A1 Refereed original research article in a scientific journal

Gut Microbiota Profiling as a Promising Tool to Detect Equine Inflammatory Bowel Disease (IBD)




AuthorsSävilammi, Tiina; Alakangas, Rinna-Riikka; Häyrynen, Tuomas; Uusi-Heikkilä, Silva

PublisherMDPI

Publication year2024

JournalAnimals

Journal name in sourceAnimals : an open access journal from MDPI

Journal acronymAnimals (Basel)

Article number2396

Volume14

Issue16

ISSN2076-2615

eISSN2076-2615

DOIhttps://doi.org/10.3390/ani14162396

Web address https://doi.org/10.3390/ani14162396

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/457822392


Abstract
Gastrointestinal disorders are common and debilitating in horses, but their diagnosis is often difficult and invasive. Fecal samples offer a non-invasive alternative to assessing the gastrointestinal health of horses by providing information about the gut microbiota and inflammation. In this study, we used 16S sequencing to compare the fecal bacterial diversity and composition of 27 healthy horses and 49 horses diagnosed with inflammatory bowel disease (IBD). We also measured fecal calprotectin concentration, a marker of intestinal inflammation, in healthy horses and horses with IBD. We found that microbiota composition differed between healthy horses and horses with IBD, although less than five percent of the variation in microbiota composition was explained by individual health status and age. Several differentially abundant bacterial taxa associated with IBD, age, or body condition were depleted from the most dominant Firmicutes phylum and enriched with the Bacteroidota phylum. An artificial neural network model predicted the probability of IBD among the test samples with 100% accuracy. Our study is the first to demonstrate the association between gut microbiota composition and chronic forms of IBD in horses and highlights the potential of using fecal samples as a non-invasive source of biomarkers for equine IBD.

Downloadable publication

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Funding information in the publication
This research was funded by the Academy of Finland, grant number 325107 for S.U-H.


Last updated on 2025-27-01 at 19:25