere-related effects in experimental systems, robust human evidence remains insufficient. Prospective trials are therefore needed not only to assess whether such interventions influence telomere dynamics, but also to establish whether any telomere-related changes correspond to meaningful metabolic or vascular benefit. Finally, integrative studies combining deep phenotyping with genomics, epigenomics, transcriptomics, and functional experimentation will be required to resolve the apparent contradictions in MR findings and to determine whether telomere biology can improve causal inference, risk stratification, or therapeutic target discovery in MetS.
Data Sharing Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Author Contributions
Kyle Cilia: Conceptualization, Methodology, Writing – original draft. Zachary Gauci: Conceptualization, Methodology, Writing – original draft. Rachel Agius: Conceptualization, Writing - review and editing, Supervision. Stephen Fava: Conceptualization, Writing - review and editing, Supervision. Nikolai P Pace: Writing - review and editing, Visualization, Supervision, Project administration. All authors gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
Funding
There is no funding to report.
Disclosure
The authors report no conflicts of interest in this work.
References
1. World Health Organization. Obesity and overweight fact sheet. 2021. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
2. Malekpour MR, Abbasi-Kangevari M, Ghamari SH, et al. The burden of metabolic risk factors in North Africa and the Middle East, 1990-2019: findings from the Global Burden of Disease Study. EClinicalMedicine. 2023;60:102022. doi:10.1016/j.eclinm.2023.102022
3. Agius R, Pace NP, Fava S. Phenotyping obesity: a focus on metabolically healthy obesity and metabolically unhealthy normal weight. Diabetes Metab Res Rev. 2024;40(2):e3725. doi:10.1002/dmrr.3725
4. Abdeldyem SM, Goda T, Khodeir SA, Abou Saif S, Abd-Elsalam S. Nonalcoholic fatty liver disease in patients with acute ischemic stroke is associated with more severe stroke and worse outcome. J Clin Lipidol. 2017;11(4):915–16. doi:10.1016/j.jacl.2017.04.115
5. Neeland IJ, Ross R, Després JP. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. Lancet Diabetes Endocrinol. 2019;7(9):715–725. doi:10.1016/S2213-8587(19)30084-1
6. Gavia-García G, Rosado-Pérez J, Arista-Ugalde TL, et al. Telomere length and oxidative stress and its relation with metabolic syndrome components in the aging. Biology. 2021;10(4):253. doi:10.3390/biology10040253
7. Blackburn EH. Structure and function of telomeres. Nature. 1991;350(6319):569–573. doi:10.1038/350569a0
8. Shay JW. Telomeres and aging. Curr Opin Cell Biol. 2018;52:1–7. doi:10.1016/j.ceb.2017.12.001
9. Prasad KN, Wu M, Bondy SC. Telomere shortening during aging: attenuation by antioxidants and anti-inflammatory agents. Mech Ageing Dev. 2017;164:61–66. doi:10.1016/j.mad.2017.04.004
10. Xin H, Liu D, Songyang Z. The telosome/shelterin complex and its functions. Genome Biol. 2008;9(9):232. doi:10.1186/gb-2008-9-9-232
11. Shammas MA. Telomeres, lifestyle, cancer, and aging. Curr Opin Clin Nutr Metab Care. 2011;14(1):28–34. doi:10.1097/MCO.0b013e32834121b1
12. Rubtsova MP, Vasilkova DP, Malyavko AN, Naraikina YV, Zvereva MI, Dontsova OA. Telomere lengthening and other functions of telomerase. Acta Naturae. 2012;4(2):44–61.
13. Palm W, De Lange T. How shelterin protects mammalian telomeres. Annu Rev Genet. 2008;42:301–334. doi:10.1146/annurev.genet.41.110306.130350
14. Chen LY, Redon S, Lingner J. The human CST complex is a terminator of telomerase activity. Nature. 2012;488(7412):540–544. doi:10.1038/nature11269
15. Van Steensel B, de Lange T. Control of telomere length by the human telomeric protein TRF1. Nature. 1997;385(6618):740–743. doi:10.1038/385740a0
16. Ye JZ, Donigian JR, Van Overbeek M, et al. TIN2 binds TRF1 and TRF2 simultaneously and stabilizes the TRF2 complex on telomeres. J Biol Chem. 2004;279(45):47264–47271. doi:10.1074/jbc.M408465200
17. Hanaoka S, Nagadoi A, Nishimura Y. Comparison between TRF2 and TRF1 of their telomeric DNA-bound structures and DNA-binding activities. Protein Sci. 2005;14(1):119–130. doi:10.1110/ps.041010405
18. Stansel RM, de Lange T, Griffith JD. T-loop assembly in vitro involves binding of TRF2 near the 3’ telomeric overhang. EMBO J. 2001;20(19):5532–5540. doi:10.1093/emboj/20.19.5532
19. Baumann P, Cech TR. Pot1, the putative telomere end-binding protein in fission yeast and humans. Science. 2001;292(5519):1171–1175. doi:10.1126/science.1060036
20. Baumann P, Price C. Pot1 and telomere maintenance. FEBS Lett. 2010;584(17):3779–3784. doi:10.1016/j.febslet.2010.05.024
21. Gilson E, Gasser SM. Repressor activator protein 1 and its ligands: organising chromatin domains. Nucleic Acids Mol Biol. 1995;9:308–327.
22. Wang F, Podell ER, Zaug AJ, et al. The POT1-TPP1 telomere complex is a telomerase processivity factor. Nature. 2007;445:506–510. doi:10.1038/nature05454
23. Liu D, Safari A, O’Connor MS, et al. PTOP interacts with POT1 and regulates its localization to telomeres. Nat Cell Biol. 2004;6(7):673–680. doi:10.1038/ncb1142
24. Bisht K, Smith EM, Tesmer VM, Nandakumar J. Structural and functional consequences of a disease mutation in the telomere protein TPP1. Proc Natl Acad Sci U S A. 2016;113(46):13021–13026. doi:10.1073/pnas.1612698113
25. Nandakumar J, Bell CF, Weidenfeld I, et al. The TEL patch of telomere protein TPP1 mediates telomerase recruitment and processivity. Nature. 2012;492(7428):285–289. doi:10.1038/nature11648
26. Toussaint M, Dionne I, Wellinger RJ. Limited TTP supply affects telomere length regulation in a telomerase-independent fashion. Nucleic Acids Res. 2005;33(2):704–713. doi:10.1093/nar/gki219
27. Huang C, Jia P, Chastain M, Shiva O, Chai W. The human CTC1/STN1/TEN1 complex regulates telomere maintenance in ALT cancer cells. Exp Cell Res. 2017;355(2):95–104. doi:10.1016/j.yexcr.2017.04.005
28. Stewart JA, Wang F, Chaiken MF, et al. Human CST promotes telomere duplex replication and general replication restart after fork stalling. EMBO J. 2012;31(17):3537–3549. doi:10.1038/emboj.2012.215
29. Grossi S, Puglisi A, Dmitriev PV, Lopes M, Shore D. Pol12, the B subunit of DNA polymerase α, functions in both telomere capping and length regulation. Genes Dev. 2004;18(9):992–1006. doi:10.1101/gad.295204
30. Feng X, Hsu SJ, Bhattacharjee A, Wang Y, Diao J, Price CM. CTC1-STN1 terminates telomerase while STN1-TEN1 enables C-strand synthesis during telomere replication in colon cancer cells. Nat Commun. 2018;9(1):2827. doi:10.1038/s41467-018-05267-2
31. Bryan C, Rice C, Harkisheimer M, Schultz DC, Skordalakes E. Structure of the human telomeric Stn1-Ten1 capping complex. PLoS One. 2013;8(6):e66756. doi:10.1371/journal.pone.0066756
32. Lin J, Epel E, Blackburn E. Telomeres and lifestyle factors: roles in cellular aging. Mutat Res. 2011;730(1–2):85–89. doi:10.1016/j.mrfmmm.2011.08.003
33. Cawthon RM. Telomere measurement by quantitative PCR. Nucleic Acids Res. 2002;30(10):e47. doi:10.1093/nar/30.10.e47
34. Xiong L, Yang G, Guo T, et al. 17-year follow-up of association between telomere length and all-cause and cardiovascular mortality in individuals with metabolic syndrome: NHANES cohort. Diabetol Metab Syndr. 2023;15:247. doi:10.1186/s13098-023-01206-7
35. Révész D, Milaneschi Y, Verhoeven JE, Lin J, Penninx BW. Longitudinal associations between metabolic syndrome components and telomere shortening. J Clin Endocrinol Metab. 2015;100(8):3050–3059. doi:10.1210/JC.2015-1995
36. Al-Hawary SIS, Alzahrani A, Maabreh GH, et al. The association of metabolic syndrome with telomere length as a marker of cellular aging: a systematic review and meta-analysis. Front Genet. 2024;15:1390198. doi:10.3389/fgene.2024.1390198
37. Demissie S, Levy D, Benjamin EJ, et al. Insulin resistance, oxidative stress, hypertension, and leukocyte telomere length in men from the Framingham Heart Study. Aging Cell. 2006;5(4):325–330. doi:10.1111/j.1474-9726.2006.00234.x
38. Nordfjäll K, Eliasson M, Stegmayr B, et al. Increased abdominal obesity, adverse psychosocial factors and shorter telomere length in subjects reporting early ageing; the MONICA Northern Sweden Study. Scand J Public Health. 2008;36(7):744–752. doi:10.1177/1403494808090637
39. Iglesias Molli AE, Panero J, Dos Santos PC, et al. Metabolically healthy obese women have longer telomere length than obese women with metabolic syndrome. PLoS One. 2017;12(4):e0174945. doi:10.1371/journal.pone.0174945
40. Cheng YY, Kao TW, Chang YW, et al. Examining the gender difference in the association between metabolic syndrome and mean leukocyte telomere length. PLoS One. 2017;12(7):e0180687. doi:10.1371/journal.pone.0180687
41. Banach M, Fronczek M, Goc A, et al. Telomere length across the spectrum of metabolic health—analysis from the LIPIDOGEN2015 study. Arch Med Sci. 2024. doi:10.5114/aoms/195465
42. Cherkas LF, Hunkin JL, Kato BS, et al. The association between physical activity in leisure time and leukocyte telomere length. Arch Intern Med. 2008;168(2):154–158. doi:10.1001/archinternmed.2007.39
43. Verhulst S, Dalgård C, Labat C, et al. A short leucocyte telomere length is associated with development of insulin resistance. Diabetologia. 2016;59(6):1258–1265. doi:10.1007/s00125-016-3915-6
44. Gardner JP, Li S, Srinivasan SR, et al. Rise in insulin resistance is associated with escalated telomere attrition. Circulation. 2005;111(17):2171–2177. doi:10.1161/01.CIR.0000163550.70487.0B
45. Loh NY, Hall MA, Willenbrock H, et al. Telomere length and metabolic syndrome traits: a Mendelian randomization study. Aging Cell. 2021;20(10):e13445. doi:10.1111/acel.13445
46. Codd V, Wang Q, Allara E, et al. Polygenic basis and biomedical consequences of telomere length variation. Nat Genet. 2021;53(10):1425–1433. doi:10.1038/s41588-021-00944-6
47. Li J, Wang W, Yang Z, et al. Causal association of obesity with epigenetic aging and telomere length: a bidirectional mendelian randomization study. Lipids Health Dis. 2024;23(1):78. doi:10.1186/s12944-024-02042-y
48. Yang S, Gao X, Xie B, et al. The association between telomere length and blood lipids: a bidirectional two-sample Mendelian randomization study. Front Genet. 2024;15:1413929. doi:10.3389/fgene.2024.1413929
49. Buxton JL, Walters RG, Visvikis-Siest S, et al. Childhood obesity and DNA methylation: association with leukocyte telomere length. Eur J Hum Genet. 2011;19(8):879–884. doi:10.1038/ejhg.2011.47
50. Rehkopf DH, Needham BL, Lin J, et al. Leukocyte telomere length in relation to 17 biomarkers of cardiovascular disease risk: a cross-sectional study of US adults. PLoS Med. 2016;13(11):e1002188. doi:10.1371/journal.pmed.1002188
51. Lin F, Roiland R, Chen DG, Qiu C. Linking cognition and frailty in middle and old age: metabolic syndrome matters. Int J Geriatr Psychiatry. 2015;30(1):64–71. doi:10.1002/gps.4115
52. Bonomini F, Rodella LF, Rezzani R. Metabolic syndrome, aging and involvement of oxidative stress. Aging Dis. 2015;6(2):109–120. doi:10.14336/AD.2014.0305
53. Hopps E, Noto D, Caimi G, Averna MR. A novel component of the metabolic syndrome: the oxidative stress. Nutr Metab Cardiovasc Dis. 2010;20(1):72–77. doi:10.1016/j.numecd.2009.06.002
54. Avelar TM, Storch AS, Castro LA, et al. Oxidative stress in the pathophysiology of metabolic syndrome: which mechanisms are involved? J Bras Patol Med Lab. 2015. doi:10.5935/1676-2444.20150039
55. Bakhtiari A, Hajian-Tilaki K, Omidvar S, Nasiri Amiri F. Association of lipid peroxidation and antioxidant status with metabolic syndrome in Iranian healthy elderly women. Biomed Rep. 2017;7(4):331–336. doi:10.3892/br.2017.969
56. Carrier A. Metabolic syndrome and oxidative stress: a complex relationship. Antioxid Redox Signal. 2017;26(9):429–431. doi:10.1089/ars.2016.7016
57. Busquets-Cortés C, Capó X, Argelich E, et al. Effects of millimolar steady-state hydrogen peroxide exposure on inflammatory and redox gene expression in immune cells from humans with metabolic syndrome. Nutrients. 2018;10(12):1920. doi:10.3390/nu10121920
58. Halle M, König D, Berg A, Keul J, Baumstark MW. Relationship of serum ferritin concentrations with metabolic cardiovascular risk factors in men without evidence for coronary artery disease. Atherosclerosis. 1997;128(2):235–240. doi:10.1016/S0021-9150(96)06031-0
59. Lee DH, Kang SK, Choi WJ, et al. Association between serum ferritin and hypertension according to the working type in Korean men: The Fifth Korean National Health and Nutrition Examination Survey 2010-2012. Ann Occup Environ Med. 2018;30:1–7. doi:10.1186/s40557-018-0226-y
60. Sankhla M, Sharma TK, Mathur K, et al. Relationship of oxidative stress with obesity and its role in obesity induced metabolic syndrome. Clin Lab. 2012;58(5–6):385–392.
61. Fujita K, Nishizawa H, Funahashi T, Shimomura I, Shimabukuro M. Systemic oxidative stress is associated with visceral fat accumulation and the metabolic syndrome. Circ J. 2006;70(11):1437–1442. doi:10.1253/circj.70.1437
62. Holvoet P, Keyzer DD, Jacobs DR Jr. Oxidized LDL and the metabolic syndrome. Future Lipidol. 2008;3(6):637–649. doi:10.2217/17460875.3.6.637
63. Mattson MP. Roles of the lipid peroxidation product 4-hydroxynonenal in obesity, the metabolic syndrome, and associated vascular and neurodegenerative disorders. Exp Gerontol. 2009;44(10):625–633. doi:10.1016/j.exger.2009.07.003
64. Cai W, Uribarri J, Zhu L, et al. Oral glycotoxins are a modifiable cause of dementia and the metabolic syndrome in mice and humans. Proc Natl Acad Sci U S A. 2014;111(13):4940–4945. doi:10.1073/pnas.1316013111
65. Vona R, Gambardella L, Cittadini C, Straface E, Pietraforte D. Biomarkers of oxidative stress in metabolic syndrome and associated diseases. Oxid Med Cell Longev. 2019;2019:8267234. doi:10.1155/2019/8267234
66. Sharma P, Mishra S, Ajmera P, Mathur S. Oxidative stress in metabolic syndrome. Indian J Clin Biochem. 2005;20(1):145–149. doi:10.1007/BF02867410
67. Chen SJ, Yen CH, Huang YC, Lee BJ, Hsia S, Lin PT. Relationships between inflammation, adiponectin, and oxidative stress in metabolic syndrome. PLoS One. 2012;7(9):e45693. doi:10.1371/journal.pone.0045693
68. Tian R, Zhang LN, Zhang TT, et al. Association between oxidative stress and peripheral leukocyte telomere length in patients with premature coronary artery disease. Med Sci Monit. 2017;23:4382–4390. doi:10.12659/MSM.904517
69. Skalicky J, Muzakova V, Kandar R, Meloun M, Rousar T, Palicka V. Evaluation of oxidative stress and inflammation in obese adults with metabolic syndrome. Clin Chem Lab Med. 2008;46(4):499–505. doi:10.1515/CCLM.2008.090
70. Furukawa S, Fujita T, Shimabukuro M, et al. Increased oxidative stress in obesity and its impact on metabolic syndrome. J Clin Invest. 2017;114(12):1752–1761. doi:10.1172/JCI21625
71. Urakawa H, Katsuki A, Sumida Y, et al. Oxidative stress is associated with adiposity and insulin resistance in men. J Clin Endocrinol Metab. 2003;88(10):4673–4676. doi:10.1210/jc.2003-030202
72. Galiè S, Canudas S, Muralidharan J, García-Gavilán J, Bulló M, Salas-Salvadó J. Impact of nutrition on telomere health: systematic review of observational cohort studies and randomized clinical trials. Adv. Nutr. 2020;11:576–601.
73. McAninch D, Bianco-Miotto T, Gatford KL, et al. The metabolic syndrome in pregnancy and its association with child telomere length. Diabetologia. 2020;63(10):2140–2149. doi:10.1007/s00125-020-05242-0
74. Gavia-García G, Rosado-Pérez J, Aguiñiga-Sánchez I, Santiago-Osorio E, Mendoza-Núñez VM. Effect of Sechium edule var. nigrum spinosum (Chayote) on telomerase levels and antioxidant capacity in older adults with metabolic syndrome. Antioxidants. 2020;9(7):634.
75. Rentoukas E, Tsarouhas K, Kaplanis I, et al. Connection between telomerase activity in PBMC and markers of inflammation and endothelial dysfunction in patients with metabolic syndrome. PLoS One. 2012;7(4):e35739. doi:10.1371/journal.pone.0035739
76. Bjørge T, Lukanova A, Jonsson H, et al. Metabolic syndrome and breast cancer in the Me-Can (Metabolic Syndrome and Cancer) project. Cancer Epidemiol Biomarkers Prev. 2010;19(7):1737–1745. doi:10.1158/1055-9965.EPI-10-0068
77. Russo A, Autelitano M, Bisanti L. Metabolic syndrome and cancer risk. Eur J Cancer. 2008;44(2):293–297. doi:10.1016/j.ejca.2007.11.005
78. Monickaraj F, Aravind S, Gokulakrishnan K, et al. Accelerated aging as evidenced by increased telomere shortening and mitochondrial DNA depletion in patients with type 2 diabetes. Mol Cell Biochem. 2012;365(1–2):343–350. doi:10.1007/s11010-012-1276-0
79. Wang JC, Bennett MR. Nuclear factor-κB-mediated regulation of telomerase: the Myc link. Arterioscler Thromb Vasc Biol. 2010;30(12):2327–2328. doi:10.1161/ATVBAHA.110.216937
80. Geng H, Wittwer T, Dittrich-Breiholz O, Kracht M, Schmitz ML. Phosphorylation of NF-κB p65 at Ser468 controls its COMMD1-dependent ubiquitination and target gene-specific proteasomal elimination. EMBO Rep. 2009;10(4):381–386. doi:10.1038/embor.2009.12
81. Mattiussi M, Tilman G, Lenglez S, Decottignies A. Human telomerase represses ROS-dependent cellular responses to tumor necrosis factor-α without affecting NF-κB activation. Cell Signal. 2012;24(3):708–717. doi:10.1016/j.cellsig.2011.11.021
82. Teo H, Ghosh S, Luesch H, et al. Telomere-independent Rap1 is an IKK adaptor and regulates NF-κB-dependent gene expression. Nat Cell Biol. 2010;12(8):758–767. doi:10.1038/ncb2080
83. Minamino T, Orimo M, Shimizu I, et al. A crucial role for adipose tissue p53 in the regulation of insulin resistance. Nat Med. 2009;15(9):1082–1087. doi:10.1038/nm.2014
84. Al-Aubaidy HA, Jelinek HF. Oxidative stress and triglycerides as predictors of subclinical atherosclerosis in prediabetes. Redox Rep. 2014;19(2):87–91. doi:10.1179/1351000213Y.0000000080de
85. Champlain J, Wu R, Girouard H, et al. Oxidative stress in hypertension. Clin Exp Hypertens. 2004;26(7–8):593–601. doi:10.1081/CEH-200031904
86. Amponsah-Offeh M, Diaba-Nuhoho P, Speier S, Morawietz H. Oxidative stress, antioxidants and hypertension. Antioxidants. 2023;12(2):281. doi:10.3390/antiox12020281
87. Kaplan RC, Fitzpatrick AL, Pollak MN, et al. Insulin-like growth factors and leukocyte telomere length: the cardiovascular health study. J Gerontol a Biol Sci Med Sci. 2009;64(11):1103–1106. doi:10.1093/gerona/glp036
88. Strazhesko ID, Tkacheva ON, Akasheva DU, et al. Growth hormone, insulin-like growth factor-1, insulin resistance, and leukocyte telomere length as determinants of arterial aging in subjects free of cardiovascular diseases. Front Genet. 2017;8:198. doi:10.3389/fgene.2017.00198
89. Aulinas A, Ramírez MJ, Barahona MJ, et al. Telomeres and endocrine dysfunction of the adrenal and GH/IGF-1 axes. Clin Endocrinol. 2013;79(5):751–759. doi:10.1111/cen.12310
90. Gliniak CM, Gordillo R, Youm YH, et al. FGF21 promotes longevity in diet-induced obesity through metabolic benefits independent of growth suppression. Cell Metab. 2025;37(7):1547–1567.e6. doi:10.1016/j.cmet.2025.05.011
91. Yan J, Nie Y, Cao J, et al. The roles and pharmacological effects of FGF21 in preventing aging-associated metabolic diseases. Front Cardiovasc Med. 2021;8:655575. doi:10.3389/fcvm.2021.655575
92. Li C, Stoma S, Lotta LA, et al. Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length. Am J Hum Genet. 2020;106(3):389–404. doi:10.1016/j.ajhg.2020.02.006
93. Blasco MA. Telomeres and human disease: ageing, cancer and beyond. Nat Rev Genet. 2005;6(8):611–622. doi:10.1038/nrg1656
94. Koju N, Taleb A, Zhou J, et al. Pharmacological strategies to lower crosstalk between nicotinamide adenine dinucleotide phosphate (NADPH) oxidase and mitochondria. Biomed Pharmacother. 2019;111:1478–1498. doi:10.1016/j.biopha.2018.11.128
95. Kehrer J. The Haber-Weiss reaction and mechanism of toxicity. Toxicology. 2000;149(1):43–50. doi:10.1016/S0300-483X(00)00231-6
96. Fouquerel E, Barnes RP, Uttam S, et al. Targeted and persistent 8-oxoguanine base damage at telomeres promotes telomere loss and crisis. Mol Cell. 2019;75(1):117–130.e6. doi:10.1016/j.molcel.2019.05.006
97. Lindahl T, Barnes DE. Repair of endogenous DNA damage. Cold Spring Harb Symp Quant Biol. 2000;65:127–134. doi:10.1101/sqb.2000.65.127
98. Sahin E, DePinho RA. Linking functional decline of telomeres, mitochondria and stem cells during ageing. Nature. 2010;464(7288):520–528. doi:10.1038/nature08982
99. Canudas S, Becerra-Tomás N, Hernández-Alonso P, et al. Mediterranean diet and telomere length: a systematic review and meta-analysis. Adv Nutr. 2020;11(6):1544–1554. doi:10.1093/advances/nmaa079
100. Crous-Bou M, Molinuevo J-L, Sala-Vila A. Plant-rich dietary patterns, plant foods and nutrients, and telomere length. Adv Nutr. 2019;10(Suppl_4):S296–S303. doi:10.1093/advances/nmz026
101. Zhang W, Peng S-F, Chen L, Chen H-M, Cheng X-E, Tang Y-H. Association between the oxidative balance score and telomere length from the national health and nutrition examination survey 1999-2002. Oxid Med Cell Longev. 2022;2022(1):1345071. doi:10.1155/2022/1345071
102. Paul L. Diet, nutrition and telomere length. J Nutr Biochem. 2011;22(10):895–901. doi:10.1016/j.jnutbio.2010.12.001
103. Ornish D, Lin J, Daubenmier J, et al. Increased telomerase activity and comprehensive lifestyle changes: a pilot study. Lancet Oncol. 2008;9(11):1048–1057. doi:10.1016/S1470-2045(08)70234-1
104. Ornish D, Lin J, Chan JM, et al. Effect of comprehensive lifestyle changes on telomerase activity and telomere length in men with biopsy-proven low-risk prostate cancer: 5-year follow-up of a descriptive pilot study. Lancet Oncol. 2013;14(11):1112–1120. doi:10.1016/S1470-2045(13)70366-8
105. Marti A, Fernández de la Puente M, Canudas S, et al. Effect of a 3-year lifestyle intervention on telomere length in participants from PREDIMED-Plus: a randomized trial. Clin Nutr. 2023;42(9):1581–1587. doi:10.1016/j.clnu.2023.06.030
106. Laimer M, Melmer A, Lamina C, et al. Telomere length increase after weight loss induced by bariatric surgery: results from a 10 year prospective study. Int J Obes. 2016;40(5):773–778. doi:10.1038/ijo.2015.238
107. Sanft T, Usiskin I, Harrigan M, et al. Randomized controlled trial of weight loss versus usual care on telomere length in women with breast cancer: the lifestyle, exercise, and nutrition (LEAN) study. Breast Cancer Res Treat. 2018;172(1):105–112. doi:10.1007/s10549-018-4895-7
108. Strazhesko ID, Tkacheva ON, Akasheva DU, et al. Atorvastatin therapy modulates telomerase activity in patients free of atherosclerotic cardiovascular diseases. Front Pharmacol. 2016;7:347. doi:10.3389/fphar.2016.00347
109. Nose D, Shiga Y, Takahashi RU, et al. Association between telomere G-Tail length and coronary artery disease or statin treatment in patients with cardiovascular risks - A cross-sectional study. Circ Rep. 2023;5(8):338–347. doi:10.1253/circrep.CR-23-0038
110. Sung JY, Kim SG, Park SY, Kim JR, Choi HC. Telomere stabilization by metformin mitigates the progression of atherosclerosis via the AMPK-dependent p-PGC-1α pathway. Exp Mol Med. 2024;56(9):1967–1979. doi:10.1038/s12276-024-01297-w
111. Saretzki G, Murphy MP, von Zglinicki T. MitoQ counteracts telomere shortening and elongates lifespan of fibroblasts under mild oxidative stress. Aging Cell. 2003;2(2):141–143. doi:10.1046/j.1474-9728.2003.00040.x
112. Peng W, Zhou R, Sun ZF, Long JW, Gong YQ. Novel insights into the roles and mechanisms of GLP-1 receptor agonists against aging-related diseases. Aging Dis. 2022;13(2):468–490. doi:10.14336/AD.2021.0928
113. Ridout KK, Syed SA, Kao HT, et al. Relationships between telomere length, plasma glucagon-like peptide 1, and insulin in early-life stress-exposed nonhuman primates. Biol Psychiatry Glob Open Sci. 2021;2(1):54–60. doi:10.1016/j.bpsgos.2021.07.006
114. Hou L, Du J, Dong Y, Wang M, Wang L, Zhao J. Liraglutide prevents cellular senescence in human retinal endothelial cells (HRECs) mediated by SIRT1: an implication in diabetes retinopathy. Hum Cell. 2024;37(3):666–674. doi:10.1007/s13577-024-01038-1
115. Wilbon SS, Kolonin MG. GLP1 receptor agonists-effects beyond obesity and diabetes. Cells. 2023;13(1):65. doi:10.3390/cells13010065
© 2026 The Author(s). This work is published and licensed by Dove Medical Press Limited. The
full terms of this license are available at https://www.dovepress.com/terms
and incorporate the Creative Commons Attribution
- Non Commercial (unported, 4.0) License.
By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted
without any further permission from Dove Medical Press Limited, provided the work is properly
attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.
Recommended articles
Platelet-Activating Factor Promotes the Development of Non-Alcoholic Fatty Liver Disease
Yin H, Shi A, Wu J
Diabetes, Metabolic Syndrome and Obesity 2022, 15:2003-2030
Published Date: 8 July 2022
Correlation Between Serum Vitamin E and HOMA-IR in Patients with T2DM
Zhang J, Hou Y, Zhang Z, Shi Y, Wang Z, Song G
Diabetes, Metabolic Syndrome and Obesity 2024, 17:1833-1843
Published Date: 23 April 2024
Curcumin-Loaded Long-Circulation Liposomes Ameliorate Insulin Resistance in Type 2 Diabetic Mice
Li KX, Yuan H, Zhang J, Peng XB, Zhuang WF, Huang WT, Liang HX, Lin Y, Huang YZ, Qin SL
International Journal of Nanomedicine 2024, 19:12099-12110
Published Date: 19 November 2024
Glycolytic Dysfunction in Granulosa Cells and Its Contribution to Metabolic Dysfunction in Polycystic Ovary Syndrome
Cao Z, Zhou Q, An J, Guo X, Jia X, Qiu Y
Drug Design, Development and Therapy 2025, 19:5255-5270
Published Date: 18 June 2025
Mesoporous Silica-Encapsulated Cerium Oxide Nanozymes and Quercetin for Synergistic ROS-Modulated Downregulation of Inflammatory Cytokines
Zhou S, Zhang Y, Casals E, Zeng M, Morales-Ruiz M, Liu Q, Zhang B, Casals G
International Journal of Nanomedicine 2025, 20:8191-8207
Published Date: 25 June 2025
