Objective:To analyse the core genes and mechanisms of brain injury induced by isoflurane using the bioinformatics analysis.Methods:The GSE358 and GSE359 isoflurane anesthesia data set were downloaded from the GEO database. Debatch processing, screening of differentially expressed genes (DEGs), construction and analysis of protein-protein interaction network, and functional enrichment analysis were performed. The gene expression heat map was plotted, and the diseases most related to the core genes were found by Comparative Toxicogenomics Database analysis.Results:A total of 500 DEGs were identified. According to the results of Gene Ontology analysis, they were mainly enriched in the response to foreign stimuli, the response to hypoxia, the apoptotic process, and the inflammatory response in the Biological Process analysis. In Cellular Component analysis, they were mainly enriched in the cytoplasm, extracellular space, and neuronal projections. In Molecular Function analysis, they focused on protein binding and sequence specific DNA binding in transcriptional regulatory regions. In Kyoto Encyclopedia of Genes and Genomes analysis, they were mainly enriched in phosphatidylinositol 3-kinase/protein kinase B signaling pathway, neuroactive ligand-receptor interaction, Toll-like receptor (TLR) signaling pathway, apoptosis and cAMP signaling pathway. Six core genes (interferon gamma [IFN-γ], TLR4, nuclear factor kappa B inhibitor alpha [NFKBIA], interleukins-1α [IL-1α], proto-oncogene fos[Fos]), CCAAT enhancer binding protein β [CEBPB]) were obtained by protein-protein interaction network. Comparative Toxicogenomics Database analysis revealed that core genes (IFN-γ, IL-1α, Fos) were associated with neurological disorders, brain injury, hyperalgesia, drug-related side effects and adverse reactions, neurodegeneration, etc. The inference score could reflect the degree of association between the gene and the disease, among which IFN-γ, IL-1α and Fos had higher inference scores in brain damage.Conclusions:IFN-γ, IL-1α, Fos, TLR4, NFKBIA and CEBPB are six core genes associated with isoflurane-induced brain injury, and these genes may play important roles in immune and inflammatory responses.

Periodontitis is a chronic inflammatory disease marked by a dysregulated immune microenvironment, posing formidable challenges for effective treatment. The disease is characterized by an altered glucose metabolism in macrophages, specifically an increase in aerobic glycolysis, which is linked to heightened inflammatory responses. This suggests that targeting macrophage metabolism could offer a new therapeutic avenue. In this study, we developed an immunometabolic intervention using quercetin (Q) encapsulated in bioadhesive mesoporous polydopamine (Q@MPDA) to treat periodontitis. Our results demonstrated that Q@MPDA could reprogram inflammatory macrophages to an anti-inflammatory phenotype (i.e., from-M1-to-M2 repolarization). In a murine periodontitis model, locally administered Q@MPDA reduced the presence of inflammatory macrophages, and decreased the levels of inflammatory cytokines (IL-1β and TNF-α) and reactive oxygen species (ROS) in the periodontium. Consequently, it alleviated periodontitis symptoms, reduced alveolar bone loss, and promoted tissue repair. Furthermore, our study revealed that Q@MPDA could inhibit the glycolysis of inflammatory macrophages while enhancing oxidative phosphorylation (OXPHOS), facilitating the shift from M1 to M2 macrophage subtype. Our findings suggest that Q@MPDA is a promising treatment for periodontitis via immunometabolic rewiring.