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Gut microbiome composition and risk factors in a large cross-sectional IBS cohort.
Agnello, Melissa; Carroll, Lauren N; Imam, Nabeel; Pino, Rodolfo; Palmer, Christina; Varas, Ignacio; Greene, Claire; Hitschfeld, Maureen; Gupta, Sarah; Almonacid, Daniel E; Hoaglin, Michael C.
Afiliación
  • Agnello M; Medical Affairs, uBiome, San Francisco, California, USA.
  • Carroll LN; Medical Affairs, uBiome, San Francisco, California, USA.
  • Imam N; Medical Affairs, uBiome, Santiago, Chile.
  • Pino R; Medical Affairs, uBiome, Santiago, Chile.
  • Palmer C; Medical Affairs, uBiome, San Francisco, California, USA.
  • Varas I; Bioinformatics, uBiome, Santiago, Chile.
  • Greene C; Medical Affairs, uBiome, San Francisco, California, USA.
  • Hitschfeld M; Data Science, uBiome, Santiago, Chile.
  • Gupta S; Medical Affairs, uBiome, San Francisco, California, USA.
  • Almonacid DE; Medical Affairs, uBiome, San Francisco, California, USA.
  • Hoaglin MC; Medical Affairs, uBiome, San Francisco, California, USA.
BMJ Open Gastroenterol ; 7(1): e000345, 2020.
Article en En | MEDLINE | ID: mdl-32518661
Objective: Irritable bowel syndrome (IBS) is a common gastrointestinal disorder that is difficult to diagnose and treat due to its inherent heterogeneity and unclear aetiology. Although there is evidence suggesting the importance of the microbiome in IBS, this association remains poorly defined. In the current study, we aimed to characterise a large cross-sectional cohort of patients with self-reported IBS in terms of microbiome composition, demographics, and risk factors. Design: Individuals who had previously submitted a stool sample for 16S microbiome sequencing were sent a comprehensive survey regarding IBS diagnosis, demographics, health history, comorbidities, family history, and symptoms. Log ratio-transformed abundances of microbial taxa were compared between individuals reporting a diagnosis of IBS without any comorbidities and individuals reporting no health conditions. Univariable testing was followed by a multivariable logistic regression model controlling for relevant confounders. Results: Out of 6386 respondents, 1692 reported a diagnosis of IBS without comorbidities and 1124 reported no health conditions. We identified 3 phyla, 15 genera, and 19 species as significantly associated with IBS after adjustment for confounding factors. Demographic risk factors include a family history of gut disorders and reported use of antibiotics in the last year. Conclusion: The results of this study confirm important IBS risk factors in a large cohort and support a connection for microbiome compositional changes in IBS pathogenesis. The results also suggest clinical relevance in monitoring and investigating the microbiome in patients with IBS. Further, the exploratory models described here provide a foundation for future studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome del Colon Irritable / Microbiota / Microbioma Gastrointestinal Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: BMJ Open Gastroenterol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome del Colon Irritable / Microbiota / Microbioma Gastrointestinal Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: BMJ Open Gastroenterol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido