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Revealing Long Noncoding RNAs as Potential Biomarkers for Rheumatoid Arthritis Through High-Throughput Sequencing and
Chen Peng1,2,3,4, Lan You1,2,3,4, Ze-Hao Wang2,3,4
1Department of Laboratory Medicine, West China Tianfu Hospital of Sichuan University, Chengdu, China.
Long non-coding RNAs (lncRNAs) like LINC01881 and MIR3142HG show potential as rheumatoid arthritis (RA) biomarkers. Their combined use improves diagnostic accuracy, offering new insights into RA pathogenesis and inflammation.
Area of Science:
- Epigenetics
- Molecular Biology
- Rheumatology
Background:
- Long non-coding RNAs (lncRNAs) are key epigenetic regulators in gene-environment interactions.
- lncRNAs are implicated in the progression of rheumatoid arthritis (RA).
Purpose of the Study:
- To identify differentially expressed lncRNAs as potential diagnostic biomarkers for RA.
- To investigate the diagnostic performance and potential mechanisms of identified lncRNAs in RA.
Main Methods:
- High-throughput RNA sequencing of peripheral blood mononuclear cells (PBMCs) from RA patients and healthy controls.
- Reverse transcription quantitative polymerase chain reaction (RT-qPCR) for validation.
- Bioinformatic analysis to predict molecular pathways and interactions.
Main Results:
- Eight lncRNAs were identified as potential RA biomarkers.
- LINC01881 and MIR3142HG were validated, showing moderate diagnostic performance (AUCs 0.713 and 0.723).
- Combination of LINC01881 and MIR3142HG improved diagnostic efficacy (AUC 0.786). LINC01881 correlated with inflammation markers (CRP, ESR), and MIR3142HG with platelet count.
Conclusions:
- MIR3142HG and LINC01881 are promising diagnostic biomarkers for RA.
- LINC01881 may regulate inflammation via the PI3K-Akt pathway.
- MIR3142HG may be involved in platelet biology.
- Further studies are needed to confirm mechanisms and clinical utility.
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