% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Gilbert:300347, author = {J. A. Gilbert and M. B. Azad and F. Bäckhed and M. J. Blaser and M. Byndloss and C. Y. Chiu and H. Chu and L. R. Dugas and E. Elinav$^*$ and S. M. Gibbons and K. E. Gilbert and M. R. Henn and S. L. Ishaq and R. E. Ley and S. V. Lynch and E. Segal and T. D. Spector and P. Strandwitz and J. Suez and C. Tropini and K. Whiteson and R. Knight}, title = {{C}linical translation of microbiome research.}, journal = {Nature medicine}, volume = {31}, number = {4}, issn = {1078-8956}, address = {[New York, NY]}, publisher = {Springer Nature}, reportid = {DKFZ-2025-00781}, pages = {1099-1113}, year = {2025}, note = {2025 Apr;31(4):1099-1113}, abstract = {The landscape of clinical microbiome research has dramatically evolved over the past decade. By leveraging in vivo and in vitro experimentation, multiomic approaches and computational biology, we have uncovered mechanisms of action and microbial metrics of association and identified effective ways to modify the microbiome in many diseases and treatment modalities. This Review explores recent advances in the clinical application of microbiome research over the past 5 years, while acknowledging existing barriers and highlighting opportunities. We focus on the translation of microbiome research into clinical practice, spearheaded by Food and Drug Administration (FDA)-approved microbiome therapies for recurrent Clostridioides difficile infections and the emerging fields of microbiome-based diagnostics and therapeutics. We highlight key examples of studies demonstrating how microbiome mechanisms, metrics and modifiers can advance clinical practice. We also discuss forward-looking perspectives on key challenges and opportunities toward integrating microbiome data into routine clinical practice, precision medicine and personalized healthcare and nutrition.}, subtyp = {Review Article}, cin = {D480}, ddc = {610}, cid = {I:(DE-He78)D480-20160331}, pnm = {314 - Immunologie und Krebs (POF4-314)}, pid = {G:(DE-HGF)POF4-314}, typ = {PUB:(DE-HGF)16}, pubmed = {pmid:40217076}, doi = {10.1038/s41591-025-03615-9}, url = {https://inrepo02.dkfz.de/record/300347}, }