Evidence map›Paper›PMID 24659482›Full record

ArticleAge (Dordrecht, Netherlands)2014

Select aging biomarkers based on telomere length and chronological age to build a biological age equation.

Wei-Guang Zhang, Shu-Ying Zhu, Xiao-Juan Bai, De-Long Zhao, Shi-Min Jian, Juan Li, Zuo-Xiang Li, Bo Fu, Guang-Yan Cai, Xue-Feng Sun and 1 more

Abstract read
In one paragraph

Article in Age (Dordrecht, Netherlands), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Epigenetic age and telomere length correlations in pediatric-onset multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. HIV-Infected Patients as a Model of Aging.Microbiology spectrum · 2023
    Article
  15. Biomarkers of aging.Science China. Life sciences · 2023
    Review
  16. Review
  17. Progress in biological age research.Frontiers in public health · 2023
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Wei-Guang Zhang
Shu-Ying Zhu
Xiao-Juan Bai
De-Long Zhao
Shi-Min Jian
Juan Li
Zuo-Xiang Li
Bo Fu
Guang-Yan Cai
Xue-Feng Sun
Xiang-Mei Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to build a biological age (BA) equation combining telomere length with chronological age (CA) and associated aging biomarkers. In total, 139 healthy volunteers were recruited from a Chinese Han cohort in Beijing. A genetic index, renal function indices, cardiovascular function indices, brain function indices, and oxidative stress and inflammation indices (C-reactive protein [CRP]) were measured and analyzed. A BA equation was proposed based on selected parameters, with terminal telomere restriction fragment (TRF) and CA as the two principal components. The selected aging markers included mitral annulus peak E anterior wall (MVEA), intima-media thickness (IMT), cystatin C (CYSC), D-dimer (DD), and digital symbol test (DST). The BA equation was: BA = −2.281TRF + 26.321CYSC + 0.025DD − 104.419MVEA + 34.863IMT − 0.265DST + 0.305CA + 26.346. To conclude, telomere length and CA as double benchmarks may be a new method to build a BA.

Indexed as

AdultAgedAged, 80 and overAgingBiomarkersFemaleFollow-Up StudiesHealthy VolunteersHumansMaleMiddle AgedOxidative StressRetrospective StudiesTelomereBiomarkers

Identifiers

PMID24659482
PMCPMC4082565

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.