Metabolomic Profiling of Telomere Length: Associations with Aging-related Phenotypes and Modifiable Lifestyle Factors in Chinese Older Adults
Clicks: 2
ID: 326569
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
0.3
/100
2 views
1 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #133 of 134 articles by views in the journals of gerontology series a, biological sciences and medical sciences
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 134 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
BACKGROUND: Telomere length (TL) is a well-established biomarker of cellular senescence, yet the metabolic profile of TL and its associations with aging-related phenotypes and responses to modifiable lifestyle factors remain unclear. METHODS: TL was measured using quantitative real-time polymerase chain reaction (qPCR) in 282 participants from the West China Health and Aging Cohort (WCHAC). Plasma metabolites were analyzed using Liquid Chromatography-tandem Mass Spectrometry. TL-associated metabolic signatures (Met-TL) were identified through elastic net regression models. Associations between Met-TL and aging-related phenotypes and modifiable lifestyle factors were evaluated using linear and logistic regression models in a larger, non-overlapping sample of 5,957 WCHAC participants. Furthermore, we employed mediation analysis to explore the mediating effects of Met-TL between lifestyle factors and aging-related diseases. RESULTS: We identified a plasma metabolite signature comprising 26 metabolites explaining 17.5% of TL variance. Met-TL significantly associated with aging-related phenotypes (44 Bonferroni-corrected associations) and modifiable lifestyle factors (4 associations). Notably, Met-TL showed robust associations with steatohepatitis and hepatic biomarkers. Mediation analysis revealed that Met-TL partially explained the protective association between healthy lifestyle and steatohepatitis, with a mediation proportion of 8.2%. CONCLUSION: These findings provide novel insights into the metabolic profile of TL in older adults. The Met-TL may serve as a promising biomarker of cellular aging, particularly in identifying liver dysfunction, facilitating the development of personalized aging monitoring and anti-aging intervention strategies.
| Reference Key |
openalex_W7204526633
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Tianpei Ma, Xunying Zhao, Ke Jiang, Lin Lei, Lanjin Xu, Nan Yang, Xin Chen, Qingwen Zhao, Xingyu Zhang, Haiyu Yan, Xinyang Dui, Jinyu Xiao, Mengyu Fan, Lu Long, Jiaqiang Liao, Tao Zhang, Xia Jiang, Jiayuan Li |
| Journal | the journals of gerontology series a, biological sciences and medical sciences |
| Year | 2026 |
| DOI |
10.1093/gerona/glag209
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.