Pathogenesis and precision medicine for predicting response in inflammatory bowel disease: advances and future directions

R. Little, Thisun Jayawardana, Sabrina Koentgen, Fan Zhang, Susan J Connor, Alex Boussioutas, M. Ward, Peter R. Gibson, Miles P Sparrow, Georgina L Hold
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Abstract

The pathogenesis of inflammatory bowel disease (IBD) is complex and multifactorial. Undertreated disease has substantial individual and societal consequences. Current patient classification and subsequent positioning of IBD therapy are based on crude, readily accessible clinical data. These broad parameters are unlikely to reflect underlying molecular profiles and may account for the observed heterogeneity in treatment response. Precision medicine offers identification and integration of molecular profiles into clinical decision-making. Despite several promising scientific and technological advances, the pathogenesis and targetable molecular drivers of IBD remain incompletely understood. Precision medicine therefore remains aspirational. This comprehensive narrative review describes our current understanding of IBD pathophysiology, highlights preliminary genetic, immunological and microbial predictors of treatment response and outlines the role of ‘big data’ and machine learning in the path towards precision medicine.
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预测炎症性肠病反应的发病机制和精准医疗:进展与未来方向
炎症性肠病(IBD)的发病机制复杂且多因素。治疗不当会对个人和社会造成严重后果。目前的患者分类和随后的 IBD 治疗定位都是基于粗略的、容易获得的临床数据。这些宽泛的参数不太可能反映潜在的分子特征,也可能是导致治疗反应异质性的原因。精准医疗可识别分子特征并将其纳入临床决策。尽管在科学和技术方面取得了一些有希望的进展,但人们对 IBD 的发病机制和可靶向的分子驱动因素仍不完全了解。因此,精准医学仍是一个憧憬。本综述描述了我们目前对 IBD 病理生理学的理解,强调了治疗反应的初步遗传学、免疫学和微生物学预测因素,并概述了 "大数据 "和机器学习在实现精准医学道路上的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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