基于组合药物网络的复杂疾病药物组合模式研究

人体作为一个复杂的功能系统。疾病的发生和发展,尤其是复杂疾病,其病理过程往往涉及多环节、多系统。单一药物难以满足复杂疾病的治疗要求,组合药物成为未来药物发展的新趋势。本文在构建组合药物网络的基础上进行MCODE算法聚类,得到33个独立且内部联系紧密的药物模块。其中26组药物模块用于治疗单一复杂疾病。通过详细分析癌症、疼痛、银屑病、细菌感染、类风湿性关节炎、化疗呕吐这六种复杂疾病,归纳总结出这六种疾病的药物组合模式,从而提出复杂疾病多角度的治疗策略。

Multiangle treatment strategy of complex diseases based on the drug combination network

Human body is a system with complex functions. The pathological process of disease, especially for complex diseases, often involves multi links and targets. Single drug is difficult to meet the requirements of the treatment of complex diseases, so drug combinations become a new trend in the drug development. In this paper, we use MCODE algorithm based on the network of drug combinations, and obstain 33 drug modules. There are 26 groups of drug modules used in the treatment of a single complex disease. Through we detailed analysis of the six kinds of complex diseases, such as cancer, pain, psoriasis, bacterial infection, rheumatoid arthritis and chemotherapy, we sum up the patterns of drug combinations in the treatment of complex diseases and put forward the therapeutic strategies from multi aspects for complex diseases.