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Published on: October 31, 2012
Urinary Kringle Domain-Containing Protein HGFL: A Validated Biomarker of Early Sickle Cell Anemia-Associated Kidney
Sergei Nekhai1,2,3, Xionghao Lin2,4, Simran Soni3
1Department of Microbiology, College of Medicine, Howard University, Washington, District of Columbia, USA.
Insights
Novel urinary HGFL biomarkers can help detect early chronic kidney disease (CKD) in sickle cell anemia (SCA) patients. HGFL aids in predicting CKD progression more effectively than traditional eGFR measurements.
Area of Science:
- Nephrology
- Hematology
- Biomarker Discovery
Background:
- Chronic kidney disease (CKD) is a common complication in sickle cell anemia (SCA).
- Hyperfiltration often masks early CKD detection in SCA patients.
- Novel urinary biomarkers are needed to predict renal disease progression.
Purpose of the Study:
- To identify novel urinary biomarkers for early CKD detection in SCA.
- To assess the utility of identified biomarkers in predicting CKD progression.
Main Methods:
- Mass spectrometry analysis of urinary samples.
- Identification of kringle domain-containing protein HGFL.
- Correlation analysis of HGFL levels with CKD stages and eGFR.
Main Results:
- Urinary HGFL levels correlated with hyperfiltration and were reduced in early CKD stages.
- HGFL levels negatively correlated with CKD progression.
- HGFL-based prediction of CKD progression to stage 2 outperformed eGFR.
- Validation in an independent patient cohort confirmed HGFL's utility.
Conclusions:
- Urinary HGFL shows potential as a biomarker for early CKD diagnosis in SCA patients.
- HGFL provides additional diagnostic information beyond eGFR.
- HGFL may improve the management of renal complications in SCA.
Introduction:
Chronic kidney disease (CKD) is a prevalent complication of sickle cell anemia (SCA). Hyperfiltration that delayed detection of CKD is common in SCA patients. Identification of novel urinary biomarkers correlating with glomerular filtration rates may help to detect and predict progression of renal disease.
Methods:
Reanalysis of mass spectra of urinary samples obtained from University of Illinois at Chicago identified kringle domain-containing protein HGFL.
Results:
HGFL levels correlated with hyperfiltration, were significantly reduced at CKD stage 1 compared to stage 0, negatively correlated with progression of CKD and were suitable for differentiation of stage 1. Better prediction of CKD progression to stage 2 was observed for HGFL-based risk prediction compared to the estimated glomerular filtration rate (eGFR)-based prediction. Results from a Howard University patient cohort supported the utility of HGFL-based test for the differentiation of stage 1 of CKD.
Conclusion:
Urinary HGFL may contribute additional information beyond eGFR and improve diagnosis of early-stage CKD in SCA patients.
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