Serum Retinol-Binding Protein Concentration and Its Association with Components of the Uremic Metabolic Syndrome in Nondiabetic Patients with Chronic Kidney Disease Stage 5
Introduction: Chronic kidney disease (CKD) is associated with insulin resistance also in the absence of overt diabetes mellitus. The liver-derived transport protein retinol-binding protein (RBP) has recently been proposed as a novel adipokine involved in the metabolism of glucose. Although RBP is el...
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Veröffentlicht in: | American journal of nephrology 2009-01, Vol.29 (5), p.447-453 |
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creator | Axelsson, Jonas O’Byrne, Sheila M. Blaner, William S. Carrero, Juan Jesús Bruchfeld, Annette Heimbürger, Olof Bárány, Peter Lindholm, Bengt Stenvinkel, Peter |
description | Introduction: Chronic kidney disease (CKD) is associated with insulin resistance also in the absence of overt diabetes mellitus. The liver-derived transport protein retinol-binding protein (RBP) has recently been proposed as a novel adipokine involved in the metabolism of glucose. Although RBP is elevated in type 2 diabetics with mild CKD, its role in advanced CKD is not well studied. We hypothesized that altered RBP levels in CKD could be one factor contributing to the uremic insulin resistance. Patients and Methods: In a cross-sectional study, we evaluated 141 nondiabetic stage 5 CKD patients (GFR 6.8 ± 2.0 ml/min; 62% males, mean age 52 ± 11 years) close to the start of renal replacement therapy. We studied circulating RBP (RIA), retinol and metabolic markers. Body composition was also assessed using DEXA and patients were divided according to truncal fat mass above (obese) or below (lean) the sex-specific median. A fasting plasma glucose ≥6.1 mM was defined as impaired glucose tolerance (IGT). Results: Serum RBP levels were significantly elevated in CKD as compared to previous reports in non-renal patients. Whereas levels of RBP did not differ between lean and obese patients without IGT, they were lower in lean CKD patients with IGT (5.9 ± 2.9 μM) than in obese CKD patients with IGT (7.0 ± 2.9 μM; p < 0.05). While RBP did not correlate with truncal or total fat mass or biomarkers of inflammation, in univariate analysis, we found weak correlations with HbA1c% (rho = 0.17; p < 0.05), fasting serum triglycerides (rho = 0.20; p < 0.001) and fasting apolipoprotein (Apo) A1 (rho = 0.29; p < 0.001). RBP also correlated negatively with ApoB (rho = –0.29; p < 0.001). In multivariate analysis, RBP was a significant and independent predictor of both HbA1c% and ApoA1 levels. Finally, RBP was strongly correlated with serum retinol, and calculating a retinol/RBP index further strengthened the observed correlations with HOMA-IR and HbA1c%. Conclusions: RBP is elevated in nondiabetic stage 5 CKD and correlates weakly with HbA1c and ApoA1. As RBP is thought to induce insulin resistance and directly affect lipoprotein metabolism in other disease states, these findings may support a role for RBP in contributing to the uremic metabolic syndrome, putatively by altering ApoA1 metabolism, but further studies are needed to test this hypothesis. |
doi_str_mv | 10.1159/000176534 |
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The liver-derived transport protein retinol-binding protein (RBP) has recently been proposed as a novel adipokine involved in the metabolism of glucose. Although RBP is elevated in type 2 diabetics with mild CKD, its role in advanced CKD is not well studied. We hypothesized that altered RBP levels in CKD could be one factor contributing to the uremic insulin resistance. Patients and Methods: In a cross-sectional study, we evaluated 141 nondiabetic stage 5 CKD patients (GFR 6.8 ± 2.0 ml/min; 62% males, mean age 52 ± 11 years) close to the start of renal replacement therapy. We studied circulating RBP (RIA), retinol and metabolic markers. Body composition was also assessed using DEXA and patients were divided according to truncal fat mass above (obese) or below (lean) the sex-specific median. A fasting plasma glucose ≥6.1 mM was defined as impaired glucose tolerance (IGT). Results: Serum RBP levels were significantly elevated in CKD as compared to previous reports in non-renal patients. Whereas levels of RBP did not differ between lean and obese patients without IGT, they were lower in lean CKD patients with IGT (5.9 ± 2.9 μM) than in obese CKD patients with IGT (7.0 ± 2.9 μM; p < 0.05). While RBP did not correlate with truncal or total fat mass or biomarkers of inflammation, in univariate analysis, we found weak correlations with HbA1c% (rho = 0.17; p < 0.05), fasting serum triglycerides (rho = 0.20; p < 0.001) and fasting apolipoprotein (Apo) A1 (rho = 0.29; p < 0.001). RBP also correlated negatively with ApoB (rho = –0.29; p < 0.001). In multivariate analysis, RBP was a significant and independent predictor of both HbA1c% and ApoA1 levels. Finally, RBP was strongly correlated with serum retinol, and calculating a retinol/RBP index further strengthened the observed correlations with HOMA-IR and HbA1c%. Conclusions: RBP is elevated in nondiabetic stage 5 CKD and correlates weakly with HbA1c and ApoA1. As RBP is thought to induce insulin resistance and directly affect lipoprotein metabolism in other disease states, these findings may support a role for RBP in contributing to the uremic metabolic syndrome, putatively by altering ApoA1 metabolism, but further studies are needed to test this hypothesis.</description><identifier>ISSN: 0250-8095</identifier><identifier>ISSN: 1421-9670</identifier><identifier>EISSN: 1421-9670</identifier><identifier>DOI: 10.1159/000176534</identifier><identifier>PMID: 19023195</identifier><identifier>CODEN: AJNED9</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Adult ; Apolipoprotein A-I - blood ; Cross-Sectional Studies ; Female ; Humans ; Insulin Resistance ; Kidney Failure, Chronic - metabolism ; Male ; Medicin och hälsovetenskap ; Middle Aged ; Multivariate Analysis ; Obesity - metabolism ; Original Report: Patient-Oriented, Translational Research ; Regression Analysis ; Retinol-Binding Proteins - metabolism ; Uremia - metabolism ; Vitamin A - blood</subject><ispartof>American journal of nephrology, 2009-01, Vol.29 (5), p.447-453</ispartof><rights>2008 S. Karger AG, Basel</rights><rights>Copyright (c) 2008 S. Karger AG, Basel.</rights><rights>Copyright (c) 2009 S. Karger AG, Basel</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-fcefeb5c67872b3a942727a601210c24f699ab9ed614df99ee6c867ab95f17223</citedby><cites>FETCH-LOGICAL-c450t-fcefeb5c67872b3a942727a601210c24f699ab9ed614df99ee6c867ab95f17223</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,2429,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19023195$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:118604865$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Axelsson, Jonas</creatorcontrib><creatorcontrib>O’Byrne, Sheila M.</creatorcontrib><creatorcontrib>Blaner, William S.</creatorcontrib><creatorcontrib>Carrero, Juan Jesús</creatorcontrib><creatorcontrib>Bruchfeld, Annette</creatorcontrib><creatorcontrib>Heimbürger, Olof</creatorcontrib><creatorcontrib>Bárány, Peter</creatorcontrib><creatorcontrib>Lindholm, Bengt</creatorcontrib><creatorcontrib>Stenvinkel, Peter</creatorcontrib><title>Serum Retinol-Binding Protein Concentration and Its Association with Components of the Uremic Metabolic Syndrome in Nondiabetic Patients with Chronic Kidney Disease Stage 5</title><title>American journal of nephrology</title><addtitle>Am J Nephrol</addtitle><description>Introduction: Chronic kidney disease (CKD) is associated with insulin resistance also in the absence of overt diabetes mellitus. The liver-derived transport protein retinol-binding protein (RBP) has recently been proposed as a novel adipokine involved in the metabolism of glucose. Although RBP is elevated in type 2 diabetics with mild CKD, its role in advanced CKD is not well studied. We hypothesized that altered RBP levels in CKD could be one factor contributing to the uremic insulin resistance. Patients and Methods: In a cross-sectional study, we evaluated 141 nondiabetic stage 5 CKD patients (GFR 6.8 ± 2.0 ml/min; 62% males, mean age 52 ± 11 years) close to the start of renal replacement therapy. We studied circulating RBP (RIA), retinol and metabolic markers. Body composition was also assessed using DEXA and patients were divided according to truncal fat mass above (obese) or below (lean) the sex-specific median. A fasting plasma glucose ≥6.1 mM was defined as impaired glucose tolerance (IGT). Results: Serum RBP levels were significantly elevated in CKD as compared to previous reports in non-renal patients. Whereas levels of RBP did not differ between lean and obese patients without IGT, they were lower in lean CKD patients with IGT (5.9 ± 2.9 μM) than in obese CKD patients with IGT (7.0 ± 2.9 μM; p < 0.05). While RBP did not correlate with truncal or total fat mass or biomarkers of inflammation, in univariate analysis, we found weak correlations with HbA1c% (rho = 0.17; p < 0.05), fasting serum triglycerides (rho = 0.20; p < 0.001) and fasting apolipoprotein (Apo) A1 (rho = 0.29; p < 0.001). RBP also correlated negatively with ApoB (rho = –0.29; p < 0.001). In multivariate analysis, RBP was a significant and independent predictor of both HbA1c% and ApoA1 levels. Finally, RBP was strongly correlated with serum retinol, and calculating a retinol/RBP index further strengthened the observed correlations with HOMA-IR and HbA1c%. Conclusions: RBP is elevated in nondiabetic stage 5 CKD and correlates weakly with HbA1c and ApoA1. As RBP is thought to induce insulin resistance and directly affect lipoprotein metabolism in other disease states, these findings may support a role for RBP in contributing to the uremic metabolic syndrome, putatively by altering ApoA1 metabolism, but further studies are needed to test this hypothesis.</description><subject>Adult</subject><subject>Apolipoprotein A-I - blood</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Insulin Resistance</subject><subject>Kidney Failure, Chronic - metabolism</subject><subject>Male</subject><subject>Medicin och hälsovetenskap</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Obesity - metabolism</subject><subject>Original Report: Patient-Oriented, Translational Research</subject><subject>Regression Analysis</subject><subject>Retinol-Binding Proteins - metabolism</subject><subject>Uremia - metabolism</subject><subject>Vitamin A - blood</subject><issn>0250-8095</issn><issn>1421-9670</issn><issn>1421-9670</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkkFv1DAQhS0EotuFA3eELA5IHAK2E9vxsV0KVBSoWHqOHGey63ZjL7ajav8TPxKXLF0JCXHy6Ol7b8b2IPSMkjeUcvWWEEKl4GX1AM1oxWihhCQP0YwwToqaKH6EjmO8zhSriXyMjqgirKSKz9DPJYRxwN8gWec3xal1nXUrfBl8AuvwwjsDLgWdrHdYuw6fp4hPYvTGTtqtTeuMDVvvMhix73FaA74KMFiDP0PSrd_karlzXfAD4Jz6xecuus09Db7MMb-NU9A6eJfVT7ZzsMPvbAQdAS-TXgHmT9CjXm8iPN2fc3T1_uz74mNx8fXD-eLkojAVJ6noDfTQciNkLVlbalUxyaQW-fqUGFb1QindKugErbpeKQBhaiGzxHsqGSvnqJhy4y1sx7bZBjvosGu8ts1euskVNFxQKu549U9-G3x3MP0xUloLUtX5z-bo1eTN4I8RYmoGGw1sNtqBH2MjJKO8lPV_QUYUoSUhGXz5F3jtx-DygzWsFEqUkpQZej1BJvgYA_T3Q1PS3C1Vc79UmX2xDxzbAboDud-iDDyfgBsdVhAOwOT_Bclp0sY</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Axelsson, Jonas</creator><creator>O’Byrne, Sheila M.</creator><creator>Blaner, William S.</creator><creator>Carrero, Juan Jesús</creator><creator>Bruchfeld, Annette</creator><creator>Heimbürger, Olof</creator><creator>Bárány, Peter</creator><creator>Lindholm, Bengt</creator><creator>Stenvinkel, Peter</creator><general>S. 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blood</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Insulin Resistance</topic><topic>Kidney Failure, Chronic - metabolism</topic><topic>Male</topic><topic>Medicin och hälsovetenskap</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Obesity - metabolism</topic><topic>Original Report: Patient-Oriented, Translational Research</topic><topic>Regression Analysis</topic><topic>Retinol-Binding Proteins - metabolism</topic><topic>Uremia - metabolism</topic><topic>Vitamin A - blood</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Axelsson, Jonas</creatorcontrib><creatorcontrib>O’Byrne, Sheila M.</creatorcontrib><creatorcontrib>Blaner, William S.</creatorcontrib><creatorcontrib>Carrero, Juan Jesús</creatorcontrib><creatorcontrib>Bruchfeld, Annette</creatorcontrib><creatorcontrib>Heimbürger, Olof</creatorcontrib><creatorcontrib>Bárány, Peter</creatorcontrib><creatorcontrib>Lindholm, Bengt</creatorcontrib><creatorcontrib>Stenvinkel, Peter</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><jtitle>American journal of nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Axelsson, Jonas</au><au>O’Byrne, Sheila M.</au><au>Blaner, William S.</au><au>Carrero, Juan Jesús</au><au>Bruchfeld, Annette</au><au>Heimbürger, Olof</au><au>Bárány, Peter</au><au>Lindholm, Bengt</au><au>Stenvinkel, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum Retinol-Binding Protein Concentration and Its Association with Components of the Uremic Metabolic Syndrome in Nondiabetic Patients with Chronic Kidney Disease Stage 5</atitle><jtitle>American journal of nephrology</jtitle><addtitle>Am J Nephrol</addtitle><date>2009-01-01</date><risdate>2009</risdate><volume>29</volume><issue>5</issue><spage>447</spage><epage>453</epage><pages>447-453</pages><issn>0250-8095</issn><issn>1421-9670</issn><eissn>1421-9670</eissn><coden>AJNED9</coden><abstract>Introduction: Chronic kidney disease (CKD) is associated with insulin resistance also in the absence of overt diabetes mellitus. The liver-derived transport protein retinol-binding protein (RBP) has recently been proposed as a novel adipokine involved in the metabolism of glucose. Although RBP is elevated in type 2 diabetics with mild CKD, its role in advanced CKD is not well studied. We hypothesized that altered RBP levels in CKD could be one factor contributing to the uremic insulin resistance. Patients and Methods: In a cross-sectional study, we evaluated 141 nondiabetic stage 5 CKD patients (GFR 6.8 ± 2.0 ml/min; 62% males, mean age 52 ± 11 years) close to the start of renal replacement therapy. We studied circulating RBP (RIA), retinol and metabolic markers. Body composition was also assessed using DEXA and patients were divided according to truncal fat mass above (obese) or below (lean) the sex-specific median. A fasting plasma glucose ≥6.1 mM was defined as impaired glucose tolerance (IGT). Results: Serum RBP levels were significantly elevated in CKD as compared to previous reports in non-renal patients. Whereas levels of RBP did not differ between lean and obese patients without IGT, they were lower in lean CKD patients with IGT (5.9 ± 2.9 μM) than in obese CKD patients with IGT (7.0 ± 2.9 μM; p < 0.05). While RBP did not correlate with truncal or total fat mass or biomarkers of inflammation, in univariate analysis, we found weak correlations with HbA1c% (rho = 0.17; p < 0.05), fasting serum triglycerides (rho = 0.20; p < 0.001) and fasting apolipoprotein (Apo) A1 (rho = 0.29; p < 0.001). RBP also correlated negatively with ApoB (rho = –0.29; p < 0.001). In multivariate analysis, RBP was a significant and independent predictor of both HbA1c% and ApoA1 levels. Finally, RBP was strongly correlated with serum retinol, and calculating a retinol/RBP index further strengthened the observed correlations with HOMA-IR and HbA1c%. Conclusions: RBP is elevated in nondiabetic stage 5 CKD and correlates weakly with HbA1c and ApoA1. As RBP is thought to induce insulin resistance and directly affect lipoprotein metabolism in other disease states, these findings may support a role for RBP in contributing to the uremic metabolic syndrome, putatively by altering ApoA1 metabolism, but further studies are needed to test this hypothesis.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>19023195</pmid><doi>10.1159/000176534</doi><tpages>7</tpages></addata></record> |
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subjects | Adult Apolipoprotein A-I - blood Cross-Sectional Studies Female Humans Insulin Resistance Kidney Failure, Chronic - metabolism Male Medicin och hälsovetenskap Middle Aged Multivariate Analysis Obesity - metabolism Original Report: Patient-Oriented, Translational Research Regression Analysis Retinol-Binding Proteins - metabolism Uremia - metabolism Vitamin A - blood |
title | Serum Retinol-Binding Protein Concentration and Its Association with Components of the Uremic Metabolic Syndrome in Nondiabetic Patients with Chronic Kidney Disease Stage 5 |
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