首页> 外文期刊>Gut: Journal of the British Society of Gastroenterology >Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD
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Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD

机译:以细胞为中心的Meta分析显示IBD患者活检和血液中的抗TNFα非反应的基线预测因子

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Although anti-tumour necrosis factor alpha (anti-TNFα) therapies represent a major breakthrough in IBD therapy, their cost–benefit ratio is hampered by an overall 30% non-response rate, adverse side effects and high costs. Thus, finding predictive biomarkers of non-response prior to commencing anti-TNFα therapy is of high value.We analysed publicly available whole-genome expression profiles of colon biopsies obtained from multiple cohorts of patients with IBD using a combined computational deconvolution—meta-analysis paradigm which allows to estimate immune cell contribution to the measured expression and capture differential regulatory programmes otherwise masked due to variation in cellular composition. Insights from this in silico approach were experimentally validated in biopsies and blood samples of three independent test cohorts.We found the proportion of plasma cells as a robust pretreatment biomarker of non-response to therapy, which we validated in two independent cohorts of immune-stained colon biopsies, where a plasma cellular score from inflamed biopsies was predictive of non-response with an area under the curve (AUC) of 82%. Meta-analysis of the cell proportion-adjusted gene expression data suggested that an increase in inflammatory macrophages in anti-TNFα non-responding individuals is associated with the upregulation of the triggering receptor expressed on myeloid cells 1 (TREM-1) and chemokine receptor type 2 (CCR2)-chemokine ligand 7 (CCL7) –axes. Blood gene expression analysis of an independent cohort, identified TREM-1 downregulation in non-responders at baseline, which was predictive of response with an AUC of 94%.Our study proposes two clinically feasible assays, one in biopsy and one in blood, for predicting non-response to anti-TNFα therapy prior to initiation of treatment. Moreover, it suggests that mechanism-driven novel drugs for non-responders should be developed.
机译:虽然抗肿瘤坏死因子α(抗TNFα)疗法代表IBD治疗中的重大突破,但它们的成本效益比例是通过整体30%的非反应率,不良副作用和高成本而受到阻碍。因此,在开始抗TNFα治疗之前发现非反应的预测生物标志物是高价值。我们使用组合的计算解卷积 - Meta分析分析了从IBD患者的多个患者获得的CONON活组织检查的公开全基因组表达谱范例允许估计免疫细胞对测量的表达和捕获因细胞组合物的变化而掩盖的差异调节程序的贡献。在三个独立的测试队列的活组织检查和血液样本中验证了这一点的洞察。我们发现血浆细胞的比例作为对治疗的鲁棒预处理生物标志物的稳健预处理生物标志物,我们在两个独立的免疫染色队列中验证结肠活组织检查,其中来自发炎活组织检查的血浆细胞分数是在曲线(AUC)下的曲线(AUC)的非反应预测到82%。细胞比例调整后基因表达数据的荟萃分析表明,抗TNFα无响应个体中炎性巨噬细胞的增加与骨髓细胞1(TREM-1)和趋化因子受体类型的触发受体的上调相关2(CCR2) - 藻咽配体7(CCL7) - XAE。独立队列的血基因表达分析,在基线的非响应者中鉴定了Trem-1下调,这是对94%的AUC的反应预测。旅程提出了两个临床上可行的测定,一个在活组织检查中,一个血液中的一个临床可行的测定预测治疗开始前对抗TNFα治疗的非反应。此外,它表明应制定机制驱动的非响应者的新药。

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