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 explore the effects of Living with Hope Program(LWHP) on family caregivers of patients with advanced lung cancer.Methods Totally 60 family caregivers of patients with advanced lung cancer were randomly divided into the experimental group and the control group.The experimental group received LWHP intervention and routine care knowledge education,the control group only received routine care knowledge education.Hope,self-efficacy,anxiety and depression,and quality of life were evaluated at the first week,the second week,the first month,and the third month.Differences between two groups were compared using variance analysis of repeated measurements.Results The self-evaluation of the intervention was 76.6％,and the main effects of hope level,selfefficacy,anxiety and depression,and mental health were statistically significant (P＜0.05);the time effect on hope level and self-efficacy were statistically significant (P＜0.05);there were interaction effects between intervention and time on hope level,self-efficacy,anxiety and depression,and mental health (P＜0.05).Conclusion LWHP can effectively improve hope level,self-efficacy and mental health status,and alleviate anxiety and depression of family caregivers of patients with advanced lung cancer.

Objective To investigate the differential expression of microRNA (miRNA) in schizophrenia (SZ) patients,and explore the comorbidity of SZ and depression disorder based upon miRNA expression.Methods Affymetrix array analysis was used to investigate the differentially expressed miRNA in SZ patients firstly,and then quantitative real-time polymerase chain reaction (qRT-PCR) was further carried out to confirm the selected miRNA in peripheral blood mononuclear cells of 40 SZ patients,whom were administered by Positive and Negative Syndrome Scale (PANSS) and the selected miRNAs in depression disorder patients has also been confirmed by Affymetrix array analysis and qRT-PCR in our previous studies.Results Affymetrix array analysis indicated that there existed 33 miRNAs which differentially expressed (32 up-regulated and 1 down-regulated) compared with normal controls.qRT-PCR results suggested that the expression of 8 miRNAs (miR-1273d,miR-1303,miR-3064-5p,miR3131,miR-3687,miR-4428,miR-4725-3p and miR-5096) were significantly up-regulated in SZ;the miRNA differentially expressed in depression disorder patients also had differential expression in SZ patients (P＜0.05).There were significant correlation between the miRNAs differentially expressed in depression disorder patients and in SZ patients (P＜0.01).MiR-1972 differentially expressed in depression disorder patients had significant positive correlation with the positive symptoms of PANSS (P＜0.05),and miR-26b was positively correlated with composite factor (P＜0.05).Conclusion Comorbidity of SZ and depression disorder is observed not only on the clinical symptoms,but on the molecular genetic basis.

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