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Published on: July 8, 2020
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Circulating microRNA expression pattern separates patients with anti-neutrophil cytoplasmic antibody associated
C Skoglund1, A L Carlsen2, M Weiner3
1Department of Medical and Health Sciences, Linköping University, Sweden.
Clinical and Experimental Rheumatology
|May 29, 2015
Summary
Micro-RNAs in body fluids show potential as biomarkers for antineutrophil cytoplasmic antibody associated vasculitis (AAV). Specific micro-RNA expression patterns can differentiate AAV patients, aiding diagnosis and classification.
Area of Science:
- Biomarkers
- Molecular Diagnostics
- Vasculitis Research
Background:
- Antineutrophil cytoplasmic antibody associated vasculitis (AAV) presents an unpredictable clinical course, necessitating improved diagnostic and prognostic biomarkers.
- Micro-RNAs (miRNAs) in bodily fluids are stable and hold promise as potential biomarkers due to their protection from degradation.
Purpose of the Study:
- To explore the diagnostic and prognostic potential of circulating micro-RNA profiles in patients with AAV.
- To identify specific micro-RNA signatures that can differentiate AAV patients from healthy and disease controls.
Main Methods:
- Plasma samples from two independent AAV cohorts were analyzed alongside healthy and disease control groups.
- A panel of 32 micro-RNAs was quantified using microfluidic quantitative real-time PCR.
- miRNA expression data were correlated with clinical data and analyzed using cluster and principal component analysis (PCA).
Main Results:
- Seven individual micro-RNAs (miR-29a, -34a, -142-3p, -383, -20a, -92a, -221) exhibited differential expression in AAV patients compared to controls.
- Micro-RNA expression patterns successfully differentiated AAV patients from healthy subjects and renal transplant recipients.
- Renal involvement influenced miRNA expression, though consistent correlations with estimated glomerular filtration rate were not established.
Conclusions:
- This study provides the first evidence of circulating micro-RNA profiles in AAV, indicating their potential as diagnostic and classification biomarkers.
- Further research is required to identify the most effective micro-RNA biomarkers and elucidate the underlying mechanisms of their expression variations in AAV.
