现代医学认为：2型糖尿病(T2DM)的预后与整体血糖水平和24小时内的血糖波动性均相关，后者可由动态血糖检测系统(CGMS)监测。而中医学经络气血流注理论认为，24小时内气血分时辰段依次流注于人体的十二正经。为了结合两者的理论以提高临床疗效，本项目首先假设不同时辰段内的动态血糖波动与气血流注规律具有相关性，故将分十二时辰段考察CGMS所测得的动态血糖数据以寻找此相关性。其次，本项目假设可以通过上述相关性所反映的脏腑差异性来区别不同证型(体质)的患者，故将在探索运用时间序列分析技术建立分时辰段的血糖预测模型的基础上，建立患者病史-证型(体质)-血糖波动模型数据库，为从时间医学角度对T2DM患者的血糖干预和辨证论治提供基础研究证据。最后，本项目还假设上述相关性将导致不同时辰段内的动态血糖波动对胰腺的影响有差异，故将研究不同时间段血糖波动对于2型糖尿病大鼠的胰岛素抵抗及胰岛β细胞的影响。

Modern medicine holds that Type 2 diabetes (T2DM)'s prognosis is related to the overall glycemic control level as well as blood glucose fluctuation, which can be monitored by continuous glucose monitoring system (CGMS). While TCM Qi and Blood circulation theory holds that in 24 hours Qi and Blood run through human's 12 meridians successively every two hours. To improve clinical efficacy according to these two theories, one hypothesis is proposed that there should be relationship between blood glucose fluctuation parameters and the rule of Qi and Blood's running. So a clinic research will divide human's 24 hours blood glucose data from CGMS into 36 segments according to ancient Chinese 12-time units and study the fluctuation parameters of each segment so as to detect the aforesaid relationship. Then, another hypothesis is proposed that patients’ different syndrome(constitution) can be distinguished by Zang and Fu’ diversity derived from the relationship. So it will be tried via time series analysis to establish a 12-time units based blood glucose prediction model, of which and patients’ history as well as syndrome(constitution) a database software consists. Thus basic research evidence can be provided from a time medicine perspective on T2DM patients’ blood glucose intervention and Differential Treatment. Last but not least, a hypothesis is proposed that the aforesaid relationship results in that the influence to pancreas varies from different blood glucose's fluctuation. Thus an experiment is designed to study the influence of different blood glucose's fluctuation to type 2 diabetic rats’ insulin resistance and islet β cell.