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Gut Ruminococcaceae levels at baseline correlate with risk of antibiotic-associated diarrhea

Antibiotic-associated diarrhea (AAD) affects a significant proportion of patients receiving antibiotics. We sought to understand if differences in the gut microbiome would influence the development of AAD. We administered a 3-day course of amoxicillin-clavulanate to 30 healthy adult volunteers, and...

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Detalles Bibliográficos
Autores principales: Gu, Xiaoqiong, Sim, Jean X.Y., Lee, Wei Lin, Cui, Liang, Chan, Yvonne F.Z., Chang, Ega Danu, Teh, Yii Ean, Zhang, An-Ni, Armas, Federica, Chandra, Franciscus, Chen, Hongjie, Zhao, Shijie, Lee, Zhanyi, Thompson, Janelle R., Ooi, Eng Eong, Low, Jenny G., Alm, Eric J., Kalimuddin, Shirin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718891/
https://www.ncbi.nlm.nih.gov/pubmed/35005566
http://dx.doi.org/10.1016/j.isci.2021.103644
Descripción
Sumario:Antibiotic-associated diarrhea (AAD) affects a significant proportion of patients receiving antibiotics. We sought to understand if differences in the gut microbiome would influence the development of AAD. We administered a 3-day course of amoxicillin-clavulanate to 30 healthy adult volunteers, and analyzed their stool microbiome, using 16S rRNA gene sequencing, at baseline and up to 4 weeks post antibiotic administration. Lower levels of gut Ruminococcaceae were significantly and consistently observed from baseline until day 7 in participants who developed AAD. Overall, participants who developed AAD experienced a greater decrease in microbial diversity. The probability of AAD could be predicted based on qPCR-derived levels of Faecalibacterium prausnitzii at baseline. Our findings suggest that a lack of gut Ruminococcaceae influences development of AAD. Quantification of F. prausnitzii in stool prior to antibiotic administration may help identify patients at risk of AAD, and aid clinicians in devising individualized treatment regimens to minimize such adverse effects.