Evidence map›Paper›PMID 28663789›Full record

ReviewF1000Research2017

Molecular and phenotypic biomarkers of aging.

Xian Xia, Weiyang Chen, Joseph McDermott, Jing-Dong Jackie Han

Registry-linked trialAbstract readReview
In one paragraph

Review in F1000Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04430803 (The Effects of Six-month Hydrogen-rich Water Intake on Molecular and Phenotypic Biomarkers of Aging in Men and Women Aged 70 Years and Over), which is not on this map. Cited by 88 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing 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.

NCT04430803 nacompletednot on this mapstarted 2020, after this paper: background citation

The Effects of Six-month Hydrogen-rich Water Intake on Molecular and Phenotypic Biomarkers of Aging in Men and Women Aged 70 Years and Over: a Randomized-controlled Trial

TypeinterventionalSponsorUniversity of Novi Sad, Faculty of Sport and Physical EducationRan2020 to 2021Enrolled44ConditionsAgingArmsHydrogen-rich water, Control Water
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Review
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  16. An Update on Neuroaging on Earth and in Spaceflight.International journal of molecular sciences · 2025
    Review
  17. Review
  18. Article
  19. Anti-Aging Tests for Middle Aged Women.Journal of menopausal medicine · 2024
    Review
  20. Article

28 more citing papers are in PubMed but not listed here.

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

4 authors.

Xian XiaKey Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Weiyang ChenSchool of Information, Qilu University of Technology, Jinan, China.
Joseph McDermottKey Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Jing-Dong Jackie HanKey Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0002-8456-7885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals of the same age may not age at the same rate. Quantitative biomarkers of aging are valuable tools to measure physiological age, assess the extent of 'healthy aging', and potentially predict health span and life span for an individual. Given the complex nature of the aging process, the biomarkers of aging are multilayered and multifaceted. Here, we review the phenotypic and molecular biomarkers of aging. Identifying and using biomarkers of aging to improve human health, prevent age-associated diseases, and extend healthy life span are now facilitated by the fast-growing capacity of multilevel cross-sectional and longitudinal data acquisition, storage, and analysis, particularly for data related to general human populations. Combined with artificial intelligence and machine learning techniques, reliable panels of biomarkers of aging will have tremendous potential to improve human health in aging societies.

Indexed as

age-associated diseasesaging processmolecularphenotypicphysiological age

Identifiers

PMID28663789
PMCPMC5473407

What OpenQuestion holds

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Registered trials

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.