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High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects
Metabolic syndrome (MetS) has an important epidemiological relevance due to its increasing prevalence and association with type 2 diabetes and cardiovascular disease. Insulin resistance is a core feature of the MetS. HOMA-IR is a robust clinical and epidemiological marker of MetS. Adiponectin is an...
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Published in: | PloS one 2017-07, Vol.12 (7), p.e0180947-e0180947 |
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description | Metabolic syndrome (MetS) has an important epidemiological relevance due to its increasing prevalence and association with type 2 diabetes and cardiovascular disease. Insulin resistance is a core feature of the MetS. HOMA-IR is a robust clinical and epidemiological marker of MetS. Adiponectin is an adipokine with insulin-sensitizing and anti-inflammatory functions; its levels decrease as number of components of MetS increases. High-molecular weight adiponectin (HMWA) is the multimer responsible for the relationship of adiponectin with insulin sensitivity. HOMA-IR and HMWA are suitable candidates for MetS biomarkers. The ratio of adiponectin to HOMA-IR has been validated as a powerful index of MetS and considered a better marker of its presence, than either HOMA-IR or adiponectin alone, in selected homogeneous populations. We compared the strength of association between HMWA, HOMA-IR and HMWA/HOMA-IR ratio with MetS and its key components. Our data have shown that the median (25th, 75th percentile) of HMWA/HOMA-IR ratio was lower in subjects with MetS [0.51 (0.33, 1.31)] as compared to those without it [2.19 (1.13, 4.71)]. The correlation coefficient (r) was significantly higher for HMWA/HOMA-IR ratio as compared to HMWA for waist circumference (-0.65; -0.40, respectively); mean blood pressure (-0.27; -0.14, respectively); fasting glucose (-0.38; -0.19, respectively); HDL-cholesterol (0.44; 0.40, respectively); and triglycerides (-0.35; -0.18, respectively). In a multivariable logistic regression analysis, the HMWA/HOMA-IR ratio was a sensitive predictor for MetS, being the only marker that was significantly associated with each and all the individual components of the syndrome. These results expand on previous studies in that we used the active circulating form of adiponectin, i.e. HMWA, and represent a typical Brazilian cohort characterized by intense interethnic admixture. Thus, the HMWA/HOMA-IR ratio is a minimally invasive biomarker for MetS that could be clinically useful in prognosing patient outcome. |
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Insulin resistance is a core feature of the MetS. HOMA-IR is a robust clinical and epidemiological marker of MetS. Adiponectin is an adipokine with insulin-sensitizing and anti-inflammatory functions; its levels decrease as number of components of MetS increases. High-molecular weight adiponectin (HMWA) is the multimer responsible for the relationship of adiponectin with insulin sensitivity. HOMA-IR and HMWA are suitable candidates for MetS biomarkers. The ratio of adiponectin to HOMA-IR has been validated as a powerful index of MetS and considered a better marker of its presence, than either HOMA-IR or adiponectin alone, in selected homogeneous populations. We compared the strength of association between HMWA, HOMA-IR and HMWA/HOMA-IR ratio with MetS and its key components. Our data have shown that the median (25th, 75th percentile) of HMWA/HOMA-IR ratio was lower in subjects with MetS [0.51 (0.33, 1.31)] as compared to those without it [2.19 (1.13, 4.71)]. The correlation coefficient (r) was significantly higher for HMWA/HOMA-IR ratio as compared to HMWA for waist circumference (-0.65; -0.40, respectively); mean blood pressure (-0.27; -0.14, respectively); fasting glucose (-0.38; -0.19, respectively); HDL-cholesterol (0.44; 0.40, respectively); and triglycerides (-0.35; -0.18, respectively). In a multivariable logistic regression analysis, the HMWA/HOMA-IR ratio was a sensitive predictor for MetS, being the only marker that was significantly associated with each and all the individual components of the syndrome. These results expand on previous studies in that we used the active circulating form of adiponectin, i.e. HMWA, and represent a typical Brazilian cohort characterized by intense interethnic admixture. Thus, the HMWA/HOMA-IR ratio is a minimally invasive biomarker for MetS that could be clinically useful in prognosing patient outcome.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0180947</identifier><identifier>PMID: 28746378</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acute coronary syndromes ; Adiponectin ; Adiponectin - blood ; Adiponectin - chemistry ; Adult ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Biomarkers - blood ; Blood Glucose - metabolism ; Blood pressure ; Body Mass Index ; Brazil ; Cardiovascular diseases ; Cholesterol ; Cholesterol, HDL - blood ; Correlation coefficient ; Correlation coefficients ; Diabetes ; Diabetes mellitus ; Disease resistance ; Drugs ; Epidemiology ; Fasting ; Fasting - blood ; Female ; Genealogy ; Genetic aspects ; Glucose ; High density lipoprotein ; Homeostasis ; Humans ; Hypertension ; Inflammation ; Infrared radiation ; Insulin ; Insulin - blood ; Insulin Resistance ; Kinases ; Laboratory testing ; Logistic Models ; Male ; Medicine and Health Sciences ; Metabolic syndrome ; Metabolic Syndrome - blood ; Metabolic Syndrome - complications ; Metabolic Syndrome - ethnology ; Metabolic syndrome X ; Middle Aged ; Molecular Weight ; Multivariate Analysis ; Normal distribution ; Obesity ; Obesity - blood ; Obesity - complications ; Patient outcomes ; Physical Sciences ; Population ; Populations ; Prognosis ; Regression analysis ; Sensitizing ; Triglycerides ; Triglycerides - blood ; Urban Health - statistics & numerical data ; Waist Circumference ; Womens health ; Young Adult</subject><ispartof>PloS one, 2017-07, Vol.12 (7), p.e0180947-e0180947</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 de Abreu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 de Abreu et al 2017 de Abreu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-6cd909acd0d34646359828b645405f965984e2ec327345391ae3373303e35cd63</citedby><cites>FETCH-LOGICAL-c758t-6cd909acd0d34646359828b645405f965984e2ec327345391ae3373303e35cd63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1923718423/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1923718423?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28746378$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Hribal, Marta Letizia</contributor><creatorcontrib>de Abreu, Virgínia Genelhu</creatorcontrib><creatorcontrib>Martins, Cyro José de Moraes</creatorcontrib><creatorcontrib>de Oliveira, Patricia Aguiar Cardoso</creatorcontrib><creatorcontrib>Francischetti, Emilio Antonio</creatorcontrib><title>High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Metabolic syndrome (MetS) has an important epidemiological relevance due to its increasing prevalence and association with type 2 diabetes and cardiovascular disease. Insulin resistance is a core feature of the MetS. HOMA-IR is a robust clinical and epidemiological marker of MetS. Adiponectin is an adipokine with insulin-sensitizing and anti-inflammatory functions; its levels decrease as number of components of MetS increases. High-molecular weight adiponectin (HMWA) is the multimer responsible for the relationship of adiponectin with insulin sensitivity. HOMA-IR and HMWA are suitable candidates for MetS biomarkers. The ratio of adiponectin to HOMA-IR has been validated as a powerful index of MetS and considered a better marker of its presence, than either HOMA-IR or adiponectin alone, in selected homogeneous populations. We compared the strength of association between HMWA, HOMA-IR and HMWA/HOMA-IR ratio with MetS and its key components. Our data have shown that the median (25th, 75th percentile) of HMWA/HOMA-IR ratio was lower in subjects with MetS [0.51 (0.33, 1.31)] as compared to those without it [2.19 (1.13, 4.71)]. The correlation coefficient (r) was significantly higher for HMWA/HOMA-IR ratio as compared to HMWA for waist circumference (-0.65; -0.40, respectively); mean blood pressure (-0.27; -0.14, respectively); fasting glucose (-0.38; -0.19, respectively); HDL-cholesterol (0.44; 0.40, respectively); and triglycerides (-0.35; -0.18, respectively). In a multivariable logistic regression analysis, the HMWA/HOMA-IR ratio was a sensitive predictor for MetS, being the only marker that was significantly associated with each and all the individual components of the syndrome. These results expand on previous studies in that we used the active circulating form of adiponectin, i.e. HMWA, and represent a typical Brazilian cohort characterized by intense interethnic admixture. Thus, the HMWA/HOMA-IR ratio is a minimally invasive biomarker for MetS that could be clinically useful in prognosing patient outcome.</description><subject>Acute coronary syndromes</subject><subject>Adiponectin</subject><subject>Adiponectin - blood</subject><subject>Adiponectin - chemistry</subject><subject>Adult</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood Glucose - metabolism</subject><subject>Blood pressure</subject><subject>Body Mass Index</subject><subject>Brazil</subject><subject>Cardiovascular diseases</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Disease resistance</subject><subject>Drugs</subject><subject>Epidemiology</subject><subject>Fasting</subject><subject>Fasting - blood</subject><subject>Female</subject><subject>Genealogy</subject><subject>Genetic aspects</subject><subject>Glucose</subject><subject>High density lipoprotein</subject><subject>Homeostasis</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Inflammation</subject><subject>Infrared radiation</subject><subject>Insulin</subject><subject>Insulin - blood</subject><subject>Insulin Resistance</subject><subject>Kinases</subject><subject>Laboratory testing</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - blood</subject><subject>Metabolic Syndrome - complications</subject><subject>Metabolic Syndrome - ethnology</subject><subject>Metabolic syndrome X</subject><subject>Middle Aged</subject><subject>Molecular Weight</subject><subject>Multivariate Analysis</subject><subject>Normal distribution</subject><subject>Obesity</subject><subject>Obesity - blood</subject><subject>Obesity - complications</subject><subject>Patient outcomes</subject><subject>Physical Sciences</subject><subject>Population</subject><subject>Populations</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Sensitizing</subject><subject>Triglycerides</subject><subject>Triglycerides - blood</subject><subject>Urban Health - statistics & numerical data</subject><subject>Waist Circumference</subject><subject>Womens health</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99v0zAQxyMEYqPwHyCwhITgIZ0dO4n9glQmoJWGKo0fr5bjOK2LYxfbAYb443HXbmrQHpAfYp8_9_Xd5S7LniI4RbhGZxs3eCvMdOusmkJEISP1vewUMVzkVQHx_aP9SfYohA2EJaZV9TA7KWhNKlzT0-zPXK_Wee-MkoMRHvxU6RyBaPVOV0Ztz-bLj7N8cQm8iNoBEYAAjXa98N-UB64DvYqicUZLEK5s612vgLZg8I2woB9M1Cqubbp968VvbXSyhqHZJO3wOHvQCRPUk8N3kn15_-7z-Ty_WH5YnM8uclmXNOaVbBlkQrawxaRKgZeMFrSpSElg2bEqHYkqlMRFjUmJGRIK4xpjiBUuZVvhSfZ8r7s1LvBD4QJHrEiFpKTAiVjsidaJDd96ndK74k5ofm1wfsWFj1oaxRFRdUskayWrCUNIlE0KDjcdrbuSSJm03hxeG5petVLZ6IUZiY5vrF7zlfvBy7KgNOUwyV4dBLz7PqgQea-DVMYIq9xwHTepICL1LrMX_6B3Z3egViIloG3n0rtyJ8pnhKUmwbCgiZreQaXVql7L1A2dTvaRw-uRQ2Ki-hVXYgiBLz5d_j-7_DpmXx6xayVMXAdnhtR-NoxBsgeldyF41d0WGUG-G5KbavBdM_PDkCS3Z8c_6NbpZirwX_hpDBw</recordid><startdate>20170726</startdate><enddate>20170726</enddate><creator>de Abreu, Virgínia Genelhu</creator><creator>Martins, Cyro José de Moraes</creator><creator>de Oliveira, Patricia Aguiar Cardoso</creator><creator>Francischetti, Emilio Antonio</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20170726</creationdate><title>High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects</title><author>de Abreu, Virgínia Genelhu ; Martins, Cyro José de Moraes ; de Oliveira, Patricia Aguiar Cardoso ; Francischetti, Emilio Antonio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-6cd909acd0d34646359828b645405f965984e2ec327345391ae3373303e35cd63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acute coronary syndromes</topic><topic>Adiponectin</topic><topic>Adiponectin - blood</topic><topic>Adiponectin - chemistry</topic><topic>Adult</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Blood Glucose - metabolism</topic><topic>Blood pressure</topic><topic>Body Mass Index</topic><topic>Brazil</topic><topic>Cardiovascular diseases</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Disease resistance</topic><topic>Drugs</topic><topic>Epidemiology</topic><topic>Fasting</topic><topic>Fasting - blood</topic><topic>Female</topic><topic>Genealogy</topic><topic>Genetic aspects</topic><topic>Glucose</topic><topic>High density lipoprotein</topic><topic>Homeostasis</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Inflammation</topic><topic>Infrared radiation</topic><topic>Insulin</topic><topic>Insulin - blood</topic><topic>Insulin Resistance</topic><topic>Kinases</topic><topic>Laboratory testing</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - blood</topic><topic>Metabolic Syndrome - complications</topic><topic>Metabolic Syndrome - ethnology</topic><topic>Metabolic syndrome X</topic><topic>Middle Aged</topic><topic>Molecular Weight</topic><topic>Multivariate Analysis</topic><topic>Normal distribution</topic><topic>Obesity</topic><topic>Obesity - blood</topic><topic>Obesity - complications</topic><topic>Patient outcomes</topic><topic>Physical Sciences</topic><topic>Population</topic><topic>Populations</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Sensitizing</topic><topic>Triglycerides</topic><topic>Triglycerides - blood</topic><topic>Urban Health - statistics & numerical data</topic><topic>Waist Circumference</topic><topic>Womens health</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Abreu, Virgínia Genelhu</creatorcontrib><creatorcontrib>Martins, Cyro José de Moraes</creatorcontrib><creatorcontrib>de Oliveira, Patricia Aguiar Cardoso</creatorcontrib><creatorcontrib>Francischetti, Emilio Antonio</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Science In Context</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Proquest Health and Medical Complete</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals (Open Access)</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Abreu, Virgínia Genelhu</au><au>Martins, Cyro José de Moraes</au><au>de Oliveira, Patricia Aguiar Cardoso</au><au>Francischetti, Emilio Antonio</au><au>Hribal, Marta Letizia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-07-26</date><risdate>2017</risdate><volume>12</volume><issue>7</issue><spage>e0180947</spage><epage>e0180947</epage><pages>e0180947-e0180947</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Metabolic syndrome (MetS) has an important epidemiological relevance due to its increasing prevalence and association with type 2 diabetes and cardiovascular disease. Insulin resistance is a core feature of the MetS. HOMA-IR is a robust clinical and epidemiological marker of MetS. Adiponectin is an adipokine with insulin-sensitizing and anti-inflammatory functions; its levels decrease as number of components of MetS increases. High-molecular weight adiponectin (HMWA) is the multimer responsible for the relationship of adiponectin with insulin sensitivity. HOMA-IR and HMWA are suitable candidates for MetS biomarkers. The ratio of adiponectin to HOMA-IR has been validated as a powerful index of MetS and considered a better marker of its presence, than either HOMA-IR or adiponectin alone, in selected homogeneous populations. We compared the strength of association between HMWA, HOMA-IR and HMWA/HOMA-IR ratio with MetS and its key components. Our data have shown that the median (25th, 75th percentile) of HMWA/HOMA-IR ratio was lower in subjects with MetS [0.51 (0.33, 1.31)] as compared to those without it [2.19 (1.13, 4.71)]. The correlation coefficient (r) was significantly higher for HMWA/HOMA-IR ratio as compared to HMWA for waist circumference (-0.65; -0.40, respectively); mean blood pressure (-0.27; -0.14, respectively); fasting glucose (-0.38; -0.19, respectively); HDL-cholesterol (0.44; 0.40, respectively); and triglycerides (-0.35; -0.18, respectively). In a multivariable logistic regression analysis, the HMWA/HOMA-IR ratio was a sensitive predictor for MetS, being the only marker that was significantly associated with each and all the individual components of the syndrome. These results expand on previous studies in that we used the active circulating form of adiponectin, i.e. HMWA, and represent a typical Brazilian cohort characterized by intense interethnic admixture. Thus, the HMWA/HOMA-IR ratio is a minimally invasive biomarker for MetS that could be clinically useful in prognosing patient outcome.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28746378</pmid><doi>10.1371/journal.pone.0180947</doi><tpages>e0180947</tpages><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-07, Vol.12 (7), p.e0180947-e0180947 |
issn | 1932-6203 1932-6203 |
language | eng |
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subjects | Acute coronary syndromes Adiponectin Adiponectin - blood Adiponectin - chemistry Adult Biological markers Biology and Life Sciences Biomarkers Biomarkers - blood Blood Glucose - metabolism Blood pressure Body Mass Index Brazil Cardiovascular diseases Cholesterol Cholesterol, HDL - blood Correlation coefficient Correlation coefficients Diabetes Diabetes mellitus Disease resistance Drugs Epidemiology Fasting Fasting - blood Female Genealogy Genetic aspects Glucose High density lipoprotein Homeostasis Humans Hypertension Inflammation Infrared radiation Insulin Insulin - blood Insulin Resistance Kinases Laboratory testing Logistic Models Male Medicine and Health Sciences Metabolic syndrome Metabolic Syndrome - blood Metabolic Syndrome - complications Metabolic Syndrome - ethnology Metabolic syndrome X Middle Aged Molecular Weight Multivariate Analysis Normal distribution Obesity Obesity - blood Obesity - complications Patient outcomes Physical Sciences Population Populations Prognosis Regression analysis Sensitizing Triglycerides Triglycerides - blood Urban Health - statistics & numerical data Waist Circumference Womens health Young Adult |
title | High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects |
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