Objective Base on the theory of traditional Chinese medicine (TCM), obtained human diagnostic information available for joint syndrome differentiation is integrated based on subjective and objective combined syndrome differentiation, in the form of data expression of TCM four diagnosis, forms multiple information fusion of open platform for TCM diagnosis and treatment, and provides some revelation for promoting the development of depression and treatment technology. Methods Totally 30 depression patients and 30 normal people were selected according to the inclusion criteria. TCM four diagnostic and auxiliary diagnosis instrument was used to collect information of four diagnosis, and the statistical software was used for the analysis on pulse diagnosis, and information features of digitalized tongue and listening diagnosis of patients in depression group and normal group were studied. Results Compared with depression group, pulse frequency, fluency, and heart rate of normal group were a bit higher than depression group, without statistical significance (P>0.05);There was statistical significance among pulse frequency, strength, tightness, and pulse wave velocity between the normal group and depression group (P<0.05). 30 patients had 6 depression syndrome types:heart-gallbladder qi deficiency (8 cases), phlegm-heat attacking internally (6 cases), fire excess from yin deficiency (6 cases), liver depression forming fire (6 cases), intense heart fire (3 cases), and heart-spleen deficiency (3 cases). Conclusion The results of differences in pulse diagram parameters were consistent with the theory of classical TCM pulse theory. The results of differences in pulse wave velocity conform to the modern medical research conclusion. TCM four diagnostic auxiliary diagnosis and treatment technology can realize the dynamic detection of depression patients with four diagnostic information, and establish diagnostic methods for depression based on digitalized four diagnostic auxiliary diagnosis.

Objective To investigate the relative activity of multidrug resistance P-glycoprotein in the plasma of breast cancer patients, analyze the expression of P-glycoprotein before and after chemotherapy and evaluate its clinical value. Methods The plasma of patients and chemical reagents were mixed and distributed into the 96-well plate. The plate was read at 340 nm absorbaace before and after reaction. The variation of absorbance for each well was calculated, and then relative activity of each sample was compared to the referent compound activity. The relative activity of over 30 % was taken as positive expression of the P-gp for each sample. Results The frequency of P-glycoprotein expression was significantly increased from 16.2 % before chemotherapy to 43.2 % after chemotherapy (P<0.05). The positive expression of P-glycoprotein before and after chemotherapy were 5/6 and 9/16, respectively, in patients with positive lymph node metastasis, and 1/6 and 7/16, respectively, in patients with negative lymph node metastasis. Conclusion The results of this preliminary study suggest in P-glycoprotein expression in plasma of patients play an important role in the selection of drugs, which may be useful to evaluate the prognosis for treatment of breast cancer patients.

Objective To explore the differences in behavior of anxiety individuals and the normal control under different feedback (positive feedback,negative feedback).Methods 400 university students were investigated using self-rating anxiety scale(SAS) and state anxiety inventory (SAI) and the data were analyzed with balloon analogue risk task.Results The score of anxiety group(24.28±6.12) was significantly lower (t=-2.25,P＜0.05) than that of control group(29.80±7.26) in the number of busting balloons.But in the number of busting balloons of positive and negative feedback condition,scores of anxiety group and control group were not significantly different(t=-1.82,P＞0.05;t=-1.78,P＞0.05).Conclusions Influence of anxiety on decision-making often manifests as risk aversion.