BACKGROUND:Network medical research contains various widely applicable networks with different structures, and construction methods. These networks are not organized in architecture yet, and there is a lack of overview about its application and research progress. OBJECTIVE:To organize various medical networks to a hierarchical architecture, and summarize their research progress. METHODS:A computer-based search of CNKI and PubMed databases was performed for articles about the network medicine published between 1999 and 2016 using the keywords of"disease network, protein interaction network, metabolic network, gene regulatory"in English and Chinese, respectively. Then the main research contents, module property, construction methods, maturity and application progress of network medicine were discussed to predict the research direction. RESULTS AND CONCLUSION:The architecture of network medicine consists of molecular interaction network layer (interactome), disease network layer (diseasome) and drug network layer (drugome). In the interactome, protein-protein interaction network, metabolic network and gene regulatory network are in the order of organisms → mammals →human, and respective networks of human have been mapped but not mature;and new networks are being built. In diseasome, many disease networks have been constructed using a single element to cluster;and cluster by new element or combined elements can be considered in the future. Given this the current pharmacology is based on protein, there are few networks in the drugome the elements that constitute the drugome are only drug and protein.%背景:网络医学研究领域包含各种各样构造方法不同、结构各异且应用广泛而多样的网络,缺乏一种架构把它们组织起来,并且缺乏各类网络具体应用的阐述及最新研究进展.目的:组织各种医学网络到一个层次架构,并归纳总结这些网络的研究进展.方法:检索CNKI和PubMed数据库1999至2016年有关网络医学的文献,中文检索关键词为"疾病,网络,蛋白质相互作用网络,代谢网络,基因调控,药物",英文检索关键词为"disease network,protein interaction network,metabolic network,gene regulatory".结合文献研究,搭建网络医学的层次架构,论述网络医学的主要研究内容,阐述医学网络的模块性质、构建方法、完善程度及应用进展,并预测各种网络的未来研究趋势.结果与结论:网络医学的架构由分子相互作用网络层、疾病网络层和药物网络层组成.分子相互作用网络层中,蛋白质相互作用网络、代谢网络和基因调控网络的构建都遵循低等生物→哺乳动物→人类的从低级生物到高级生物的顺序,并均已绘制人类细胞系统的对应网络,但还处在不断完善中,新的网络不断被构建.疾病网络层中利用单个元素对疾病聚类已经形成多个疾病网络,未来可以考虑使用新元素进行疾病聚类,也可以考虑利用组合多个元素进行疾病聚类.药物网络层的网络较少,原因是目前药理学是以蛋白质为中心的,构成网络的因素只有药物和蛋白质这2种因素.
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