Differential expression of cyclic RNA in peripheral blood mononuclear cells of patients with rheumatoid arthritis
10.3760/cma.j.cn141217-20210430-00176
- VernacularTitle:类风湿关节炎患者外周血单个核细胞中环状RNA差异表达分析
- Author:
Qianwu NIE
1
;
Huangxin LU
;
Xiaoyan LI
;
Weiting LI
;
Dong KUANG
;
Junping YANG
Author Information
1. 江西中医药大学研究生院，南昌 330004
- Keywords:
Arthritis, rheumatoid;
Cyclic RNA;
Microarray chips;
CeRNA network;
hsa_circ RNA_009012
- From:
Chinese Journal of Rheumatology
2022;26(1):32-36,C2
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the differences in the expression profiles of cyclic RNA (circRNA) in peripheral blood mononuclear cells (PBMCs) of rheumatoid arthritis (RA) and its clinical significance.Methods:Venous blood were collected from 4 patients with RA (group T) and 4 healthy subjects (group C). The expression profiles of circRNA in PBMCs of the two groups were detected by Arraystar circRNA microarray, and the differentially expressed circRNA was analyzed by clustering analysis. The binding sites for interaction between differentially expressed circRNA and miRNA were predicted, and functional analysis such as geneontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed. quantitative real-time polymerase chain reaction (RT-qPCR) was used to verify the expression of partially differentially expressed circRNA in the two groups of PBMCs, and a circRNA-miRNA-mRNA regulatory network (ceRNA network) was constructed for the target circRNA with significantly differential expression. A receiver operating characteristic curve [receiver operating characteristic curve (ROC)] was established to analyze the potential diagnostic value of target circRNA. SPSS Statistics 23.0 and Graphpad Prism 8.0 were used to analyze the data, and the independent t test was used to analyze the difference between the two groups. Results:① Microarray results showed that, compared with group C, a total of 399 [fold of difference (FC)>1.5, and P<0.05] circRNA were abnormally expressed in PBMCs of group T; including 149 up-regulated and 250 down-regulated. ② Bioinformatics analysis: The prediction of the binding site of circRNA and miRNA suggested that the differentially expressed circRNA in RA might affect the inflammatory response by targeting miR-140-5p, miR-338-5p, and miR-9-5p. GO analysis showed that the differentially expressed circRNA was mainly involved in the intimal-binding organelles, protein metabolism and binding, etc. KEGG pathway analysis showed that most of the involved pathways were related to infection and human immune dysregulation. ③ The results of multi-sample RT-qPCR validation showed that the expression level of hsa_circRNA_009012 in group T was significantly higher than that in group C ( t=-4.417, P<0.01), the expression level of hsa_circRNA_101328 was significantly lower than that in group C ( t=-1.042, P<0.01), and the expression of hsa_circRNA_058230 had no significant change ( t=4.691, P>0.05). ④ ROC curve analysis indicated that hsa_circRNA_009012 had potential value in the diagnosis of RA [area under curve=0.96]. Conclusion:The expression of circRNA in PBMCs of patients with RA is imbalanced, and it may participate in the regulation of the development of RA. Among them, hsa_circRNA_009012 is expected to become a new biological marker for the diagnosis and treatment of RA.
