Objective:Rheumatoid arthritis(RA)is a systemic autoimmune disease characterized by chronic erosive arthritis.Due to the lack of effective biomarkers for diagnosis and treatment,RA patients have many complications in ...Objective:Rheumatoid arthritis(RA)is a systemic autoimmune disease characterized by chronic erosive arthritis.Due to the lack of effective biomarkers for diagnosis and treatment,RA patients have many complications in the later stage,seriously affecting their quality of life.Thus,this study was conducted to investigate new therapeutic targets and to discover diagnostic biomarkers in RA.Methods:In this study,the expression profiles of GSE55235 and GSE55457 were downloaded from the Gene Expression Omnibus database to obtain DEGs between RA and healthy samples.Genetic Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed on the common genes existing in the RA-related modules.Additionally,we used the STRING database to construct the protein‒protein interaction network.Furthermore,we established the interaction analysis of Hub Genes and microRNA(miRNA)and verified the 10 Hub genes through the GSE77298 dataset and quantitative real-time polymerase chain reaction Results:276 and 69 DEGs were screened from the GSE55235 dataset and GSE55457 dataset,respectively.Then,we obtained 42 up-regulated genes in two chip datasets intersection.Genetic Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of the 42 up-regulated genes showed that they were mainly concentrated in immune response-activating cell surface receptor signaling pathway,etc.Furthermore,the protein-protein interaction network indicated that 10 hub genes are closely related to RA,including MS4A1,CD27,LCK,CD79A,SDC1,CXCL9,CXCL10,CXCL13,IGLL5,and IGJ.In addition,we found that miR-4531 is the same target miRNAs between MS4A1 and SDC1 through messenger RNA-miRNA co-expression network.Finally,the GSE77298 gene chip and quantitative real-time polymerase chain reaction verified the expression of 10 Hub genes.The six Hub genes of CD27,SDC1,CXCL9,CXCL10,CXCL13,and IGJ are significantly increased.Conclusions:We found that SDC1 may be a novel molecular marker for the prevention and treatment of RA.The miR-4531/SDC1 regulatory axis may play a key role in this process.In conclusion,our study not only provides potential biomarkers for the diagnosis and treatment of RA,but also provides a basis and new targets for further revealing the potential mechanism of RA occurrence and development and discovering targeted drugs.展开更多
基金This work was supported by grants from the National Natural Science Foundation of China(82130113)the National Key R&D Program of China(2017YFC1703904)+2 种基金the Regional Innovation and Cooperation Project of the Science&Technology Department of Sichuan Province(2020YFQ0032)the Key R&D and Transformation Program of the Science&Technology Department of Qinghai Province(2020-SF-C33)the“Xinglin Scholars”Research Promotion Program of Chengdu University of Traditional Chinese Medicine(BSH2021008).
文摘Objective:Rheumatoid arthritis(RA)is a systemic autoimmune disease characterized by chronic erosive arthritis.Due to the lack of effective biomarkers for diagnosis and treatment,RA patients have many complications in the later stage,seriously affecting their quality of life.Thus,this study was conducted to investigate new therapeutic targets and to discover diagnostic biomarkers in RA.Methods:In this study,the expression profiles of GSE55235 and GSE55457 were downloaded from the Gene Expression Omnibus database to obtain DEGs between RA and healthy samples.Genetic Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed on the common genes existing in the RA-related modules.Additionally,we used the STRING database to construct the protein‒protein interaction network.Furthermore,we established the interaction analysis of Hub Genes and microRNA(miRNA)and verified the 10 Hub genes through the GSE77298 dataset and quantitative real-time polymerase chain reaction Results:276 and 69 DEGs were screened from the GSE55235 dataset and GSE55457 dataset,respectively.Then,we obtained 42 up-regulated genes in two chip datasets intersection.Genetic Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of the 42 up-regulated genes showed that they were mainly concentrated in immune response-activating cell surface receptor signaling pathway,etc.Furthermore,the protein-protein interaction network indicated that 10 hub genes are closely related to RA,including MS4A1,CD27,LCK,CD79A,SDC1,CXCL9,CXCL10,CXCL13,IGLL5,and IGJ.In addition,we found that miR-4531 is the same target miRNAs between MS4A1 and SDC1 through messenger RNA-miRNA co-expression network.Finally,the GSE77298 gene chip and quantitative real-time polymerase chain reaction verified the expression of 10 Hub genes.The six Hub genes of CD27,SDC1,CXCL9,CXCL10,CXCL13,and IGJ are significantly increased.Conclusions:We found that SDC1 may be a novel molecular marker for the prevention and treatment of RA.The miR-4531/SDC1 regulatory axis may play a key role in this process.In conclusion,our study not only provides potential biomarkers for the diagnosis and treatment of RA,but also provides a basis and new targets for further revealing the potential mechanism of RA occurrence and development and discovering targeted drugs.
