Evidence map›Paper›PMID 41310118›Full record

ArticleCommunications biology2025

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

Callum G Donnelly, Sichong Peng, Lance Pflieger, Jane Manfredi, Michele Coleman, Noa Rappaport, Nathan D Price, Carrie J Finno

Abstract read
In one paragraph

Article in Communications 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. Review
  4. Article
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

8 authors.

Callum G DonnellyCollege of Veterinary Medicine, Cornell University, Ithaca, NY, USA. cgd43@cornell.edu.ORCID http://orcid.org/0000-0003-1503-1419
Sichong PengEclipseBio, San Diego, CA, USA.
Lance PfliegerPhenome Health, Seattle, WA, USA.
Jane ManfrediCollege of Veterinary Medicine, Michigan State University, East Lansing, MI, USA.
Michele ColemanCollege of Veterinary Medicine, Georgia State University, Athens, GA, USA.
Noa RappaportPhenome Health, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8643-2055
Nathan D PriceBuck Institute for Research on Aging, Novato, CA, USA.ORCID http://orcid.org/0000-0002-4157-0267
Carrie J FinnoSchool of Veterinary Medicine, University of California, Davis, CA, USA.

Funding

Morris Animal Foundation (MAF) D21EQ-050
6 · The paper itself

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.

Indexed as

Bile Acids and SaltsHorse DiseasesMetabolic SyndromeAnimalsFemaleHorsesLongitudinal StudiesMaleMultiomicsPhenotypeTaurocholic AcidBile Acids and SaltsTaurocholic Acid

Identifiers

PMID41310118
PMCPMC12660777

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LicenceCC BY-NC-ND
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Registered trials

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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.