Telomere length and chronological age across the human lifespan: A systematic review and meta-analysis of 414 study samples including 743,019 individuals.


Journal

Ageing research reviews
ISSN: 1872-9649
Titre abrégé: Ageing Res Rev
Pays: England
ID NLM: 101128963

Informations de publication

Date de publication:
09 2023
Historique:
received: 08 03 2023
revised: 27 07 2023
accepted: 07 08 2023
pmc-release: 01 09 2024
medline: 7 9 2023
pubmed: 12 8 2023
entrez: 11 8 2023
Statut: ppublish

Résumé

Telomere attrition is a proposed hallmark of aging. To evaluate the association of telomere length (TL) with chronological age across the human lifespan, we conducted a systematic review and meta-analysis of 414 study samples comprising 743,019 individuals aged 0-112 years. We examined both cross-sectional and longitudinal data, and evaluated the impact of various biological and methodological factors including sex, health status, tissue types, DNA extraction procedures, and TL measurement methods. The pooled corrected correlation between TL and age from cross-sectional samples was -0.19 (95%CI: -0.22 to -0.15), which weakened with increased chronological age (β = 0.003, p < 0.001). Z-score change rates of TL across the lifespan showed a gradual decrease in shortening rate until around age 50 and remained at a relatively stable rate towards the elderly period. A greater attrition rate was observed in longitudinal than cross-sectional evaluations. For TL measured in base pairs, the median change rate of TL was -23 bp/year in cross-sectional samples and -38 bp/year in longitudinal samples. Methodological factors including TL measurement methods and tissue types impacted the TL-age correlation, while sex or disease status did not. This meta-analysis revealed the non-linear shortening trend of TL across the human lifespan and provides a reference value for future studies. Results also highlight the importance of methodological considerations when using TL as an aging biomarker.

Identifiants

pubmed: 37567392
pii: S1568-1637(23)00190-3
doi: 10.1016/j.arr.2023.102031
pmc: PMC10529491
mid: NIHMS1925621
pii:
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article Review Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

102031

Subventions

Organisme : NIA NIH HHS
ID : T32 AG049676
Pays : United States
Organisme : NIEHS NIH HHS
ID : U01 ES030949
Pays : United States
Organisme : NIA NIH HHS
ID : U24 AG066528
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The corresponding author (I.S.) is a Steering Committee member of Telomere Research Network.

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Auteurs

Qiaofeng Ye (Q)

Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: qfy5049@psu.edu.

Abner T Apsley (AT)

Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA; Department of Molecular, Cellular and Integrative Biological Sciences, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: ata5287@psu.edu.

Laura Etzel (L)

Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: lauraetzel@psu.edu.

Waylon J Hastings (WJ)

Department of Psychiatry and Behavioral Science, Tulane University School of Medicine, LA 70112, USA. Electronic address: whastings2012@gmail.com.

John T Kozlosky (JT)

Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: jmk6869@psu.edu.

Cade Walker (C)

Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: cmw6620@psu.edu.

Sarah E Wolf (SE)

Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: wolfs4e@gmail.com.

Idan Shalev (I)

Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: ius14@psu.edu.

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Classifications MeSH