Evidence map›Paper›PMID 42238790›Full record

ArticleFrontiers in veterinary science2026

Discovery of novel biomarkers associated with myocardial fibrosis in chimpanzees (

Rachel Jarvis Martin, Kerstin Baiker, Sophie Moittié, Phillipa Dobbs, Kate White, Matyas Liptovszky, Melissa M Grant

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Rachel Jarvis MartinSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, United Kingdom.
Kerstin BaikerSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, United Kingdom.
Sophie MoittiéSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, United Kingdom.
Phillipa DobbsVeterinary Services, Twycross Zoo, Atherstone, United Kingdom.
Kate WhiteSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, United Kingdom.
Matyas LiptovszkySchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, United Kingdom.
Melissa M GrantSchool of Dentistry, Institute of Clinical Science, University of Birmingham and Birmingham Community Healthcare Foundation Trust, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Idiopathic myocardial fibrosis (IMF) is a prevalent and life-threatening condition in captive chimpanzees ( Methods: Serum samples collected from zoo-housed chimpanzees with post-mortem confirmed cardiac phenotypes were utilized. An initial discovery phase using a Proximity Extension Assay (PEA) screened 92 cardiovascular proteins in a subset of 10 chimpanzees. Three candidate biomarkers (ICAM-2, AXL, and PECAM-1) were subsequently selected for Enzyme-Linked Immunosorbent Assay (ELISA) validation in a broader cohort ( Results: In the discovery phase, ICAM-2, AXL, and PECAM-1 were significantly elevated in IMF-affected animals. During ELISA validation, circulating ICAM-2 remained significantly elevated in the IMF cohort ( Conclusion: ICAM-2 is a highly specific, putative "rule-in" biomarker for moderate-to-severe IMF in chimpanzees. Implementing this biomarker into routine health assessments could enhance the early, non-invasive detection and clinical management of cardiovascular disease in this endangered species, though further validation is required before wider clinical use.

Indexed as

biomarkercardiovascular diseasechimpanzeefibrosisgreat apehealthzoo

Identifiers

PMID42238790
PMCPMC13225971

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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.