4.5 Article

Transcriptional Behavior of Regulatory T Cells Predicts IBD Patient Responses to Vedolizumab Therapy

期刊

INFLAMMATORY BOWEL DISEASES
卷 28, 期 12, 页码 1800-1812

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/ibd/izac151

关键词

inflammatory bowel disease; Crohn's disease; ulcerative colitis; biomarkers; memory T cells

资金

  1. Takeda Pharmaceuticals, U.S.A., Inc [IISR-2014-1000892]
  2. National Institute of Diabetes and Digestive and Kidney Diseases [R01DK09907]
  3. Micky & Madeleine Arison Family Foundation Crohn's & Colitis Discovery Laboratory
  4. Martin Kalser Chair in Gastroenterology, University of Miami.
  5. National Institute of Health [R01AI118931]
  6. Crohn's & Colitis Foundation (CCF) [422515]

向作者/读者索取更多资源

Vedolizumab (VDZ) is effective in the treatment of inflammatory bowel disease (IBD) by inhibiting lymphocyte extravasation into intestinal mucosae. Changes in T regulatory cells in the periphery and mucosa have the greatest relationship to VDZ response.
Lay Summary Vedolizumab (VDZ) is effective in the treatment of IBD. Immunophenotyping and RNAseq of T cells were used to inform its mechanism of action. Changes in T regulatory cells in the periphery and mucosa have the greatest relationship to VDZ response. Background Inflammatory bowel disease (IBD) involves chronic T cell-mediated inflammatory responses. Vedolizumab (VDZ), a monoclonal antibody against alpha 4 beta 7 integrin, inhibits lymphocyte extravasation into intestinal mucosae and is effective in ulcerative colitis (UC) and Crohn's disease (CD). Aim We sought to identify immune cell phenotypic and gene expression signatures that related to response to VDZ. Methods Peripheral blood (PBMC) and lamina propria mononuclear cells (LPMCs) were analyzed by flow cytometry and Cytofkit. Sorted CD4( + )memory (Tmem) or regulatory T (Treg) cells from PBMC and LPMC were analyzed by RNA sequencing (RNA-seq). Clinical response (>= 2-point drop in partial Mayo scores [UC] or Harvey-Bradshaw index [CD]) was assessed 14 to 22 weeks after VDZ initiation. Machine-learning models were used to infer combinatorial traits that predicted response to VDZ. Results Seventy-one patients were enrolled: 37 received VDZ and 21 patients remained on VDZ >2 years. Fourteen of 37 patients (38%; 8 UC, 6 CD) responded to VDZ. Immune cell phenotypes and CD4( + )Tmem and Treg transcriptional behaviors were most divergent between the ileum and colon, irrespective of IBD subtype or inflammation status. Vedolizumab treatment had the greatest impact on Treg metabolic pathways, and response was associated with increased expression of genes involved in oxidative phosphorylation. The strongest clinical predictor of VDZ efficacy was concurrent use of thiopurines. Mucosal tissues offered the greatest number of response-predictive biomarkers, whereas PBMC Treg-expressed genes were the best predictors in combinatorial models of response. Conclusions Mucosal and peripheral blood immune cell phenotypes and transcriptional profiles can inform VDZ efficacy and inform new opportunities for combination therapies.

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