Title:Serum Levels of Long Non-coding RNAs NEAT1, GAS5, and GAPLINC
Altered in Rheumatoid Arthritis
Volume: 20
Issue: 2
Author(s): Roghayeh Tofigh, Mohammadali Hosseinpourfeizi*, Reza Safaralizadeh, Sepideh Ghoddusifar and Behzad Baradaran*
Affiliation:
- Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran
- Immunology Research
Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Immunology, Faculty of Medicine,
Tabriz University of Medical Sciences, Tabriz, Iran
Keywords:
Rheumatoid arthritis, long non-coding RNA, biomarker, NEAT1, GAS5, GAPLINC.
Abstract:
Background: Rheumatoid arthritis (RA), an autoimmune joint inflammatory disease,
presents a significant challenge due to its prevalence, particularly among women, affecting around
6% of individuals over the age of 65. Novel insights into disease mechanisms are crucial for improved
diagnostic and therapeutic approaches.
Objective: Long non-coding RNAs (lncRNAs) have emerged as potential contributors to the pathogenesis
of various autoimmune diseases, including RA. This study aims to investigate the unique
roles of four lncRNAs-NEAT1, GAS5, TMEVPG1, and GAPLINC-in the etiology of RA.
Methods: Leveraging isolated serum samples from RA patients and healthy controls, we comprehensively
evaluated the expression profiles of these lncRNAs.
Results: Notably, our findings unveil a distinctive landscape of lncRNA expressions in RA.
Among them, GAPLINC exhibited a significantly elevated average expression in the serum samples
of RA patients, suggesting a potential biomarker candidate for disease stratification. Importantly,
reduced expression of NEAT1 and GAS5 was observed in RA patients, highlighting their
possible roles as diagnostic and prognostic markers. Conversely, TMEVPG1 displayed unaltered
expression levels in RA samples.
Conclusion: Our study introduces a novel dimension to RA research by identifying NEAT1,
GAS5, and GAPLINC as promising serological biomarkers. These findings hold significant clinical
implications, offering potential avenues for improved diagnosis, disease monitoring, and therapeutic
interventions in RA.
