ABSTRACT
Background: In 2020, the coronavirus disease 2019 began spreading widely across the world. We aim to study the biological changes of SARS-CoV-2 infected Vero cells using high-throughput sequencing data, which will be helpful for vaccine development and drug screening. Methods: The data GSE153940 was obtained from the Gene Expression Omnibus database. R software was used to screen out differentially expressed genes and perform Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. The protein-protein interaction network was built by STRING. Cytoscape 3.7.2 was applied for the visualization of the protein-protein interaction network and the identification of the hub genes. GraphPad Prism 8.4.3 was used to perform the statistical analysis to verify the obtained central genes. Results: A total of 3640 differentially expressed genes were obtained. The most significant enrichment items of Gene Ontology in the biological process, cellular component, and molecular function were the regulation of mRNA metabolic process, organelle inner membrane, and cadherin binding respectively. Ten enrichment pathways were identified by the Kyoto Encyclopedia of Genes and Genomes analyses. A protein-protein interaction network with 328 nodes and 498 edges was established. Six hub genes were screened out, among which four genes (MRPS7, DAP3, CHCHD1 and MRPL3) were confirmed to be statistically significant. Conclusions: Our results suggest that mitochondrial activity has a significant role in the process of SARS-CoV-2 infecting Vero E6 cells. Further experimental studies are needed to obtain abundant data to verify the predicted results of the bioinformatics analysis.
ABSTRACT
To explore the relationship between social support and sleep quality of community workers in Wuhan during the coronavirus disease 2019 (the COVID-19 infection epidemic), this research constructed a mediating effect model to explore the mediating psychological mechanism of social support influencing sleep quality of front-line community workers. A total of 500 front-line community workers in Wuhan were investigated. We used the perceived social support scale (PSSS), the Connor-Davidson Resilience Scale (CD-RISC), the perceived stress scale (PSS), and the Pittsburgh sleep quality index (PSQI) to measure social support, psychological resilience, perceived stress and sleep quality. Specifically, the higher the PSQI, the worse the sleep quality. Pearson correlation structural equation model was used to analyze the relationship between these factors. The results showed that: (1) There was a significant negative correlation between social support, psychological resilience, and perceived stress of community workers and PSQI, that means, the higher the level of social support, psychological resilience, and perceived stress, the higher the sleep quality. (2) Social support positively predicted psychological resilience and perceived stress, and perceived stress negatively predicted PSQI. (3) Social support can affect sleep quality through the mediating role of psychological resilience and perceived stress, and the mediating role includes two paths: the single mediating role of perceived stress and the chain mediating role of psychological resilience-perceived stress. (4) Gender moderates the relationship between social support and perceived stress, and the influence of social support on perceived stress of women is higher than that of men. Gender moderates the relationship between psychological resilience and PSQI, and only women's psychological resilience had a negatively predictive effect on PSQI, while men did not, which means that psychological resilience of female frontline community workers can positively predict sleep quality. This research reveals the relationship between social support and sleep quality and its mechanism and verifies that social support can indirectly affect physical health through psychological resilience and perceived stress. It provides reference suggestions and intervention guidance for improving the sleep quality of community workers.