Serum amyloid A and C-reactive protein levels may predict microalbuminuria and macroalbuminuria in newly diagnosed type 1 diabetic patients

Abstract Background In this study we evaluated the association of baseline levels of six different candidate proteins for the development of microalbuminuria and macroalbuminuria in type 1 diabetic patients, who were followed for approximately 30 years. Two of the proteins are markers of inflammatio...

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Veröffentlicht in:Journal of diabetes and its complications 2013, Vol.27 (1), p.59-63
Hauptverfasser: Overgaard, Anne Julie, McGuire, James N, Hovind, Peter, Parving, Hans-Henrik, Rossing, Peter, Pociot, Flemming
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container_end_page 63
container_issue 1
container_start_page 59
container_title Journal of diabetes and its complications
container_volume 27
creator Overgaard, Anne Julie
McGuire, James N
Hovind, Peter
Parving, Hans-Henrik
Rossing, Peter
Pociot, Flemming
description Abstract Background In this study we evaluated the association of baseline levels of six different candidate proteins for the development of microalbuminuria and macroalbuminuria in type 1 diabetic patients, who were followed for approximately 30 years. Two of the proteins are markers of inflammation: serum amyloid A (SAA) and C-reactive protein (CRP), three are involved in lipid metabolism: apolipoprotein A1, apolipoprotein E and adiponectin and the last protein, fibronectin, is related to structural changes. Methods A nested case control study population of 60 patients from an inception cohort of type 1 diabetic patients where 20 developed microalbuminuria followed by macroalbuminuria and 40 stayed normoalbuminuric during approximately 30 years of follow-up time was used to evaluate baseline levels of the six candidate biomarkers. The proteins were quantified by multiplexed immunoassays. Results Log SAA levels were borderline predictor of microalbuminuria, HR 2.31 (1–5.4) p = 0.053 in a univariate Cox regression model and predicted the development of macroalbuminuria HR 2.432 (1–6) p = 0.049, also univariate. When adjusting for covariates, log SAA predicted the development of microalbuminuria with an HR 4.131 (1.1–15) p = 0.03. Log CRP predicted the development of microalbuminuria, HR 2.928 (1.4–6.1) p = 0.004, and macroalbuminuria, HR 2.785 (1.3–5.8) p = 0.007 in univariate models. When adjusting for covariates, log CRP predicted the development of microalbuminuria with an HR 5.882 (1.7–20.9) p = 0.006 and macroalbuminuria with an HR 3.233 (1.1–9.8) p = 0.038. Apolipoprotein A1, apolipoprotein E, fibronectin and adiponectin were not associated with development of elevated albumin excretion rate. Conclusions SAA and CRP baseline levels predicted development of micro- and macroalbuminuria during 30 years of follow up, supporting the theory that inflammation is involved in the progression of diabetic nephropathy. Further studies are needed to fully establish the two proteins’ potential as additional biomarkers for the development of diabetic nephropathy.
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Two of the proteins are markers of inflammation: serum amyloid A (SAA) and C-reactive protein (CRP), three are involved in lipid metabolism: apolipoprotein A1, apolipoprotein E and adiponectin and the last protein, fibronectin, is related to structural changes. Methods A nested case control study population of 60 patients from an inception cohort of type 1 diabetic patients where 20 developed microalbuminuria followed by macroalbuminuria and 40 stayed normoalbuminuric during approximately 30 years of follow-up time was used to evaluate baseline levels of the six candidate biomarkers. The proteins were quantified by multiplexed immunoassays. Results Log SAA levels were borderline predictor of microalbuminuria, HR 2.31 (1–5.4) p = 0.053 in a univariate Cox regression model and predicted the development of macroalbuminuria HR 2.432 (1–6) p = 0.049, also univariate. When adjusting for covariates, log SAA predicted the development of microalbuminuria with an HR 4.131 (1.1–15) p = 0.03. Log CRP predicted the development of microalbuminuria, HR 2.928 (1.4–6.1) p = 0.004, and macroalbuminuria, HR 2.785 (1.3–5.8) p = 0.007 in univariate models. When adjusting for covariates, log CRP predicted the development of microalbuminuria with an HR 5.882 (1.7–20.9) p = 0.006 and macroalbuminuria with an HR 3.233 (1.1–9.8) p = 0.038. Apolipoprotein A1, apolipoprotein E, fibronectin and adiponectin were not associated with development of elevated albumin excretion rate. Conclusions SAA and CRP baseline levels predicted development of micro- and macroalbuminuria during 30 years of follow up, supporting the theory that inflammation is involved in the progression of diabetic nephropathy. Further studies are needed to fully establish the two proteins’ potential as additional biomarkers for the development of diabetic nephropathy.</description><identifier>ISSN: 1056-8727</identifier><identifier>EISSN: 1873-460X</identifier><identifier>DOI: 10.1016/j.jdiacomp.2012.06.016</identifier><identifier>PMID: 22885250</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Age of Onset ; Albuminuria - blood ; Albuminuria - diagnosis ; Albuminuria - etiology ; Biomarkers ; C-Reactive Protein - analysis ; Case-Control Studies ; Child ; Diabetes ; Diabetes Mellitus, Type 1 - blood ; Diabetes Mellitus, Type 1 - complications ; Diabetic Nephropathies - blood ; Diabetic Nephropathies - diagnosis ; Diabetic Nephropathies - etiology ; Diabetic nephropathy ; Endocrinology &amp; Metabolism ; Female ; Follow-Up Studies ; Humans ; Inflammation ; Kidneys ; Luminex technology ; Male ; Prognosis ; Proteins ; Serum Amyloid A Protein - analysis ; Studies ; Young Adult</subject><ispartof>Journal of diabetes and its complications, 2013, Vol.27 (1), p.59-63</ispartof><rights>Elsevier Inc.</rights><rights>2013 Elsevier Inc.</rights><rights>Copyright © 2013 Elsevier Inc. 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Two of the proteins are markers of inflammation: serum amyloid A (SAA) and C-reactive protein (CRP), three are involved in lipid metabolism: apolipoprotein A1, apolipoprotein E and adiponectin and the last protein, fibronectin, is related to structural changes. Methods A nested case control study population of 60 patients from an inception cohort of type 1 diabetic patients where 20 developed microalbuminuria followed by macroalbuminuria and 40 stayed normoalbuminuric during approximately 30 years of follow-up time was used to evaluate baseline levels of the six candidate biomarkers. The proteins were quantified by multiplexed immunoassays. Results Log SAA levels were borderline predictor of microalbuminuria, HR 2.31 (1–5.4) p = 0.053 in a univariate Cox regression model and predicted the development of macroalbuminuria HR 2.432 (1–6) p = 0.049, also univariate. When adjusting for covariates, log SAA predicted the development of microalbuminuria with an HR 4.131 (1.1–15) p = 0.03. Log CRP predicted the development of microalbuminuria, HR 2.928 (1.4–6.1) p = 0.004, and macroalbuminuria, HR 2.785 (1.3–5.8) p = 0.007 in univariate models. When adjusting for covariates, log CRP predicted the development of microalbuminuria with an HR 5.882 (1.7–20.9) p = 0.006 and macroalbuminuria with an HR 3.233 (1.1–9.8) p = 0.038. Apolipoprotein A1, apolipoprotein E, fibronectin and adiponectin were not associated with development of elevated albumin excretion rate. Conclusions SAA and CRP baseline levels predicted development of micro- and macroalbuminuria during 30 years of follow up, supporting the theory that inflammation is involved in the progression of diabetic nephropathy. 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Two of the proteins are markers of inflammation: serum amyloid A (SAA) and C-reactive protein (CRP), three are involved in lipid metabolism: apolipoprotein A1, apolipoprotein E and adiponectin and the last protein, fibronectin, is related to structural changes. Methods A nested case control study population of 60 patients from an inception cohort of type 1 diabetic patients where 20 developed microalbuminuria followed by macroalbuminuria and 40 stayed normoalbuminuric during approximately 30 years of follow-up time was used to evaluate baseline levels of the six candidate biomarkers. The proteins were quantified by multiplexed immunoassays. Results Log SAA levels were borderline predictor of microalbuminuria, HR 2.31 (1–5.4) p = 0.053 in a univariate Cox regression model and predicted the development of macroalbuminuria HR 2.432 (1–6) p = 0.049, also univariate. When adjusting for covariates, log SAA predicted the development of microalbuminuria with an HR 4.131 (1.1–15) p = 0.03. Log CRP predicted the development of microalbuminuria, HR 2.928 (1.4–6.1) p = 0.004, and macroalbuminuria, HR 2.785 (1.3–5.8) p = 0.007 in univariate models. When adjusting for covariates, log CRP predicted the development of microalbuminuria with an HR 5.882 (1.7–20.9) p = 0.006 and macroalbuminuria with an HR 3.233 (1.1–9.8) p = 0.038. Apolipoprotein A1, apolipoprotein E, fibronectin and adiponectin were not associated with development of elevated albumin excretion rate. Conclusions SAA and CRP baseline levels predicted development of micro- and macroalbuminuria during 30 years of follow up, supporting the theory that inflammation is involved in the progression of diabetic nephropathy. Further studies are needed to fully establish the two proteins’ potential as additional biomarkers for the development of diabetic nephropathy.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>22885250</pmid><doi>10.1016/j.jdiacomp.2012.06.016</doi><tpages>5</tpages></addata></record>
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subjects Adolescent
Adult
Age of Onset
Albuminuria - blood
Albuminuria - diagnosis
Albuminuria - etiology
Biomarkers
C-Reactive Protein - analysis
Case-Control Studies
Child
Diabetes
Diabetes Mellitus, Type 1 - blood
Diabetes Mellitus, Type 1 - complications
Diabetic Nephropathies - blood
Diabetic Nephropathies - diagnosis
Diabetic Nephropathies - etiology
Diabetic nephropathy
Endocrinology & Metabolism
Female
Follow-Up Studies
Humans
Inflammation
Kidneys
Luminex technology
Male
Prognosis
Proteins
Serum Amyloid A Protein - analysis
Studies
Young Adult
title Serum amyloid A and C-reactive protein levels may predict microalbuminuria and macroalbuminuria in newly diagnosed type 1 diabetic patients
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