Dysregulation of long non-coding RNAs in Takayasu arteritis: A proof-of-concept study.
Fernanda Espinosa-BautistaMa Isabel Salazar-SanchezMalinalli Brianza-PadillaGloria León-AvilaAdrián Hernández-DiazCouderMaría Lilia Domínguez-LópezLuis M Amezcua GuerraCarlos Javier Pineda-VillaseñorPublished in: Clinical rheumatology (2024)
Takayasu arteritis (TAK) is a rare systemic vasculitis primarily affecting the aorta and its major branches. Early diagnosis is critical to prevent severe vascular complications, yet current biomarkers are insufficient. This proof-of-concept study explores the potential of long non-coding RNAs (lncRNAs) in TAK, an area largely unexplored. In this cross-sectional study, 53 TAK patients, 53 healthy controls, and 10 rheumatoid arthritis (RA) patients were enrolled. Clinical evaluations, disease activity assessments, and lncRNA expression levels were analyzed. TAK patients exhibited significant dysregulation in several lncRNAs, including THRIL (19.4, 11.1-48.8 vs. 62.5, 48.6-91.4 arbitrary units [a.u.]; p < 0.0001), HIF1A-AS1 (4.5, 1.8-16.6 vs. 26.5, 19.8-33.7 a.u.; p < 0.0001), MALAT-1 (26.9, 13.8-52.5 vs. 92.1, 58.5-92.1 a.u.; p < 0.0001), and HOTAIR (8.0, 2.5-24.5 vs. 36.0, 30.0-43.8 a.u.; p < 0.0001), compared to healthy controls. Notably, HOTAIR (area under the ROC curve [AUC] = 0.825), HIF1A-AS1 (AUC = 0.820), and THRIL (AUC = 0.781) demonstrated high diagnostic potential with superior specificity (approximately 95%). While lncRNAs showed diagnostic promise, no significant correlations with TAK activity were observed. Comparative analysis with RA patients revealed distinct lncRNA expression patterns. This study unveils significant dysregulation of lncRNAs THRIL, HIF1A-AS1, and HOTAIR in TAK patients, underscoring their potential as biomarkers and opening avenues for further research into the mechanistic roles of these lncRNAs in TAK pathogenesis.
Keyphrases
- rheumatoid arthritis
- end stage renal disease
- long non coding rna
- ejection fraction
- disease activity
- newly diagnosed
- chronic kidney disease
- poor prognosis
- patient reported outcomes
- risk assessment
- machine learning
- climate change
- network analysis
- pulmonary hypertension
- risk factors
- transcription factor
- big data
- early onset
- interstitial lung disease
- juvenile idiopathic arthritis
- pulmonary artery