{"title":"IL-1β刺激颞下颌关节滑膜液来源间充质干细胞的生物信息学分析。","authors":"Yiting Lou, Ran Tao, Xiaoyan Weng, Suzhen Sun, Yong Yang, Binbin Ying","doi":"10.1007/s10616-023-00579-x","DOIUrl":null,"url":null,"abstract":"<p><p>The stimulation of interleukin-1β (IL-1β) is the risk factor for temporomandibular joint osteoarthritis (TMJOA). We aim to investigate IL-1β stimulation-related gene and signal pathways in synovial fluid-derived mesenchymal stem cells (SF-MSCs) inflammatory activation to predict the occurrence of TMJOA. The microarray dataset GSE150057 was downloaded from the gene expression omnibus (GEO) database, and principal component analysis (PCA) was performed on the involved genes to obtain differential genes (DEGs). Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway were performed based on the DAVID database. The protein-protein interaction (PPI) network was constructed by the STRING database to identify hub genes. Based on the correlation between differential expression levels of lncRNAs and mRNAs, the co-expression network of lncRNA-mRNA was established. A total of 200 DEGs were obtained. Among 168 differential mRNAs, 126 were up-regulated and 42 were down-regulated; among 32 differential lncRNAs, 23 were up-regulated and 9 were down-regulated. Then, GO analysis showed that DEGs were mainly involved in signal transduction, inflammation, and apoptosis processes. KEGG pathway mainly involved the TNF signaling pathway, NF-κB signaling pathway, NOD-like receptor signaling pathway, and cytokine-cytokine-receptor interaction. Ten hub genes were recognized by PPI analysis, including CXCL8, CCL2, CXCL2, NFKBIA, CSF2, IL1A, IRF1, VCAM1, NFKB1, and TNFAIP3. In conclusion, our study has indicated the role of IL-1β stimulation in the progression of SF-MSCs inflammation and predicted DEGs and downstream pathways.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299971/pdf/","citationCount":"0","resultStr":"{\"title\":\"Bioinformatics analysis of synovial fluid-derived mesenchymal stem cells in the temporomandibular joint stimulated with IL-1β.\",\"authors\":\"Yiting Lou, Ran Tao, Xiaoyan Weng, Suzhen Sun, Yong Yang, Binbin Ying\",\"doi\":\"10.1007/s10616-023-00579-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The stimulation of interleukin-1β (IL-1β) is the risk factor for temporomandibular joint osteoarthritis (TMJOA). We aim to investigate IL-1β stimulation-related gene and signal pathways in synovial fluid-derived mesenchymal stem cells (SF-MSCs) inflammatory activation to predict the occurrence of TMJOA. The microarray dataset GSE150057 was downloaded from the gene expression omnibus (GEO) database, and principal component analysis (PCA) was performed on the involved genes to obtain differential genes (DEGs). Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway were performed based on the DAVID database. The protein-protein interaction (PPI) network was constructed by the STRING database to identify hub genes. Based on the correlation between differential expression levels of lncRNAs and mRNAs, the co-expression network of lncRNA-mRNA was established. A total of 200 DEGs were obtained. Among 168 differential mRNAs, 126 were up-regulated and 42 were down-regulated; among 32 differential lncRNAs, 23 were up-regulated and 9 were down-regulated. Then, GO analysis showed that DEGs were mainly involved in signal transduction, inflammation, and apoptosis processes. KEGG pathway mainly involved the TNF signaling pathway, NF-κB signaling pathway, NOD-like receptor signaling pathway, and cytokine-cytokine-receptor interaction. Ten hub genes were recognized by PPI analysis, including CXCL8, CCL2, CXCL2, NFKBIA, CSF2, IL1A, IRF1, VCAM1, NFKB1, and TNFAIP3. In conclusion, our study has indicated the role of IL-1β stimulation in the progression of SF-MSCs inflammation and predicted DEGs and downstream pathways.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299971/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s10616-023-00579-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/5/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10616-023-00579-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/5/9 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Bioinformatics analysis of synovial fluid-derived mesenchymal stem cells in the temporomandibular joint stimulated with IL-1β.
The stimulation of interleukin-1β (IL-1β) is the risk factor for temporomandibular joint osteoarthritis (TMJOA). We aim to investigate IL-1β stimulation-related gene and signal pathways in synovial fluid-derived mesenchymal stem cells (SF-MSCs) inflammatory activation to predict the occurrence of TMJOA. The microarray dataset GSE150057 was downloaded from the gene expression omnibus (GEO) database, and principal component analysis (PCA) was performed on the involved genes to obtain differential genes (DEGs). Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway were performed based on the DAVID database. The protein-protein interaction (PPI) network was constructed by the STRING database to identify hub genes. Based on the correlation between differential expression levels of lncRNAs and mRNAs, the co-expression network of lncRNA-mRNA was established. A total of 200 DEGs were obtained. Among 168 differential mRNAs, 126 were up-regulated and 42 were down-regulated; among 32 differential lncRNAs, 23 were up-regulated and 9 were down-regulated. Then, GO analysis showed that DEGs were mainly involved in signal transduction, inflammation, and apoptosis processes. KEGG pathway mainly involved the TNF signaling pathway, NF-κB signaling pathway, NOD-like receptor signaling pathway, and cytokine-cytokine-receptor interaction. Ten hub genes were recognized by PPI analysis, including CXCL8, CCL2, CXCL2, NFKBIA, CSF2, IL1A, IRF1, VCAM1, NFKB1, and TNFAIP3. In conclusion, our study has indicated the role of IL-1β stimulation in the progression of SF-MSCs inflammation and predicted DEGs and downstream pathways.