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Updated: Aug 28, 2025
Detection of microRNA Expression in Peritoneal Membrane of Rats Using Quantitative Real-time PCR
Published on: June 27, 2017
Peritoneal effluent MicroRNA profile for detection of encapsulating peritoneal sclerosis.
Kun-Lin Wu1, Che-Yi Chou2, Hui-Yin Chang3
1Department of Biomedical Sciences and Engineering, Institute of Systems Biology and Bioinformatics, National Central University, Taoyuan, Taiwan; Division of Nephrology, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan; Division of Nephrology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
A novel microRNA (miRNA) test using peritoneal dialysis (PD) fluid can predict encapsulating peritoneal sclerosis (EPS). This noninvasive diagnostic model shows high accuracy, aiding in early EPS detection and treatment decisions.
Area of Science:
- Biomarkers
- Molecular Diagnostics
- Renal Medicine
Background:
- Encapsulating peritoneal sclerosis (EPS) is a severe complication of peritoneal dialysis (PD) with significant mortality.
- Current diagnostic methods for EPS lack noninvasive approaches.
Purpose of the Study:
- To develop a novel, noninvasive microRNA (miRNA) test for the early detection of EPS.
- To identify specific miRNA signatures in PD effluent for EPS prediction.
Main Methods:
- Collected 142 PD effluent samples (62 EPS, 80 non-EPS).
- Utilized high-throughput real-time PCR array for initial miRNA screening, followed by single real-time PCR for verification.
- Employed multiple logistic regression and machine learning models for EPS prediction analysis.
Main Results:
- Identified seven candidate miRNAs from 377 screened.
- A model using five miRNA ratios achieved high diagnostic accuracy (AUC 0.97-0.99) with machine learning and logistic regression.
- Pathway analysis indicated the involvement of these miRNAs in the TGF-β signaling pathway.
Conclusions:
- Model-based miRNA expression in PD effluent can predict EPS probability.
- This noninvasive test may guide therapeutic strategies for EPS management.
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