Abstract: SA-PO943
Urinary Exosomal miRNA Signature of IgA Nephropathy: A Case-Control Study
Session Information
- Glomerular Diseases: Translational Studies and Biomarkers
November 04, 2023 | Location: Exhibit Hall, Pennsylvania Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Glomerular Diseases
- 1402 Glomerular Diseases: Clinical, Outcomes, and Trials
Author
- Shankar, Mythri, Institute of Nephro Urology, Bangalore, Karnataka, India
Background
IgAN is a progressive disease. The current gold standard for diagnoses is kidney biopsy-invasive procedure with life-threatening complications. The hour needs a non-invasive, reliable, stable & accurate biomarker.miRNAs are small, non-coding endogenous RNA.Urinary exosomes are rich in miRNA and can be used as novel non-invasive biomarkers.We aim to study the urinary exosomal miRNA signature of pts with IgAN.
Methods
50 biopsy-proven IgAN pts & 50 healthy controls were recruited in India. Urinary exosomes were isolated & miRNA extracted. Analysis was done with digital multiplexed nCounter® human miRNA Expression Assay which contains 799 unique miRNA barcodes. Lasso regression & consensus clustering were performed to discover significant miRNA.
Results
Mean age:36.8yrs. Male:Female=3:1. Mean creatinine & proteinuria : 2.2 mg/dl and 2.9 gms/day respectively. Majority miRNAs were significantly downregulated. A group of 5 candidate miRNAs hsa.miR.146b.3p+hsa.miR.599+hsa.miR.4532+hsa.miR.664b.5p+hsa.miR.221.5p which could successfully differentiate between IgAN cases and healthy controls with very high sensitivity and specificity.
Conclusion
The group of five candidate urinary exosomal miRNAshsa.miR.146b.3p+hsa.miR.599+hsa.miR.4532+hsa.miR.664b.5p+hsa.miR.221.5p has the potential to serve as novel non-invasive biomarkers for IgA nephropathy.
Model using the group of 5 miRNAs for diagnosis
| Accuracy (95% CI) | 1 (0.7151, 1) |
| Sensitivity | 1 |
| Specificity | 1 |
| Positive Predictive Value | 1 |
| Negative Predictive Value | 1 |
| Prevalence | 0.18 |
| Detection Rate | 0.18 |
| Detection Prevalence | 0.18 |
| AUC | 1 |
| Number of misclassified samples | 0 |
| Wrongly classified samples | NA |
| Kappa | 1 |
Heat map showing the 5 miRNAs with biomarker potential giving a accuracy of 99%
Funding
- Government Support – Non-U.S.