Multi-omics reveal microbial determinants impacting responses to biologic therapies in inflammatory bowel disease
Autor: | Clary B. Clish, Helena Lau, Ashwin N. Ananthakrishnan, Ramnik J. Xavier, Larson Hogstrom, Hera Vlamakis, Jonathan Wei Jie Lee, Hamed Khalili, Sara M. Gregory, Damian R. Plichta, Nienke Z. Borren, William Tan |
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Rok vydání: | 2020 |
Předmět: |
Proteomics
Disease Biology Antibodies Monoclonal Humanized Microbiology Inflammatory bowel disease Vedolizumab Feces Immune system Crohn Disease Virology medicine Humans Metabolomics Microbiome Prospective Studies Crohn's disease medicine.disease Inflammatory Bowel Diseases Ulcerative colitis Infliximab Gastrointestinal Microbiome Biological Therapy Blood Immunology Cytokines Metagenome Parasitology Colitis Ulcerative Tumor Necrosis Factor Inhibitors Biomarkers medicine.drug |
Zdroj: | Cell hostmicrobe. 29(8) |
ISSN: | 1934-6069 |
Popis: | Summary The intestinal microbiome is a key determinant of responses to biologic therapy in inflammatory bowel disease (IBD). However, diverse therapeutics and variable responses among IBD patients have posed challenges in predicting clinical therapeutic success. In this prospective study, we profiled baseline stool and blood in patients with moderate-to-severe Crohn's disease or ulcerative colitis initiating anti-cytokine therapy (anti-TNF or -IL12/23) or anti-integrin therapy. Patients were assessed at 14 weeks for clinical remission and 52 weeks for clinical and endoscopic remission. Baseline microbial richness indicated preferential responses to anti-cytokine therapy and correlated with the abundance of microbial species capable of 7α/β-dehydroxylation of primary to secondary bile acids. Serum signatures of immune proteins reflecting microbial diversity identified patients more likely to achieve remission with anti-cytokine therapy. Remission-associated multi-omic profiles were unique to each therapeutic class. These profiles may facilitate a priori determination of optimal therapeutics for patients and serve as targets for newer therapies. |
Databáze: | OpenAIRE |
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