Evidence map›Paper›PMID 26431327›Full record

ArticleOncotarget2015

Identification of ageing-associated naturally occurring peptides in human urine.

Esther Nkuipou-Kenfack, Akshay Bhat, Julie Klein, Vera Jankowski, William Mullen, Antonia Vlahou, Mohammed Dakna, Thomas Koeck, Joost P Schanstra, Petra Zürbig and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Review
  3. Endocrine regulation of uromodulin in aging.Frontiers in endocrinology · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Urinary Protein and Peptide Markers in Chronic Kidney Disease.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

14 authors at 9 institutions in 4 countries.

Esther Nkuipou-KenfackMosaiques Diagnostics GmbH, Hannover, Germany.
Akshay BhatMosaiques Diagnostics GmbH, Hannover, Germany.
Julie KleinInstitut National de la Santé et de la Recherche Médicale (INSERM), Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
Vera JankowskiUniversity Hospital RWTH Aachen, Institute for Molecular Cardiovascular Research (IMCAR), Aachen, Germany.
William MullenBHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom.
Antonia VlahouBiotechnology Division, Biomedical Research Foundation Academy of Athens, Athens, Greece.
Mohammed DaknaMosaiques Diagnostics GmbH, Hannover, Germany.
Thomas KoeckMosaiques Diagnostics GmbH, Hannover, Germany.
Joost P SchanstraUniversité Toulouse III Paul-Sabatier, Toulouse, France.
Petra ZürbigMosaiques Diagnostics GmbH, Hannover, Germany.
Karl L RudolphLeibniz Institute of Age Research, Fritz Lipmann Institute, Jena, Germany.
Björn SchumacherInstitute for Genome Stability in Ageing and Disease and Cologne Excellence Cluster for Cellular Stress Responses in Aging-Associated Diseases (CECAD) Research Center, University of Cologne, Cologne, Germany.
Andreas PichHannover Medical School, Core Facility Proteomics, Hannover, Germany.
Harald MischakMosaiques Diagnostics GmbH, Hannover, Germany.
Mosaiques Diagnostics and Therapeutics (Germany) · DERWTH Aachen University · DECharité - Universitätsmedizin Berlin · DECologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases · DEInstitut des Maladies Métaboliques et Cardiovasculaires · FRLeibniz Institute on Aging - Fritz Lipmann Institute (FLI) · DEMedizinische Hochschule Hannover · DEUniversity of Glasgow · GBUniversity of Plymouth · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess normal and pathological peptidomic changes that may lead to an improved understanding of molecular mechanisms underlying ageing, urinarypeptidomes of 1227 healthy and 10333 diseased individuals between 20 and 86 years of age were investigated. The diseases thereby comprised diabetes mellitus, renal and cardiovascular diseases. Using age as a continuous variable, 116 peptides were identified that significantly (p < 0.05; |ρ|≥0.2) correlated with age in the healthy cohort. The same approach was applied to the diseased cohort. Upon comparison of the peptide patterns of the two cohorts 112 common age-correlated peptides were identified. These 112 peptides predominantly originated from collagen, uromodulin and fibrinogen. While most fibrillar and basement membrane collagen fragments showed a decreased age-related excretion, uromodulin, beta-2-microglobulin and fibrinogen fragments showed an increase. Peptide-based in silico protease analysis was performed and 32 proteases, including matrix metalloproteinases and cathepsins, were predicted to be involved in ageing. Identified peptides, predicted proteases and patient information were combined in a systems biology pathway analysis to identify molecular pathways associated with normal and/or pathological ageing. While perturbations in collagen homeostasis, trafficking of toll-like receptors and endosomal pathways were commonly identified, degradation of insulin-like growth factor-binding proteins was uniquely identified in pathological ageing.

Indexed as

AdultAgedAged, 80 and overAgingCardiovascular DiseasesCollagenDiabetes MellitusFemaleFibrinogenHumansKidney DiseasesMaleMiddle AgedPeptidesProteomeUromodulinCollagenFibrinogenPeptidesProteomeUromodulinageingcollagenGerotargetpeptidomicsproteasessystems biologyurine

Identifiers

PMID26431327
PMCPMC4741439
OpenAlexW2152956191

What OpenQuestion holds

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LicenceCC BY
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.