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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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Autores principales: Tang, Jifeng, Xia, Jinfang, Sheng, Huiming, Lin, Jinpiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693468/
https://www.ncbi.nlm.nih.gov/pubmed/38046263
http://dx.doi.org/10.1155/2023/9422990
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author Tang, Jifeng
Xia, Jinfang
Sheng, Huiming
Lin, Jinpiao
author_facet Tang, Jifeng
Xia, Jinfang
Sheng, Huiming
Lin, Jinpiao
author_sort Tang, Jifeng
collection PubMed
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.
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spelling pubmed-106934682023-12-03 Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis Tang, Jifeng Xia, Jinfang Sheng, Huiming Lin, Jinpiao J Immunol Res Research Article 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. Hindawi 2023-11-25 /pmc/articles/PMC10693468/ /pubmed/38046263 http://dx.doi.org/10.1155/2023/9422990 Text en Copyright © 2023 Jifeng Tang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tang, Jifeng
Xia, Jinfang
Sheng, Huiming
Lin, Jinpiao
Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693468/
https://www.ncbi.nlm.nih.gov/pubmed/38046263
http://dx.doi.org/10.1155/2023/9422990
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