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Circular RNA expression profiles and identification of hsa_circ_0028381 as a potential biomarker of anti-neutrophil cytoplasmic antibody-associated vasculitis
Y. Liu1, X. Zhang2, Z. Ji3, L. Ma4, H. Chen5, L. Jiang6
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, and Centre of Clinical Epidemiology and Evidence-based Medicine, Fudan University, Shanghai, China. zsh-rheum@hotmail.com
CER15802
2023 Vol.41, N°4
PI 0837, PF 0847
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PMID: 36441649 [PubMed]
Received: 26/04/2022
Accepted : 29/09/2022
In Press: 16/11/2022
Published: 18/04/2023
Abstract
OBJECTIVES:
Accumulating evidence indicates the role of dysregulated circRNAs in autoimmune diseases. In this study, we investigated their role in anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) by analysing the expression profiles of circRNA in plasma of AAV patients and exploring their potential as biomarkers of AAV.
METHODS:
RNA-sequencing (RNA-seq) was performed to identify the plasma circRNA and mRNA expression profiles from five AAV patients and five healthy controls (HCs). Quantitative reverse-transcription (qRT)-PCR confirmed that hsa_circ_0028381 was confirmed to be significantly upregulated in a validation cohort of 51 AAV patients and 30 HCs and was further verified in other connective tissue diseases (CTDs). The diagnostic value of hsa_circ_0028381 was assessed by receiver operating characteristic (ROC) curve analysis.
RESULTS:
RNA expression profiles revealed aberrant expression of 143 circRNAs (62 upregulated and 81 downregulated) and 304 mRNAs (151 upregulated and 153 downregulated) in AAV patients compared to HCs. qRT-PCR verification suggested that hsa_circ_0028381 levels were significantly increased in plasma from AAV patients compared to those in HCs and other CTDs. ROC curve analysis showed has_circ_0028381 had good diagnostic value for distinguishing AAV patients from controls (HCs and other CTDs) with an area under the curve (AUC) of 0.81. In addition, hsa_circ_0028381 was associated with renal involvement. Most importantly, increased baseline levels of hsa_circ_0028381 had predictive value for progression to end-stage renal disease (ESRD).
CONCLUSIONS:
RNA-seq revealed that circRNAs are aberrantly expressed in the plasma of AAV patients. Hsa_circ_0028381 was implicated as a potential biomarker for AAV diagnosis and renal prognosis.