Horse model of spontaneous atrial fibrillation share proteomic changes with humans

Horses and humans are among the few mammals susceptible to spontaneous atrial fibrillation (AF), both suffering from high recurrence rates after treatment. Treatment resistance is often attributed to progressive atrial remodeling, but current treatment options fail to effectively address this aspect. Here, we introduce a novel horse model of spontaneous AF to investigate the biological pathway changes in early stages of the disease. Through data-independent acquisition mass spectrometry on biopsies from the right and left atrium and left ventricular chamber of horses with early-stage persistent AF (n = 8) and controls (n = 8), we identify several differentially regulated proteins across all three chambers. Pathway enrichment analyses and histological stainings highlight a significant role of atrial extracellular matrix (ECM) remodeling in early AF. Other key proteomic changes relate to metabolism, contractility, and protein-folding, and overlap with findings from publicly available human datasets. Our results demonstrate that horses and humans share several AF-related proteomic changes, providing translational insights into the early atrial remodeling processes that are likely to contribute to treatment resistance. These protein-level changes could serve as biomarkers or pharmacological targets for preventing AF-associated atrial remodeling and improve treatment outcomes across species.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-28
DOI
https://doi.org/10.1038/s41598-025-16885-7
Citations
3
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
4.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Horse model of spontaneous atrial fibrillation share proteomic changes with humans

Joakim Bastrup, Rikke Buhl, Charlotte Hopster‐Iversen, Sarah Dalgas Nissen et al.
3 citations
Scientific Reports
Atrial Fibrillation Management and Outcomes
4.16
article

Horse model of spontaneous atrial fibrillation share proteomic changes with humans

Joakim Bastrup, Rikke Buhl, Charlotte Hopster‐Iversen, Sarah Dalgas Nissen, Simon Libak Haugaard, Stanley Nattel, Sofie Troest Kjeldsen, Helena Carstensen, Thomas A. Jepps, Mélodie J. Schneider, Rikke Marion-Knudsen
article en
3 citations

Abstract

Horses and humans are among the few mammals susceptible to spontaneous atrial fibrillation (AF), both suffering from high recurrence rates after treatment. Treatment resistance is often attributed to progressive atrial remodeling, but current treatment options fail to effectively address this aspect. Here, we introduce a novel horse model of spontaneous AF to investigate the biological pathway changes in early stages of the disease. Through data-independent acquisition mass spectrometry on biopsies from the right and left atrium and left ventricular chamber of horses with early-stage persistent AF (n = 8) and controls (n = 8), we identify several differentially regulated proteins across all three chambers. Pathway enrichment analyses and histological stainings highlight a significant role of atrial extracellular matrix (ECM) remodeling in early AF. Other key proteomic changes relate to metabolism, contractility, and protein-folding, and overlap with findings from publicly available human datasets. Our results demonstrate that horses and humans share several AF-related proteomic changes, providing translational insights into the early atrial remodeling processes that are likely to contribute to treatment resistance. These protein-level changes could serve as biomarkers or pharmacological targets for preventing AF-associated atrial remodeling and improve treatment outcomes across species.

Scientific ReportsVol. 15(1)
University of Copenhagen (DK), Montreal Heart Institute (CA), West German Heart and Vascular Center Essen (DE), McGill University (CA), University of Duisburg-Essen (DE)
Lundbeckfonden, Novo Nordisk Fonden, Canadian Institutes of Health Research
Zero hunger
Openalex Percentile: Top 5%
Atrial Fibrillation Management and Outcomes
4.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.