Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis
Background. The aim of the study was to investigate the landscape of B-cell-related gene expression profiling in rheumatoid arthritis (RA) synovium and explore the biological and clinical significance of these genes in RA. Methods. Expression profiling of synovial biopsies from subjects with 152 RA...
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| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Immunology Research |
| Online Access: | http://dx.doi.org/10.1155/2023/9422990 |
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| author | Jifeng Tang Jinfang Xia Huiming Sheng Jinpiao Lin |
| author_facet | Jifeng Tang Jinfang Xia Huiming Sheng Jinpiao Lin |
| author_sort | Jifeng Tang |
| collection | DOAJ |
| description | Background. The aim of the study was to investigate the landscape of B-cell-related gene expression profiling in rheumatoid arthritis (RA) synovium and explore the biological and clinical significance of these genes in RA. Methods. Expression profiling of synovial biopsies from subjects with 152 RA patients, 22 osteoarthritis (OA) patients, and 28 healthy controls was downloaded from the Gene Expression Omnibus database. Single-sample gene set enrichment analysis (ssGSEA) was performed to evaluate the abundance of infiltrated immune cells, and the results were validated using immunohistochemical staining. GSEA was employed to decipher differences in B-cell-related biological pathways. B-cell-related differential expression genes (BRDEGs) were screened, and BRDEGs-based model was developed by machine learning algorithms and evaluated by an external validation set and clinical RA cohort, then biological functions were further analyzed. Results. High levels of immune cell infiltration and B-cell-related pathway activation were revealed in RA synovium. BRDEGs were screened, and three key molecular markers consisting of FAS, GPR183, and TFRC were identified. The diagnosis model was established, and these gene markers have good discriminative ability for RA. Molecular pathological evaluation confirmed RA patients with high-risk scores presented higher levels of B-cell activation and RA characteristics. In addition, a competitive endogenous RNA network was established to elucidate the molecular mechanisms of the posttranscriptional network. Conclusions. We described the B-cell-related molecular landscape of RA synovium and constructed a molecular diagnostic model in RA. The three genes FAS, GPR183, and TFRC may be potential targets for clinical diagnosis and immunoregulatory therapy of RA. |
| format | Article |
| id | doaj-art-aacae04528cb4c2680a9b8b2f70aacc4 |
| institution | Kabale University |
| issn | 2314-7156 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Immunology Research |
| spelling | doaj-art-aacae04528cb4c2680a9b8b2f70aacc42025-02-03T01:29:36ZengWileyJournal of Immunology Research2314-71562023-01-01202310.1155/2023/9422990Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid ArthritisJifeng Tang0Jinfang Xia1Huiming Sheng2Jinpiao Lin3Department of Laboratory MedicineDepartment of Laboratory MedicineDepartment of Laboratory MedicineDepartment of Laboratory MedicineBackground. The aim of the study was to investigate the landscape of B-cell-related gene expression profiling in rheumatoid arthritis (RA) synovium and explore the biological and clinical significance of these genes in RA. Methods. Expression profiling of synovial biopsies from subjects with 152 RA patients, 22 osteoarthritis (OA) patients, and 28 healthy controls was downloaded from the Gene Expression Omnibus database. Single-sample gene set enrichment analysis (ssGSEA) was performed to evaluate the abundance of infiltrated immune cells, and the results were validated using immunohistochemical staining. GSEA was employed to decipher differences in B-cell-related biological pathways. B-cell-related differential expression genes (BRDEGs) were screened, and BRDEGs-based model was developed by machine learning algorithms and evaluated by an external validation set and clinical RA cohort, then biological functions were further analyzed. Results. High levels of immune cell infiltration and B-cell-related pathway activation were revealed in RA synovium. BRDEGs were screened, and three key molecular markers consisting of FAS, GPR183, and TFRC were identified. The diagnosis model was established, and these gene markers have good discriminative ability for RA. Molecular pathological evaluation confirmed RA patients with high-risk scores presented higher levels of B-cell activation and RA characteristics. In addition, a competitive endogenous RNA network was established to elucidate the molecular mechanisms of the posttranscriptional network. Conclusions. We described the B-cell-related molecular landscape of RA synovium and constructed a molecular diagnostic model in RA. The three genes FAS, GPR183, and TFRC may be potential targets for clinical diagnosis and immunoregulatory therapy of RA.http://dx.doi.org/10.1155/2023/9422990 |
| spellingShingle | Jifeng Tang Jinfang Xia Huiming Sheng Jinpiao Lin Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis Journal of Immunology Research |
| title | Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis |
| title_full | Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis |
| title_fullStr | Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis |
| title_full_unstemmed | Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis |
| title_short | Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis |
| title_sort | identification and development of synovial b cell related genes diagnostic signature for rheumatoid arthritis |
| url | http://dx.doi.org/10.1155/2023/9422990 |
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