【摘 要】
：
The traditional way to define a physiological or pathological state is to measure a set of molecules/nodes concentrations.Here,we developed an edge-based wo
【机 构】
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Institute of Biochemistry and Cell Biology,Chinese Academy of Sciences,Shanghai,China
【出 处】
：
2017精准健康和精准营养国际研讨会
论文部分内容阅读
The traditional way to define a physiological or pathological state is to measure a set of molecules/nodes concentrations.Here,we developed an edge-based workflow to integrate multi-omics data and construct molecular network.We profiled plasma metabolites and proteins of normoglycemic obese(NO)and diabetic obese(DO)patients at 1-week,3-months and 1-year stages after Roux-en-Y gastric bypass(RYGB)as well pre-RYGB stage.By analyzing a set of bi-molecular associations among the corresponding network of the subjects with our newly developed computational method,we defined the representing physiological states(called the edge-states,in contrast to the traditional node-states)and the related molecular networks of NO and DO patients,respectively.The hub-networks of DO subjects were significantly different from those of NO patients; particularly,the hub-network rearrangement of both groups differentially went through after RYGB.We uncovered that RYGB generated a unique recovering-path of diabetes patients independent of weight loss.The surgery could break the molecular association of diabetic patients and re-construct a well-balanced network for glucose homeostasis.
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