Normalization of short-chain fatty acid concentration by bacterial count of stool samples improves discrimination between eubiotic and dysbiotic gut microbiota caused by Clostridioides difficile infection-
Short-chain fatty acids (SCFAs) represent a cornerstone of gut health, serving as critical mediators of immune modulation and overall host homeostasis. Patients with dysbiosis caused by <em>Clostridioides difficile</em> infection (CDI) typically exhibit lower SCFAs levels compared to hea...
| Autores: | , , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/225646 |
| Acesso em linha: | https://hdl.handle.net/2445/225646 |
| Access Level: | acceso abierto |
| Palavra-chave: | Microbiota intestinal Àcids grassos Infeccions Gastrointestinal microbiome Fatty acids Infections |
| Resumo: | Short-chain fatty acids (SCFAs) represent a cornerstone of gut health, serving as critical mediators of immune modulation and overall host homeostasis. Patients with dysbiosis caused by <em>Clostridioides difficile</em> infection (CDI) typically exhibit lower SCFAs levels compared to healthy stool donors and, thus, the concentration of SCFAs has been proposed as a proxy marker of a healthy microbiota. However, there is no consistency in the methods used to quantify SCFAs in stool samples and usually, the results are normalized by the weight of the stool samples, which does not address differences in water and fiber content and ignores bacterial counts in the sample (the main component of stool that contributes to the composition of these metabolites in the sample). Here, we show that normalized SCFAs concentrations by the bacterial count improve discrimination between healthy and dysbiotic samples (patients with CDI), particularly when using acetate and propionate levels. After normalization, butyrate is the metabolite that best discriminates eubiotic and dysbiotic samples according to the area under the receiver operating characteristic (ROC) curve (AUC-ROC = 0.860, [95% CI: 0.786–0.934], p < .0001). |
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