Summary of Study ST001823
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001152. The data can be accessed directly via it's Project DOI: 10.21228/M8ST22 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST001823 |
| Study Title | Alterations in the fecal microbiome and metabolome of horses with antimicrobial-associated diarrhea compared to antibiotic-treated and non-treated healthy case controls |
| Study Summary | Horses receiving antimicrobials may develop diarrhea due to changes in the gastrointestinal microbiome and metabolome. This matched, case-controlled study compared the fecal microbiome and metabolome in hospitalized horses on antibiotics that developed diarrhea (AAD), hospitalized horses on antibiotics that did not develop diarrhea (ABX) and a healthy, non-hospitalized control population (CON). Naturally-voided fecal samples were collected from AAD horses (n=17) the day that diarrhea developed and matched to ABX (n=15) and CON (n=31) horses for diet, antimicrobial agent and duration of antimicrobial therapy (< 5 days or > 5 days). Illumina sequencing of 16S rRNA genes on fecal DNA was performed. Alpha and beta diversity metrics were generated using QIIME 2.0. A Kruskal-Wallis with Dunn’s post-test and ANOSIM testing was used for statistical analysis. Microbiome composition in AAD was significantly different from CON (ANOSIM, R= 0.568, p=0.001) and ABX (ANOSIM, R=0.121, p=0.0012). Fecal samples were lyophilized and extracted using a solvent-based method. Untargeted metabolomics using gas chromatography-mass spectrometry platforms was performed. Metabolomic data was analyzed using Metaboanalyst 4.0 and Graphpad Prism v 7. Principal component analysis plots (PCA) were used to visualize the distribution of metabolites between groups. Heat maps were used to identify the relative concentrations amongst the most abundant 25 metabolites. A one-way ANOVA was used to compare differences in metabolites amongst the three groups of horses. Only named metabolites were included in the analysis. The microbiome of AAD and ABX horses had significantly decreased richness and evenness than CON horses (p<0.05). Actinobacteria (q=0.0192) and Bacteroidetes (q=0.0005) were different between AAD and CON. Verrucomicrobia was markedly decreased in AAD compared to ABX and CON horses (q=0.0005). Horses with AAD have a dysbiosis compared to CON horses, and show minor differences in bacterial community composition to ABX horses. Metabolite profiles of horses with AAD clustered separately from those with AAD or CON. Ten metabolites were found to be significantly different between groups (P<0.05) and are listed according to their metabolic pathway: amino acid metabolism (R-equol, L-tyrosine, kynurenic acid, xanthurenic acid, 5-hydroxyindole-3-acetic acid ) lipid metabolism (docosahexaenoic acid ethyl ester), biosynthesis of secondary metabolites (daidzein, isoquinoline) and two metabolites with unidentified pathways (1,3-divinyl-2-imidazolidinone, N-acetyltyramine). |
| Institute | Texas A&M University |
| Last Name | Arnold |
| First Name | Carolyn |
| Address | 4475 TAMU College of Veterinary Medicine and Biomedical Sciences College Station, Texas 77843-4475 |
| carnold@cvm.tamu.edu | |
| Phone | 979-412-3145 |
| Submit Date | 2021-03-10 |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-09-10 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Factors:
Subject type: Mammal; Subject species: Equus caballus (Factor headings shown in green)
| mb_sample_id | local_sample_id | Group |
|---|---|---|
| SA169171 | 51 | AAD |
| SA169172 | 27 | AAD |
| SA169173 | 55 | AAD |
| SA169174 | 31 | AAD |
| SA169175 | 18 | AAD |
| SA169176 | 35 | AAD |
| SA169177 | 43 | AAD |
| SA169178 | 47 | AAD |
| SA169179 | 39 | AAD |
| SA169180 | 17 | AAD |
| SA169181 | 1 | AAD |
| SA169182 | 22 | AAD |
| SA169183 | 59 | AAD |
| SA169184 | 9 | AAD |
| SA169185 | 13 | AAD |
| SA169186 | 5 | AAD |
| SA169187 | 32 | ABX |
| SA169188 | 44 | ABX |
| SA169189 | 14 | ABX |
| SA169190 | 6 | ABX |
| SA169191 | 36 | ABX |
| SA169192 | 40 | ABX |
| SA169193 | 28 | ABX |
| SA169194 | 48 | ABX |
| SA169195 | 2 | ABX |
| SA169196 | 52 | ABX |
| SA169197 | 60 | ABX |
| SA169198 | 24 | ABX |
| SA169199 | 10 | ABX |
| SA169200 | 56 | ABX |
| SA169201 | 19 | ABX |
| SA169202 | 63 | CON |
| SA169203 | 58 | CON |
| SA169204 | 57 | CON |
| SA169205 | 46 | CON |
| SA169206 | 45 | CON |
| SA169207 | 61 | CON |
| SA169208 | 53 | CON |
| SA169209 | 54 | CON |
| SA169210 | 62 | CON |
| SA169211 | 50 | CON |
| SA169212 | 49 | CON |
| SA169213 | 33 | CON |
| SA169214 | 12 | CON |
| SA169215 | 15 | CON |
| SA169216 | 16 | CON |
| SA169217 | 11 | CON |
| SA169218 | 8 | CON |
| SA169219 | 3 | CON |
| SA169220 | 4 | CON |
| SA169221 | 7 | CON |
| SA169222 | 20 | CON |
| SA169223 | 21 | CON |
| SA169224 | 37 | CON |
| SA169225 | 38 | CON |
| SA169226 | 41 | CON |
| SA169227 | 34 | CON |
| SA169228 | 30 | CON |
| SA169229 | 25 | CON |
| SA169230 | 26 | CON |
| SA169231 | 29 | CON |
| SA169232 | 42 | CON |
| Showing results 1 to 62 of 62 |
