Urine Proteomics Revealed a Significant Correlation Between Urine-Fibronectin Abundance and Estimated-GFR Decline in Patients with Bardet-Biedl Syndrome
Background:/Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is highly variable. To date, there is little information on the pathogenesis, the risk and predictor factors for poor renal outcome in this setting....
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Published in | Kidney & blood pressure research Vol. 43; no. 2; pp. 389 - 405 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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Basel, Switzerland
S. Karger AG
01.01.2018
Karger Publishers |
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Online Access | Get full text |
ISSN | 1420-4096 1423-0143 1423-0143 |
DOI | 10.1159/000488096 |
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Abstract | Background:/Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is highly variable. To date, there is little information on the pathogenesis, the risk and predictor factors for poor renal outcome in this setting. The present study aims to analyze the spectrum of urinary proteins in BBS patients, in order to potentially identify 1) disease-specific proteomic profiles that may differentiate the patients from normal subjects; 2) urinary markers of renal dysfunction. Methods: Fourteen individuals (7 males and 7 females) with a clinical diagnosis of BBS have been selected in this study. A pool of 10 aged-matched males and 10 aged-matched females have been used as controls for proteomic analysis. The glomerular filtration rate (eGFR) has been estimated using the CKD-EPI formula. Variability of eGFR has been retrospectively assessed calculating average annual eGFR decline (ΔeGFR) in a mean follow-up period of 4 years (3-7). Results: 42 proteins were significantly over- or under-represented in BBS patients compared with controls; the majority of these proteins are involved in fibrosis, cell adhesion and extracellular matrix organization. Statistic studies revealed a significant correlation between urine fibronectin (u-FN) (r 2 =0.28; p<0.05), CD44 antigen (r 2 =0.35; p<0.03) and lysosomal alfa glucosidase ( r 2 0.27; p<0.05) abundance with the eGFR. In addition, u-FN (r 2 =0.2389; p<0.05) was significantly correlated with ΔeGFR. Conclusion: The present study demonstrates that urine proteome of BBS patients differs from that of normal subjects; in addition, kidney dysfunction correlated with urine abundance of known markers of renal fibrosis. |
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AbstractList | Background:/Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is highly variable. To date, there is little information on the pathogenesis, the risk and predictor factors for poor renal outcome in this setting. The present study aims to analyze the spectrum of urinary proteins in BBS patients, in order to potentially identify 1) disease-specific proteomic profiles that may differentiate the patients from normal subjects; 2) urinary markers of renal dysfunction. Methods: Fourteen individuals (7 males and 7 females) with a clinical diagnosis of BBS have been selected in this study. A pool of 10 aged-matched males and 10 aged-matched females have been used as controls for proteomic analysis. The glomerular filtration rate (eGFR) has been estimated using the CKD-EPI formula. Variability of eGFR has been retrospectively assessed calculating average annual eGFR decline (ΔeGFR) in a mean follow-up period of 4 years (3-7). Results: 42 proteins were significantly over- or under-represented in BBS patients compared with controls; the majority of these proteins are involved in fibrosis, cell adhesion and extracellular matrix organization. Statistic studies revealed a significant correlation between urine fibronectin (u-FN) (r2=0.28; p<0.05), CD44 antigen (r2 =0.35; p<0.03) and lysosomal alfa glucosidase ( r20.27; p<0.05) abundance with the eGFR. In addition, u-FN (r2 =0.2389; p<0.05) was significantly correlated with ΔeGFR. Conclusion: The present study demonstrates that urine proteome of BBS patients differs from that of normal subjects; in addition, kidney dysfunction correlated with urine abundance of known markers of renal fibrosis. /Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is highly variable. To date, there is little information on the pathogenesis, the risk and predictor factors for poor renal outcome in this setting. The present study aims to analyze the spectrum of urinary proteins in BBS patients, in order to potentially identify 1) disease-specific proteomic profiles that may differentiate the patients from normal subjects; 2) urinary markers of renal dysfunction.BACKGROUND/Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is highly variable. To date, there is little information on the pathogenesis, the risk and predictor factors for poor renal outcome in this setting. The present study aims to analyze the spectrum of urinary proteins in BBS patients, in order to potentially identify 1) disease-specific proteomic profiles that may differentiate the patients from normal subjects; 2) urinary markers of renal dysfunction.Fourteen individuals (7 males and 7 females) with a clinical diagnosis of BBS have been selected in this study. A pool of 10 aged-matched males and 10 aged-matched females have been used as controls for proteomic analysis. The glomerular filtration rate (eGFR) has been estimated using the CKD-EPI formula. Variability of eGFR has been retrospectively assessed calculating average annual eGFR decline (ΔeGFR) in a mean follow-up period of 4 years (3-7).METHODSFourteen individuals (7 males and 7 females) with a clinical diagnosis of BBS have been selected in this study. A pool of 10 aged-matched males and 10 aged-matched females have been used as controls for proteomic analysis. The glomerular filtration rate (eGFR) has been estimated using the CKD-EPI formula. Variability of eGFR has been retrospectively assessed calculating average annual eGFR decline (ΔeGFR) in a mean follow-up period of 4 years (3-7).42 proteins were significantly over- or under-represented in BBS patients compared with controls; the majority of these proteins are involved in fibrosis, cell adhesion and extracellular matrix organization. Statistic studies revealed a significant correlation between urine fibronectin (u-FN) (r2=0.28; p<0.05), CD44 antigen (r2 =0.35; p<0.03) and lysosomal alfa glucosidase ( r20.27; p<0.05) abundance with the eGFR. In addition, u-FN (r2 =0.2389; p<0.05) was significantly correlated with ΔeGFR.RESULTS42 proteins were significantly over- or under-represented in BBS patients compared with controls; the majority of these proteins are involved in fibrosis, cell adhesion and extracellular matrix organization. Statistic studies revealed a significant correlation between urine fibronectin (u-FN) (r2=0.28; p<0.05), CD44 antigen (r2 =0.35; p<0.03) and lysosomal alfa glucosidase ( r20.27; p<0.05) abundance with the eGFR. In addition, u-FN (r2 =0.2389; p<0.05) was significantly correlated with ΔeGFR.The present study demonstrates that urine proteome of BBS patients differs from that of normal subjects; in addition, kidney dysfunction correlated with urine abundance of known markers of renal fibrosis.CONCLUSIONThe present study demonstrates that urine proteome of BBS patients differs from that of normal subjects; in addition, kidney dysfunction correlated with urine abundance of known markers of renal fibrosis. /Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is highly variable. To date, there is little information on the pathogenesis, the risk and predictor factors for poor renal outcome in this setting. The present study aims to analyze the spectrum of urinary proteins in BBS patients, in order to potentially identify 1) disease-specific proteomic profiles that may differentiate the patients from normal subjects; 2) urinary markers of renal dysfunction. Fourteen individuals (7 males and 7 females) with a clinical diagnosis of BBS have been selected in this study. A pool of 10 aged-matched males and 10 aged-matched females have been used as controls for proteomic analysis. The glomerular filtration rate (eGFR) has been estimated using the CKD-EPI formula. Variability of eGFR has been retrospectively assessed calculating average annual eGFR decline (ΔeGFR) in a mean follow-up period of 4 years (3-7). 42 proteins were significantly over- or under-represented in BBS patients compared with controls; the majority of these proteins are involved in fibrosis, cell adhesion and extracellular matrix organization. Statistic studies revealed a significant correlation between urine fibronectin (u-FN) (r2=0.28; p<0.05), CD44 antigen (r2 =0.35; p<0.03) and lysosomal alfa glucosidase ( r20.27; p<0.05) abundance with the eGFR. In addition, u-FN (r2 =0.2389; p<0.05) was significantly correlated with ΔeGFR. The present study demonstrates that urine proteome of BBS patients differs from that of normal subjects; in addition, kidney dysfunction correlated with urine abundance of known markers of renal fibrosis. Background:/Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is highly variable. To date, there is little information on the pathogenesis, the risk and predictor factors for poor renal outcome in this setting. The present study aims to analyze the spectrum of urinary proteins in BBS patients, in order to potentially identify 1) disease-specific proteomic profiles that may differentiate the patients from normal subjects; 2) urinary markers of renal dysfunction. Methods: Fourteen individuals (7 males and 7 females) with a clinical diagnosis of BBS have been selected in this study. A pool of 10 aged-matched males and 10 aged-matched females have been used as controls for proteomic analysis. The glomerular filtration rate (eGFR) has been estimated using the CKD-EPI formula. Variability of eGFR has been retrospectively assessed calculating average annual eGFR decline (ΔeGFR) in a mean follow-up period of 4 years (3-7). Results: 42 proteins were significantly over- or under-represented in BBS patients compared with controls; the majority of these proteins are involved in fibrosis, cell adhesion and extracellular matrix organization. Statistic studies revealed a significant correlation between urine fibronectin (u-FN) (r 2 =0.28; p<0.05), CD44 antigen (r 2 =0.35; p<0.03) and lysosomal alfa glucosidase ( r 2 0.27; p<0.05) abundance with the eGFR. In addition, u-FN (r 2 =0.2389; p<0.05) was significantly correlated with ΔeGFR. Conclusion: The present study demonstrates that urine proteome of BBS patients differs from that of normal subjects; in addition, kidney dysfunction correlated with urine abundance of known markers of renal fibrosis. |
Author | Caterino, Marianna Bruno, Giuliana Ruoppolo, Margherita Zacchia, Miriam Capasso, Giovambattista Costanzo, Michele Trepiccione, Francesco Siciliano, Rosa Anna Arcaniolo, Davide Mazzeo, Maria Fiorella |
Author_xml | – sequence: 1 givenname: Marianna surname: Caterino fullname: Caterino, Marianna – sequence: 2 givenname: Miriam surname: Zacchia fullname: Zacchia, Miriam email: miriamzacchia@virgilio.it – sequence: 3 givenname: Michele surname: Costanzo fullname: Costanzo, Michele – sequence: 4 givenname: Giuliana surname: Bruno fullname: Bruno, Giuliana – sequence: 5 givenname: Davide surname: Arcaniolo fullname: Arcaniolo, Davide – sequence: 6 givenname: Francesco surname: Trepiccione fullname: Trepiccione, Francesco – sequence: 7 givenname: Rosa Anna surname: Siciliano fullname: Siciliano, Rosa Anna – sequence: 8 givenname: Maria Fiorella surname: Mazzeo fullname: Mazzeo, Maria Fiorella – sequence: 9 givenname: Margherita surname: Ruoppolo fullname: Ruoppolo, Margherita – sequence: 10 givenname: Giovambattista surname: Capasso fullname: Capasso, Giovambattista |
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Keywords | Kidney dysfunction Urine proteome GFR decline Bardet-Biedl Syndrome Fibronectin |
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Snippet | Background:/Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is... /Aims: Renal disease is a common cause of morbidity in patients with Bardet-Biedl syndrome (BBS), however the severity of kidney dysfunction is highly... |
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SubjectTerms | Bardet-Biedl Syndrome Biomarkers Blood pressure CD44 antigen Cell adhesion Correlation analysis Defects Diabetes Epidermal growth factor receptors Extracellular matrix Females Fibronectin Fibrosis GFR decline Glomerular filtration rate Glucosidase Glycoproteins Hypertension Identification Kidney diseases Kidney dysfunction Kidneys Males Markers Mathematical analysis Morbidity Original Paper Pathogenesis Patients Peptides Physiology Proteins Proteomics Renal function Risk factors Urine Urine proteome |
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Title | Urine Proteomics Revealed a Significant Correlation Between Urine-Fibronectin Abundance and Estimated-GFR Decline in Patients with Bardet-Biedl Syndrome |
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