With the progress and development of science and technology, biomedical technology has been widely used in traditional Chinese medicine (TCM) research. However, TCM and Western medicine developed and came into being at different times and from different cultural backgrounds. Their targets are to study and explore the objective laws of human life activities from different angles and by different means. To study and evaluate TCM simply by the diagnosis and treatment standards of Western medicine cannot truly reflect the characteristics of TCM. Lots of clinical phenomena in the diagnosis and treatment in TCM cannot be revealed scientifically. It might be a significant pattern to combine the study of TCM with Western medicine, based on double-screening model of combining disease with syndrome types, following up evidence-based medical research steps, and making use of systematic review and data mining to analyze the inherent laws of TCM symptoms.

Objective Through smdying the distribution of the Sappan acetic ether extract in transplanted heart of rats,to discuss selectivity of sappan in donor's hearts.Methods Improved Ono model was used to replicate the heart transplantation model of rats.Successfully operated rats were separated into 2 groups:a model group and a sappan group.Distributions of sappan in transplanted heart were observed by HPLC-FPC.Results One kind of original substance.of sappan was detected in transplanted heart sample,but not in un-transplanted hearts.Conclusion The substance of sappan may have selectivity in transplanted heart.

Objective In order to grasp the status quo of the internship nursing students' evidence awareness in our province, to improve the teaching measures, and to promote nursing safety. Methods We delivered questionnaires to 480 nursing students who were exercising practice in some major hospitals in our province about their contemporary consciousness of evidence, the results underwent analysis. Results The results showed that the awareness of nursing evidence was very poor in the new period. Conclusions It's imperative to enhance the normative education about evidence awareness among the nursing students.

Objective To explore the effect of 1-alpha,25-dihydroxy-cholecalcifero(1,25(OH)2D3)on liver fibrosis and its mechanism. Methods Degree of liver fibrosis was assessed through pathological detection and blood biochemical examination of liver function. Immunohistochemical assay was used to detect expressions of α-SMA,TGF-βand collagen I to observe activation level of hepatic stellate cells. Impact of 1,25(OH)2D3 on CD4+T cell differentiation was analyzed by flow cytometry,ELISA,and RT-PCR. Results 1,25(OH)2D3 improved the structure of the liver tissue and liver fibrosis. Expressions of collagen I ,TGF-βandα-SMA were significantly ele-vated in the liver tissue in rats with fibrosis(P < 0.05)but were markedly decreased after treatment with 1,25 (OH)2D3(P < 0.05). After 1,25(OH)2D3 treatment,the proportion of Th17 cells reduced while that of Th2 in-creased;concentration levels of IFNγ,IL-17A,and IL-22 markedly declined but IL-4 elevated(P>0.01);and ex-pressions of RORγt and T-bet decreased whereas GATA3 expression increased(P>0.01);as compared with those in the control group. Conclusions 1,25(OH)2D3 can alleviate the degree of liver tissue by lowering HSC activation and regulating Th cell differentiation.

This study was aimed to establish a rapid discrimination method of Pinellia ternataand its adulterants based on the odour fingerprints analysis.Typhonium flagelliforme and Arisaema Rhizome,which were the common adulterants of Pinellia ternata,were collected.The adulterants were mixed with Pinellia ternatain different proportions.E-nose technology was used to obtain the odour fingerprints of Pinellia ternataand its adulterants of different types and proportions.Chemometrics methods,such as the analysis of variance (ANOVA),principal component analysis (PCA) and discriminant factor analysis (DFA) were used in the analysis and discrimination on sensors response data collected by sensors.The results showed that there were obvious differences on the odour characteristics between Pinellia ternateand its adulterants.PCA can obviously discriminate Pinellia ternateand its adulterants.And the odour difference became obvious along with the increasing of the adulteration proportion.There was a linear relationship between e-nose signal and the proportion of Typhonium flagelliforme.The cumulative proportion in ANOVA of the DFA model was 100%.The correct recognition rate was not less than 97%.It was concluded that e-nose can be used for rapid discrimination of Pinellia ternataand its adulterants.This study provided new technology and method for the discrimination of adulterants of Chinese materia medica.

Objective:To explore the cooperation and clinical significance of HIF-1α,ALDH1 and Hedgehog signaling pathway in the activation of cancer stem cell(CSC) in triple negative breast cancer(TNBC).Methods: ALDH1+(Aldehyde dehydrogenase1)breast cancer stem cells and ALDH1-breast cancer cells were selected from MDA-MB-231 cells by magnetic activated cell sorting system(MACS),qRT-PCR method was employed to analyze the expression differences of HIF-1α and Hedgehog signaling molecules Sonic hedgehog(SHH),patched1(PTCH1),Smoothened(SMO) and Glioma-associated oncogene homoglog1(GLI1) in ALDH1+ breast cancer stem cells and ALDH1-breast cancer cells.Immunohistochemical method was applied to study the expressions of HIF-1α and ALDH1 and the relationships among HIF-1α,ALDH1 and Hedgehog signaling molecules in TNBC.Results: The expressions of HIF-1α mRNA,SMO mRNA and GLI1 mRNA in ALDH1+ breast cancer stem cell were higher than those in ALDH1-breast cancer cell(P all<0.05).The positive expression rates of HIF-1α were 90.0% and 70.0%,and the positive rates of ALDH1 were 93.3 % and 66.7 % in TNBC and non-TNBC,respectively(P all<0.05).Spearman rank correlation analysis showed that the expression of HIF-1α was positively related with that of ALDH1 in TNBC(r=0.53,P<0.01).HIF-1α expression was correlated with lymph node metastasis and TNM stage(P all<0.05),ALDH1 expression was correlated with histological grade and TNM stage(P all<0.05).In addition,the expression of HIF-1α was positively related with that of Hedgehog signaling molecules SHH(r=0.584,P<0.01),SMO(r=0.467,P<0.01) and GLI1(r=0.439,P<0.05),the expression of ALDH1 was positively related with that of SHH(r=0.426,P<0.05) and GLI1(r=0.394,P<0.05).Conclusion: HIF-1α and Hedgehog signaling pathway were activated in ALDH1+ breast cancer stem cell.HIF-1α,ALDH1 and Hedgehog molecules may cooperate with each other to activate breast CSC to promote the malignant progression of TNBC.

Rhizoma Pinelliae Fermentata(RPF)wasoneofthecommonlyusedChinesemateriamedica(CMM). According to the ancient and modern literatures on RPF, the historical evolution, fermentation methods, chemical compositions, efficacy and microbes of RPF were systematically summarized in this paper. Through the analysis on existing problems of fermentation strains, effective components, quality standard and fermentation process, the corresponding solutions were proposed. This work may provide an idea and reference for the further study of RPF.

Objective To determine whether unilateral-only interictal discharges on pre-surgical scalp EEG or multimodal pre-surgical evaluation are associated with surgical outcomes in patients with MR imaging-negative temporal lobe epilepsy (TLE) who underwent standard anterior temporal lobectomy (ATL). Methods One hundred and seventeen patients with TLE who underwent standard ATL from January 2000 to December 2013 were enrolled. According to the seizures at interictal period, these patients were divided into unilateral-only interictal discharge group (n=54) and bilateral interictal discharge group (n=63). According to the preoperative assessment, these patients were divided into multimodal evaluation group (n=72, two and above evaluation strategies besides electroencephalogram) and single modal evaluation group (n=45, electroencephalogram+one evaluation strategy). Follow-up for 12 months was performed; postsurgical outcomes included excellent outcome, defined as Engel class I, and non-excellent outcome, defined as Engel II-IV. Kaplan-Meier survival analysis and Cox proportion hazards were performed to compare the prognoses of patients from different groups. Results Totally, 73 patients (62.4%) achieved excellent outcome following ATL. In 54 with unilateral-only interictal discharges, 41 had excellent outcome; and in 63 with bilateral interictal discharge group, 32 patients had excellent outcome; significant difference in percentage of excellent outcome was noted between the two groups (P<0.05). Fifty of 72 patients receiving multimodal pre-surgical evaluation achieved excellent outcome, and 25 of 45 receiving single modal evaluation achieved excellent outcome; significant difference in percentage of excellent outcome was noted between the two groups (P<0.05). However, the patients with unilateral-only interictal discharges receiving multimodal pre-surgical assessment did not achieve further excellent outcomes as compared with those receiving single modal evaluation, without significant difference (P>0.05). Conclusion Multimodal pre-surgical evaluation is associated with better outcomes following standard ATL in the patients with MR imaging-negative TLE; however, for patients with unilateral-only interictal discharges, multimodal pre-surgical evaluation method may be not essential as compared with single modal pre-surgical evaluation method.

Objective:To examine whether the combination of quantitative regional apparent diffusion coefficient (ADC) and amplitude-integrated electroencephalogram (aEEG) can predict the outcome of comatose patients with severe traumatic brain injury (sTBI).Methods:A prospective study was conducted. The patients with coma caused by sTBI [Glasgow coma scale (GCS) < 8] admitted to Suqian First Hospital from January 2016 to June 2019 were enrolled. All patients underwent aEEG examination and magnetic resonance imaging (MRI) scan within 1 week after emergency treatment. The ADC values of 9 regions of interest (frontal gray matter and white matter, parietal gray matter and white matter, temporal gray matter and white matter, caudate nucleus of basal ganglia, lenticular nucleus and thalamus) were measured by head MRI, and the mean ADC values of frontal lobe, parietal lobe, temporal lobe and basal ganglia were calculated respectively. According to the follow-up results after 12 months, the differences of each index between patients with poor prognosis [Glasgow outcome score (GOS) 1-2] and patients with good prognosis (GOS 3-5) were compared; the receiver operating characteristic curve (ROC curve) was drawn to evaluate the predictive ability of aEEG and ADC for the good prognosis of patients with sTBI, and the predictive value of the combination of aEEG and ADC.Results:A total of 52 patients with sTBI were enrolled, with mean age of (36.7±13.9) years old, 35 of whom were male. Within 12 months follow-up, 29 patients had achieved favorable outcomes and 23 patients had unfavorable outcome. There were 21, 17 and 14 patients with aEEG , and grade, respectively, and 19, 10 and 0 patients had good prognosis respectively. ADC values of 9 regions of interest in patients with good prognosis were significantly higher than those in patients with poor prognosis (×10 -6 mm 2/s: 924±107 vs. 531±87 in frontal gray matter, 804±95 vs. 481±74 in frontal white matter, 831±93 vs. 683±72 in temporal gray matter, 726±87 vs. 654±63 in temporal white matter, 767±79 vs. 690±75 in parietal gray matter, 716±84 vs. 642±62 in parietal white matter, 689±70 vs. 465±68 in caudate nucleus, 723±84 vs. 587±71 in lenticular nucleus, 807±79 vs. 497±67 in thalamus, all P < 0.01). ROC curve analysis showed that the area under ROC curve (AUC) of aEEG for predicting good prognosis of sTBI patients was 0.826, when the cut-off value of aEEG was < 1.5, the sensitivity was 94.7% and the specificity was 72.8%. Among the ADC value prediction abilities in the interested areas, the prediction of ADC value in frontal lobe and basal ganglia area were better than that in sTBI patients. AUC was 0.817 and 0.903 respectively. The best cut-off values were > 726×10 -6 mm 2/s and > 624×10 -6 mm 2/s respectively, the sensitivity of predicting prognosis were both 100%, and the specificity was 63.4% and 61.8%. A model combining frontal ADC and basal ganglia ADC with aEEG was 91.0% sensitive and 93.7% specific for favorable outcome of sTBI patients. Conclusion:Combination of the quantitative measurement of regional ADC and aEEG may be useful for predicting the outcome of the patients with sTBI.

Objective To study the clinical value of amplitude integrated EEG(aEEG),EEG reactivity,EEG patterns,and Glasgow Coma Scale(GCS) scores of predicting the prognosis in comatose patients with severe traumatic brain injury.Methods Sixty-four hospitalized comatose patients with severe traumatic brain injury were evaluated by aEEG,EEG reactivity,EEG patterns and GCS and followed up for one year to observe the prognosis of the patients.Results Accuracy of aEEG,EEG reactivity,EEG patterns and GCS in predicting outcomes of comatose patients with severe traumatic brain injury correctly classified as 73.4％,68.8％,73.4％,64.1％ respectively.The accuracy of GCS in evaluating the prognosis of comatose patients with severe traumatic brain injury was lower than that of the other three methods (P＜0.05).There were positive correlations among aEEG,EEG reactivity,EEG patterns,and GCS (r=0.574-0.843,P＜ 0.05).There were positive correlations between aEEG,EEG reactivity,EEG patterns,GCS and the patients' prognosis(r=0.647,0.609,0.621,0.532,P＜ 0.05).Conclusion As a new electroencephalographic technique,aEEG combined with EEG reactivity,EEG patterns,and GCS can be effectively used to evaluate the prognosis of STBI coma patients,which has a certain clinical value.