A HPLC-Q-TOF-MS-based Urinary Metabolomic Approach to Identification of Potential Biomarkers of Metabolic Syndrome
Metabolic syndrome (MetS) is a serious threat to public health worldwide with an increased risk of developing type 2 diabetes, cardiovascular diseases and all-cause morbidity and mortality. In this study, a urinary metabolomic approach was performed on high performance liquid chromatography quadrupo...
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Veröffentlicht in: | Journal of Huazhong University of Science and Technology. Medical sciences 2014-04, Vol.34 (2), p.276-283 |
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creator | 于智睿 宁宇 于浩 汤乃军 |
description | Metabolic syndrome (MetS) is a serious threat to public health worldwide with an increased risk of developing type 2 diabetes, cardiovascular diseases and all-cause morbidity and mortality. In this study, a urinary metabolomic approach was performed on high performance liquid chromatography quadrupole time-of-flight mass spectrometry to discriminate 36 male MetS patients and 36 sex and age matched healthy controls. Pattern recognition analyses (principal component analysis and orthogonal projections to latent structures discriminate analysis) commonly demonstrated the difference between MetS patients and no-MetS subjects. This study found 8 metabolites that showed significant changes in patients with MetS, including branch-chain and aromatic amino acids (leucine, tyrosine, phenylalanine and tryptophan), short-chain acylcanitine (tiglylcamitine), tricarboxylic acid (TCA) cycle intermediate (cis-aconitic acid) and glucuronidated products (cortolone-3-glucuronide and tetrahydroaldoster- one-3-glucuronide). The candidate biomarkers revealed in this study could be useful in providing clues for further research focusing on the in-depth investigation of the cause of and cure for MetS. |
doi_str_mv | 10.1007/s11596-014-1271-7 |
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In this study, a urinary metabolomic approach was performed on high performance liquid chromatography quadrupole time-of-flight mass spectrometry to discriminate 36 male MetS patients and 36 sex and age matched healthy controls. Pattern recognition analyses (principal component analysis and orthogonal projections to latent structures discriminate analysis) commonly demonstrated the difference between MetS patients and no-MetS subjects. This study found 8 metabolites that showed significant changes in patients with MetS, including branch-chain and aromatic amino acids (leucine, tyrosine, phenylalanine and tryptophan), short-chain acylcanitine (tiglylcamitine), tricarboxylic acid (TCA) cycle intermediate (cis-aconitic acid) and glucuronidated products (cortolone-3-glucuronide and tetrahydroaldoster- one-3-glucuronide). The candidate biomarkers revealed in this study could be useful in providing clues for further research focusing on the in-depth investigation of the cause of and cure for MetS.</description><identifier>ISSN: 1672-0733</identifier><identifier>EISSN: 1993-1352</identifier><identifier>DOI: 10.1007/s11596-014-1271-7</identifier><identifier>PMID: 24710945</identifier><language>eng</language><publisher>Heidelberg: Huazhong University of Science and Technology</publisher><subject>2型糖尿病 ; Adult ; Biomarkers - urine ; Chromatography, High Pressure Liquid ; Female ; Humans ; Male ; Mass Spectrometry ; Medicine ; Medicine & Public Health ; Metabolic Syndrome - diagnosis ; Metabolic Syndrome - urine ; Metabolomics ; Middle Aged ; Principal Component Analysis ; 代谢组学 ; 代谢综合征 ; 生物标志物 ; 芳香族氨基酸 ; 鉴定 ; 高效液相色谱</subject><ispartof>Journal of Huazhong University of Science and Technology. Medical sciences, 2014-04, Vol.34 (2), p.276-283</ispartof><rights>Huazhong University of Science and Technology and Springer-Verlag Berlin Heidelberg 2014</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-f7b01a6e8ae69ba63ad7a1a0890578207d80086ffbcca2788be1d0a42f4f65a53</citedby><cites>FETCH-LOGICAL-c472t-f7b01a6e8ae69ba63ad7a1a0890578207d80086ffbcca2788be1d0a42f4f65a53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85740A/85740A.jpg</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24710945$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>于智睿 宁宇 于浩 汤乃军</creatorcontrib><title>A HPLC-Q-TOF-MS-based Urinary Metabolomic Approach to Identification of Potential Biomarkers of Metabolic Syndrome</title><title>Journal of Huazhong University of Science and Technology. Medical sciences</title><addtitle>J. Huazhong Univ. Sci. Technol. [Med. Sci.]</addtitle><addtitle>Journal of Zuazhong University of Science and Technology: Medical Edition</addtitle><description>Metabolic syndrome (MetS) is a serious threat to public health worldwide with an increased risk of developing type 2 diabetes, cardiovascular diseases and all-cause morbidity and mortality. In this study, a urinary metabolomic approach was performed on high performance liquid chromatography quadrupole time-of-flight mass spectrometry to discriminate 36 male MetS patients and 36 sex and age matched healthy controls. Pattern recognition analyses (principal component analysis and orthogonal projections to latent structures discriminate analysis) commonly demonstrated the difference between MetS patients and no-MetS subjects. This study found 8 metabolites that showed significant changes in patients with MetS, including branch-chain and aromatic amino acids (leucine, tyrosine, phenylalanine and tryptophan), short-chain acylcanitine (tiglylcamitine), tricarboxylic acid (TCA) cycle intermediate (cis-aconitic acid) and glucuronidated products (cortolone-3-glucuronide and tetrahydroaldoster- one-3-glucuronide). The candidate biomarkers revealed in this study could be useful in providing clues for further research focusing on the in-depth investigation of the cause of and cure for MetS.</description><subject>2型糖尿病</subject><subject>Adult</subject><subject>Biomarkers - urine</subject><subject>Chromatography, High Pressure Liquid</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Mass Spectrometry</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Syndrome - diagnosis</subject><subject>Metabolic Syndrome - urine</subject><subject>Metabolomics</subject><subject>Middle Aged</subject><subject>Principal Component Analysis</subject><subject>代谢组学</subject><subject>代谢综合征</subject><subject>生物标志物</subject><subject>芳香族氨基酸</subject><subject>鉴定</subject><subject>高效液相色谱</subject><issn>1672-0733</issn><issn>1993-1352</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1PGzEQhq2qVfn8AVyQe0am449d7x7TCApSEFTA2ZrdtcOGxE7tRZB_X0cb4NbTjMbv83rmJeSEwzkH0D8T50VdMuCKcaE501_IPq9rybgsxNfcl1ow0FLukYOUFgCFLoX6TvaE0hxqVeyTOKFXd7Mp-8Mebi_ZzT1rMNmOPsbeY9zQGztgE5Zh1bd0sl7HgO0THQK97qwfete3OPTB0-DoXRi2I1zSX31YYXy2MW3nO4fM3298F8PKHpFvDpfJHu_qIXm8vHiYXrHZ7e_r6WTGWqXFwJxugGNpK7Rl3WApsdPIEao6n1EJ0F0FUJXONW2LQldVY3kHqIRTriywkIfkbPR9Re_Qz80ivESffzTDYvPcvb01xoqcHQgQMqv5qG5jSClaZ9axz3dsDAezTduMaZtMmG3aRmfmdGTWL83Kdh_Ee7xZIEZByk9-buPnDv9z_bHb5Cn4-d_MfRirWshKFYX8B1hDlaE</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>于智睿 宁宇 于浩 汤乃军</creator><general>Huazhong University of Science and Technology</general><general>Tianjin Entry-Exit Inspection and Quarantine Bureau, Tianjin 300308, China%Department of Occupational and Environmental Health, Tianjin Medical University, Tianjin 300070, China</general><general>Department of Occupational and Environmental Health, Tianjin Medical University, Tianjin 300070, China</general><general>Offshore Oil Centers for Disease Control and Prevention, Tianjin 300452, China%Department of Occupational and Environmental Health, Tianjin Medical University, Tianjin 300070, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W91</scope><scope>~WA</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>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20140401</creationdate><title>A HPLC-Q-TOF-MS-based Urinary Metabolomic Approach to Identification of Potential Biomarkers of Metabolic Syndrome</title><author>于智睿 宁宇 于浩 汤乃军</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c472t-f7b01a6e8ae69ba63ad7a1a0890578207d80086ffbcca2788be1d0a42f4f65a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>2型糖尿病</topic><topic>Adult</topic><topic>Biomarkers - urine</topic><topic>Chromatography, High Pressure Liquid</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Mass Spectrometry</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Syndrome - diagnosis</topic><topic>Metabolic Syndrome - urine</topic><topic>Metabolomics</topic><topic>Middle Aged</topic><topic>Principal Component Analysis</topic><topic>代谢组学</topic><topic>代谢综合征</topic><topic>生物标志物</topic><topic>芳香族氨基酸</topic><topic>鉴定</topic><topic>高效液相色谱</topic><toplevel>online_resources</toplevel><creatorcontrib>于智睿 宁宇 于浩 汤乃军</creatorcontrib><collection>维普_期刊</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>维普中文期刊数据库</collection><collection>中文科技期刊数据库-医药卫生</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of Huazhong University of Science and Technology. 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In this study, a urinary metabolomic approach was performed on high performance liquid chromatography quadrupole time-of-flight mass spectrometry to discriminate 36 male MetS patients and 36 sex and age matched healthy controls. Pattern recognition analyses (principal component analysis and orthogonal projections to latent structures discriminate analysis) commonly demonstrated the difference between MetS patients and no-MetS subjects. This study found 8 metabolites that showed significant changes in patients with MetS, including branch-chain and aromatic amino acids (leucine, tyrosine, phenylalanine and tryptophan), short-chain acylcanitine (tiglylcamitine), tricarboxylic acid (TCA) cycle intermediate (cis-aconitic acid) and glucuronidated products (cortolone-3-glucuronide and tetrahydroaldoster- one-3-glucuronide). 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subjects | 2型糖尿病 Adult Biomarkers - urine Chromatography, High Pressure Liquid Female Humans Male Mass Spectrometry Medicine Medicine & Public Health Metabolic Syndrome - diagnosis Metabolic Syndrome - urine Metabolomics Middle Aged Principal Component Analysis 代谢组学 代谢综合征 生物标志物 芳香族氨基酸 鉴定 高效液相色谱 |
title | A HPLC-Q-TOF-MS-based Urinary Metabolomic Approach to Identification of Potential Biomarkers of Metabolic Syndrome |
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