Increase in MEG3, MALAT1, NEAT1 significantly predicts the clinical parameters in patients with rheumatoid arthritis.
Sudipta ChatterjeeDipanjan BhattcharjeeSanchaita MisraAyindrila SahaNitai Pada BhattacharyyaAlakendu GhoshPublished in: Personalized medicine (2020)
Aim: This study investigated deregulation of lncRNAs MEG3, MALAT1, NEAT1 and their associations with clinical parameters in rheumatoid arthritis (RA). Materials & methods: LncRNAs MALAT1, MEG3, NEAT1 were quantified from peripheral blood mono-nuclear cells (PBMCs) and plasma of 82 RA patients with 15 matched controls and from knee fluid of 24 RA patients with ten osteoarthritis controls. Multivariate analyses were performed among lncRNAs and clinical parameters of RA. Results: MALAT1, MEG3, NEAT1 were increased in PBMCs, plasma, synovial fluid (p < 0.05) of RA patients. Significant correlations were observed for MEG3 with TJC (r = 0.29), NEAT1 with TJC (r = 0.49), swollen joint count (r = 0.20), DAS28-CRP (r = 0.29). Multivariate analysis revealed that 48.5% of TJC and 31.5% of swollen joint count could be predicted by lncRNAs. Conclusion: The findings suggested that the lncRNAs might be explored as probable markers in monitoring disease activity.
Keyphrases
- disease activity
- rheumatoid arthritis
- systemic lupus erythematosus
- ankylosing spondylitis
- rheumatoid arthritis patients
- peripheral blood
- juvenile idiopathic arthritis
- interstitial lung disease
- resting state
- network analysis
- genome wide identification
- total knee arthroplasty
- end stage renal disease
- induced apoptosis
- knee osteoarthritis
- ejection fraction
- atomic force microscopy
- peritoneal dialysis
- transcription factor
- cell proliferation