Urinary Ceruloplasmin Concentration Predicts Development of Kidney Disease in Sickle Cell Disease Patients

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4865-4865 ◽  
Author(s):  
Santosh L. Saraf ◽  
Xionghao Lin ◽  
Gillian Lee ◽  
Elena Afia Adjei ◽  
Namita Kumari ◽  
...  

Abstract BACKGROUND: Chronic kidney disease (CKD) is a prevalent complication of sickle cell disease (SCD) and associated with early mortality. Hemoglobinuria is a risk factor for the development and progression of CKD. Discovery and validation of non-invasive biomarkers for early stage renal disease are needed to facilitate optimal CKD treatment. Mass-spectrometry analysis of patient urine is a modern method for biomarker discovery. Urine from patients with late stages of glomerular disease contains a large number of abundant plasma proteins that overwhelm and complicate mass-spectrometry analysis. Thus, analysis of samples collected before the onset of kidney disease is a promising approach. Abnormal renal iron metabolism including cortical iron deposition is characteristic of SCD nephropathy. Ceruloplasmin is a ferrioxidase that is important facilitator of cellular iron export by ferroportin and of iron binding by transferrin. OBJECTIVES: We aimed to use mass-spectrometry to determine urinary biomarkers in SCD patients without renal disease that may predict the development of CKD and to validate the biomarkers by ELISA. METHODS: Mass-spectrometry analysis was performed on urine samples from eight University of Illinois at Chicago (UIC) SCD patients without CKD. Proteins were identified using Proteome Discoverer 1.4 and quantified using SIEVE 2.0 program. Ceruloplasmin concentrations were determined by ELISA in these eight subjects for the validation of our mass spectrometry analysis findings plus an additional 12 UIC SCD patients without CKD. Urine ceruloplasmin and free hemoglobin concentrations were determined by ELISA in an additional 34 UIC SCD patients with CKD stage ranging from 0-5. RESULTS: Label-free quantitative proteomic analysis of urine samples collected from SCD patients without CKD showed greater ceruloplasmin levels in 2 samples with hemoglobinuria versus 6 samples without hemoglboinuria (37.4-fold, p=2.7x10-8). Analysis of all twenty non-CKD samples by ELISA showed 2.5-fold higher levels of ceruloplasmin in hemoglobinuria samples (p=0.003). To determine whether urine ceruloplasmin correlated with CKD stage, we analyzed an additional 34 samples with and without CKD. Samples with CKD stages 2-5 (N=12) demonstrated higher levels of ceruloplasmin than stages 0-1 (N=22) (1.7-fold increase, p=0.008) (Figure 1A). In an additional analysis of these results, individual CKD disease stage correlated with urinary concentrations of ceruloplasmin (N=34, r=0.49, p=0.0035) (Figure 1B) and cell free hemoglobin (N=34, r=0.45, p=0.007) (Figure 1C). The correlation of ceruloplasmin concentration with CKD stage in the SCD patients showed high sensitivity and specificity (area under curve 90.7±6.8; p-value=0.018) by ROCK analysis. Finally, urinary ceruloplasmin concentration demonstrated a strong correlation with free hemoglobin concentration (r=0.79). CONCLUSIONS: Urinary ceruloplasmin may complement urinary free hemoglobin as a non-invasive biomarker of risk for CKD in SCD patients. ACKNOWLEDGMENTS: This work was supported by NIH Research Grants 1P50HL118006, 1R01HL125005, 5G12MD007597 and K23HL125984. The content is solely the responsibility of the authors and does not necessarily represent the official view of NHLBI, NIMHD or NIH. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 968-968
Author(s):  
Nowah Kokou Apeadoufia Afangbedji ◽  
James G. Taylor ◽  
Sergei Nekhai ◽  
Marina Jerebtsova

Abstract Background: Sickle cell nephropathy (SCN) is one of the most common complications of SCD, leading in most cases to chronic kidney disease (CKD) and end-stage renal disease (ESRD). Despite the high prevalence of CKD in sickle cell disease (SCD) patients, there remains a poor understanding of the pathophysiological mechanism of SCN and a lack of biomarkers for early detection of SCD-associated CKD. Soluble urokinase-type plasminogen activator receptor (suPAR) is an emerging biomarker of CKD. suPAR is a member of the fibrinolytic system, which is dysregulated in SCD patients. Objective: To evaluate suPAR as a biomarker of SCD-associated nephropathy and identify plasma proteases responsible for its increase in SCD. Methods: The study was approved by Howard University review board (IRB) and all subjects provided written inform consent prior to the sample collection. Whole blood and urine samples were collected from 77 SCD patients and 10 healthy individuals, and plasma was isolated. Levels of creatinine and cystatin C in plasma and albumin and creatinine in urine were measured by ELISA. eGFR was calculated using CKD-EPI creatinine-cystatin equation, and CKD stages were assigned. Plasma suPAR was measured by ELISA and was correlated with CKD stages. The activities of candidates uPAR proteases: Neutrophile elastase (NE), urokinase-type plasminogen activator (uPA) and plasmin in plasma samples from SCD patients were measured and compared to healthy participants. Results: The average age of SCD patients was 42.5 years (range 18-67 years). Most patients had HbSS genotype (67.5%),19.5% of patients were HbSC (hemoglobin C sickle cell compound heterozygous), and 13% had HbS β-thalassemia. More than half (53.2 %) were females. We observed an increased level of plasma suPAR (>3ng/ml) in more than 60% of SCA patients without renal disease, representing a risk factor for CKD progression. Plasma suPAR levels further increased in the patients with CKD and positively correlated with stages of CKD (r=0.419, R2=0.1696). Analysis of plasma proteases that cleaved uPAR producing soluble peptides (suPAR) demonstrated increased urokinase-type plasminogen activator (uPA) activity without significant changes in neutrophile elastase. Conclusion: This study validated plasma suPAR as a potential marker of CKD in SCD patients and identified plasma uPA as a uPAR protease that may increase circulating suPAR in SCD. Future longitudinal analysis of suPAR levels in patients with SCA is needed. Acknowledgments: We thank Drs. Namita Kumari and Xiaomei Niu for their help in samples identification. This work was supported by NIH Research Grants 1R01HL125005-06A1, 5U54MD007597, 1P30AI117970-06,1UM1AI26617, and 1SC1HL150685. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 5 (1) ◽  
pp. e001003
Author(s):  
Karl Holden ◽  
Misty Makinde ◽  
Michael Wilde ◽  
Matthew Richardson ◽  
Tim Coats ◽  
...  

BackgroundInvestigating airway inflammation and pathology in wheezy preschool children is both technically and ethically challenging. Identifying and validating non-invasive tests would be a huge clinical advance. Real-time analysis of exhaled volatile organic compounds (VOCs) in adults is established, however, the feasibility of this non-invasive method in young children remains undetermined.AimTo determine the feasibility and acceptability of obtaining breath samples from preschool children by means of real-time mass spectrometry analysis of exhaled VOCs.MethodsBreath samples from preschool children were collected and analysed in real time by proton transfer reaction–time of flight–mass spectrometry (PTR–TOF–MS) capturing unique breath profiles. Acetone (mass channel m/z 59) was used as a reference profile to investigate the breath cycle in more detail. Dynamic time warping (DTW) was used to compare VOC profiles from adult breath to those we obtained in preschool children.Results16 children were recruited in the study, of which eight had acute doctor-diagnosed wheeze (mean (range) age 3.2 (1.9–4.5) years) and eight had no history of wheezing (age 3.3 (2.2–4.1) years). Fully analysable samples were obtained in 11 (68%). DTW was used to ascertain the distance between the time series of mass channel m/z 59 (acetone) and the other 193 channels. Commonality of 12 channels (15, 31, 33, 41, 43, 51, 53, 55, 57, 60, 63 and 77) was established between adult and preschool child samples despite differences in the breathing patterns.ConclusionReal-time measurement of exhaled VOCs by means of PTR–MS is feasible and acceptable in preschool children. Commonality in VOC profiles was found between adult and preschool children.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4841-4841
Author(s):  
Xionghao Lin ◽  
Elena Afia Adjei ◽  
Santosh L. Saraf ◽  
Victor R. Gordeuk ◽  
Sergei A. Nekhai ◽  
...  

Abstract Background: Chronic kidney disease (CKD) is a prevalent complication of sickle cell disease (SCD) associated with early mortality. Hemoglobinuria is a risk factor for the development of albuminuria and CKD. Currently, there are no biomarkers that predict outcome of CKD. Mass-spectrometry analysis of patient urine is a highly potent modern method for biomarker discovery. An in vitro glomerular permeability assay has been used as a non-invasive test for glomerular disease prognosis. Application of this assay to urinary samples collected before kidney disease onset provides a unique opportunity for differential proteomics of a limited number of urinary proteins. In combination with high resolution/selected ion monitoring (HR/SIM) mass-spectrometry methodology, this experimental platform provides an opportunity for biomarker discovery and validation of proteins whose concentration is too low to be detected by an immunological assay. Objectives: We aimed to determine a biomarker of early stage kidney disease using samples collected from the patients of the Center for Sickle Cell Disease at Howard University. We then used HR/SIM method to validate this biomarker in the cohort of SCD patients with and without CKD from University of Illinois at Chicago (UIC). Methods:Urinary protein, creatinine, albumin were measured by ELISA. The pH and specific gravity (SG) were determined by Multistix. Glomeruli were isolated from the murine kidney (FVB/N strain) and albumin permeability (Palb) activity was determined using urine samples collected from patients of the Center for Sickle Cell Disease, Howard University. Mass-spectrometry analysis was performed and Protein Discovery 1.4 and SIEVE 2.0 programs were used for protein analysis and label-free quantification. Heavy isotope labeled peptide EDQTSPAPGLR(13C6, 15N) was used as an internal standard for HR/SIM analysis of the samples from UIC. Results: Glomerular permeability assay was performed using six urinary samples collected from patients of the Center for Sickle Cell Disease, Howard University. Mass-spectrometry assay was performed for all samples. Samples with similar values of protein, albumin, creatinine, pH and SG, but different Palb activity were compared by SIEVE 2.0. Higher levels of hepatocyte growth factor-like (HGFL) protein were observed in three samples that induced glomerular permeability compared to three samples that did not. Since our attempts to produce antibodies to HGFL peptide for an ELISA assay were unsuccessful, we developed a HR/SIM method to measure HGFL peptide in urine. HR/SIM was performed for eight urine samples from the UIC cohort by measuring the ratio of ion peaks of HGFL peptide (m/z 585.79) and internal standard (IS) (m/z 590.80) (Fig. 1A). HGFL levels were found to be significantly increased (1.72-fold, p=0.015) in the urine samples of two patients at risk of developing renal disease based on the presence of hemoglobinuria compared to six samples without hemoglobinuria (Fig. 1B). Conclusions: Combination of in vitro glomerular permeability assay with mass-spectrometry method of protein discovery and HR/SIM validation assay may be a useful platform for discovery of biomarker of early stage of CKD. Urinary level of HGFL may serve as a prognostic marker for development of CKD in SCD patients. A limitation of our study is the small number of samples used for validation. Acknowledgments: This work was supported by NIH Research Grants 1P50HL118006, 1R01HL125005 and 5G12MD007597. The content is solely the responsibility of the authors and does not necessarily represent the official view of NHLBI, NIMHD or NIH. Figure 1 HR/SIM analysis of HGFL peptide in human urine. (A)The ion peaks of HGFL peptide m/z 585.79 and internal standard (IS) m/z 590.80 were chosen for the high resolution/selective ion monitoring (HR/SIM) analysis using LTQ Orbitrap XL™ mass spectrometer. Extracted ion chromatograms (EICs) were based on a ±0.01 Da mass extraction window (MEW) centered on the theoretical m/z. (B) SCD patients at risk for developing renal disease based on the presence of hemoglobinuria showed significantly increased HGFL levels (1.72-fold, p=0.015). Figure 1. HR/SIM analysis of HGFL peptide in human urine. (A)The ion peaks of HGFL peptide m/z 585.79 and internal standard (IS) m/z 590.80 were chosen for the high resolution/selective ion monitoring (HR/SIM) analysis using LTQ Orbitrap XL™ mass spectrometer. Extracted ion chromatograms (EICs) were based on a ±0.01 Da mass extraction window (MEW) centered on the theoretical m/z. (B) SCD patients at risk for developing renal disease based on the presence of hemoglobinuria showed significantly increased HGFL levels (1.72-fold, p=0.015). Disclosures No relevant conflicts of interest to declare.


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