Evidence map›Paper›PMID 42473663›Full record

ArticleiScience2026

Phenotypic patterns in feline heart failure: A natural model for understanding variable disease severity in humans.

Talitha C F Spanjersberg, Alma H Hulsman, Guy C M Grinwis, Babette Janssen, C Nina van der Wilt, Rogier J A Veltrop, Christian J B Snijders Blok, Claudia Rozendom, Paul J Besseling, Jolanda van der Velden and 3 more

Abstract read
In one paragraph

Article in iScience, 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

13 authors.

Talitha C F SpanjersbergDepartment Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Alma H HulsmanDepartment Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Guy C M GrinwisDepartment Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Babette JanssenRegenerative Medicine Center Utrecht (RMCU), UMC Utrecht, University of Utrecht, Utrecht, the Netherlands.
C Nina van der WiltDepartment of Cardiology, Division Heart & Lungs, UMC Utrecht, University of Utrecht, Utrecht, the Netherlands.
Rogier J A VeltropRegenerative Medicine Center Utrecht (RMCU), UMC Utrecht, University of Utrecht, Utrecht, the Netherlands.
Christian J B Snijders BlokRegenerative Medicine Center Utrecht (RMCU), UMC Utrecht, University of Utrecht, Utrecht, the Netherlands.
Claudia RozendomDepartment Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Paul J BesselingRegenerative Medicine Center Utrecht (RMCU), UMC Utrecht, University of Utrecht, Utrecht, the Netherlands.
Jolanda van der VeldenDepartment of Physiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Pim van der HarstDepartment of Cardiology, Division Heart & Lungs, UMC Utrecht, University of Utrecht, Utrecht, the Netherlands.
Magdalena HarakalovaRegenerative Medicine Center Utrecht (RMCU), UMC Utrecht, University of Utrecht, Utrecht, the Netherlands.
Frank G van SteenbeekDepartment Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cats frequently develop myocardial remodeling, for example, hypertrophic cardiomyopathy, affecting 14.7% of domestic cats compared to 0.2% of humans, with shared genetic features making them relevant to human disease. Yet features distinguishing clinical outcomes such as heart failure and arterial thromboembolism remain poorly characterized. Using artificial-intelligence-based digital pathology and Oxford Nanopore sequencing, we analyzed myocardial tissue from 37 cats grouped by outcome: arterial thromboembolism, congestive heart failure, or no documented cardiac disease. Myocardial fibrosis was significantly higher in cats with arterial thromboembolism, indicating a distinct fibrotic phenotype. Cats with heart failure showed nuclear hypertrophy, while cats with arterial thromboembolism had increased numbers of small, hematoxylin-dense non-myocyte nuclei. Higher fibrosis was associated with downregulation of mitochondrial and cardiac conduction genes, and nuclear size correlated with proteostasis and stress-response pathways. This multimodal framework reveals distinct histological and molecular profiles by outcome, with relevance for translational hypertrophic cardiomyopathy research.

Indexed as

arterial thromboembolismcardiac fibrosiscardiac remodelingdigital pathologynucleus segmentation

Identifiers

PMID42473663
PMCPMC13380742

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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.