Evidence map›Paper›PMID 25123647›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2015

Circulating Proteomic Signatures of Chronological Age.

Cristina Menni, Steven J Kiddle, Massimo Mangino, Ana Viñuela, Maria Psatha, Claire Steves, Martina Sattlecker, Alfonso Buil, Stephen Newhouse, Sally Nelson and 11 more

Open access · hybridAbstract readTwin Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% of its field
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

99 citing papers in PubMed, 1 synthesis or guideline pooled it, 141 citations in OpenAlex.

  1. Proteomic Markers of Aging and Longevity: A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
  2. Identification of Hip BMD Loss and Fracture Risk Markers Through Population-Based Serum Proteomics.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2017
    Trial
  3. Article
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  9. Improving our understanding of the biology of aging: findings from the Age-It Research Program.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  10. Article
  11. Article
  12. A proteomic signature of healthspan.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. A proteomic signature of healthspan.medRxiv : the preprint server for health sciences · 2025
    Article
  15. Article
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  18. Review
  19. Article
  20. Article

39 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

21 authors at 6 institutions in 5 countries.

Cristina MenniDepartment of Twin Research and Genetic Epidemiology, King's College London.
Steven J KiddleInstitute of Psychiatry, King's College London. Medical Research Council Social, Genetic and Developmental Psychiatry Centre, King's College London.
Massimo ManginoDepartment of Twin Research and Genetic Epidemiology, King's College London.
Ana ViñuelaDepartment of Twin Research and Genetic Epidemiology, King's College London.
Maria PsathaDepartment of Twin Research and Genetic Epidemiology, King's College London.
Claire StevesDepartment of Twin Research and Genetic Epidemiology, King's College London.
Martina SattleckerInstitute of Psychiatry, King's College London. National Institute for Health Research Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London.
Alfonso BuilDepartment of Genetic Medicine and Development, University of Geneva Medical School, Switzerland.
Stephen NewhouseInstitute of Psychiatry, King's College London. National Institute for Health Research Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London.
Sally NelsonSomaLogic, Boulder, Colorado.
Stephen WilliamsSomaLogic, Boulder, Colorado.
Nicola VoyleInstitute of Psychiatry, King's College London. Medical Research Council Social, Genetic and Developmental Psychiatry Centre, King's College London.
Hilkka SoininenDepartment of Neurology, University of Eastern Finland and Kuopio University Hospital, Finland.
Iwona KloszewskaMedical University of Lodz, Poland.
Patrizia MecocciInstitute of Gerontology and Geriatrics, University of Perugia, Italy.
Magda TsolakiDepartment of Neurology III, Aristotle University, Thessaloniki, Greece.
Bruno VellasInstitut national de la sante et de la recherche medicale University of Toulouse, France.
Simon LovestoneDepartment of Psychiatry, University of Oxford.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London.
Richard DobsonInstitute of Psychiatry, King's College London. National Institute for Health Research Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London.
Ana M ValdesDepartment of Twin Research and Genetic Epidemiology, King's College London. Academic Rheumatology, University of Nottingham.
King's College London · GBSomaLogic (United States) · USMedical University of Lodz · PLUniversity of Geneva · CHUniversity of Oxford · GBUniversity of Perugia · IT

Funding

Medical Research Council G0801464Medical Research Council MR/L011859/1Medical Research Council MR/M004422/1
6 · The paper itself

Abstract

To elucidate the proteomic features of aging in plasma, the subproteome targeted by the SOMAscan assay was profiled in blood samples from 202 females from the TwinsUK cohort. Findings were replicated in 677 independent individuals from the AddNeuroMed, Alzheimer's Research UK, and Dementia Case Registry cohorts. Results were further validated using RNAseq data from whole blood in TwinsUK and the most significant proteins were tested for association with aging-related phenotypes after adjustment for age. Eleven proteins were associated with chronological age and were replicated at protein level in an independent population. These were further investigated at gene expression level in 384 females from the TwinsUK cohort. The two most strongly associated proteins were chordin-like protein 1 (meta-analysis β [SE] = 0.013 [0.001], p = 3.66 × 10(-46)) and pleiotrophin (0.012 [0.005], p = 3.88 × 10(-41)). Chordin-like protein 1 was also significantly correlated with birthweight (0.06 [0.02], p = 0.005) and with the individual Framingham 10-years cardiovascular risk scores in TwinsUK (0.71 [0.18], p = 9.9 × 10(-5)). Pleiotrophin is a secreted growth factor with a plethora of functions in multiple tissues and known to be a marker for cardiovascular risk and osteoporosis. Our study highlights the importance of proteomics to identify some molecular mechanisms involved in human health and aging.

Indexed as

ProteomicsRegistriesAdultAgedAged, 80 and overAgingBiomarkersCarrier ProteinsCohort StudiesCytokinesEye ProteinsFemaleHumansInsulin-Like Growth Factor Binding Protein 6MaleMatrix Metalloproteinase 12BiomarkersCarrier ProteinsCHRDL1 protein, humanCytokinesEye ProteinsInsulin-Like Growth Factor Binding Protein 6Matrix Metalloproteinase 12Nerve Tissue ProteinspleiotrophinAgingAptamers.Blood biomarkersEarly developmentNucleotideProteomics

Identifiers

PMID25123647
PMCPMC4469006
OpenAlexW2099876949

What OpenQuestion holds

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Registered trials

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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.