ArticleBMC veterinary research2020
The equine gastrointestinal microbiome: impacts of weight-loss.
Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed, 59 citations in OpenAlex.
- From Diet to Disease: The Role of the Gut Microbiome and Microbial Metabolites in Horses.Veterinary sciences · 2026Review
- A Comprehensive Review of the Equine Gut Microbiome in Health and Disease.Veterinary sciences · 2026Review
- Effects of pasture consumption and obesity on insulin dysregulation and adiponectin concentrations in UK native-breed ponies.Equine veterinary journal · 2026Article
- The Role of Short-Chain Fatty Acids (SCFAs) in Colic and Anti-Inflammatory Pathways in Horses.Animals : an open access journal from MDPI · 2025Review
- Influence of selected dosages of plastic microparticles on the porcine fecal microbiome.Scientific reports · 2025Article
- Homemade Nucleic Acid Preservation Buffer Proves Effective in Preserving the Equine Faecal Microbiota over Time at Ambient Temperatures.Animals : an open access journal from MDPI · 2023Article
- Diversity and functional prediction of fungal communities in different segments of mongolian horse gastrointestinal tracts.BMC microbiology · 2023Article
- Article
- Article
- Gastro-Intestinal Microbiota in Equines and Its Role in Health and Disease: The Black Box Opens.Microorganisms · 2022Review
- A high-throughput DNA sequencing study of fecal bacteria of seven Mexican horse breeds.Archives of microbiology · 2022Article
- Low-Dose Interleukin-2 Altered Gut Microbiota and Ameliorated Collagen-Induced Arthritis.Journal of inflammation research · 2022Article
- A Standard Scale to Measure Equine Keeper Status and the Effect of Metabolic Tendency on Gut Microbiome Structure.Animals : an open access journal from MDPI · 2021Article
- Effects of Aleurone Supplementation on Glucose-Insulin Metabolism and Gut Microbiome in Untrained Healthy Horses.Frontiers in veterinary science · 2021Article
- Assessment of clinical and microbiota responses to fecal microbial transplantation in adult horses with diarrhea.PloS one · 2021Article
- A Multiomic Approach to Investigate the Effects of a Weight Loss Program on the Intestinal Health of Overweight Horses.Frontiers in veterinary science · 2021Article
- Effects of Gasterophilus pecorum infestation on the intestinal microbiota of the rewilded Przewalski's horses in China.PloS one · 2021Article
- Screening of Microbes Associated With Swine Growth and Fat Deposition Traits Across the Intestinal Tract.Frontiers in microbiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundObesity is an important equine welfare issue. Whilst dietary restriction is the most effective weight-loss tool, individual animals range in their weight-loss propensity. Gastrointestinal-derived bacteria play a fundamental role in host-health and have been associated with obesity and weight-loss in other species. This study evaluated the faecal microbiome (next-generation sequencing of 16S rRNA genes) of 15 obese Welsh Mountain pony mares, in the same 11-week period across 2 years (n = 8 Year 1; n = 7 Year 2). Following a 4-week acclimation period (pre-diet phase) during which time individuals were fed the same hay to maintenance (2% body mass (BM) as daily dry matter (DM) intake), animals underwent a 7-week period of dietary restriction (1% BM hay as daily DM intake). Faeces were sampled on the final 3 days of the pre-diet phase and the final 3 days of the dietary restriction phase. Bacterial communities were determined using Next Generation Sequencing of amplified V1-V2 hypervariable regions of bacterial 16S rRNA.
resultsLosses in body mass ranged from 7.11 to 11.59%. Changes in the faecal microbiome composition following weight-loss included a reduction in the relative abundance of Firmicutes and Tenericutes and a reduction in indices of bacterial diversity. Pre-diet diversity was negatively associated with weight-loss. Pre-diet faecal acetate concentration was a strong predictor of subsequent weight-loss and negatively associated with Sphaerochaeta (Spirochaetes phylum) abundance. When animals were divided into 3 groups (high, mid, low) based overall weight loss, pre-diet bacterial community structure was found to have the greatest divergence between the high and low weight-loss groups (R = 0.67, p < 0.01), following PERMANOVA and ANOSIM analysis.
conclusionsWeight-loss in this group of ponies was associated with lower pre-diet faecal bacterial diversity and greater pre-diet acetate concentration. Overall, these data support a role for the faecal microbiome in weight-loss propensity in ponies and provide a baseline for research evaluating elements of the faecal microbiome in predicting weight-loss success in larger cohorts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.