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首页> 外文期刊>PLoS Computational Biology >I_MDS: an inflammatory bowel disease molecular activity score to classify patients with differing disease-driving pathways and therapeutic response to anti-TNF treatment
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I_MDS: an inflammatory bowel disease molecular activity score to classify patients with differing disease-driving pathways and therapeutic response to anti-TNF treatment

机译:I_MDS:炎症性肠病分子活性评分,用于对具有不同疾病驱动途径和抗TNF治疗反应的患者进行分类

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摘要

Author summary Patients exhibiting similar phenotypical characteristics, diagnosed with the same disease, exhibit variable response to therapeutics. This is a major health care issue, due to the increased patient suffering and the socioeconomical burden that occurs. Crohns disease and ulcerative colitis constitute good examples of inflammatory conditions, with sufferers responding differentially to existent therapeutics. Here, we identified disease-driving pathways and classified individuals into subpopulations that differ in their pathobiology and response to treatment. We utilized gene set variation analysis and transcriptomic data from inflammatory bowel disease sufferers to stratify patients at baseline or after anti-TNF treatment in clinical responders and non-responders. We explored gene signatures obtained from the literature, relevant to immune processes, which were significantly enriched in disease compared to healthy controls, as well as before and after treatment. Using these signatures, we established an inflammatory bowel disease molecular activity score, which allowed us to separate clinical responders and non-responders at baseline with high specificity and sensitivity. We validated the proposed approach in an independent data set, demonstrating comparable classification. This methodological approach may lead to better targeted design of clinical studies, allowing the selection of patient sharing similar underlying pathobiology, thus increasing the likelihood of clinical response to treatment.
机译:作者摘要表现出相似表型特征的患者,被诊断患有相同疾病,对治疗药物的反应不同。由于增加的患者痛苦和发生的社会经济负担,这是一个主要的卫生保健问题。克罗恩氏病和溃疡性结肠炎是炎性疾病的良好例证,患者对现有疗法的反应不同。在这里,我们确定了疾病驱动途径,并将个体分为病理生物学和对治疗的反应不同的亚人群。我们利用来自炎症性肠病患者的基因集变异分析和转录组学数据,将基线水平或抗TNF治疗后临床应答者和非应答者中的患者分层。我们探索了从文献中获得的与免疫过程相关的基因特征,与健康对照以及治疗前后相比,这些特征在疾病中显着丰富。利用这些特征,我们建立了炎症性肠病分子活性评分,这使我们能够以较高的特异性和敏感性将基线时的临床反应者和非反应者分开。我们在独立的数据集中验证了提出的方法,证明了可比较的分类。这种方法论方法可能会导致针对临床研究进行更好的针对性设计,从而允许选择具有相似基础病理生物学特性的患者,从而增加了对治疗的临床反应的可能性。

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