Objective To investigate the expression and signaling pathway of TAGLN2 gene in low-grade glioma (LGG),and the relation of its expression with prognoses of patients.Methods The expression of TAGLN2 gene in Oncomine and TCGA databases was analyzed by bioinformatics analysis.The TAGLN2-related protein-protein interaction network was mapped using STRING database,and the interacting protein coding genes involved in the network were enriched.According to the expression level of TAGLN2 gene in glioma,the patients were divided into high expression group and low expression group;the differences of overall survival (OS) and disease free survival (DFS) were compared between the two groups.Results The expression level of TAGLN2 gene was up-regulated in most of the tumors.The expression level of TAGLN2 gene in the tumors of LGG patients was obviously higher than that in the corresponding normal brain tissues.The missense mutation of TA GLN2 gene was analyzed in TCGA database,and 1.5％ of TAGLN2 gene missense mutation occurred in glioma tissues.There were 51 nodes in TAGLN2-related protein-protein interaction network and 254 interaction relations,and the regional clustering index was 0.69.The network protein enrichment was obvious (P=1.0E-16).The proteins encoding and interacting with TAGLN2 gene were mainly concentrated in vesicles,extracellular matrix and cell membrane.Their molecular functions were mainly protein binding,iron binding and accounting binding;their biological processes were mainly concentrated in the regulation of biological functions,cell development and multicellular tissue processes.OS and DFS of TAGLN2 high expression group were significantly lower than those of low expression group (HR=2.7,HR=1.8,P＜0.05).Analysis of LGG cell subtypes showed that OS and DFS of astrocytoma in TA GLN2 high expression group were lower than those in low expression group (P＜0.05).The OS of oligodendroglioma in the TA GLN2 high expression group was significantly lower than that in the low expression group (P＜0.05).There were no significant differences in OS and DFS of oligodendrocytoma and DFS of oligodendroglioma between the TAGLN2 high and low expression groups (P＞0.05).Conclusion TAGLN2 is highly expressed in LGG tissues and is associated with poor prognosis.

ObjectiveTo analyze the mental health status of non-psychiatric inpatients in a general hospital， and to explore the relevant influencing factors， so as to provide references for the screening of mental health problems and the construction of intervention models among non-psychiatric inpatients. MethodsA cross-sectional study was conducted among 916 non-psychiatric inpatients in a third grade class A general hospital in Guangzhou， and all the inpatients were assessed using Patient Health Questionnaire-9 item （PHQ-9）， Generalized Anxiety Disorder-7 item （GAD-7）， Athens Insomnia Scale （AIS） and Columbia-Suicide Severity Rating Scale （C-SSRS） to detect their depression， anxiety， insomnia and suicide risk status. Thereafter， univariate and multivariate Logistic regression analysis were used to screen the risk factors affecting the mental health of inpatients. ResultsA total of 339 （37.0%） inpatients with positive mental health problems were screened， and the screening results for each dimension revealed 218 cases （23.8%） of depression， 141 cases （15.4%） of anxiety， 257 cases （28.1%） of insomnia， 42 cases （4.6%） of suicidal ideation and 7 cases （0.8%） of suicidal behavior. Binary Logistic regression analysis showed that female （OR=1.379， P<0.05） was a risk factor for positive screening of mental health problems. Ordinal Logistic regression analysis denoted that age above 60 years old （OR=1.542， P<0.05） and singlehood （OR=2.055， P<0.05） were risk factors affecting the severity of depression， while senior high school to junior college education （OR=0.524， P<0.05） was a protective factor of depression， meantime， female （OR=1.472， P<0.05） was a risk factor affecting the severity of insomnia. ConclusionMental health problems are quite common among non-psychiatric inpatients in general hospitals， and are mainly affected by factors such as gender， age， marital status and educational background.