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The association of metabolic syndrome with telomere length as a marker of cellular aging: a systematic review and meta-analysis

Authors :
Sulieman Ibraheem Shelash Al-Hawary
Abdullah Ali Alzahrani
Hatem Ghaleb Maabreh
Mohammed Abed Jawad
Salim B. Alsaadi
Noura Kareem Jabber
Ahmed Alawadi
Ali Alsalamy
Farideh Alizadeh
Source :
Frontiers in Genetics, Vol 15 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

BackgroundIt has been suggested that metabolic syndrome (MetS) accelerates the aging process, potentially contributing to the development of age-related complications. Available studies examining the relation of MetS to telomere length (TL), a putative biological marker of aging, have yielded inconclusive findings. This meta-analysis was performed to investigate the association between MetS and TL.MethodsA comprehensive systematic search was conducted in PubMed and Scopus databases to identify relevant literature published up to February 2024. Standard mean difference (SMD) and standardized beta coefficient (β) with their 95% confidence intervals (CI) were used as effect sizes to measure the associations using the random effects model.ResultsA total of nine studies, comprising a total sample size of 8,606 participants, were eligible for the meta-analysis. No significant difference in mean TL was found between patients with and without MetS (SMD = −0.03, 95%CI = −0.17 to 0.10), with a significant heterogeneity across the studies (I2 = 89.7.0%, p ≤ 0.001). In contrast, it was revealed that MetS is negatively related to TL (β = −0.08, 95%CI = −0.15 to −0.004). In the subgroup analysis, this finding was supported by the International Diabetes Federation (IDF) definition of MetS.ConclusionThis meta-analysis highlighted that MetS may be linked to a shorter TL. Additional studies are required to confirm this finding.

Details

Language :
English
ISSN :
16648021
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.348bb2b305bb48a0ade1210b462ca2e5
Document Type :
article
Full Text :
https://doi.org/10.3389/fgene.2024.1390198