复杂疾病的系统医学视角:内源性网络理论  

Endogenous molecular-cellular network theory: A system-biomedical perspective towards complex diseases

作　　者：苏杭[1] 王高伟[1] 朱晓梅 徐岷涓[1] 敖平[1,3] 

机构地区：[1]上海交通大学系统生物医学研究中心教育部重点实验室,上海200240 [2]基因计算公司 [3]上海交通大学癌基因及相关基因国家重点实验室,上海200240

出　　处：《自然杂志》2015年第6期448-455,共8页Chinese Journal of Nature

基　　金：国家重点基础研究发展计划(973计划)(2010CB529200);国家自然科学基金项目(NFSC91029738)资助

摘　　要：随着分子生物学的发展,对表型背后复杂的分子调控机制进行系统和定量分析成为当前重要研究方向之一。内源性网络理论提供了一种可行的方法,可以通过总结已有的生物学知识构建系统核心调控网络,并利用非线性随机动力系统对网络进行定量分析。本文主要回顾了内源性网络理论的核心内容及迄今为止基于该理论框架下所取得的成果。在内源性网络理论框架下,我们可以利用功能性景观理解复杂疾病的发生发展过程,作出可验证的全新预测,进而为复杂疾病预防、诊断、治疗提供一系列潜在的思路和方案。With the development of molecular biology, it becomes increasingly important to understand the biological complexity systematically and quantitatively. Endogenous molecular-cellular network theory was proposed to depict the core network structure underneath biological system and quantify it by a nonlinear stochastic dynamical system. We review the basic considerations of this theory and several results achieved so far here. Based on this theoretical framework, we may achieve a better understanding of the progression and regression of complex diseases from an adaptive landscape view, make new and practical predictions, and provide some potentialstrategies towards the prevention, diagnosis, and treatment of these diseases.

关 键 词：内源性网络理论 非线性随机动力学系统 复杂疾病 系统生物学 稳态 亚稳态 临界态 

分 类 号：R346[医药卫生—基础医学]