Bile acids segregate metabolic syndrome in a cohort of 100 deeply phenotyped horses

Metabolic syndrome (MetS)-encompassing obesity, insulin resistance, dyslipidemia, and hypertension-is prevalent in both humans and horses, offering a unique opportunity to explore shared pathophysiological mechanisms across species in a controlled model organism. In this first report from the Pioneer 100 Horse Health Project (P100HHP), we conducted a longitudinal, multi-omic analysis of 108 deeply phenotyped horses to interrogate individual health trajectories for precision insights into MetS. We identified two primary metabotypes: one characterized by elevated unsaturated triglycerides (TGs) and the other by increased levels of primary bile acids (BAs), notably taurocholic acid and taurochenodeoxycholic acid. Horses with higher circulating levels of taurocholic acid had significantly higher plasma insulin concentrations, especially after an oral sugar challenge (P = 0.01), indicating that specific BAs are associated with hyperinsulinemia-a key phenotype of MetS. Metabolomic signatures predicted body condition score (relative adiposity) with high performance, underscoring their potential for precision diagnostics. Seasonal variations influenced BA levels and were associated with shifts in the fecal microbiota, particularly in Clostridium and Proteobacteria populations. Additionally, we observed an inverse relationship between genetic diversity-measured by runs of homozygosity-and insulin levels, suggesting a genetic component to MetS susceptibility. Our findings demonstrate the power of deep phenotyping and multi-omic approaches to effectively delineate MetS subtypes in horses, highlighting the pivotal roles of bile acids and the microbiome in MetS pathogenesis. These insights not only advance the understanding of equine MetS but also establish the horse as a valuable translational model for human MetS, with potential implications for targeted diagnostics and therapeutics in both veterinary and human medicine.

Authors

Institutions

Publication Details

Journal
Communications Biology
Published
2025-11-27
DOI
https://doi.org/10.1038/s42003-025-09111-7
Citations
1
Primary Topic
Veterinary Equine Medical Research
Type
article
Field-Weighted Citation Impact
2.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bile acids segregate metabolic syndrome in a cohort of 100 deeply phenotyped horses

Jane M. Manfredi, Mary L. Coleman, Nathan D. Price, Callum George Donnelly et al.
1 citations
Communications Biology
Veterinary Equine Medical Research
2.73
article

Bile acids segregate metabolic syndrome in a cohort of 100 deeply phenotyped horses

Jane M. Manfredi, Mary L. Coleman, Nathan D. Price, Callum George Donnelly, Sichong Peng, Noa Rappaport, Lance Pflieger, Carrie J. Finno
article en
1 citations

Abstract

Metabolic syndrome (MetS)-encompassing obesity, insulin resistance, dyslipidemia, and hypertension-is prevalent in both humans and horses, offering a unique opportunity to explore shared pathophysiological mechanisms across species in a controlled model organism. In this first report from the Pioneer 100 Horse Health Project (P100HHP), we conducted a longitudinal, multi-omic analysis of 108 deeply phenotyped horses to interrogate individual health trajectories for precision insights into MetS. We identified two primary metabotypes: one characterized by elevated unsaturated triglycerides (TGs) and the other by increased levels of primary bile acids (BAs), notably taurocholic acid and taurochenodeoxycholic acid. Horses with higher circulating levels of taurocholic acid had significantly higher plasma insulin concentrations, especially after an oral sugar challenge (P = 0.01), indicating that specific BAs are associated with hyperinsulinemia-a key phenotype of MetS. Metabolomic signatures predicted body condition score (relative adiposity) with high performance, underscoring their potential for precision diagnostics. Seasonal variations influenced BA levels and were associated with shifts in the fecal microbiota, particularly in Clostridium and Proteobacteria populations. Additionally, we observed an inverse relationship between genetic diversity-measured by runs of homozygosity-and insulin levels, suggesting a genetic component to MetS susceptibility. Our findings demonstrate the power of deep phenotyping and multi-omic approaches to effectively delineate MetS subtypes in horses, highlighting the pivotal roles of bile acids and the microbiome in MetS pathogenesis. These insights not only advance the understanding of equine MetS but also establish the horse as a valuable translational model for human MetS, with potential implications for targeted diagnostics and therapeutics in both veterinary and human medicine.

Communications BiologyVol. 8(1)
Buck Institute for Research on Aging (US), University of Georgia (US), Cornell University (US), Institute for Systems Biology (US), Eclipse Bioinnovations (United States) (US), Hamilton Thorne (United States) (US), ProNAi Therapeutics (United States) (US), University of California, Davis (US), Michigan State University (US)
Openalex Percentile: Top 9%
Veterinary Equine Medical Research
2.73
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.