Correlations of the expression levels of plasma long non-coding RNA plasmacytoma variant translocation 1 and microRNA-143-3p with disease activity and prognosis in patients with rheumatoid arthritis
- VernacularTitle:血浆长链非编码RNA浆细胞瘤变异易位基因1、微小RNA-143-3p表达水平与类风湿关节炎患者疾病活动度及预后的相关性分析
- Author:
Xin CUI
1
;
Xiaowen YAN
;
Xiao SUN
;
Yanyan FU
;
Ran TAO
Author Information
- Publication Type:Research Article
- Keywords: rheumatoid arthritis; long non-coding RNA plasmacytoma variant translocation 1; microRNA-143-3p; disease activity; prognosis
- From: Journal of Clinical Medicine in Practice 2024;28(24):82-87
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the correlations of the expression levels of plasma long non-coding RNA plasmacytoma variant translocation 1 (LncRNA
PVT1 ) and microRNA-143-3p (miR-143-3p) with disease activity and prognosis in patients with rheumatoid arthritis (RA). Methods A total of 129 RA patients admitted to our hospital from April 2021 to April 2023 were selected as disease group. According to the 28-joint disease activity scores (DAS28), the patients were divided into stable disease group (n =28), mildly active group (n =42), moderately active group (n =35), and severely active group (n =24). According to the prognosis of the patients after 6 months of treatment, they were divided into good prognosis group (n =88) and poor prognosis group (n =41), and 110 healthy people who underwent physical examinations in our hospital during the same period were included as control group. The expression levels of plasma LncRNAPVT1 and miR-143-3p were detected using quantitative real-time fluorescent polymerase chain reaction (qRT-PCR). The targeting relationship between LncRNAPVT1 and miR-143-3p was predicted using the Target Scan Human website. Multivariate Logistic regression analysis was conducted to explore the factors influencing the prognosis of RA patients. Receiver operating characteristic (ROC) curve was performed to assess the predictive value of plasma LncRNAPVT1 and miR-143-3p for the prognosis of RA patients. Results The plasma LncRNAPVT1 level in the disease group was higher than that in the control group, while the plasma miR-143-3p level was lower (P < 0.05). The plasma LncRNAPVT1 levels decreased sequentially in the severe activity, moderate activity, mild activity, and disease stable groups, while the plasma miR-143-3p levels increased sequentially (P < 0.05).The proportion of patients positive for human leukocyte antigen-DR4 (HLA-DR4), DAS28, and plasma LncRNAPVT1 expression level were higher in the poor prognosis group than in the good prognosis group, while the plasma miR-143-3p level was lower (P < 0.05). Plasma LncRNAPVT1 , miR-143-3p expression, HLA-DR4 positivity, and DAS28 were factors influencing the prognosis of RA patients (P < 0.05). LncRNAPVT1 and miR-143-3p had targeted binding sites, and there was a negative correlation between them (P < 0.05). The area under the curve (AUC) for the combined prediction of plasma LncRNAPVT1 and miR-143-3p for prognosis of RA patients was 0.914, which was superior to the individual diagnosis of LncRNAPVT1 or miR-143-3p (Z =2.159,P =0.031;Z =2.108,P =0.035). The sensitivity and specificity of the combined diagnosis were 95.12% and 78.41%, respectively. Conclusion The plasma LncRNAPVT1 level gradually increases, while the plasma miR-143-3p level gradually decreases with increasing RA disease activity. The combined detection of the two biomarkers has high predictive value for the prognosis of RA patients.
