Polytarchou Christos, Koukos Georgios, Iliopoulos Dimitrios
Center for Systems Biomedicine, Division of Digestive Diseases, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California, USA *Christos Polytarchou and Georgios Koukos contributed equally to this work.
Curr Opin Gastroenterol. 2014 Jul;30(4):339-46. doi: 10.1097/MOG.0000000000000081.
PURPOSE OF REVIEW: Ulcerative colitis and Crohn's disease are the two predominant types of inflammatory bowel disease (IBD), affecting over 1.4 million individuals in the United States. IBD results from complex interactions between pathogenic components, including genetic and epigenetic factors, the immune response, and the microbiome, through an unknown sequence of events. The purpose of this review is to describe a systems biology approach to IBD as a novel and exciting methodology aiming at developing novel IBD therapeutics based on the integration of molecular and cellular 'omics' data. RECENT FINDINGS: Recent evidence suggested the presence of genetic, epigenetic, transcriptomic, proteomic, and metabolomic alterations in IBD patients. Furthermore, several studies have shown that different cell types including fibroblasts, epithelial, immune, and endothelial cells together with the intestinal microbiota are involved in IBD pathogenesis. Novel computational methodologies have been developed aiming to integrate high-throughput molecular data. SUMMARY: A systems biology approach could potentially identify the central regulators (hubs) in the IBD interactome and improve our understanding of the molecular mechanisms involved in IBD pathogenesis. The future IBD therapeutics should be developed on the basis of targeting the central hubs in the IBD network.
综述目的:溃疡性结肠炎和克罗恩病是炎症性肠病(IBD)的两种主要类型,在美国影响着超过140万人。IBD是由包括遗传和表观遗传因素、免疫反应及微生物群在内的致病成分之间通过一系列未知事件发生复杂相互作用而导致的。本综述的目的是描述一种针对IBD的系统生物学方法,这是一种新颖且令人兴奋的方法,旨在基于整合分子和细胞“组学”数据来开发新型IBD治疗方法。 最新发现:最近的证据表明IBD患者存在遗传、表观遗传、转录组学、蛋白质组学和代谢组学改变。此外,多项研究表明,包括成纤维细胞、上皮细胞、免疫细胞和内皮细胞在内的不同细胞类型以及肠道微生物群都参与了IBD的发病机制。已开发出旨在整合高通量分子数据的新型计算方法。 总结:系统生物学方法有可能识别IBD相互作用组中的核心调节因子(枢纽),并增进我们对IBD发病机制所涉及分子机制的理解。未来的IBD治疗方法应基于靶向IBD网络中的核心枢纽来开发。
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