Objective To observe the effects of"Sleep Recipe"on the behavior,brain tissue and central neurotransmitters of insomnia rats.Methods The male rats with SD were randomly divided into control group,model group,sleep formula group,and eszolam group,with 10 rats in each group,and the insomnia model was constructed by intraperitoneal injection of P-chlorphenylalanine(PCPA).After successful modeling,the control group and the model group were given saline gavage,and the medylom group and eszolam group were given drug gavage.The insomnia-like behavior of rats in each group was evaluated by pentobarbital sodium correction experiment and open field experiment,Hematoxlin and eosin(HE)staining observed the pathological changes of rat cerebral cortex,hippocampus,and hypothalamic tissue,and Enzyme-linked mmunosorbent assay(ELISA)was used to determine the expression levels of Gamma-aminobutyric acid(GABA),5-hydroxytryptamine(5-HT).Results The sleep latency of rats in the model group was significantly elongated(P<0.01),while the sleep time was less(P<0.01),and the mental state and fur color were poor,significantly decreased in body weight(P<0.01).Compared with the model group,the sleep latency was significantly shortened(P<0.01),the sleep duration was significantly prolonged(P<0.01),and the body mass was significantly increased(P<0.05,P<0.01);In the open field experiment,the total activity distance of rats in the model group increased,the average speed and central region residence time decreased(P<0.05),the total activity distance of rats in the Sleep Formula group and Eszolam group decreased significantly(P<0.05),the average speed increased and the central region residence time increased(P<0.05).HE results showed that the number of neurons,morphological structure and arrangement of neurons,such as cerebral cortex,hippocampus and hypothalamus in the model group,were damaged to varying degrees,and the sleep formula group and estazolam group were significantly improved.ELISA results showed that the expression of 5-HT and GABA in the cerebral cortex and hypothalamus of rats in the model group was significantly reduced(P<0.01,P<0.05),and the expression of GABA in hippocampal tissues was also significantly reduced(P<0.01).The protein expression levels of cerebral cortical GABA,hypothalamic GABA and 5-HT in the Sleep Formula group were significantly increased(P<0.01).Conclusion Sleep Formula can improve the mental state,restore normal body weight,improve sleep efficiency,and reduce anxiety and tension in insomnia rats.The mechanism may be related to increasing the content of 5-HT and GABA,and inhibiting the spread and conduction of hypothalamic and brainstem pro-awakening nuclei.

Objective To explore the significance of abnormal lipid metabolism induced by hypoxia in mice with pulmonary hypertension.Methods Thirty male C57BL/6 mice were chosen and were randomly divided into the model group and the control group, each consisting of 15 animals.The mice in the model group were exposed to chronic hypoxia for the development of hypoxic pul -monary hypertension model , and the mice in the control group were housed in the chamber at the normal ambient air .Right heart cathe-terization was used to measure right ventricular systolic pressure in the 2 groups, Masson method was used to observe the small pulmona-ry vascular vessel remodeling , and the ELISA method was used to detect levels of high density lipoprotein ( HDL-C) , cholesterol ( TC) and low density lipoprotein (LDL-C).The expressions of HMG-CoA reductase (HMGCR), low density lipoprotein receptor (LDLR) and ATP binding cassette transporter A1 (ABCA1) gene in the liver tissue were detected by real-time quantitative PCR.Results The right ventricular systolic pressure (40.12 ±8.22) mmHg(1 mmHg=0.133 kPa) and right ventricular hypertrophy index (0.352 ± 0.050) in the model group were significantly higher than those in the control group (P<0.05).The pulmonary artery vascular wall of the model group was significantly thicker than that of the control group .The HDL-C level of the model group was (26.20 ±3.73) mg/dl, which was significantly lower than that of the control group (P<0.05).There was no statistical significance in the levels of TC and

OBJECTIVETo explore the value of application of support vector machine-recursive feature elimination (SVM-RFE) method in Raman spectroscopy for differential diagnosis of benign and malignant breast diseases.

METHODSFresh breast tissue samples of 168 patients (all female; ages 22-75) were obtained by routine surgical resection from May 2011 to May 2012 at the Department of Breast Surgery, the First Hospital of Jilin University. Among them, there were 51 normal tissues, 66 benign and 51 malignant breast lesions. All the specimens were assessed by Raman spectroscopy, and the SVM-RFE algorithm was used to process the data and build the mathematical model. Mahalanobis distance and spectral residuals were used as discriminating criteria to evaluate this data-processing method.

RESULTS1 800 Raman spectra were acquired from the fresh samples of human breast tissues. Based on spectral profiles, the presence of 1 078, 1 267, 1 301, 1 437, 1 653, and 1 743 cm(-1) peaks were identified in the normal tissues; and 1 281, 1 341, 1 381, 1 417, 1 465, 1 530, and 1 637 cm(-1) peaks were found in the benign and malignant tissues. The main characteristic peaks differentiating benign and malignant lesions were 1 340 and 1 480 cm(-1). The accuracy of SVM-RFE in discriminating normal and malignant lesions was 100.0%, while that in the assessment of benign lesions was 93.0%.

CONCLUSIONSThere are distinct differences among the Raman spectra of normal, benign and malignant breast tissues, and SVM-RFE method can be used to build differentiation model of breast lesions.

Algorithms ; Breast Diseases ; diagnosis ; Breast Neoplasms ; diagnosis ; Diagnosis, Differential ; Female ; Humans ; Spectrum Analysis, Raman ; Support Vector Machine