Evidence map›Paper›PMID 40037418›Full record

ReviewMatrix biology : journal of the International Society for Matrix Biology2025

Circulating collagen type I fragments as specific biomarkers of cardiovascular outcome risk: Where are the opportunities?

Emily M Martin, Joan Chang, Arantxa González, Federica Genovese

Abstract readReview
In one paragraph

Review in Matrix biology : journal of the International Society for Matrix Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Biomarkers in Heart Failure: A Review and a Wish.International journal of molecular sciences · 2025
    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

4 authors.

Emily M MartinNordic Bioscience A/S, Herlev, Denmark; Institute of Biomedical Science, University of Copenhagen, Copenhagen, Denmark. Electronic address: emma@nordicbio.com.
Joan ChangManchester Cell-Matrix Centre, Division of Molecular and Cellular Function, University of Manchester, Manchester, UK.
Arantxa GonzálezCentre for Applied Medical Research (CIMA) Universidad de Navarra, Department of Cardiology and Cardiac Surgery, Clínica Universidad de Navarra, Department of Pathology Anatomy and Physiology Universidad de Navarra and IdiSNA, Pamplona, Navarra (Spain); CIBERCV, Instituto de Salud Carlos III, Madrid Spain.
Federica GenoveseNordic Bioscience A/S, Herlev, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collagen type I (COL1) is the most abundant protein in the human body and is a main component in the extracellular matrix. The COL1 structure vastly influences normal tissue homeostasis, and changes in the matrix drive progression in multiple diseases. Cardiovascular diseases (CVD) are the leading cause of mortality and morbidity in many Western countries; alterations in the extracellular matrix turnover processes, including COL1, are known to influence the pathophysiological processes leading to CVD outcome. Peptides reflecting COL1 formation and degradation have been established and explored for over two decades in CVD. This review aims to combine and assess the evidence for using COL1-derived circulating peptides as biomarkers in CVD. Secondly, the review identifies existing pitfalls, and evaluates future opportunities for improving the technical characteristics and performance of the biomarkers for implementation in the clinical setting.

Indexed as

Cardiovascular DiseasesCollagen Type IPeptide FragmentsBiomarkersExtracellular MatrixHumansBiomarkersCollagen Type IPeptide FragmentsBiomarkersCardiovascular riskCollagen type IExtracellular matrix

Identifiers

PMID40037418
PMCPMC11986567

What Socratic holds

Textmetadata
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 Socratic graph.