RNA-seq-based screening of autophagy-related genes during lung infection by highly antibiotic-resistant and highly virulent Staphylococcus aureus

Acta Universitatis Medicinalis Anhui 2025, 09, v.60 1689-1696     font:big middle small

Found programs: National Natural Science Foundation of China ( No.82470017) ; Science and Technology Re- search and Development Plan Project of Shijiazhuang ( No.211200553)

Authors:Zha Jinhong1,2 ,Kuang Qi1,2 ,Wu Chengxi2 ,Zhu Xiaoyu2 ,Su Duo2 , Zhang Lili2 ,Lyu Meng2 ,Hu Lingfei2 ,Zhou Dongsheng2 ,Yang Wenhui1,2

Keywords:methicillin-resistant Staphylococcus aureus; mouse; pneumonia; autophagy; key genes; immune infiltration; bioinformatics;

DOI:10.19405/j.cnki.issn1000-1492.2025.09.016

〔Abstract〕 To identify autophagy-related genes involved in pulmonary infection caused by the highly drug-resistant and virulent methicillin-resistant Staphylococcus aureus strain USA300 ( USA300) ,and to explore the underlying molecular mechanisms , thereby providing potential targets for immunotherapy. Methods The GSE220943 dataset of a USA300-induced pulmonary infection mouse model was obtained from the GEO database. Differentially expressed genes ( DEGs ) were identified using the DESeq2 package. Autophagy-related genes ( ARGs) were retrieved from the MSigDB and Autophagy databases.Weighted gene co-expression network analysis ( WGCNA) was performed to construct gene co-expression modules.Genes overlapping among DEGs,ARGs,and WGCNA modules were identified as autophagy-related DEGs.Gene Ontology ( GO) enrichment analysis was con- ducted using the clusterProfiler R package,while Kyoto Encyclopedia of Genes and Genomes ( KEGG) pathway en- richment analysis was performed via the Metascape platform.Immune cell infiltration was analyzed using the Immu- CellAI-mouse website.A protein - protein interaction ( PPI) network was constructed using the STRING database, and hub genes were identified through topological analysis in Cytoscape. Receiver operating characteristic curve ( ROC) curves were plotted via the website https: / /www.bioinformatics.com.cn. Finally,key gene expression was validated in mouse lung tissues by real-time quantitative reverse transcription PCR ( RT-qPCR) .Results A total of 6 135,4 075,3 680,and 2 342 differentially expressed genes ( DEGs) were identified at 12,24,48,and 96 hours post-infection,respectively.By integrating DEGs,autophagy-related genes ( ARGs) ,and WGCNA mod- ules,19 autophagy-related DEGs were identified. GO and KEGG enrichment analyses indicated that these genes were mainly involved in CD4 + T cell activation and regulation,innate immune responses,and autophagosome mem- brane formation.Immune infiltration analysis revealed that innate immune cells such as neutrophils and dendritic cells predominated during the early phase of infection,while γδ T cells and M2 macrophages became more promi- nent in the later stages.PPI network analysis identified 12 hub autophagy-related genes,among which three upreg- ulated key genes ( Eif2ak2,Ikbke,and Nfkbiz) were further confirmed.The area under the ROC curve for all three genes was 1. 000.RT-qPCR validation demonstrated significantly elevated expression of these three genes in lung tissues at 24 hours post-infection ( all P<0. 05) .Conclusion Eif2ak2,Ikbke,and Nfkbiz may be involved in the pulmonary infection caused by USA300 by promoting autophagy and hold promise as potential targets for immuno- therapy.