Meta-analysis of the human upper respiratory tract microbiome reveals robust taxonomic associations with health and disease.
| Autor: | Quinn-Bohmann N; Institute for Systems Biology, Seattle, WA, 98109, USA. nbohmann@gmail.com.; Molecular Engineering Graduate Program, University of Washington, Seattle, WA, 98195, USA. nbohmann@gmail.com., Freixas-Coutin JA; Reckitt Health US LLC, 1 Philips Pkwy, Montvale, NJ, 07645, USA., Seo J; Reckitt Health US LLC, 1 Philips Pkwy, Montvale, NJ, 07645, USA., Simmons R; Reckitt Benckiser Healthcare Ltd, 105 Bath Road, Slough, Berkshire, SL1 3UH, UK., Diener C; Institute for Systems Biology, Seattle, WA, 98109, USA., Gibbons SM; Institute for Systems Biology, Seattle, WA, 98109, USA. sgibbons@isbscience.org.; Molecular Engineering Graduate Program, University of Washington, Seattle, WA, 98195, USA. sgibbons@isbscience.org.; Department of Bioengineering, University of Washington, Seattle, WA, 98195, USA. sgibbons@isbscience.org.; Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA. sgibbons@isbscience.org.; eScience Institute, University of Washington, Seattle, WA, 98195, USA. sgibbons@isbscience.org. |
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| Jazyk: | angličtina |
| Zdroj: | BMC biology [BMC Biol] 2024 Apr 23; Vol. 22 (1), pp. 93. Date of Electronic Publication: 2024 Apr 23. |
| DOI: | 10.1186/s12915-024-01887-0 |
| Abstrakt: | Background: The human upper respiratory tract (URT) microbiome, like the gut microbiome, varies across individuals and between health and disease states. However, study-to-study heterogeneity in reported case-control results has made the identification of consistent and generalizable URT-disease associations difficult. Results: In order to address this issue, we assembled 26 independent 16S rRNA gene amplicon sequencing data sets from case-control URT studies, with approximately 2-3 studies per respiratory condition and ten distinct conditions covering common chronic and acute respiratory diseases. We leveraged the healthy control data across studies to investigate URT associations with age, sex, and geographic location, in order to isolate these associations from health and disease states. Conclusions: We found several robust genus-level associations, across multiple independent studies, with either health or disease status. We identified disease associations specific to a particular respiratory condition and associations general to all conditions. Ultimately, we reveal robust associations between the URT microbiome, health, and disease, which hold across multiple studies and can help guide follow-up work on potential URT microbiome diagnostics and therapeutics. (© 2024. The Author(s).) |
| Databáze: | MEDLINE |
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