Objective To examine the impact of oncology nurses' compassion satisfaction and compassion fatigue on doctor-patient relationship satisfaction.Methods Questionnaire survey was conducted by 388 oncology nurses,the questionnaires include Professional Quality of Life Scale and DoctorPatient Relationship Satisfaction Scale.Results The total scores of compassion satisfaction was 34.22±7.19,the total scores of secondary traumatic was 26.32±6.12,the total scores of job burnout was 25.13±6.08,the total scores of doctor-patient relationship satisfaction was 4.24±0.75.Pearson correlation analysis showed that doctor-patient relationship satisfaction score was positively correlated with oncology nurses' compassion satisfaction (r=0.468,P ＜ 0.05),negatioely correlated with nurses' compassion fatigue factor scores (r=-0.182,-0.531).Regression analysis showed that compassion satisfaction,secondary traumatic,job burnout and night shift frequency were influencing factors of doctor-patient relationship satisfaction,which could explain29.2％ of the variance.Conclusions Improvement of the oncology nurses' compassion satisfaction and compassion fatigue can improve the doctor-patient relationship satisfaction and the quality of nursing service,and create a harmonious medical environment.

In this study, based on web database, 324 neurotoxic compounds and 234 non-neurotoxic compounds were selected as a data set for neurotoxicity discriminative model. 6 122 molecular descriptors, including charge distribution, physicochemical and geometrical descriptors,were calculated to characterize the molecular structure of neurotoxic compounds. The combination of Cfs Subset Evaluation and Best First-D1-N5 searching was used to select molecular descriptors. A discrimination model with high accuracy was built based on the support vector machine (SVM) approach. Meanwhile, the model accuracy, sensitivity and specificity were all above 80%. Besides, 30 traditional Chinese medicine compositions with neurotoxicity were set as external validation to further verify the model accuracy,with anaccuracy of 73.333%. Using the model, 13 potential neurotoxic compounds were screened from Sophorae subprostrate Radix,4 of them were verified by literatures. The results demonstrated that the discrimination model can be applied to screen neurotoxic compounds from Chinese medicinal materials.
Computer Simulation ; Drug Evaluation, Preclinical ; methods ; Medicine, Chinese Traditional ; methods ; Models, Theoretical ; Neurotoxins ; analysis ; chemistry ; Reproducibility of Results ; Support Vector Machine

AIM: To explore the effect and the corresponding mechanism of medium chain triglyceride (MCT) on CYP7A1 gene expression in mice. METHODS: C57BL/6J mice (15/group) were respectively received mash as AIN-93G formula (basic control BC), or 1% cholesterol supplemented AIN-93G formula (Chol), or 1% cholesterol and 14% long chain triglyceride (LCT) rich in myristic acid supplemented AIN-93G formula (Chol+LCT), or 1%cholesterol and 14% MCT (caprylic acid/capric acid: 3/1) supplemented AIN-93G formula (Chol+MCT) for 6 weeks. The change of serum total cholesterol (TC), the content of cholesterol in liver, the bile acid pool of mice and the expression of cholesterol 7-hydroxylase (CYP7A 1) gene were investigated. RESULTS: Compared to mice fed Chol diet, the mice fed Chol+MCT diet had the lower serum TC (P

Objective_To investigate whether hUCMSCs undergo malignant transformation when exposed to MCF-7B breast cancer microenvironment and whether the abnormal activation and over expression of STAT3 play an impor-tant role in this transformation.Methods_The experiment was divided into three groups:blank group ( hUCMSCs were separately cultured),experimental group(hUCMSCs were indirectly co-cultured with MCF-7B breast cancer cells),positive control group(MCF-7B breast cancer cells were separately cultured).Morphology of cells was detec-ted by invertedmicroscope.Cell cycle was detected by flow cytometry.The mRNA expression of STAT3, c-Myc and Bcl-xL was tested by real-time PCR.The protein expression and location of p-STAT3,c-Myc and Bcl-xL were detected by immunofluorescence.The protein expressions of p-STAT3,STAT3,c-Myc and Bcl-xL were also meas-ured by Western blot.Results_The experimental group cells showed typical morphology of the tumor cells.The cells proportion of experiment group in G1 phase was significantly lower than that of the blank group(P<0.05),but which in S and G2 phase were significantly higher than those of the blank group(P<0.05).The mRNA expression levels of STAT3 ,c-Myc and Bcl-xL in experimental group was significantly higher than those in blank group ( P<0.05).p-STAT3,STAT3,c-Myc and Bcl-xL protein were significantly higher than those of the blank group(P<0.05),and they were mainly located in the nuclei.The protein expression of STATS also showed significant changes in experimental group.Conclusions_hUCMSCs trends to malignant transformations when exposed to MCF-7B breast cancer microenvironment.The abnormal activation and over expression of STAT3 are of important factors leading to the malignant transformation of hUCMSCs.

Objective To establish a method predicting CTL epitopes of antigens in Yersinia pestis,which provides an effective research plan for epitnmics in Yersinia pestis.Methods CTL epitopes were predicted by nHLAPred.BIMAS and SYFPEITHI.Results CTL epitopes of LcrV antigen were detected as V8-16 NPQHFIEDL,V311-319 KYDSVMQRL and V258-264 SYNKDNNEL.Conclusions Prediction of CTL epitope can be used to make epitope mapping because of its hiigh accuracy.It may provide a reference for the epitope mapping plan.

Objective To evaluate the association of serum uric acid and the incidence and prognosis of kidney diseases systematically, so as to provide reference for the treatment and prevention of kidney diseases. Methods Literatures related to the associations between serum uric acid and incidence and prognosis of kidney diseases were selected from the Chinese Biomedical Literature Database ( CBM) (January 1982 to March 2010), EMBASE (January 1966 to March 2010) and Medline (January 1950 to March 2010) for cohort studies. Two researchers independently screened the studies, assessed the risk of bias of included studies using the Newcastle-Ottawa Quality Assessment Scale for Cohort Studies and extracted data. Stata 10. 0 was used to calculate the pooled relative risk. Results Twenty-one eligible cohort studies were selected, of which 11 on incidence of kidney diseases (n =276 801 ) , and 10 on the prognosis of kidney diseases ( n = 3004). Meta analysis was performed based on data influencing incidence and prognosis factors of kidney diseases except for serum uric acid. The results showed, (1) uric acid and incidence of kidney diseases: hyperuricemia could increase the risk of kidney diseases ( RR = 1. 49, 95% CI 1. 27-1. 75) ; (2) uric acid and prognosis of patients with kidney diseases:hyperuricemia could deteriorate the kidney function (RR = 1. 35, 95%CI 1. 12-1.63) and increase the risk of mortality (RR = 1.67, 95% CI 1.29-2.16). Conclusion Uric acid is an independent risk factor for incidence of kidney diseases and poor prognosis of patients with kidney diseases. Further high quality clinical trials with long-term follow up should be conducted to determine whether lowering uric acid levels would be of clinical benefit in the prevention and treatment of kidney diseases, so as to provide direct evidence for clarifying correlation between uric acid and kidney diseases and the prevention and treatment for patients with high uric acid.

Animals ; Astragalus membranaceus ; chemistry ; Drugs, Chinese Herbal ; pharmacology ; Female ; Intestine, Small ; blood supply ; Lipid Peroxidation ; drug effects ; Male ; Rabbits ; Random Allocation ; Reperfusion Injury ; physiopathology ; prevention & control ; Superoxide Dismutase ; metabolism

On the basis of web databases, 111 compounds with nephrotoxicity and 90 compounds without nephrotoxicity were collected as data set of nephrotoxicity discrimination model, 39 compounds with tubular necrosis and 39 compounds without tubular necrosis were collected as data set of tubular necrosis discrimination model. The 6 122 molecular descriptors, including physicochemical, charge distribution and geometrical descriptors were calculated to characterize the molecular structure of the above-mentioned compounds. CfsSubsetEval valuation method and BestFirst-D1-N5 searching method were used to select molecular descriptors. Two models with high accuracy were built based on the support vector machine (SVM) approach, respectively. Accuracy, sensitivity, specificity and matthew's correlation coefficient of the two models were all above 70%. By using 22 nephrotoxicity compounds of Chinese medicine, the nephrotoxicity discrimination model was further verified with an accuracy of 72.73%. Using the tubular necrosis discrimination model, 10 potential compounds which can cause tubular necrosis were screened from the positive results of nephrotoxicity discrimination model, 6 of them have been verified by literatures. The results demonstrated that the discrimination models can be applied to screen nephrotoxic compounds from Chinese medicinal materials, and they also offer a new research idea for the further studies on the mechanism of nephrotoxicity.
Drugs, Chinese Herbal ; toxicity ; Nephrons ; drug effects ; Support Vector Machine ; Toxicity Tests ; instrumentation ; methods

China ; epidemiology ; Humans ; Occupational Diseases ; epidemiology

Medicinal properties are specific attributes of traditional Chinese medicines(TCM). The medicinal property theory is an important principle for the compatibility of traditional Chinese medicines. In this paper, medicinal properties, flavors and meridian tropism were combined to represent TCM medicinal properties; and multiple medicinal properties were further combined into medicinal property combination modes. TCMs and medicinal property combination modes were divided according to their efficacies, which were regarded as the concept of inductive logic programming and finally got medicinal property combination and compatibility rules with different efficacies. These medicinal property combination and compatibility rules were used to form the theoretical model through the entity grammar system, realize the automatic reasoning process from the medicinal property combination and compatibility to the efficacies, verify the reasoning result and analyze their rationality and limitations, in order to provide new ideas for revealing the relations between the TCM compatibility rules and efficacies.
Drug Interactions ; Drug Therapy, Combination ; methods ; standards ; Drugs, Chinese Herbal ; chemistry ; therapeutic use ; Humans ; Meridians ; Models, Theoretical