Autoimmun Rev. 2014 Oct;13(10):1020-5. doi: 10.1016/j.autrev.2014.08.028. Epub 2014 Aug 23.
Idiopathic pulmonary fibrosis (IPF) is a progressive fibrosing disease with disappointing survival rate, and uneffective therapeutic progress has been made in the last few years, forcing the urgent need to improve research to this disease. The commonly accepted pathogenic hypothesis of IPF is the trigger from continuous alveolar epithelium microinjuries and in the following series events, many signaling pathways were reported to lead to abnormal tissue repair and lung structure derangement in IPF, such as TGF-β, wnt, VEGF and PI3K-Akt signaling pathways. Traditional research of IPF related signaling pathway always focus on the independent function of pathway and disease signals, but the crosstalks and interactions among them were rarely valued. In this review, we summarize the signaling pathways which were reported to play important roles in the pathologic changes of IPF and the synergistic effect among those pathways. Next we discuss the application of genomics research and bioinformatics tools on IPF related pathway analysis, and give a systems biology perspective by integrating multi-level disease related data. The novel prospective of pathway analysis could tease out the complex pathway interaction profiles of IPF, and is powerful to detect IPF related biomarkers for early diagnose and potential therapeutic targets.
特发性肺纤维化(IPF)是一种进行性纤维化疾病,生存率令人失望,近年来治疗进展甚微,这迫使人们迫切需要改进对这种疾病的研究。IPF 的公认发病假说为持续的肺泡上皮微损伤,并在随后的一系列事件中,据报道许多信号通路导致 IPF 中的异常组织修复和肺结构紊乱,如 TGF-β、Wnt、VEGF 和 PI3K-Akt 信号通路。IPF 相关信号通路的传统研究通常侧重于通路和疾病信号的独立功能,但很少重视它们之间的串扰和相互作用。在这篇综述中,我们总结了报道在 IPF 病理变化中起重要作用的信号通路以及这些通路之间的协同作用。接下来,我们讨论了基因组学研究和生物信息学工具在 IPF 相关通路分析中的应用,并通过整合多层次疾病相关数据提供了系统生物学视角。通路分析的新视角可以梳理出 IPF 复杂的通路相互作用谱,并有助于检测用于早期诊断和潜在治疗靶点的 IPF 相关生物标志物。