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 |
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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 |
format | Article |
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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.</description><identifier>ISSN: 0149-5992</identifier><identifier>EISSN: 1935-5548</identifier><identifier>DOI: 10.2337/dc18-2599</identifier><identifier>PMID: 31262950</identifier><language>eng</language><publisher>United States: American Diabetes Association</publisher><subject>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</subject><ispartof>Diabetes care, 2019-09, Vol.42 (9), p.1760-1768</ispartof><rights>2019 by the American Diabetes Association.</rights><rights>Copyright American Diabetes Association Sep 1, 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-8b0b743af444cc3a759a6c6775255689b26e45191a0d59c2cf58be36d5919643</citedby><cites>FETCH-LOGICAL-c388t-8b0b743af444cc3a759a6c6775255689b26e45191a0d59c2cf58be36d5919643</cites><orcidid>0000-0003-1642-7482 ; 0000-0001-6546-9502 ; 0000-0002-5331-9168</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31262950$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><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><title>Markers of Collagen Formation and Degradation Reflect Renal Function and Predict Adverse Outcomes in Patients With Type 1 Diabetes</title><title>Diabetes care</title><addtitle>Diabetes Care</addtitle><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.</description><subject>Aged</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Cardiovascular diseases</subject><subject>Collagen</subject><subject>Collagen (type I)</subject><subject>Collagen (type III)</subject><subject>Collagen Type III - blood</subject><subject>Collagen Type VI - blood</subject><subject>Degradation</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Diabetes Mellitus, Type 1 - blood</subject><subject>Diabetes Mellitus, Type 1 - complications</subject><subject>Diabetes Mellitus, Type 1 - mortality</subject><subject>Diabetic Cardiomyopathies - etiology</subject><subject>Diabetic Cardiomyopathies - mortality</subject><subject>Diabetic Nephropathies - etiology</subject><subject>Diabetic Nephropathies - mortality</subject><subject>End-stage renal disease</subject><subject>Enzyme-linked immunosorbent assay</subject><subject>Epidermal growth factor receptors</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Hazards</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Heart failure</subject><subject>Heart Failure - etiology</subject><subject>Heart Failure - mortality</subject><subject>Humans</subject><subject>Kidney - physiopathology</subject><subject>Kidney diseases</subject><subject>Kidney Failure, Chronic - etiology</subject><subject>Kidney Failure, Chronic - mortality</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Procollagen - blood</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Renal function</subject><subject>Research design</subject><subject>Risk</subject><subject>Risk Factors</subject><subject>Statistical models</subject><subject>Urine</subject><issn>0149-5992</issn><issn>1935-5548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUtLw0AUhQdRtD4W_gEZcKOL6DyTmaW0VoWKIgWXYTK50dQkU2cSoVt_uVNaXbi6nHu_e-BwEDql5Ipxnl2XlqqESa130IhqLhMphdpFI0KFTuKaHaDDEBaEECGU2kcHnLKUaUlG6PvR-A_wAbsKj13TmDfo8NT51vS167DpSjyBN2_KjX6BqgHbx9mZBk-Hzv5hzx7KOp5uyq_oB_hp6K1rIeC6w8_xG7o-4Ne6f8fz1RIwxZPaFNBDOEZ7lWkCnGznEZpPb-fj-2T2dPcwvpkllivVJ6ogRSa4qYQQ1nKTSW1Sm2aZZFKmShcsBSGppoaUUltmK6kK4GkUVKeCH6GLje3Su88BQp-3dbAQI3fghpAzJillglIe0fN_6MINPiZeU4oInQlBI3W5oax3IXio8qWvW-NXOSX5upd83Uu-7iWyZ1vHoWih_CN_i-A_SS2G-Q</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Pilemann-Lyberg, Sascha</creator><creator>Rasmussen, Daniel Guldager Kring</creator><creator>Hansen, Tine Willum</creator><creator>Tofte, Nete</creator><creator>Winther, Signe Abitz</creator><creator>Holm Nielsen, Signe</creator><creator>Theilade, Simone</creator><creator>Karsdal, Morten Asser</creator><creator>Genovese, Federica</creator><creator>Rossing, Peter</creator><general>American Diabetes Association</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1642-7482</orcidid><orcidid>https://orcid.org/0000-0001-6546-9502</orcidid><orcidid>https://orcid.org/0000-0002-5331-9168</orcidid></search><sort><creationdate>201909</creationdate><title>Markers of Collagen Formation and Degradation Reflect Renal Function and Predict Adverse Outcomes in Patients With Type 1 Diabetes</title><author>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</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 & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pilemann-Lyberg, Sascha</au><au>Rasmussen, Daniel Guldager Kring</au><au>Hansen, Tine Willum</au><au>Tofte, Nete</au><au>Winther, Signe Abitz</au><au>Holm Nielsen, Signe</au><au>Theilade, Simone</au><au>Karsdal, Morten Asser</au><au>Genovese, Federica</au><au>Rossing, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Markers of Collagen Formation and Degradation Reflect Renal Function and Predict Adverse Outcomes in Patients With Type 1 Diabetes</atitle><jtitle>Diabetes care</jtitle><addtitle>Diabetes Care</addtitle><date>2019-09</date><risdate>2019</risdate><volume>42</volume><issue>9</issue><spage>1760</spage><epage>1768</epage><pages>1760-1768</pages><issn>0149-5992</issn><eissn>1935-5548</eissn><abstract>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.</abstract><cop>United States</cop><pub>American Diabetes Association</pub><pmid>31262950</pmid><doi>10.2337/dc18-2599</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1642-7482</orcidid><orcidid>https://orcid.org/0000-0001-6546-9502</orcidid><orcidid>https://orcid.org/0000-0002-5331-9168</orcidid><oa>free_for_read</oa></addata></record> |
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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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