Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis
Abstract Purpose To investigate underlying co-mechanisms of PCOS and periodontitis through transcriptomic approach. Methods PCOS and periodontitis gene expression data were downloaded from the GEO database to identify differentially expressed genes. GO and KEGG pathway enrichment analysis and random...
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | European Journal of Medical Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40001-023-01499-4 |
| _version_ | 1827388622007959552 |
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| author | Xiaodan Liu Jingran Zhang Xiao Wang Zhihui Zhang |
| author_facet | Xiaodan Liu Jingran Zhang Xiao Wang Zhihui Zhang |
| author_sort | Xiaodan Liu |
| collection | DOAJ |
| description | Abstract Purpose To investigate underlying co-mechanisms of PCOS and periodontitis through transcriptomic approach. Methods PCOS and periodontitis gene expression data were downloaded from the GEO database to identify differentially expressed genes. GO and KEGG pathway enrichment analysis and random forest algorithm were used to screen hub genes. GSEA analyzed the functions of hub genes. Correlations between hub genes and immune infiltration in two diseases were examined, constructing a TF-ceRNA regulatory network. Clinical samples were gathered from PCOS and periodontitis patients and RT-qPCR was performed to verify the connection. Results There were 1661 DEGs in PCOS and 701 DEGs in periodontitis. 66 intersected genes were involved and were enriched in immune and inflammation-related biological pathways. 40 common genes were selected from the PPI network. RF algorithm demonstrated that ACSL5, NLRP12, CCRL2, and CEACAM3 were hub genes, and GSEA results revealed their close relationship with antigen processing and presentation, and chemokine signaling pathway. RT-qPCR results confirmed the upregulated gene expression in both PCOS and periodontitis. Conclusion The 4 hub genes ACSL5, NLRP12, CCRL2, and CEACAM3 may be diagnostic genes for PCOS and periodontitis. The created ceRNA network could provide a molecular basis for future studies on the association between PCOS and periodontitis. |
| first_indexed | 2024-03-08T16:22:27Z |
| format | Article |
| id | doaj.art-80acf4e1a8504d0eb84b43401bfd66d3 |
| institution | Directory Open Access Journal |
| issn | 2047-783X |
| language | English |
| last_indexed | 2024-03-08T16:22:27Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj.art-80acf4e1a8504d0eb84b43401bfd66d32024-01-07T12:17:34ZengBMCEuropean Journal of Medical Research2047-783X2024-01-0129111210.1186/s40001-023-01499-4Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitisXiaodan Liu0Jingran Zhang1Xiao Wang2Zhihui Zhang3Department of Stomatology, Peking University Third HospitalDepartment of Periodontology, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & NMPA Key Laboratory for Dental MaterialsDepartment of Stomatology, Peking University Third HospitalDepartment of Stomatology, Peking University Third HospitalAbstract Purpose To investigate underlying co-mechanisms of PCOS and periodontitis through transcriptomic approach. Methods PCOS and periodontitis gene expression data were downloaded from the GEO database to identify differentially expressed genes. GO and KEGG pathway enrichment analysis and random forest algorithm were used to screen hub genes. GSEA analyzed the functions of hub genes. Correlations between hub genes and immune infiltration in two diseases were examined, constructing a TF-ceRNA regulatory network. Clinical samples were gathered from PCOS and periodontitis patients and RT-qPCR was performed to verify the connection. Results There were 1661 DEGs in PCOS and 701 DEGs in periodontitis. 66 intersected genes were involved and were enriched in immune and inflammation-related biological pathways. 40 common genes were selected from the PPI network. RF algorithm demonstrated that ACSL5, NLRP12, CCRL2, and CEACAM3 were hub genes, and GSEA results revealed their close relationship with antigen processing and presentation, and chemokine signaling pathway. RT-qPCR results confirmed the upregulated gene expression in both PCOS and periodontitis. Conclusion The 4 hub genes ACSL5, NLRP12, CCRL2, and CEACAM3 may be diagnostic genes for PCOS and periodontitis. The created ceRNA network could provide a molecular basis for future studies on the association between PCOS and periodontitis.https://doi.org/10.1186/s40001-023-01499-4Polycystic ovary syndromePeriodontitisGSEADiagnosisTranscriptomic analysis |
| spellingShingle | Xiaodan Liu Jingran Zhang Xiao Wang Zhihui Zhang Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis European Journal of Medical Research Polycystic ovary syndrome Periodontitis GSEA Diagnosis Transcriptomic analysis |
| title | Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis |
| title_full | Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis |
| title_fullStr | Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis |
| title_full_unstemmed | Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis |
| title_short | Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis |
| title_sort | transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis |
| topic | Polycystic ovary syndrome Periodontitis GSEA Diagnosis Transcriptomic analysis |
| url | https://doi.org/10.1186/s40001-023-01499-4 |
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