Objectives To investigate the effects of military stress and psychological resilience on job burnout and mental health in military personnel and construct the relationship among resilience,job burnout and mental health during military stress.Methods By cluster random sampling,520 personnel in army taking part in the war-game were selected as the experimental group,and another group of 520 who not taking part in the wargame were selected as the control group.After one week of the war-game,the experimental group and control group were investigated by Military Personnel Mental Disorder Prediction Scale,Military Job Burnout Scale and Military Personnel Resilience Scale.The acquired datum were analyzed by t-test,correlation analysis,regression analysis and structural equation modeling analysis.Results (1) The total scores of mental disorder prediction and factor scores of psychosis,depression,mania,neurosis,personality disorder were((15.85±9.30),(0.36±0.91),(1.10±1.53),(2.66±1.78),(1.16± 1.57),(2.04± 1.83)) and the total scores of job burnout and its all factor scores were((23.05±9.40),(5.13±2.47),(3.19±2.18),(5.16±3.01),(1.71 ± 1.66),(3.29±2.21)) of experimental group were significantly higher than control group((11.20±6.24),(0.11 ±0.53),(0.55± 1.10),(1.89± 1.50),(0.51± 1.02),(1.10±1.13),(17.92±9.64),(4.28±2.92),(2.64±2.06),(3.84±2.46),(1.26± 1.37),(2.77±2.43),P=0.000).(2)Psychological resilience negatively correlated with job burnout and mental health(r=-0.52～-0.09,P＜0.05),and job burnout positively correlated with mental health (r=0.12 ～ 0.57,P＜0.01).(3) Under the military stress,psychological resilience was the accommodation to effect the mental health and job burnout of military personnel.(4)The analysis of structural equation modeling showed that psychological resilience had a direct effect on job burnout(the path coefficient was-0.56,P＜0.01),but it had no significant effect on mental health (the path coefficient was-0.06,P=0.302).Job burnout had a direct effect on mental health (the path coefficient was 0.73,P＜0.01),and the structural equation modeling fitted the data very well(x2/ df =3.138,GFI =0.943,AGFI =0.911,NFI =0.930,RFI =0.905,IFI =0.952,TLI =0.933,CFI =0.951,RMSEA =0.065).Conclusion Military stress can lead to job burnout and mental disorders that could be moderated by psychological resilience.Job burnout can fully mediate the relation between psychological resilience and mental health.Psychological resilience effects mental health by job burnout indirectly.

Objective To investigate the diagnostic value of microRNA (miRNA) in peripheral venous blood for depressive disorder.Methods Real-time fluorescence quantitative PCR (RT-qPCR) was used to verify expression level of miRNAs in peripheral blood of non-specific mental retardation children,which were aberrantly expressed in depressive disorder patients,and then Receiver Operating Characteristics (ROC)curve was employed to confirm the sensitivity and specificity of abnormal miRNA expression in depressive disorder and non-specific mental retardation.Results MiR-1972,miR-26b,miR-4485,miR-4498 and miR-4743 were upregulated significantly in case group of depressive disorder(P＜0.05),meanwhile miR-4485 and miR-4743 in aforementioned 5 miRNAs also upregulated significandy in patients of non-specific mental retardation(P＜0.05),but miR-26b showed no significant difference between case group of non-specific mental retardation and the control group (P＞0.05).The ROC curve of miR-26b in depressive disorder patients and their control group showed that the sensitivity and specificity were 0.609,0.664 respectively,and the area square under the curve was 0.614(P=0.021).The ROC curve of miR-26b in patients of depressive disorder and non-specific mental retardation indicated that the sensitivity and specificity were 0.784 and 0.471,and area square under the curve was 0.643 (P=0.003).Conclusion miR-26b probably have diagnostic value for depressive disorder,which may comorbidity with non-specific mental retardation.But genetic and psychosocial mechanism of comorbidity still needs further exploration.

Objective To predict the target genes and function of has-miR-26b,has-miR-1972,has-miR4485,has-miR-4498,and has-miR-4743 by bioinformatics analysis,and provide the theoretical basis for the further research.Methods The targets of the five microRNAs were predicted by Target Scan,miRBD,and DIANA-microT-CDS,and the result were analyzed by gene ontology and pathway analysis using FunNet.Results 734 predicted targets were obtained by finding the intersected genes of Target Scan,miRBD,and DIANA-microT-CDS.GO analysis showed that biological processes regulated by the differentially expressed microRNAs included diverse terms,among which some terms (e.g.,central nervous system development,neuron differentiation,axonogenesis,synaptic transmission,learning,and memory,etc.) had direct relationship with the central nervous system and brain functions.The pathway analysis showed that a significant enrichment in several pathways related to neuronal brain function,such as axon guidance,glutamatergic synapse,Wnt signaling pathway,mTOR signaling pathway,VEGF signaling pathway,etc.Among the five microRNAs,has-miR-26b,has-miR-1972,has-miR-4498 might have more important regulatory functions.Conclusion Bioinformatic analysis indicates that has-miR-26b,has-miR-1972,has-miR-4485,has-miR-4498,and has-miR-4743 are closely related to the mechanism and pathogenesis of major depressive disorder.

OBJECTIVE To identify differentially expressed microRNA (miRNA) in peripheral blood mononuclear cells (PBMCs) of anxiety patients and predict their target genes and function by bioinformatics analysis. METHODS The miRNA expression profiles were determined using an Affymetrix array. To validate the results, real-time quantitative polymerase chain reaction (qRT-PCR) analysis in a larger cohort was employed. The targets of the differentially expressed miRNAs were predicted by Target Scan, miRBD, and DIANA-microT-CDS, and the results were analyzed by gene ontology (GO) and KEGG pathway analysis using FunNet. RESULTS MicroRNA microarray chip analysis has identified 7 miRNAs were detected with significant changes in expression in PBMCs of anxiety patients. qRT-PCR analysis has confirmed that the expression levels of 5 miRNAs (has-miR-4484, has-miR-4505, has-miR-4674, has-miR-501-3p and has-miR-663) were up-regulated. Intersecting the genes by Target Scan, miRBD, and DIANA-microT-CDS has predicted 195 targets. GO analysis showed that biological processes regulated by the predicted target genes have included diverse terms. Some terms, e.g., nervous system development, nerve growth factor receptor signaling pathway, neuron migration, dendrite development, regulation of neuron projection development, midbrain development, regulation of excitatory postsynaptic membrane potential, gliogenesis, dendrite morphogenesis, etc. have direct relationship with the central nervous system and brain functions. Pathway analysis showed that a significant enrichment in several pathways related to neuronal brain functions such as glutamatergic synapse, axon guidance, calcium signaling pathway, MAPK signaling pathway, GnRH signaling pathway, Wnt signaling pathway, gap junction, long-term potentiation and VEGF signaling pathway, etc. Among the five microRNAs, has-miR-4484, has-miR-4505, has-miR-4674 and has-miR-501-3p may have more important regulatory functions. CONCLUSION Five miRNAs (has-miR-4484, has-miR-4505, has-miR-4674, has-miR-501-3p and has-miR-663) are up-regulated in PBMCs of anxiety patients and may be closely involved in the pathogenesis of anxiety disorder.
Anxiety Disorders ; genetics ; Computational Biology ; methods ; Gene Expression Regulation ; Humans ; MicroRNAs ; analysis ; Real-Time Polymerase Chain Reaction

Objective:To analyze the clinical characteristics and predictive factors of SSc associated heart disease.Methods:The clinical data of patients with SSc from January 2016 to December 2021 in Ningbo Medical Center Lihuili Hospital were collected. Aight healthy controls come from the medicial examination center. They were divided into a positive group and a negative group based on whether heart involvement was present or not. The clinical manifestations of the two groups were compared by t test, Wilcoxon signed rank test and χ2 test and Logistic regression or ROC curve was used to analyze the prognostic risk of SSc associated heart disease. Then the transcriptome sequencing was used to analyze the differential gene expression. Results:①A total of 75 SSc patients were treated in our hospital, of which 6 patients with overlap syndrome and 1 patient with congenital heart disease were excluded. The clinical data of 68 patients were analyzed including 16 patients in the positive group and 52 patients in the negative group. Among the 16 patients with cardiac involvement, 12 patients (75.0%) had abnormal electrocardiogram, 9 patients (56.2%) with heart valve disease, 8 patients (50.0%) with abnormal cardiac structure and 8 patients (50.0%) with pericardial effusion. The biomarkers were elevated in 10 cases (83.3%). ②Univariate analysis showed that the positive group had a longer course of disease [120(11.2, 132) months vs 48(24, 90)months, Z=-2.08, P=0.037], and the rate of pulmonary arterial hypertension (50.0% vs 11.5%, χ2=11.07, P<0.001) and renal insufficiency(50.0% vs 3.8%, χ2=20.78, P<0.001) in the positive group were significantly higher than those in the negative group. Further Logistic regression analysis revealed that long course of disease [ OR (95% CI) =1.011 (1.001, 1.021), P=0.031], pulmonary arterial hypertension [ OR (95% CI) =5.431, 95% CI (1.065, 27.710), P=0.042] and renal insufficiency [ OR (95% CI) =30.444 (4.139, 223.938), P<0.001] were risk factors for SSc associated heart disease. ③Nail-fold videocapillaroscopy (NVC) was checked in 63 patients. The difference of abnormal NVC changes between the two groups was statistically significant (93.3% vs 58.3%, χ2=5.87, P=0.013). The total number of capillaries in the positive group was significantly less than that in the negative group [3.5(2, 4.8) vs 6 (5, 7), Z=-2.97, P=0.003]. Further ROC curve analysis showed that the total number of capillaries less than 4.5 predicted the occurrence of cardiac involvement (sensitivity was 80.0%, specificity was 83.8%), and the area under the ROC curve (95% CI) was 0.805 (0.061, 1.000, P=0.003).④The transcriptome of a total of 11 SSc patients (including 6 in the positive group and 5 in the negative group) and 8 healthy controls were analyzed to obtain the synchronously down regulated gene TNFRSF13B. The differences between the three groups were statistically significant ( χ2=11.88, P=0.003), especially in the positive group and the healthy controls( χ2=11.19, P=0.004). Conclusion:SSc patients with long course of disease accompanied by PAH and renal insufficiency are prone to have heart involvement. Early capillary endoscopy is also helpful to predict the risk of heart involvement. Moreover, TNFRSF13B genetic testing is helpful but further study is needed.