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Correlation analysis of gene expression and clinical chemistry to identify biomarkers of skeletal myopathy in mice treated with PPAR agonist GW610742X
Abstract Data from individual animals were used to identify genes in mouse skeletal muscle whose expression correlated with a known serum marker of skeletal myopathy, creatine kinase activity (CK), after treatment with a peroxisome proliferator-activated receptors (PPAR) agonist, GW610742X. Six gene...
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Published in: | Biomarkers 2008-01, Vol.13 (4), p.364-376 |
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creator | Casey, W. M. Brodie, T. Yoon, L. Ni, H. Jordan, H. L. Cariello, N. F. |
description | Abstract
Data from individual animals were used to identify genes in mouse skeletal muscle whose expression correlated with a known serum marker of skeletal myopathy, creatine kinase activity (CK), after treatment with a peroxisome proliferator-activated receptors (PPAR) agonist, GW610742X. Six genes had correlation coefficients of ≥0.90: Mt1a (metallothionein 1a), Rrad (Ras-related associated with diabetes), Ankrd1 (ankyrin repeat domain 1), Stat3 (signal transducer and activator of transcription 3), Socs3 (suppressor of cytokine signalling 3) and Mid1ip1 (Mid1 interacting protein 1). The physiological function of these genes provides potentially useful information relating to the mechanism of PPAR-induced skeletal myopathy, with oxidative stress and disruption of glycolysis most closely associated with myopathic damage. Some of the muscle genes most highly correlated with serum CK in mice also appear to be good indicators of PPAR-induced myopathy in rat skeletal muscle, demonstrating the translational potential of this approach. This study clearly shows the utility of using correlation analysis as a simple tool for identifying novel biomarkers and investigating mechanisms of toxicity. |
doi_str_mv | 10.1080/13547500801903545 |
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Data from individual animals were used to identify genes in mouse skeletal muscle whose expression correlated with a known serum marker of skeletal myopathy, creatine kinase activity (CK), after treatment with a peroxisome proliferator-activated receptors (PPAR) agonist, GW610742X. Six genes had correlation coefficients of ≥0.90: Mt1a (metallothionein 1a), Rrad (Ras-related associated with diabetes), Ankrd1 (ankyrin repeat domain 1), Stat3 (signal transducer and activator of transcription 3), Socs3 (suppressor of cytokine signalling 3) and Mid1ip1 (Mid1 interacting protein 1). The physiological function of these genes provides potentially useful information relating to the mechanism of PPAR-induced skeletal myopathy, with oxidative stress and disruption of glycolysis most closely associated with myopathic damage. Some of the muscle genes most highly correlated with serum CK in mice also appear to be good indicators of PPAR-induced myopathy in rat skeletal muscle, demonstrating the translational potential of this approach. This study clearly shows the utility of using correlation analysis as a simple tool for identifying novel biomarkers and investigating mechanisms of toxicity.</description><identifier>ISSN: 1354-750X</identifier><identifier>EISSN: 1366-5804</identifier><identifier>DOI: 10.1080/13547500801903545</identifier><identifier>PMID: 18484352</identifier><language>eng</language><publisher>London: Informa UK Ltd</publisher><subject>Animals ; Biological and medical sciences ; biomarker ; Biomarkers - blood ; correlation ; Creatine Kinase - blood ; Diseases of striated muscles. Neuromuscular diseases ; Female ; gene expression ; Gene Expression - drug effects ; Gene Expression Profiling ; glycolysis ; Male ; Medical sciences ; Metallothionein - genetics ; Mice ; Mice, Inbred C57BL ; Mice, Knockout ; Muscle Proteins ; Muscle, Skeletal - metabolism ; Muscle, Skeletal - pathology ; Muscular Diseases - blood ; Muscular Diseases - genetics ; myopathy ; Neurology ; Nuclear Proteins - genetics ; Oligonucleotide Array Sequence Analysis ; oxidative stress ; Peroxisome Proliferator-Activated Receptors - agonists ; Peroxisome Proliferator-Activated Receptors - genetics ; PPAR ; ras Proteins - genetics ; Rats ; Rats, Sprague-Dawley ; Repressor Proteins - genetics ; STAT3 Transcription Factor - genetics ; Suppressor of Cytokine Signaling 3 Protein ; Suppressor of Cytokine Signaling Proteins - genetics ; Thiazoles - pharmacology</subject><ispartof>Biomarkers, 2008-01, Vol.13 (4), p.364-376</ispartof><rights>2008 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted 2008</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-88a98c0920e66f723c6567b83d8d3372260c34298ad11d4fe02bdb663cd65a3b3</citedby><cites>FETCH-LOGICAL-c434t-88a98c0920e66f723c6567b83d8d3372260c34298ad11d4fe02bdb663cd65a3b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20373714$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18484352$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Casey, W. M.</creatorcontrib><creatorcontrib>Brodie, T.</creatorcontrib><creatorcontrib>Yoon, L.</creatorcontrib><creatorcontrib>Ni, H.</creatorcontrib><creatorcontrib>Jordan, H. L.</creatorcontrib><creatorcontrib>Cariello, N. F.</creatorcontrib><title>Correlation analysis of gene expression and clinical chemistry to identify biomarkers of skeletal myopathy in mice treated with PPAR agonist GW610742X</title><title>Biomarkers</title><addtitle>Biomarkers</addtitle><description>Abstract
Data from individual animals were used to identify genes in mouse skeletal muscle whose expression correlated with a known serum marker of skeletal myopathy, creatine kinase activity (CK), after treatment with a peroxisome proliferator-activated receptors (PPAR) agonist, GW610742X. Six genes had correlation coefficients of ≥0.90: Mt1a (metallothionein 1a), Rrad (Ras-related associated with diabetes), Ankrd1 (ankyrin repeat domain 1), Stat3 (signal transducer and activator of transcription 3), Socs3 (suppressor of cytokine signalling 3) and Mid1ip1 (Mid1 interacting protein 1). The physiological function of these genes provides potentially useful information relating to the mechanism of PPAR-induced skeletal myopathy, with oxidative stress and disruption of glycolysis most closely associated with myopathic damage. Some of the muscle genes most highly correlated with serum CK in mice also appear to be good indicators of PPAR-induced myopathy in rat skeletal muscle, demonstrating the translational potential of this approach. This study clearly shows the utility of using correlation analysis as a simple tool for identifying novel biomarkers and investigating mechanisms of toxicity.</description><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>biomarker</subject><subject>Biomarkers - blood</subject><subject>correlation</subject><subject>Creatine Kinase - blood</subject><subject>Diseases of striated muscles. Neuromuscular diseases</subject><subject>Female</subject><subject>gene expression</subject><subject>Gene Expression - drug effects</subject><subject>Gene Expression Profiling</subject><subject>glycolysis</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Metallothionein - genetics</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Mice, Knockout</subject><subject>Muscle Proteins</subject><subject>Muscle, Skeletal - metabolism</subject><subject>Muscle, Skeletal - pathology</subject><subject>Muscular Diseases - blood</subject><subject>Muscular Diseases - genetics</subject><subject>myopathy</subject><subject>Neurology</subject><subject>Nuclear Proteins - genetics</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>oxidative stress</subject><subject>Peroxisome Proliferator-Activated Receptors - agonists</subject><subject>Peroxisome Proliferator-Activated Receptors - genetics</subject><subject>PPAR</subject><subject>ras Proteins - genetics</subject><subject>Rats</subject><subject>Rats, Sprague-Dawley</subject><subject>Repressor Proteins - genetics</subject><subject>STAT3 Transcription Factor - genetics</subject><subject>Suppressor of Cytokine Signaling 3 Protein</subject><subject>Suppressor of Cytokine Signaling Proteins - genetics</subject><subject>Thiazoles - pharmacology</subject><issn>1354-750X</issn><issn>1366-5804</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNp9kc1qFTEcxYMo9kMfwI1k43I0X5PJRTfloq1QsBTF7oZM8p9O2kxySVLqvIjPa-q9rUihqxzI7xxyThB6Q8l7ShT5QHkrupZUSVek6vYZ2qdcyqZVRDy_061oKnCxhw5yviKEcrZSL9EeVUIJ3rJ99HsdUwKvi4sB66D9kl3GccSXEADDr02CnLd3FhvvgjPaYzPB7HJJCy4ROwuhuHHBg4uzTteQ_gbka_BQKjwvcaPLtGAX8OwM4JJAF7D41pUJn50dnWN9GUPNw8c_JSWdYBev0ItR-wyvd-ch-vHl8_f1SXP67fjr-ui0MYKL0iilV8qQFSMg5dgxbmQru0FxqyznHWOSGC5qZ20ptWIEwgY7SMmNla3mAz9EdJtrUsw5wdhvkqsllp6S_m7j_tHG1fN269ncDDPYf47dqBV4twN0rmuNSQfj8gPHCO94R0XlPm05F8aYZn0bk7d90YuP6d7En3rHx__sE2hfJqMT9FfxJtW_zE-0-AP676qT</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Casey, W. M.</creator><creator>Brodie, T.</creator><creator>Yoon, L.</creator><creator>Ni, H.</creator><creator>Jordan, H. L.</creator><creator>Cariello, N. F.</creator><general>Informa UK Ltd</general><general>Taylor & Francis</general><scope>IQODW</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></search><sort><creationdate>20080101</creationdate><title>Correlation analysis of gene expression and clinical chemistry to identify biomarkers of skeletal myopathy in mice treated with PPAR agonist GW610742X</title><author>Casey, W. M. ; Brodie, T. ; Yoon, L. ; Ni, H. ; Jordan, H. L. ; Cariello, N. F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-88a98c0920e66f723c6567b83d8d3372260c34298ad11d4fe02bdb663cd65a3b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>biomarker</topic><topic>Biomarkers - blood</topic><topic>correlation</topic><topic>Creatine Kinase - blood</topic><topic>Diseases of striated muscles. Neuromuscular diseases</topic><topic>Female</topic><topic>gene expression</topic><topic>Gene Expression - drug effects</topic><topic>Gene Expression Profiling</topic><topic>glycolysis</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Metallothionein - genetics</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Mice, Knockout</topic><topic>Muscle Proteins</topic><topic>Muscle, Skeletal - metabolism</topic><topic>Muscle, Skeletal - pathology</topic><topic>Muscular Diseases - blood</topic><topic>Muscular Diseases - genetics</topic><topic>myopathy</topic><topic>Neurology</topic><topic>Nuclear Proteins - genetics</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>oxidative stress</topic><topic>Peroxisome Proliferator-Activated Receptors - agonists</topic><topic>Peroxisome Proliferator-Activated Receptors - genetics</topic><topic>PPAR</topic><topic>ras Proteins - genetics</topic><topic>Rats</topic><topic>Rats, Sprague-Dawley</topic><topic>Repressor Proteins - genetics</topic><topic>STAT3 Transcription Factor - genetics</topic><topic>Suppressor of Cytokine Signaling 3 Protein</topic><topic>Suppressor of Cytokine Signaling Proteins - genetics</topic><topic>Thiazoles - pharmacology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Casey, W. M.</creatorcontrib><creatorcontrib>Brodie, T.</creatorcontrib><creatorcontrib>Yoon, L.</creatorcontrib><creatorcontrib>Ni, H.</creatorcontrib><creatorcontrib>Jordan, H. L.</creatorcontrib><creatorcontrib>Cariello, N. F.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Biomarkers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Casey, W. M.</au><au>Brodie, T.</au><au>Yoon, L.</au><au>Ni, H.</au><au>Jordan, H. L.</au><au>Cariello, N. F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation analysis of gene expression and clinical chemistry to identify biomarkers of skeletal myopathy in mice treated with PPAR agonist GW610742X</atitle><jtitle>Biomarkers</jtitle><addtitle>Biomarkers</addtitle><date>2008-01-01</date><risdate>2008</risdate><volume>13</volume><issue>4</issue><spage>364</spage><epage>376</epage><pages>364-376</pages><issn>1354-750X</issn><eissn>1366-5804</eissn><abstract>Abstract
Data from individual animals were used to identify genes in mouse skeletal muscle whose expression correlated with a known serum marker of skeletal myopathy, creatine kinase activity (CK), after treatment with a peroxisome proliferator-activated receptors (PPAR) agonist, GW610742X. Six genes had correlation coefficients of ≥0.90: Mt1a (metallothionein 1a), Rrad (Ras-related associated with diabetes), Ankrd1 (ankyrin repeat domain 1), Stat3 (signal transducer and activator of transcription 3), Socs3 (suppressor of cytokine signalling 3) and Mid1ip1 (Mid1 interacting protein 1). The physiological function of these genes provides potentially useful information relating to the mechanism of PPAR-induced skeletal myopathy, with oxidative stress and disruption of glycolysis most closely associated with myopathic damage. Some of the muscle genes most highly correlated with serum CK in mice also appear to be good indicators of PPAR-induced myopathy in rat skeletal muscle, demonstrating the translational potential of this approach. This study clearly shows the utility of using correlation analysis as a simple tool for identifying novel biomarkers and investigating mechanisms of toxicity.</abstract><cop>London</cop><pub>Informa UK Ltd</pub><pmid>18484352</pmid><doi>10.1080/13547500801903545</doi><tpages>13</tpages></addata></record> |
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subjects | Animals Biological and medical sciences biomarker Biomarkers - blood correlation Creatine Kinase - blood Diseases of striated muscles. Neuromuscular diseases Female gene expression Gene Expression - drug effects Gene Expression Profiling glycolysis Male Medical sciences Metallothionein - genetics Mice Mice, Inbred C57BL Mice, Knockout Muscle Proteins Muscle, Skeletal - metabolism Muscle, Skeletal - pathology Muscular Diseases - blood Muscular Diseases - genetics myopathy Neurology Nuclear Proteins - genetics Oligonucleotide Array Sequence Analysis oxidative stress Peroxisome Proliferator-Activated Receptors - agonists Peroxisome Proliferator-Activated Receptors - genetics PPAR ras Proteins - genetics Rats Rats, Sprague-Dawley Repressor Proteins - genetics STAT3 Transcription Factor - genetics Suppressor of Cytokine Signaling 3 Protein Suppressor of Cytokine Signaling Proteins - genetics Thiazoles - pharmacology |
title | Correlation analysis of gene expression and clinical chemistry to identify biomarkers of skeletal myopathy in mice treated with PPAR agonist GW610742X |
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