Plasma dephosphorylated-uncarboxylated Matrix Gla-Protein (dp-ucMGP): reference intervals in Caucasian adults and diabetic kidney disease biomarker potential
Recent studies suggest a possible association between dephosphorylated-uncarboxylated MGP (dp-ucMGP) and glomerular filtration rate (GFR). This study aimed to establish normative data in an adult Caucasian population and to explore the potential utility of dp-ucMGP in patients with diabetes mellitus...
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description | Recent studies suggest a possible association between dephosphorylated-uncarboxylated MGP (dp-ucMGP) and glomerular filtration rate (GFR). This study aimed to establish normative data in an adult Caucasian population and to explore the potential utility of dp-ucMGP in patients with diabetes mellitus (DM) with and without diabetic kidney disease (DKD). Healthy volunteers (HVs) (cross-sectional study) and participants with DM (prospective cohort study) were recruited. Plasma dp-ucMGP was measured using the IDS®-iSYS Ina Ktif (dp-ucMGP) assay. Of the HVs recruited (n = 208), 67(32.2%) were excluded leaving a reference population of 141(67.8%) metabolically healthy participants with normal kidney function. Plasma dp-ucMGP RIs were |
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This study aimed to establish normative data in an adult Caucasian population and to explore the potential utility of dp-ucMGP in patients with diabetes mellitus (DM) with and without diabetic kidney disease (DKD). Healthy volunteers (HVs) (cross-sectional study) and participants with DM (prospective cohort study) were recruited. Plasma dp-ucMGP was measured using the IDS®-iSYS Ina Ktif (dp-ucMGP) assay. Of the HVs recruited (n = 208), 67(32.2%) were excluded leaving a reference population of 141(67.8%) metabolically healthy participants with normal kidney function. Plasma dp-ucMGP RIs were <300–532 pmol/L. There were 100 eligible participants with DKD and 92 with DM without DKD. For the identification of participants with DKD, the area under the receiver operating characteristic curve (AUC) for dp-ucMGP was 0.842 (95%CI:0.799–0.880; p < 0.001). Plasma dp-ucMGP demonstrated similar ability to urine albumin:creatinine ratio (uACR) to detect participants with DM and renal function decline. Among patients with DM, there was a negative correlation between natural log (LN) dp-ucMGP and eGFR (r = −0.7041; p < 0.001) and rate of change in renal function [%change (r = −0.4509; p < 0.001)] and a positive correlation between LN dp-ucMGP and LN uACR (r = 0.3392; p < 0.001). These results suggest the potential for plasma dp-ucMGP with well-defined RIs to identify adults at high risk for vascular disease in the context of progressive DKD.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-019-54762-2</identifier><identifier>PMID: 31804541</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/45 ; 692/163/2743/137/138 ; 692/308/53/2423 ; 692/4022/1585/104 ; 692/53/2423 ; 82/1 ; 82/56 ; Adolescent ; Adult ; Biomarkers - blood ; Calcium-Binding Proteins - blood ; Creatinine ; Cross-Sectional Studies ; Diabetes ; Diabetes mellitus ; Diabetic Nephropathies - blood ; Diabetic Nephropathies - diagnosis ; Diabetic Nephropathies - physiopathology ; Diabetic nephropathy ; Epidermal growth factor receptors ; Extracellular Matrix Proteins - blood ; Female ; Glomerular filtration rate ; Glomerular Filtration Rate - physiology ; Health risk assessment ; Healthy Volunteers ; Humanities and Social Sciences ; Humans ; Kidney diseases ; Kidneys ; Male ; Matrix Gla Protein ; Middle Aged ; multidisciplinary ; Prospective Studies ; Reference Values ; Renal function ; Risk Assessment - methods ; Risk Factors ; ROC Curve ; Science ; Science (multidisciplinary) ; Urine ; Vascular diseases ; White People ; Young Adult</subject><ispartof>Scientific reports, 2019-12, Vol.9 (1), p.18452-13, Article 18452</ispartof><rights>The Author(s) 2019</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-ed31f7711ebdc65b6c17657e37a827d39bf5c972f3912fa26039cafc315b9b9d3</citedby><cites>FETCH-LOGICAL-c474t-ed31f7711ebdc65b6c17657e37a827d39bf5c972f3912fa26039cafc315b9b9d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895103/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895103/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31804541$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Griffin, Tomás Patrick</creatorcontrib><creatorcontrib>Islam, Md Nahidul</creatorcontrib><creatorcontrib>Wall, Deirdre</creatorcontrib><creatorcontrib>Ferguson, John</creatorcontrib><creatorcontrib>Griffin, Damian Gerard</creatorcontrib><creatorcontrib>Griffin, Matthew Dallas</creatorcontrib><creatorcontrib>O’Shea, Paula M.</creatorcontrib><title>Plasma dephosphorylated-uncarboxylated Matrix Gla-Protein (dp-ucMGP): reference intervals in Caucasian adults and diabetic kidney disease biomarker potential</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Recent studies suggest a possible association between dephosphorylated-uncarboxylated MGP (dp-ucMGP) and glomerular filtration rate (GFR). This study aimed to establish normative data in an adult Caucasian population and to explore the potential utility of dp-ucMGP in patients with diabetes mellitus (DM) with and without diabetic kidney disease (DKD). Healthy volunteers (HVs) (cross-sectional study) and participants with DM (prospective cohort study) were recruited. Plasma dp-ucMGP was measured using the IDS®-iSYS Ina Ktif (dp-ucMGP) assay. Of the HVs recruited (n = 208), 67(32.2%) were excluded leaving a reference population of 141(67.8%) metabolically healthy participants with normal kidney function. Plasma dp-ucMGP RIs were <300–532 pmol/L. There were 100 eligible participants with DKD and 92 with DM without DKD. For the identification of participants with DKD, the area under the receiver operating characteristic curve (AUC) for dp-ucMGP was 0.842 (95%CI:0.799–0.880; p < 0.001). Plasma dp-ucMGP demonstrated similar ability to urine albumin:creatinine ratio (uACR) to detect participants with DM and renal function decline. Among patients with DM, there was a negative correlation between natural log (LN) dp-ucMGP and eGFR (r = −0.7041; p < 0.001) and rate of change in renal function [%change (r = −0.4509; p < 0.001)] and a positive correlation between LN dp-ucMGP and LN uACR (r = 0.3392; p < 0.001). These results suggest the potential for plasma dp-ucMGP with well-defined RIs to identify adults at high risk for vascular disease in the context of progressive DKD.</description><subject>631/45</subject><subject>692/163/2743/137/138</subject><subject>692/308/53/2423</subject><subject>692/4022/1585/104</subject><subject>692/53/2423</subject><subject>82/1</subject><subject>82/56</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Biomarkers - blood</subject><subject>Calcium-Binding Proteins - blood</subject><subject>Creatinine</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetic Nephropathies - blood</subject><subject>Diabetic Nephropathies - diagnosis</subject><subject>Diabetic Nephropathies - physiopathology</subject><subject>Diabetic nephropathy</subject><subject>Epidermal growth factor receptors</subject><subject>Extracellular Matrix Proteins - blood</subject><subject>Female</subject><subject>Glomerular filtration rate</subject><subject>Glomerular Filtration Rate - physiology</subject><subject>Health risk assessment</subject><subject>Healthy Volunteers</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Male</subject><subject>Matrix Gla Protein</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Prospective Studies</subject><subject>Reference Values</subject><subject>Renal function</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Urine</subject><subject>Vascular diseases</subject><subject>White People</subject><subject>Young Adult</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><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>eNp9UsFu1DAQjRCIVkt_gAOyxKUcDLEdJzEHJLSiC1Ir9gBna2JPWrdZO9hJ1f0Y_rUuKaVwwJLlGc2bNzOeVxQvWfmWlaJ9lyomVUtLpqismppT_qQ45GUlKRecP31kHxRHKV2W-UiuKqaeFweCtTlascPi53aAtANicbwIKd-4H2BCS2dvIHbhZnHJGUzR3ZDNAHQbw4TOk2M70tmcbbZv3pOIPUb0BonzE8ZrGFK2yBpmA8mBJ2DnYUoEvCXWQYeTM-TKWY_77CeEhKRzYQfxCiMZcwE_ORheFM_6TIVH9--q-H7y6dv6Mz39uvmy_nhKTdVUE0UrWN80jGFnTS272rCmlg2KBlreWKG6XhrV8F4oxnvgdSmUgd4IJjvVKStWxYeFd5y7HVqTq0cY9Bhd7mivAzj9d8S7C30ernXdKpnXkQmO7wli-DFjmvTOJYPDAB7DnPTdHlhVto3M0Nf_QC_DHH0eb0EJwZXKKL6gTAwp5e99aIaV-k4AehGAzgLQvwSQs1fFq8djPKT8XncGiAWQcsifY_xT-z-0txEtv3E</recordid><startdate>20191205</startdate><enddate>20191205</enddate><creator>Griffin, Tomás Patrick</creator><creator>Islam, Md Nahidul</creator><creator>Wall, Deirdre</creator><creator>Ferguson, John</creator><creator>Griffin, Damian Gerard</creator><creator>Griffin, Matthew Dallas</creator><creator>O’Shea, Paula M.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20191205</creationdate><title>Plasma dephosphorylated-uncarboxylated Matrix Gla-Protein (dp-ucMGP): reference intervals in Caucasian adults and diabetic kidney disease biomarker potential</title><author>Griffin, Tomás Patrick ; Islam, Md Nahidul ; Wall, Deirdre ; Ferguson, John ; Griffin, Damian Gerard ; Griffin, Matthew Dallas ; O’Shea, Paula M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-ed31f7711ebdc65b6c17657e37a827d39bf5c972f3912fa26039cafc315b9b9d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>631/45</topic><topic>692/163/2743/137/138</topic><topic>692/308/53/2423</topic><topic>692/4022/1585/104</topic><topic>692/53/2423</topic><topic>82/1</topic><topic>82/56</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Biomarkers - blood</topic><topic>Calcium-Binding Proteins - blood</topic><topic>Creatinine</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetic Nephropathies - blood</topic><topic>Diabetic Nephropathies - diagnosis</topic><topic>Diabetic Nephropathies - physiopathology</topic><topic>Diabetic nephropathy</topic><topic>Epidermal growth factor receptors</topic><topic>Extracellular Matrix Proteins - blood</topic><topic>Female</topic><topic>Glomerular filtration rate</topic><topic>Glomerular Filtration Rate - physiology</topic><topic>Health risk assessment</topic><topic>Healthy Volunteers</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Kidney diseases</topic><topic>Kidneys</topic><topic>Male</topic><topic>Matrix Gla Protein</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Prospective Studies</topic><topic>Reference Values</topic><topic>Renal function</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Urine</topic><topic>Vascular diseases</topic><topic>White People</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Griffin, Tomás Patrick</creatorcontrib><creatorcontrib>Islam, Md Nahidul</creatorcontrib><creatorcontrib>Wall, Deirdre</creatorcontrib><creatorcontrib>Ferguson, John</creatorcontrib><creatorcontrib>Griffin, Damian Gerard</creatorcontrib><creatorcontrib>Griffin, Matthew Dallas</creatorcontrib><creatorcontrib>O’Shea, Paula M.</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Griffin, Tomás Patrick</au><au>Islam, Md Nahidul</au><au>Wall, Deirdre</au><au>Ferguson, John</au><au>Griffin, Damian Gerard</au><au>Griffin, Matthew Dallas</au><au>O’Shea, Paula M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasma dephosphorylated-uncarboxylated Matrix Gla-Protein (dp-ucMGP): reference intervals in Caucasian adults and diabetic kidney disease biomarker potential</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2019-12-05</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>18452</spage><epage>13</epage><pages>18452-13</pages><artnum>18452</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Recent studies suggest a possible association between dephosphorylated-uncarboxylated MGP (dp-ucMGP) and glomerular filtration rate (GFR). This study aimed to establish normative data in an adult Caucasian population and to explore the potential utility of dp-ucMGP in patients with diabetes mellitus (DM) with and without diabetic kidney disease (DKD). Healthy volunteers (HVs) (cross-sectional study) and participants with DM (prospective cohort study) were recruited. Plasma dp-ucMGP was measured using the IDS®-iSYS Ina Ktif (dp-ucMGP) assay. Of the HVs recruited (n = 208), 67(32.2%) were excluded leaving a reference population of 141(67.8%) metabolically healthy participants with normal kidney function. Plasma dp-ucMGP RIs were <300–532 pmol/L. There were 100 eligible participants with DKD and 92 with DM without DKD. For the identification of participants with DKD, the area under the receiver operating characteristic curve (AUC) for dp-ucMGP was 0.842 (95%CI:0.799–0.880; p < 0.001). Plasma dp-ucMGP demonstrated similar ability to urine albumin:creatinine ratio (uACR) to detect participants with DM and renal function decline. Among patients with DM, there was a negative correlation between natural log (LN) dp-ucMGP and eGFR (r = −0.7041; p < 0.001) and rate of change in renal function [%change (r = −0.4509; p < 0.001)] and a positive correlation between LN dp-ucMGP and LN uACR (r = 0.3392; p < 0.001). These results suggest the potential for plasma dp-ucMGP with well-defined RIs to identify adults at high risk for vascular disease in the context of progressive DKD.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31804541</pmid><doi>10.1038/s41598-019-54762-2</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 631/45 692/163/2743/137/138 692/308/53/2423 692/4022/1585/104 692/53/2423 82/1 82/56 Adolescent Adult Biomarkers - blood Calcium-Binding Proteins - blood Creatinine Cross-Sectional Studies Diabetes Diabetes mellitus Diabetic Nephropathies - blood Diabetic Nephropathies - diagnosis Diabetic Nephropathies - physiopathology Diabetic nephropathy Epidermal growth factor receptors Extracellular Matrix Proteins - blood Female Glomerular filtration rate Glomerular Filtration Rate - physiology Health risk assessment Healthy Volunteers Humanities and Social Sciences Humans Kidney diseases Kidneys Male Matrix Gla Protein Middle Aged multidisciplinary Prospective Studies Reference Values Renal function Risk Assessment - methods Risk Factors ROC Curve Science Science (multidisciplinary) Urine Vascular diseases White People Young Adult |
title | Plasma dephosphorylated-uncarboxylated Matrix Gla-Protein (dp-ucMGP): reference intervals in Caucasian adults and diabetic kidney disease biomarker potential |
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