Integrated analysis of tRNA-derived small RNAs in proliferative human aortic smooth muscle cells.

BACKGROUND: Abnormal proliferation of vascular smooth muscle cells (VSMCs) contributes to vascular remodeling diseases. Recently, it has been discovered that tRNA-derived small RNAs (tsRNAs), a new type of noncoding RNAs, are related to the proliferation and migration of VSMCs. tsRNAs regulate target gene expression through miRNA-like functions. This study aims to explore the potential of tsRNAs in human aortic smooth muscle cell (HASMC) proliferation. METHODS: High-throughput sequencing was performed to analyze the tsRNA expression profile of proliferative and quiescent HASMCs. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to validate the sequence results and subcellular distribution of AS-tDR-001370, AS-tDR-000067, AS-tDR-009512, and AS-tDR-000076. Based on the microRNA-like functions of tsRNAs, we predicted target promoters and mRNAs and constructed tsRNA-promoter and tsRNA-mRNA interaction networks. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to reveal the function of target genes. EdU incorporation assay, Western blot, and dual-luciferase reporter gene assay were utilized to detect the effects of tsRNAs on HASMC proliferation. RESULTS: Compared with quiescent HASMCs, there were 1838 differentially expressed tsRNAs in proliferative HASMCs, including 887 with increased expression (fold change > 2, p < 0.05) and 951 with decreased expression (fold change < ½, p < 0.05). AS-tDR-001370, AS-tDR-000067, AS-tDR-009512, and AS-tDR-000076 were increased in proliferative HASMCs and were mainly located in the nucleus. Bioinformatics analysis suggested that the four tsRNAs involved a variety of GO terms and pathways related to VSMC proliferation. AS-tDR-000067 promoted HASMC proliferation by suppressing p53 transcription in a promoter-targeted manner. AS-tDR-000076 accelerated HASMC proliferation by attenuating mitofusin 2 (MFN2) levels in a 3'-untranslated region (UTR)-targeted manner. CONCLUSIONS: During HASMC proliferation, the expression levels of many tsRNAs are altered. AS-tDR-000067 and AS-tDR-000076 act as new factors promoting VSMC proliferation.

The mental health situation and its influencing factors in general hospital nurses / 中华劳动卫生职业病杂志

<p><b>OBJECTIVE</b>To study the mental health status and its affecting factors in nurses of general hospitals.</p><p><b>METHODS</b>Four hundred and seventy nurses in general hospitals were investigated with SCL-90, Self-Rating Life Events and coping style questionnaires.</p><p><b>RESULTS</b>The scores of SCL-90 factors, such as anxiety, obsessive-compulsion, phobia, somatization, were higher than the norm (P < 0.05). 22% of the nurses had two factors higher than 2, and 5.3% ever had suicidal idea. The total score of SCL-90 and some factorial scores in < 40 years age group were higher than in older age groups (P < 0.01), and in III grade hospital nurses were also higher than in II grade hospital nurses (P < 0.01). The scores of negative life events, negative coping style and work load from abnormal psychology group were higher than normal group, while positive coping score was lower than normal group (P < 0.05, P < 0.01). Stepwise regression analysis showed that, negative life events, coping style, hospital grade had predictive value for total score of SCL-90 and anxiety, depression etc factorial scores (P < 0.01). Age had negative predictive value for anxiety, hostility and phobia (P < 0.05). The total score from work events had predictive value for obsession and hostility, and positive events from work had predictive value for anxiety and the total score of SCL-90 (P < 0.01). The total interpersonal relationship events and negative interpersonal relationship events had predictive value for hostility and interpersonal sensitivity.</p><p><b>CONCLUSION</b>General hospital nurses especially in ages < 40 group had higher incidences of mental health problems. The main influencing factors are negative life events, coping style, work load, interpersonal relationship, age and hospital grade.</p>