Markers of Collagen Formation and Degradation Reflect Renal Function and Predict Adverse Outcomes in Patients With Type 1 Diabetes

Patients with type 1 diabetes (T1D) have a higher risk of developing chronic kidney disease, cardiovascular events (CVEs), and mortality than the general population. We hypothesized that two previously published biomarkers, namely PRO-C6, a biomarker of collagen type VI formation, and C3M, a biomark...

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Veröffentlicht in:Diabetes care 2019-09, Vol.42 (9), p.1760-1768
Hauptverfasser: Pilemann-Lyberg, Sascha, Rasmussen, Daniel Guldager Kring, Hansen, Tine Willum, Tofte, Nete, Winther, Signe Abitz, Holm Nielsen, Signe, Theilade, Simone, Karsdal, Morten Asser, Genovese, Federica, Rossing, Peter
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container_end_page 1768
container_issue 9
container_start_page 1760
container_title Diabetes care
container_volume 42
creator Pilemann-Lyberg, Sascha
Rasmussen, Daniel Guldager Kring
Hansen, Tine Willum
Tofte, Nete
Winther, Signe Abitz
Holm Nielsen, Signe
Theilade, Simone
Karsdal, Morten Asser
Genovese, Federica
Rossing, Peter
description Patients with type 1 diabetes (T1D) have a higher risk of developing chronic kidney disease, cardiovascular events (CVEs), and mortality than the general population. We hypothesized that two previously published biomarkers, namely PRO-C6, a biomarker of collagen type VI formation, and C3M, a biomarker of collagen type III degradation, may be associated with impaired renal function and have prognostic value for adverse renal, CVE, and mortality in patients with T1D. PRO-C6 and C3M in serum (sPRO-C6, sC3M) and urine (uPRO-C6, uC3M) were measured by ELISA in 663 patients with T1D ranging from normoalbuminuric to macroalbuminuric. Association of the biomarkers with mortality, CVEs, heart failure, decline in estimated glomerular filtration rate (eGFR) ≥30%, and end-stage renal disease (ESRD) were tested in Cox proportional hazards models after log transformation and adjusted for relevant clinical characteristics. Hazard ratios (HRs) were reported per doubling of biomarker levels. High levels of sPRO-C6 were independently associated with a higher risk of all-cause mortality (HR 2.26 [95% CI 1.31-3.87], < 0.0031). There was an association with higher risk of CVEs ( = 94) and heart failure ( = 28) but not after adjustment ( ≥ 0.58). In relation to renal outcomes, adjusted sPRO-C6 was associated with a higher risk of eGFR decline ≥30% in T1D, with eGFR >45 and >30 mL/min/1.73 m , and with a higher risk of ESRD (all ≤ 0.03). Higher uPRO-C6 was associated with a lower risk of decline in eGFR. In patients with T1D, higher sPRO-C6 was an independent predictor of both decline in eGFR and development of ESRD and of all-cause mortality. Higher uPRO-C6 was also associated with a lower risk of decline in eGFR.
doi_str_mv 10.2337/dc18-2599
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We hypothesized that two previously published biomarkers, namely PRO-C6, a biomarker of collagen type VI formation, and C3M, a biomarker of collagen type III degradation, may be associated with impaired renal function and have prognostic value for adverse renal, CVE, and mortality in patients with T1D. PRO-C6 and C3M in serum (sPRO-C6, sC3M) and urine (uPRO-C6, uC3M) were measured by ELISA in 663 patients with T1D ranging from normoalbuminuric to macroalbuminuric. Association of the biomarkers with mortality, CVEs, heart failure, decline in estimated glomerular filtration rate (eGFR) ≥30%, and end-stage renal disease (ESRD) were tested in Cox proportional hazards models after log transformation and adjusted for relevant clinical characteristics. Hazard ratios (HRs) were reported per doubling of biomarker levels. High levels of sPRO-C6 were independently associated with a higher risk of all-cause mortality (HR 2.26 [95% CI 1.31-3.87], &lt; 0.0031). There was an association with higher risk of CVEs ( = 94) and heart failure ( = 28) but not after adjustment ( ≥ 0.58). In relation to renal outcomes, adjusted sPRO-C6 was associated with a higher risk of eGFR decline ≥30% in T1D, with eGFR &gt;45 and &gt;30 mL/min/1.73 m , and with a higher risk of ESRD (all ≤ 0.03). Higher uPRO-C6 was associated with a lower risk of decline in eGFR. In patients with T1D, higher sPRO-C6 was an independent predictor of both decline in eGFR and development of ESRD and of all-cause mortality. 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We hypothesized that two previously published biomarkers, namely PRO-C6, a biomarker of collagen type VI formation, and C3M, a biomarker of collagen type III degradation, may be associated with impaired renal function and have prognostic value for adverse renal, CVE, and mortality in patients with T1D. PRO-C6 and C3M in serum (sPRO-C6, sC3M) and urine (uPRO-C6, uC3M) were measured by ELISA in 663 patients with T1D ranging from normoalbuminuric to macroalbuminuric. Association of the biomarkers with mortality, CVEs, heart failure, decline in estimated glomerular filtration rate (eGFR) ≥30%, and end-stage renal disease (ESRD) were tested in Cox proportional hazards models after log transformation and adjusted for relevant clinical characteristics. Hazard ratios (HRs) were reported per doubling of biomarker levels. High levels of sPRO-C6 were independently associated with a higher risk of all-cause mortality (HR 2.26 [95% CI 1.31-3.87], &lt; 0.0031). There was an association with higher risk of CVEs ( = 94) and heart failure ( = 28) but not after adjustment ( ≥ 0.58). In relation to renal outcomes, adjusted sPRO-C6 was associated with a higher risk of eGFR decline ≥30% in T1D, with eGFR &gt;45 and &gt;30 mL/min/1.73 m , and with a higher risk of ESRD (all ≤ 0.03). Higher uPRO-C6 was associated with a lower risk of decline in eGFR. In patients with T1D, higher sPRO-C6 was an independent predictor of both decline in eGFR and development of ESRD and of all-cause mortality. 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Rasmussen, Daniel Guldager Kring ; Hansen, Tine Willum ; Tofte, Nete ; Winther, Signe Abitz ; Holm Nielsen, Signe ; Theilade, Simone ; Karsdal, Morten Asser ; Genovese, Federica ; Rossing, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-8b0b743af444cc3a759a6c6775255689b26e45191a0d59c2cf58be36d5919643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Cardiovascular diseases</topic><topic>Collagen</topic><topic>Collagen (type I)</topic><topic>Collagen (type III)</topic><topic>Collagen Type III - blood</topic><topic>Collagen Type VI - blood</topic><topic>Degradation</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Diabetes Mellitus, Type 1 - blood</topic><topic>Diabetes Mellitus, Type 1 - complications</topic><topic>Diabetes Mellitus, Type 1 - mortality</topic><topic>Diabetic Cardiomyopathies - etiology</topic><topic>Diabetic Cardiomyopathies - mortality</topic><topic>Diabetic Nephropathies - etiology</topic><topic>Diabetic Nephropathies - mortality</topic><topic>End-stage renal disease</topic><topic>Enzyme-linked immunosorbent assay</topic><topic>Epidermal growth factor receptors</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Hazards</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Heart</topic><topic>Heart diseases</topic><topic>Heart failure</topic><topic>Heart Failure - etiology</topic><topic>Heart Failure - mortality</topic><topic>Humans</topic><topic>Kidney - physiopathology</topic><topic>Kidney diseases</topic><topic>Kidney Failure, Chronic - etiology</topic><topic>Kidney Failure, Chronic - mortality</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Procollagen - blood</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Renal function</topic><topic>Research design</topic><topic>Risk</topic><topic>Risk Factors</topic><topic>Statistical models</topic><topic>Urine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pilemann-Lyberg, Sascha</creatorcontrib><creatorcontrib>Rasmussen, Daniel Guldager Kring</creatorcontrib><creatorcontrib>Hansen, Tine Willum</creatorcontrib><creatorcontrib>Tofte, Nete</creatorcontrib><creatorcontrib>Winther, Signe Abitz</creatorcontrib><creatorcontrib>Holm Nielsen, Signe</creatorcontrib><creatorcontrib>Theilade, Simone</creatorcontrib><creatorcontrib>Karsdal, Morten Asser</creatorcontrib><creatorcontrib>Genovese, Federica</creatorcontrib><creatorcontrib>Rossing, 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 Health &amp; 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We hypothesized that two previously published biomarkers, namely PRO-C6, a biomarker of collagen type VI formation, and C3M, a biomarker of collagen type III degradation, may be associated with impaired renal function and have prognostic value for adverse renal, CVE, and mortality in patients with T1D. PRO-C6 and C3M in serum (sPRO-C6, sC3M) and urine (uPRO-C6, uC3M) were measured by ELISA in 663 patients with T1D ranging from normoalbuminuric to macroalbuminuric. Association of the biomarkers with mortality, CVEs, heart failure, decline in estimated glomerular filtration rate (eGFR) ≥30%, and end-stage renal disease (ESRD) were tested in Cox proportional hazards models after log transformation and adjusted for relevant clinical characteristics. Hazard ratios (HRs) were reported per doubling of biomarker levels. High levels of sPRO-C6 were independently associated with a higher risk of all-cause mortality (HR 2.26 [95% CI 1.31-3.87], &lt; 0.0031). 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source MEDLINE; EZB-FREE-00999 freely available EZB journals
subjects Aged
Biomarkers
Biomarkers - blood
Cardiovascular diseases
Collagen
Collagen (type I)
Collagen (type III)
Collagen Type III - blood
Collagen Type VI - blood
Degradation
Diabetes
Diabetes mellitus
Diabetes mellitus (insulin dependent)
Diabetes Mellitus, Type 1 - blood
Diabetes Mellitus, Type 1 - complications
Diabetes Mellitus, Type 1 - mortality
Diabetic Cardiomyopathies - etiology
Diabetic Cardiomyopathies - mortality
Diabetic Nephropathies - etiology
Diabetic Nephropathies - mortality
End-stage renal disease
Enzyme-linked immunosorbent assay
Epidermal growth factor receptors
Female
Glomerular Filtration Rate
Hazards
Health risk assessment
Health risks
Heart
Heart diseases
Heart failure
Heart Failure - etiology
Heart Failure - mortality
Humans
Kidney - physiopathology
Kidney diseases
Kidney Failure, Chronic - etiology
Kidney Failure, Chronic - mortality
Male
Medical prognosis
Middle Aged
Mortality
Procollagen - blood
Prognosis
Proportional Hazards Models
Renal function
Research design
Risk
Risk Factors
Statistical models
Urine
title Markers of Collagen Formation and Degradation Reflect Renal Function and Predict Adverse Outcomes in Patients With Type 1 Diabetes
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