ABSTRACT
Objective To explore the serum metabolomics mechanism of Tiansi Liquid on chronic stress rats. Methods The chronic unpredictable mild stress model with ovariectomization was utilized by giving Tiansi Liquid 3.5 g/kg, detection was carried out by Morris water maze and NMR metabolomics after six weeks of administration. Results The Morris water maze result showed that, compared with the control group, the distance to zone platform prolonged (P < 0.01) and the times of passing platform decreased (P < 0.05) in model group. While, the distance to zone platform shortened (P < 0.01) and the times of passing platform increased in treatment group compared with the model group. The NMR metabolomics showed that compared with the control group, the contents of alanine, allantoin, arginine, creatine, pyruvate, and serine were increased in model group, and the contents of asparagine, carnitine, glycerol, N,N-dimethylglycine, N-acetylglutamine, threonine, and valine were decreased in model group. The contents of glucose, glutamine, and methylhistidine in model group show different trends at different chemical shift. Compared with model group, the content of arginine and alanine were decreased in treatment group. Compared with the control group, the content of valine, arginine, glutamine, acetoacetate, asparagine, lysine, glycerol, carnitine, and threonine were decreased in treatment group, while the content of allantoin was increased in treatment group. Conclusion The main metabolomics effect of Tiansi Liquid on chronic stress rats was amino acid metabolism.
ABSTRACT
Objective To obtain the elasticity value of solid breast lesions with supersonic shear wave elastrography (SWE) and apply the binary Logistic regression in order to evaluate the value of SWE in differential diagnosis of benign and malignant breast lesions. Methods SWE quantitative elastography was preformed in 91 breast lesions of 91 patients in Zhenghai Longsai Hospital to obtain the maximum and mean elasticity value (Emax, Emean). And receiver operating characteristic (ROC) curves were used to assess the diagnostic performance. A Logistic regression for the gray scale ultrasound and the elastic modulus was conducted with multiple variables including Emax, Emean, border, echo, form, calcification. Results Pathological examination showed 73 benign lesions and 18 malignant lesions. Emax and Emean of malignant lesions were obviously higher than those of benign lesions [(99.73±41.15) kPa vs (38.59±14.28) kPa, (61.45±24.88) kPa vs (23.46±11.44) kPa, t=-15.05,-14.12, both P=0.000]. The area under the ROC curve of Emax and Emean were 0.932 and 0.915. Taking 63.70 kPa as the threshold of Emax, the sensitivity was 77.8%and the speciifcity was 97.3%. Then taking 44.22 kPa as the threshold of Emean, the sensitivity was 83.3%and the speciifcity was 94.5%. The results of Logistic regression analysis showed:the 3 most effective variables were Emax, border of the lesions and Emean. Conclusions The multivariate analysis model of binary Logistic regression can select the valuable indexes of differential diagnosis of benign and malignant breast lesions. SWE plays an important role in differentiating benign and malignant lesions and it is valuable in clinical practice.