Multimodal Profiling of Peripheral Blood Identifies Proliferating Circulating Effector CD4+ T Cells as Predictors for Response to Integrin α4β7-Blocking Therapy in Inflammatory Bowel Disease.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Horn Veronika, Cancino Camila A, Steinheuer Lisa M, Obermayer Benedikt, Fritz Konstantin, Nguyen Anke L, Juhran Kim Susan, Plattner Christina, Bösel Diana, Oldenburg Lotte, Burns Marie, Schulz Axel Ronald, Saliutina Mariia, Mantzivi Eleni, Lissner Donata, Conrad Thomas, Mashreghi Mir-Farzin, Zundler Sebastian, Sonnenberg Elena, Schumann Michael, Haag Lea-Maxie, Beule Dieter, Flatz Lukas, TRR241 IBDome Consortium, Trajanoski Zlatko, D'Haens Geert, Weidinger Carl, Mei Henrik E, Siegmund Britta, Thurley Kevin, Hegazy Ahmed N
Аннотация
METHODS: In 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.
RESULTS: Vedolizumab 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.
CONCLUSIONS: These findings provide a reliable predictive classifier with significant implications for personalized inflammatory bowel disease management.