Authors

Zhiqiang Kang*, Gen Wang**, Lei Fu**, Long Zhang**, Shengliang Sun**,#

Departments

*Department of Joint Surgery (I), the 80th Army Hospital, Weifang 261021, P.R.

Abstract

Background: This study aimed to explore the expression and clinical value of miR (microRNA) in patients with rheumatoid arthritis (RA) screened by GEO. 

Method: Microarray expression profile data were downloaded from the public gene chip database (GEO), and differential expressions of miRs in peripheral blood mononuclear cells (PBMCs) of RA patients and normal controls were screened using software of the GEO2R chip analysis platform. Fifty RA patients treated in The 80th Army Hospital (patient group) and fifty normal controls (normal group) were recruited. The expression of miR-450a in PBMCs was detected with qRT-PCR. The value of miRNA-450 a in the diagnosis, efficacy prediction and efficacy evaluation of RA was assessed. 

Results: The correlations between miR-450a and rheumatoid factor (RF), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR) were analyzed. A total of 62 differentially expressed miRs were found through GEO2R analysis, among which the difference of miR-450a was the most significant. The expression of miR-450a in the patient group was lower than that in the normal group (P < 0.001). ROC showed that the area under the curve (AUC) of miR-450a was 0.903, and its expression in the patient group increased after treatment (P < 0.05). Spearman test showed that the expression of miR-450a in PBMCs was positively correlated with the improvement of clinical efficacy after treatment (P < 0.05). The expression of miR-450a in the markedly effective group was significantly higher than that in the effective+ineffective group before treatment (P < 0.001). ROC curve showed that the AUC of miR-450a was 0.714 before treatment. 

Conclusion: Pearson test showed that miR-450a increased with the decrease of RF, CRP and ESR expression, showing a negative correlation (P < 0.05). miR-450a can be used as a potential indicator for diagnosis, efficacy evaluation and efficacy prediction of patients with RA.

Keywords

GEO, rheumatoid arthritis, miR-450a

DOI:

10.19193/0393-6384_2020_3_284