Article
作者: Chang, Hyun-Dong ; Cancino, Camila A. ; Romagnani, Chiara ; Bösel, Diana ; Thurley, Kevin ; Hegazy, Ahmed N ; Siegmund, Britta ; Trajanoski, Zlatko ; Mashreghi, Mir-Farzin ; Triantafyllopoulou, Antigoni ; Schulz, Axel Ronald ; Neurath, Markus ; Sanders, Ashley ; Prüß, Magdalena ; Weidinger, Carl ; Patankar, Jay ; Bosch-Voskens, Caroline ; Atreya, Imke ; Scheffold, Alexander ; Koop, Kristina ; Nguyen, Anke L ; Britzen-Laurent, Nathalie ; Krug, Susanne ; Schürmann, Sebastian ; Stürzl, Michael ; Juhran, Kim Susan ; Mantzivi, Eleni ; Kühl, Anja A. ; Schumann, Michael ; Neufert, Clemens ; Burns, Marie ; Flatz, Lukas ; D'Haens, Geert ; Ludwig, Leif S.-H. ; Thurley, Kevin ; Siegmund, Britta ; Weidinger, Carl ; Steinheuer, Lisa Maria ; Mei, Henrik E. ; Wirtz, Stefan ; Saliutina, Mariia ; Schulzke, Jörg-Dieter ; Günther, Claudia ; Haag, Lea-Maxie ; Fritz, Konstantin ; Diefenbach, Andreas ; López-Posadas, Rocío ; Waldner, Maximilian ; Sonnenberg, Elena ; Horn, Veronika ; Leppkes, Moritz ; Becker, Christoph ; Hildner, Kai ; Cancino, Camila A ; Hegazy, Ahmed N. ; Radbruch, Andreas ; Zundler, Sebastian ; Ronchi, Francesca ; Steinheuer, Lisa M ; Plattner, Christina ; Trajanoski, Zlatko ; Bacher, Petra ; Trjanoski, Zlatko ; Oldenburg, Lotte ; Nguyen, Anke L. ; Bojarski, Christian ; Klose, Christoph S.N. ; D’Haens, Geert ; Conrad, Thomas ; Mei, Henrik E ; Obermayer, Benedikt ; Lissner, Donata ; Beule, Dieter ; Atreya, Raja
BACKGROUND & AIMSDespite the success of biological therapies in treating inflammatory bowel disease, managing patients remains challenging due to the absence of reliable predictors of therapy response.METHODSIn this study, we prospectively sampled 2 cohorts of patients with inflammatory bowel disease receiving the anti-integrin α4β7 antibody vedolizumab. Samples were subjected to mass cytometry; single-cell RNA sequencing; single-cell B and T cell receptor sequencing (BCR/TCR-seq); serum proteomics; and multiparametric flow cytometry to comprehensively assess vedolizumab-induced immunologic changes in the peripheral blood and their potential associations with treatment response.RESULTSVedolizumab treatment led to substantial alterations in the abundance of circulating immune cell lineages and modified the T-cell receptor diversity of gut-homing CD4+ memory T cells. Through integration of multimodal parameters and machine learning, we identified a significant increase in proliferating CD4+ memory T cells among nonresponders before treatment compared with responders. This predictive T-cell signature demonstrated an activated T-helper 1/T-helper 17 cell phenotype and exhibited elevated levels of integrin α4β1, potentially making these cells less susceptible to direct targeting by vedolizumab.CONCLUSIONSThese findings provide a reliable predictive classifier with significant implications for personalized inflammatory bowel disease management.