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Published on: August 9, 2019
Proteinuria selectivity index in renal disease
Wen Liu1, Zhi-Hang Su1, Qi-Jun Wan1
1Department of Nephrology, the First Affiliated Hospital of Shenzhen University (Shenzhen Second People's Hospital), Shenzhen 518036, China.
The proteinuria selectivity index (PSI) assesses kidney disease by comparing protein clearance, aiding early detection and treatment prediction. This review explores PSI
Area of Science:
- Nephrology
- Clinical Chemistry
- Biomarker Research
Background:
- Early detection of kidney diseases is hindered by testing accessibility.
- Proteinuria selectivity index (PSI) evaluates glomerular permeability changes.
- PSI categorizes proteinuria patterns based on protein clearance rates.
Purpose of the Study:
- To review clinical applications and advancements of PSI in glomerular diseases.
- To compare PSI with existing renal function biomarkers.
- To discuss PSI's future as a predictive marker for biologic therapy response.
Main Methods:
- Review of clinical applications and recent advancements of PSI.
- Comparative analysis of PSI against common renal function biomarkers.
- Exploration of PSI's potential in predicting response to biologics.
Main Results:
- PSI is crucial for kidney disease classification, predicting corticosteroid efficacy, and prognosis.
- The review highlights PSI's role in assessing glomerular permeability.
- PSI demonstrates potential as a predictive marker for targeted therapies.
Conclusions:
- PSI is a valuable tool in managing glomerular diseases.
- Further research can establish PSI as a key predictive biomarker for personalized medicine.
- Advancements in PSI analysis offer improved diagnostic and prognostic capabilities.
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