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金黄色葡萄球菌注射 Balb/c-Nu 小鼠模型皮肤反应的基因表达谱分析
Authors Zhang J , Wang C, An Q, Quan Q, Li M, Zhao D
Received 17 November 2021
Accepted for publication 20 January 2022
Published 15 February 2022 Volume 2022:15 Pages 217—235
DOI https://doi.org/10.2147/CCID.S348961
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Jeffrey Weinberg
Background: Pathogenesis and persistence of many skin diseases are related to Staphylococcus aureus (S. aureus) colonization. S. aureus infection can cause varying degrees of changes in cell gene expression, resulting in complex changes in cell phenotype and finally changes in cell life activities.
Materials and Methods: The transcriptomes of healthy and Staphylococcus aureus (S. aureus) -infected murine skin tissues were analyzed. We identified 638 differentially expressed genes (DEGs) in the infected tissues compared to the control samples, of which 324 were upregulated and 314 were downregulated, following the criteria of P < 0.01 and |log2FC| > 3. The DEGs were functionally annotated by Gene Ontology (GO), KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway and the protein–protein interaction (PPI) network analyses.
Results: The upregulated DEGs were mainly enriched in GO terms, such as response to stimulus, immune system process and signal transduction, as well as in the complement and coagulation cascade pathway. Thus, S. aureus infection likely activates these pathways to limit the influx of neutrophils and prevent skin damage. Four clusters were identified in the PPI network, and the major hubs were mainly related to cell cycle and proliferation, and mostly downregulated. The expression levels of Nox4, Mmrn1, Mcm5, Msx1 and Fgf5 mRNAs were validated by qRT-PCR and found to be consistent with the RNA-Seq data, confirming a strong correlation between the two approaches.
Conclusion: The identified genes and pathways are potential drug targets for treating skin inflammation caused by S. aureus and should be investigated further.
Keywords: Staphylococcus aureus , inflammation, gene expression profile, transcriptome