Sergei Nekhai1,2,3, Xionghao Lin2,4, Simran Soni3, Ammanuel Taye3, Nathan Smith3, Nowah Afangbedji2, Santosh L Saraf5, Victor R Gordeuk5, James G Taylor2,3, Marina Jerebtsova1. 1. Department of Microbiology, College of Medicine, Howard University, Washington, District of Columbia, USA. 2. Center for Sickle Cell Disease, College of Medicine, Howard University, Washington, District of Columbia, USA. 3. Department of Medicine, College of Medicine, Howard University, Washington, District of Columbia, USA. 4. Department of Oral Pathology, College of Dentistry, Howard University, Washington, District of Columbia, USA. 5. Division of Hematology and Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Abstract
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.
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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