Crohn's disease and ulcerative colitis are prototypical complex diseases characterized by chronic and heterogeneous manifestations, induced by interacting environmental, genomic, microbial and immunological factors. These interactions result in an overwhelming complexity that cannot be tackled by studying the totality of each pathological component (an '–ome') in isolation without consideration of the interaction among all relevant –omes that yield an overall 'network effect'. The outcome of this effect is the 'IBD interactome', defined as a disease network in which dysregulation of individual –omes causes intestinal inflammation mediated by dysfunctional molecular modules. To define the IBD interactome, new concepts and tools are needed to implement a systems approach; an unbiased data-driven integration strategy that reveals key players of the system, pinpoints the central drivers of inflammation and enables development of targeted therapies. Powerful bioinformatics tools able to query and integrate multiple –omes are available, enabling the integration of genomic, epigenomic, transcriptomic, proteomic, metabolomic and microbiome information to build a comprehensive molecular map of IBD. This approach will enable identification of IBD molecular subtypes, correlations with clinical phenotypes and elucidation of the central hubs of the IBD interactome that will aid discovery of compounds that can specifically target the hubs that control the disease.

克罗恩氏病和溃疡性结肠炎是典型的复杂疾病，其特征是由环境，基因组，微生物和免疫因素相互作用共同引起的慢性和异质性表现。这些相互作用导致压倒性的复杂性，如果不考虑所有相关的-产生整体“网络效应”的群体之间的相互作用，孤立地研究每个病理成分（“ -ome”）的整体是无法解决的。这种作用的结果就是“ IBD交互基因组”，其定义为一种疾病网络，其中个体的失调导致某些分子模块功能失调介导的肠道炎症。要定义IBD交互组，需要新的概念和工具来实施系统方法。一种无偏见的数据驱动集成策略，可揭示系统的关键参与者，查明炎症的主要驱动力并能够开发靶向疗法。功能强大的生物信息学工具能够查询和整合多个基因组，可整合基因组，表观基因组，转录组学，蛋白质组学，代谢组学和微生物组信息，以构建全面的IBD分子图。这种方法将使IBD分子亚型的鉴定，与临床表型的相关性以及IBD相互作用组中心枢纽的阐明成为可能，这将有助于发现可以特异性靶向控制疾病的枢纽的化合物。功能强大的生物信息学工具能够查询和整合多个基因组，可整合基因组，表观基因组，转录组学，蛋白质组学，代谢组学和微生物组信息，以构建全面的IBD分子图。这种方法将能够鉴定IBD分子亚型，与临床表型的相关性以及阐明IBD相互作用组的中心枢纽，这将有助于发现可以特异性靶向控制疾病的枢纽的化合物。功能强大的生物信息学工具能够查询和整合多个基因组，可整合基因组，表观基因组，转录组学，蛋白质组学，代谢组学和微生物组信息，以构建全面的IBD分子图。这种方法将使IBD分子亚型的鉴定，与临床表型的相关性以及IBD相互作用组中心枢纽的阐明成为可能，这将有助于发现可以特异性靶向控制疾病的枢纽的化合物。