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Deciphering the Ecology of Cystic Fibrosis Bacterial Communities: Towards Systems-Level Integration

TitleDeciphering the Ecology of Cystic Fibrosis Bacterial Communities: Towards Systems-Level Integration
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2019
AuthorsBevivino, Annamaria, Bacci G., Drevinek P., Nelson M.T., Hoffman L., and Mengoni A.
JournalTrends in Molecular Medicine
Date Published19 August 2019
Type of ArticleReview
ISSN14714914
Accession Numberhttps://doi.org/10.1016/j.molmed.2019.07.008
Abstract

Despite over a decade of cystic fibrosis (CF) microbiome research, much remains to be learned about the overall composition, metabolic activities, and pathogenicity of the microbes in CF airways, limiting our understanding of the respiratory microbiome’s relation to disease. Systems-level integration and modeling of host–microbiome interactions may allow us to better define the relationships between microbiological characteristics, disease status, and treatment response. In this way, modeling could pave the way for microbiome-based development of predictive models, individualized treatment plans, and novel therapeutic approaches, potentially serving as a paradigm for approaching other chronic infections. In this review, we describe the challenges facing this effort and propose research priorities for a systems biology approach to CF lung disease.

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85070702829&doi=10.1016%2fj.molmed.2019.07.008&partnerID=40&md5=6fadb448c2b112ae3ca3c6b9376d1a43
DOI10.1016/j.molmed.2019.07.008
Citation Key7631