BackgroundMetabolic syndrome （MetS） is highly prevalent in patients with mental disorders， including elevated diastolic or systolic blood pressure， elevated fasting glucose， hypercholesterolemia， abdominal obesity and so on. As an important component of MetS， the relationship between hypercholesterolemia and mental disorder has been extensively reported， whereas few genome-wide association studies （GWAS） have been conducted to identify the causal role of mental disorders in hypercholesterolemia. ObjectiveTo explore the potential causal relationship between mental disorders and hypercholesterolemia by two-sample Mendelian randomization （MR） method. MethodsSummary data from GWAS were analyzed. Single nucleotide polymorphisms （SNPs） strongly associated with mental disorders were chosen as instrumental variables， and hypercholesterolemia was used as outcome variable. MR analysis utilized inverse-variance weighted （IVW）， MR-Egger regression and weighted median estimation （WME） as the primary analytical tool， and supplemented by simple mode （SM） and weighted mode （WM）. The causal relationship between mental disorders and the risk of hypercholesterolemia was illustrated in terms of odds ratio （OR）. ResultsA total of 36 SNPs associated with mental disorders were identified as instrumental variables. The primary findings from IVW revealed existence of a causal relationship between mental disorders and hypercholesterolemia （IVW： OR=1.067， 95% CI： 1.026~1.109， P=0.001）. Findings from the additional methods （MR-Egger regression， WME， SM， WM） were basically consistent with those reported in IVW method. Further verification indicated that the causal relationship between mental disorders and the risk of hypercholesterolemia was not affected by genetic polymorphism （P>0.05）. The absence of heterogeneity was confirmed through Cochran's Q test and MR-Egger regression （P>0.05）. Furthermore， no causal association in the reverse direction was found （P>0.05）. ConclusionThere is a causal relationship between mental disorders and hypercholesterolemia， and patients with mental disorders may have an increased probability of suffering from hypercholesterolemia.

Background The course of schizophrenia is prolonged,and patients have impaired social function and significantly reduced quality of life.Drug therapy combined with psychological therapy is particularly important for improving the quality of life of patients.Brief cognitive behavioral therapy(BCBT)has been widely applied in clinical practice,but current research on BCBT focuses more on improving patients' symptoms and lacks relevant reports on improving quality of life.Objective To evaluate the efficacy and influencing factors of BCBT combined with conventional treatment on improving the quality of life in patients with schizophrenia.Methods A total of 210 patients who met the diagnostic criteria for schizophrenia in the International Classification of Diseases(10th edition)(ICD-10)and were followed up at the outpatient department of Beijing Anding Hospital Capital Medical University from August 2011 to December 2016 were selected.Using a random number table method,patients were divided into study group and control group,with 105 cases in each group.Both groups received routine treatment,and the research group received a total of 8 BCBT sessions for 12 weeks on this basis.At the baseline period and 12 weeks of treatment,26 weeks of follow-up and 52 weeks of follow-up,Positive and Negative Syndrome Scale(PANSS),Personal and Social Performance Scale(PSP)and World Health Organization Quality of Life Brief(WHOQOL-BREF)were used for evaluation.Results The results of repeated measures analysis of variance showed that the time point effect and interaction effect of PANSS total score were statistically significant(F=118.783,8.083,P<0.01).The time point effect,inter group effect and interaction effect of PSP total score were statistically significant(F=94.358,4.048,5.490,P<0.05 or 0.01).The time point effect,inter group effect and interaction effect of the total score of WHOQOL-BREF were all statistically significant(F=12.330,4.168,4.142,P<0.05 or 0.01)Binary Logistic regression analysis showed that the study group(OR=1.861,95%CI:1.004～3.448)and young age(OR=1.044,95%CI:1.001～1.088)were protective factors for improving quality of life of patients,while high PANSS baseline score(OR=0.972,95%CI:0.945～0.999)was a risk factor for improving quality of life of patients.Conclusion The combination of BCBT and conventional treatment has an earlier onset of improvement in the quality of life of patients with schizophrenia,and long-term efficacy is superior to conventional treatment.

Objective This paper focuses on the field of clinical medicine,with the aim of verifying the feasibility of interdisciplinary literature evaluation model based on feature matching method,to provide support for further interdisciplinary scientific research evaluation.Methods Feature matching method,Delphi expert enquiry,and normalization method were adopted to establish an evaluation system in clinical medicine,which was further verified by case studies.Results The normalization coefficient reflects the difficulty of publishing articles with high impact factors.Through the process of feature matching and normalization,it was found that compared with the fields of Neurology,Psychiatry and Surgery,researchers in the fields of Oncology and Internal Medicine were more likely to publish articles with high impact factors.Conclusions Through case analysis,this study verifies the feasibility of interdisciplinary scientific paper evaluation system.The interdisciplinary paper evaluation system based on feature matching method and normalized evaluation method comprehensively considers the characteristics of various disciplines of clinical medicine and provides a new idea for the evaluation of clinical scientific research talents.

Venous thromboembolism (VTE) is one of common complications in hospitalized patients. Hospitalized patient tend to have high risk factors to develop VTE. As an important part of VTE prevention and treatment, it is of great significance for nurses to accurately identify risk factors, to conduct risk assessment of VTE in a timely manner, and to take appropriate preventive measures.

Objective: To screen out the potential gene biomarkers to predict responses to neoadjuvant chemoradiotherapy (CRT) in patients with rectal cancer and to explore the main downstream pathways of resistance. Methods: The gene expression profiles (GSE35452) of locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy from 46 specimens (24 responders, TRG 0/1, and 22 non-responders, TRG 2/3) were downloaded from the GEO database. The differentially expressed genes were identified to screen out the potential biomarkers by use of the GCBI platform. GO and KEGG pathways enrichment analysis were performed to integrate enrichment results of differentially expressed genes. Signal-signal interaction network was constructed and analyzed to screen out potential main downstream pathways. Results: A total of 1079 differentially expressed genes were screened, including 657 up-regulated and 422 down-regulated ones. Among these genes, REG4 had the maximum fold change value of -6.029 491. In GO term, these differentially expressed genes were mainly enriched in molecule metabolic process, cell cycle, DNA-dependent transcription, signal transduction and apoptotic process. The KEGG pathways enrichment analysis showed that the differentially expressed genes were enriched in 65 KEGG pathways, including metabolic pathways, cell cycle and metabolism pathways. Signal-signal interaction network analysis showed that MAPK signaling pathway and cell cycle pathway might play a determinant role in the development of neoadjuvant chemoradiotherapy resistance. Further analysis showed that CDKN1B, CDKN2A, RBL1, TFDP1, CCND2, CCNE2, CDC6 and CDK6 in cell cycle might induce chemoradiotherapy resistance by blocking G1/S phase cell cycle arrest, decreasing the apoptosis of tumor cells and increasing S phase ratio of chemoradiotherapy resistance. Conclusion G1/S phase cell cycle arrest blocking plays an important role in the development of chemoradiotherapy resistance in patients with rectal cancer. Moreover, the key genes, such as REG4, may be useful in predicting responses to neoadjuvant chemoradiotherapy.

Objective Investigate the relationship between gross tumor volume (GTV)-related factors including GTV-T volume,the maximum thickness of the esophageal lesion plane and GTV-T volume/length(GTV-T volume divided by the length of the lesion calculated by the number of GTV-T layers) and the locoregional failure of radical intensity-modulated radiation therapy (IMRT) for esophageal carcinoma.Methods A total of 133 patients with esophageal cancer undergoing radical IMRT were enrolled.The factors related to GTV-T including GTV-T volume,the maximum thickness of the esophageal lesions,GTV-T volume/length were calculated.The relationship between GTV-T related factors and local recurrence of tumors was retrospectively analyzed.Results There was positively linear association between the locoregional failure rate of GTV-T and the volume of GTV-T.The volume of GTV-T tumor was 36 cm3,the maximum wall thickness was 2.5 cm,and the GTV-T volume/length was calculated as 5.3 cm2.These critical values could be utilized to predict the risk of locoregional failure of IMRT for esophageal carcinoma.Conclusions The GTV-T factors can be adopted to predict the local control and the risk of locoregional failure of radical IMRT for esophageal carcinoma to certain extent.

Objective To investigate the safety and efficacy of 177Lu-prostate specific membrane antigen (PSMA)-617 in the treatment of metastatic castration-resistant prostate cancer (mCRPC).Methods From August 2017 to September 2018,11 patients(average age 70.6 years) with mCRPC who underwent 177Lu-PSMA-617 therapy in Nanjing First Hospital were studied.All patients underwent 68Ga-PSMA-11 PET/CT before therapy to assess the tumor radioactive uptake.Blood routine examination and renal function test results were documented before and after therapy to assess the safety.The efficacy was reflected by the changes of prostate specific antigen (PSA) levels and maximum standardized uptake value (SUVmax) on 68Ga-PSMA-11 PET/CT imaging.Paired t test and Wilcoxon's sign rank test were used to analyze the data.Results No acute side effects were observed after therapy of 177Lu-PSMA-617.There were no statistically significant differences after therapy in WBC counts,RBC counts,and PLT,as well as Hb levels (t values:-0.28-1.11,all P＞ 0.05).No kidney toxicity was found.The PSA level after 177Lu-PSMA-617 therapy was significantly lower than that before therapy (80.70 (14.29,1 538.00) μg/L vs 604.60 (88.41,3 980.00) μg/L;u =59,P =0.023).Of the 11 patients,only 2 had elevated PSA levels and disease progression,while the other 9 patients had varying decreases,of which 2/11 decreased by ＞30％ and 7/11 decreased by ＞50％.After therapy,SUVmax of metastatic lesions and metastatic lymph nodes were decreased in 9 and 2 patients respectively.Conclusions 177Lu-PSMA-617 has a good therapeutic value for mCRPC.It is safe and has no obvious side effects.

Objective To screen out the potential gene biomarkers to predict responses to neoadjuvant chemoradiotherapy (CRT) in patients with rectal cancer and to explore the main downstream pathways of resistance. Methods The gene expression profiles (GSE35452) of locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy from 46 specimens (24 responders, TRG 0/1, and 22 non?responders, TRG 2/3) were downloaded from the GEO database. The differentially expressed genes were identified to screen out the potential biomarkers by use of the GCBI platform. GO and KEGG pathways enrichment analysis were performed to integrate enrichment results of differentially expressed genes. Signal?signal interaction network was constructed and analyzed to screen out potential main downstream pathways. Results A total of 1079 differentially expressed genes were screened, including 657 up?regulated and 422 down?regulated ones. Among these genes, REG4 had the maximum fold change value of –6.029 491. In GO term, these differentially expressed genes were mainly enriched in molecule metabolic process, cell cycle, DNA?dependent transcription, signal transduction and apoptotic process. The KEGG pathways enrichment analysis showed that the differentially expressed genes were enriched in 65 KEGG pathways, including metabolic pathways, cell cycle and metabolism pathways. Signal?signal interaction network analysis showed that MAPK signaling pathway and cell cycle pathway might play a determinant role in the development of neoadjuvant chemoradiotherapy resistance. Further analysis showed that CDKN1B, CDKN2A, RBL1, TFDP1, CCND2, CCNE2, CDC6 and CDK6 in cell cycle might induce chemoradiotherapy resistance by blocking G1/S phase cell cycle arrest, decreasing the apoptosis of tumor cells and increasing S phase ratio of chemoradiotherapy resistance. Conclusion G1/S phase cell cycle arrest blocking plays an important role in the development of chemoradiotherapy resistance in patients with rectal cancer. Moreover, the key genes, such as REG4, may be useful in predicting responses to neoadjuvant chemoradiotherapy.

Objective To screen out the potential gene biomarkers to predict responses to neoadjuvant chemoradiotherapy (CRT) in patients with rectal cancer and to explore the main downstream pathways of resistance. Methods The gene expression profiles (GSE35452) of locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy from 46 specimens (24 responders, TRG 0/1, and 22 non?responders, TRG 2/3) were downloaded from the GEO database. The differentially expressed genes were identified to screen out the potential biomarkers by use of the GCBI platform. GO and KEGG pathways enrichment analysis were performed to integrate enrichment results of differentially expressed genes. Signal?signal interaction network was constructed and analyzed to screen out potential main downstream pathways. Results A total of 1079 differentially expressed genes were screened, including 657 up?regulated and 422 down?regulated ones. Among these genes, REG4 had the maximum fold change value of –6.029 491. In GO term, these differentially expressed genes were mainly enriched in molecule metabolic process, cell cycle, DNA?dependent transcription, signal transduction and apoptotic process. The KEGG pathways enrichment analysis showed that the differentially expressed genes were enriched in 65 KEGG pathways, including metabolic pathways, cell cycle and metabolism pathways. Signal?signal interaction network analysis showed that MAPK signaling pathway and cell cycle pathway might play a determinant role in the development of neoadjuvant chemoradiotherapy resistance. Further analysis showed that CDKN1B, CDKN2A, RBL1, TFDP1, CCND2, CCNE2, CDC6 and CDK6 in cell cycle might induce chemoradiotherapy resistance by blocking G1/S phase cell cycle arrest, decreasing the apoptosis of tumor cells and increasing S phase ratio of chemoradiotherapy resistance. Conclusion G1/S phase cell cycle arrest blocking plays an important role in the development of chemoradiotherapy resistance in patients with rectal cancer. Moreover, the key genes, such as REG4, may be useful in predicting responses to neoadjuvant chemoradiotherapy.

Objective To screen out the potential gene to predict regional lymph node metastasis after neoadjuvant chemoradiotherapy (CRT) for locally advanced rectal cancer (LARC) and develop a 6-gene model using an artificial neural network (ANN).Methods The gene expression profiles (GSE46862) of locally advanced rectal cancer undergoing preoperative chemoradiotherapy from 64 specimens (21 with ypN-and 43 with ypN+) were downloaded from the gene expression omnibus (GEO) database.The differentially expressed genes were identified to screen out the potential biomarkers through the Gene-Cloud of Biotechnology Information (GCBI) platform.The top 6 genes were screened out for building model.An ANN model was trained and validated using the SPSS Modeler software.The study samples were allocated randomly into the training sample group and testing sample group with a 7∶3 ratio.The training samples and testing samples were respectively used for building an ANN model and independent back-substitution test.Observation indicators:(1) screening results of differentially expressed genes;(2) analysis results of ANN model.The receiver operating characteristic (ROC) curve was drawn and the area under the curve (AUC) was calculated to evaluate the predictive abilities of ANN and each biomarker.Results (1) Screening results of differentially expressed genes:A total of 50 genes were screened.Six top genes included IL6,AKR1B1,AREG,SELE,ROBO1 and CD274.(2) Analysis results of ANN model:Six top genes were selected to construct a three-layer ANN model with a 7-5-2 structure.The IL6 made the greatest effect on the ANN model,followed by ROBO1,AKR1B1,AREG,CD274 and SELE.The AUC was 0.929.The sensitivity and specificity of ANN model were 96.7％ and 85.7％,and accuracy of training samples was 93.2％.In the independent back-substitution test,sensitivity and specificity were 92.3％ and 85.7％,and accuracy of testing samples was 90.0％.Conclusion The prediction ANN model based on multiple molecular markers (IL6,ROBO1,AKR1B1,AREG,CD274 and SELE) for regional lymph node metastases in LARC patients after CRT would be beneficial in selecting potential candidates for rectum-preserving surgery following CRT for LARC.