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Gut microbiota of adults with asthma is broadly similar to non-asthmatics in a large population with varied ethnic origins

Bacterial gut communities might predispose children to develop asthma. Yet, little is known about the role of these micro-organisms in adult asthmatics. We aimed to profile the relationship between fecal microbiota and asthma in a large-scale, ethnically diverse, observational cohort of adults. Feca...

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Detalles Bibliográficos
Autores principales: Kullberg, Robert F. J., Haak, Bastiaan W., Abdel-Aziz, Mahmoud I., Davids, Mark, Hugenholtz, Floor, Nieuwdorp, Max, Galenkamp, Henrike, Prins, Maria, Maitland-van der Zee, Anke H., Wiersinga, W. Joost
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8583066/
https://www.ncbi.nlm.nih.gov/pubmed/34743654
http://dx.doi.org/10.1080/19490976.2021.1995279
Descripción
Sumario:Bacterial gut communities might predispose children to develop asthma. Yet, little is known about the role of these micro-organisms in adult asthmatics. We aimed to profile the relationship between fecal microbiota and asthma in a large-scale, ethnically diverse, observational cohort of adults. Fecal microbiota composition of 1632 adults (172 asthmatics and 1460 non-asthmatics) was analyzed using 16S ribosomal RNA gene sequencing. Using extremely randomized trees machine learning models, we assessed the discriminatory ability of gut bacterial features to identify asthmatics from non-asthmatics. Asthma contributed 0.019% to interindividual dissimilarities in intestinal microbiota composition, which was not significant (P = .97). Asthmatics could not be distinguished from non-asthmatics based on individual microbiota composition by an extremely randomized trees classifier model (area under the receiver operating characteristic curve = 0.54). In conclusion, there were no prominent differences in fecal microbiota composition in adult asthmatics when compared to non-asthmatics in an urban, large-sized and ethnically diverse cohort.