Abstract

Abstract Background Despite the success of biological therapies in inflammatory bowel disease (IBD), patient management remains challenging due to a lack of therapy response predictors. Methods Here we prospectively sampled two cohorts of IBD patient cohorts receiving the anti-integrin α4β7 antibody vedolizumab. Samples were subjected to mass cytometry, single-cell RNA sequencing, single-cell V(D)J sequencing, serum proteomics, and multidimensional flow cytometry to comprehensively assess vedolizumab-induced immunological changes in the peripheral blood and their potential associations with treatment response. Results Vedolizumab induced changes in the abundance of both circulating innate and adaptive immune cell compartments and modified the T cell receptor diversity of circulating gut-homing CD4+ memory T cells. Through integration of multimodal parameters and machine learning, we identify that pretreatment activated proliferating CD4+ memory T cell abundance is associated with treatment failure, independent of clinical variables, thereby providing a reliable predictive classifier with significant implications for the personalized management of IBD patients. Conclusion Our study provides a comprehensive framework for assessing therapy response and understanding the mechanisms underlying resistance in chronic immune-mediated inflammatory diseases such as IBD. Identifying personalized treatment strategies based on individual patient characteristics, as exemplified by our "stratify to target" approach, can significantly improve IBD management.

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