Screening of feature genes related to immune and inflammatory responses in periodontitis
Abstract Background Immune and inflammatory responses are important in the occurrence and development of periodontitis. The aim of this study was to screen for immune-related genes and construct a disease diagnostic model to further investigate the underlying molecular mechanisms of periodontitis. M...
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| Format: | Article |
| Language: | English |
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BMC
2023-04-01
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| Series: | BMC Oral Health |
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| Online Access: | https://doi.org/10.1186/s12903-023-02925-z |
| _version_ | 1797840778153689088 |
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| author | Azhu Duan Yeming Zhang Gongjie Yuan |
| author_facet | Azhu Duan Yeming Zhang Gongjie Yuan |
| author_sort | Azhu Duan |
| collection | DOAJ |
| description | Abstract Background Immune and inflammatory responses are important in the occurrence and development of periodontitis. The aim of this study was to screen for immune-related genes and construct a disease diagnostic model to further investigate the underlying molecular mechanisms of periodontitis. Methods GSE16134 and GSE10334 datasets were used in this study. Differentially expressed genes (DEGs) between the periodontitis and control groups were selected. Immune-related genes were identified, and functional analysis and construction of an interaction network were conducted. Immune characteristics were evaluated using gene set variation analysis GSVA. Immunity-related modules were analyzed using weighted gene co-expression network analysis (WGCNA). The LASSO algorithm was applied to optimize the module genes. Correlation between optimized immune-related DEGs and immune cells was analyzed. Results A total of 324 immune-related DEGs enriched in immune- and inflammation-related functions and pathways were identified. Of which, 23 immune cells were significantly different between the periodontitis and control groups. Nine optimal immune-related genes were selected using the WGCNA and LASSO algorithms to construct a diagnostic model. Except for CXCL1, the other eight genes were significantly positively correlated with regulatory T cells, immature B cells, activated B cells, and myeloid-derived suppressor cells. Conclusion This study identified nine immune-related genes and developed a diagnostic model for periodontitis. |
| first_indexed | 2024-04-09T16:20:13Z |
| format | Article |
| id | doaj.art-487fd6c439c54b3c95c045304d51f5aa |
| institution | Directory Open Access Journal |
| issn | 1472-6831 |
| language | English |
| last_indexed | 2024-04-09T16:20:13Z |
| publishDate | 2023-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Oral Health |
| spelling | doaj.art-487fd6c439c54b3c95c045304d51f5aa2023-04-23T11:30:10ZengBMCBMC Oral Health1472-68312023-04-0123111310.1186/s12903-023-02925-zScreening of feature genes related to immune and inflammatory responses in periodontitisAzhu Duan0Yeming Zhang1Gongjie Yuan2Department of Stomatology, Children’s Hospital of Shanghai, Children’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineDepartment of Stomatology, Tong Ren Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Stomatology, Children’s Hospital of Shanghai, Children’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineAbstract Background Immune and inflammatory responses are important in the occurrence and development of periodontitis. The aim of this study was to screen for immune-related genes and construct a disease diagnostic model to further investigate the underlying molecular mechanisms of periodontitis. Methods GSE16134 and GSE10334 datasets were used in this study. Differentially expressed genes (DEGs) between the periodontitis and control groups were selected. Immune-related genes were identified, and functional analysis and construction of an interaction network were conducted. Immune characteristics were evaluated using gene set variation analysis GSVA. Immunity-related modules were analyzed using weighted gene co-expression network analysis (WGCNA). The LASSO algorithm was applied to optimize the module genes. Correlation between optimized immune-related DEGs and immune cells was analyzed. Results A total of 324 immune-related DEGs enriched in immune- and inflammation-related functions and pathways were identified. Of which, 23 immune cells were significantly different between the periodontitis and control groups. Nine optimal immune-related genes were selected using the WGCNA and LASSO algorithms to construct a diagnostic model. Except for CXCL1, the other eight genes were significantly positively correlated with regulatory T cells, immature B cells, activated B cells, and myeloid-derived suppressor cells. Conclusion This study identified nine immune-related genes and developed a diagnostic model for periodontitis.https://doi.org/10.1186/s12903-023-02925-zPeriodontitisImmuneWGCNADiagnostic model |
| spellingShingle | Azhu Duan Yeming Zhang Gongjie Yuan Screening of feature genes related to immune and inflammatory responses in periodontitis BMC Oral Health Periodontitis Immune WGCNA Diagnostic model |
| title | Screening of feature genes related to immune and inflammatory responses in periodontitis |
| title_full | Screening of feature genes related to immune and inflammatory responses in periodontitis |
| title_fullStr | Screening of feature genes related to immune and inflammatory responses in periodontitis |
| title_full_unstemmed | Screening of feature genes related to immune and inflammatory responses in periodontitis |
| title_short | Screening of feature genes related to immune and inflammatory responses in periodontitis |
| title_sort | screening of feature genes related to immune and inflammatory responses in periodontitis |
| topic | Periodontitis Immune WGCNA Diagnostic model |
| url | https://doi.org/10.1186/s12903-023-02925-z |
| work_keys_str_mv | AT azhuduan screeningoffeaturegenesrelatedtoimmuneandinflammatoryresponsesinperiodontitis AT yemingzhang screeningoffeaturegenesrelatedtoimmuneandinflammatoryresponsesinperiodontitis AT gongjieyuan screeningoffeaturegenesrelatedtoimmuneandinflammatoryresponsesinperiodontitis |