Metabolomic Analysis Using Liquid Chromatography/Mass Spectrometry for Gastric Cancer
Metabolomics is a post-genomics research field for analysis of low molecular weight compounds in biological samples and has shown great potentials for elucidating complex mechanisms associated with diseases. However, metabolomics studies on gastric cancer (GC), which is the second leading cause of c...
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| Veröffentlicht in: | Applied biochemistry and biotechnology 2015-08, Vol.176 (8), p.2170-2184 |
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| description | Metabolomics is a post-genomics research field for analysis of low molecular weight compounds in biological samples and has shown great potentials for elucidating complex mechanisms associated with diseases. However, metabolomics studies on gastric cancer (GC), which is the second leading cause of cancer death worldwide, remain scarce, and the molecular mechanisms to metabolomics phenotypes are also still not fully understood. This study reports that the metabolic pathways can be exploited as biomarkers for diagnosis and treatment of GC progression as a case study. Importantly, the urinary metabolites and metabolic patterns were analyzed by high-throughput liquid chromatography mass spectrometry (LC-MS) metabolomics strategy coupled with chemometric evaluation. Sixteen metabolites (nine upregulated and seven downregulated) were differentially expressed and may thus serve as potential urinary biomarkers for human GC. These metabolites were mainly involved in multiple metabolic pathways, including citrate cycle (malic acid, succinic acid, 2-oxoglutarate, citric acid), cyanoamino acid metabolism (glycine, alanine), primary bile acid biosynthesis (glycine, taurine, glycocholic acid), arginine and proline metabolism (urea, L-proline), and fatty acid metabolism (hexadecanoic acid), among others. Network analysis validated close association between these identified metabolites and altered metabolic pathways in a variety of biological processes. These results suggest that urine metabolic profiles have great potential in detecting GC and may aid in understanding its underlying mechanisms. It provides insight into disease pathophysiology and can serve as the basis for developing disease biomarkers and therapeutic interventions for GC diseases. |
| doi_str_mv | 10.1007/s12010-015-1706-z |
| format | Article |
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However, metabolomics studies on gastric cancer (GC), which is the second leading cause of cancer death worldwide, remain scarce, and the molecular mechanisms to metabolomics phenotypes are also still not fully understood. This study reports that the metabolic pathways can be exploited as biomarkers for diagnosis and treatment of GC progression as a case study. Importantly, the urinary metabolites and metabolic patterns were analyzed by high-throughput liquid chromatography mass spectrometry (LC-MS) metabolomics strategy coupled with chemometric evaluation. Sixteen metabolites (nine upregulated and seven downregulated) were differentially expressed and may thus serve as potential urinary biomarkers for human GC. These metabolites were mainly involved in multiple metabolic pathways, including citrate cycle (malic acid, succinic acid, 2-oxoglutarate, citric acid), cyanoamino acid metabolism (glycine, alanine), primary bile acid biosynthesis (glycine, taurine, glycocholic acid), arginine and proline metabolism (urea, L-proline), and fatty acid metabolism (hexadecanoic acid), among others. Network analysis validated close association between these identified metabolites and altered metabolic pathways in a variety of biological processes. These results suggest that urine metabolic profiles have great potential in detecting GC and may aid in understanding its underlying mechanisms. It provides insight into disease pathophysiology and can serve as the basis for developing disease biomarkers and therapeutic interventions for GC diseases.</description><identifier>ISSN: 0273-2289</identifier><identifier>EISSN: 1559-0291</identifier><identifier>DOI: 10.1007/s12010-015-1706-z</identifier><identifier>PMID: 26088916</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; alanine ; arginine ; biochemical pathways ; Biochemistry ; Biological samples ; biomarkers ; Biomarkers, Tumor - metabolism ; Biomarkers, Tumor - urine ; Biosynthesis ; Biotechnology ; case studies ; Case-Control Studies ; Chemistry ; Chemistry and Materials Science ; chemometrics ; Chromatography ; Chromatography, Liquid - methods ; citrates ; citric acid ; death ; fatty acid metabolism ; Gastric cancer ; gene expression regulation ; Genomics ; glycocholic acid ; Humans ; Liquid chromatography ; malic acid ; Mass spectrometry ; Mass Spectrometry - methods ; Metabolic Networks and Pathways ; metabolism ; Metabolites ; Metabolome ; metabolomics ; Metabolomics - methods ; Molecular weight ; palmitic acid ; pathophysiology ; Phenotype ; Principal Component Analysis ; proline ; stomach neoplasms ; Stomach Neoplasms - metabolism ; Stomach Neoplasms - urine ; succinic acid ; taurine ; Urea ; urine</subject><ispartof>Applied biochemistry and biotechnology, 2015-08, Vol.176 (8), p.2170-2184</ispartof><rights>Springer Science+Business Media New York 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c565t-82fc18267900572c21a81dd96e438049c5f0d54eb30bfd0c55059df20ffafc123</citedby><cites>FETCH-LOGICAL-c565t-82fc18267900572c21a81dd96e438049c5f0d54eb30bfd0c55059df20ffafc123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12010-015-1706-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12010-015-1706-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26088916$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liang, Qun</creatorcontrib><creatorcontrib>Wang, Cong</creatorcontrib><creatorcontrib>Li, Binbing</creatorcontrib><title>Metabolomic Analysis Using Liquid Chromatography/Mass Spectrometry for Gastric Cancer</title><title>Applied biochemistry and biotechnology</title><addtitle>Appl Biochem Biotechnol</addtitle><addtitle>Appl Biochem Biotechnol</addtitle><description>Metabolomics is a post-genomics research field for analysis of low molecular weight compounds in biological samples and has shown great potentials for elucidating complex mechanisms associated with diseases. However, metabolomics studies on gastric cancer (GC), which is the second leading cause of cancer death worldwide, remain scarce, and the molecular mechanisms to metabolomics phenotypes are also still not fully understood. This study reports that the metabolic pathways can be exploited as biomarkers for diagnosis and treatment of GC progression as a case study. Importantly, the urinary metabolites and metabolic patterns were analyzed by high-throughput liquid chromatography mass spectrometry (LC-MS) metabolomics strategy coupled with chemometric evaluation. Sixteen metabolites (nine upregulated and seven downregulated) were differentially expressed and may thus serve as potential urinary biomarkers for human GC. These metabolites were mainly involved in multiple metabolic pathways, including citrate cycle (malic acid, succinic acid, 2-oxoglutarate, citric acid), cyanoamino acid metabolism (glycine, alanine), primary bile acid biosynthesis (glycine, taurine, glycocholic acid), arginine and proline metabolism (urea, L-proline), and fatty acid metabolism (hexadecanoic acid), among others. Network analysis validated close association between these identified metabolites and altered metabolic pathways in a variety of biological processes. These results suggest that urine metabolic profiles have great potential in detecting GC and may aid in understanding its underlying mechanisms. It provides insight into disease pathophysiology and can serve as the basis for developing disease biomarkers and therapeutic interventions for GC diseases.</description><subject>Adult</subject><subject>alanine</subject><subject>arginine</subject><subject>biochemical pathways</subject><subject>Biochemistry</subject><subject>Biological samples</subject><subject>biomarkers</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Biomarkers, Tumor - urine</subject><subject>Biosynthesis</subject><subject>Biotechnology</subject><subject>case studies</subject><subject>Case-Control Studies</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>chemometrics</subject><subject>Chromatography</subject><subject>Chromatography, Liquid - methods</subject><subject>citrates</subject><subject>citric acid</subject><subject>death</subject><subject>fatty acid metabolism</subject><subject>Gastric cancer</subject><subject>gene expression regulation</subject><subject>Genomics</subject><subject>glycocholic acid</subject><subject>Humans</subject><subject>Liquid chromatography</subject><subject>malic acid</subject><subject>Mass spectrometry</subject><subject>Mass Spectrometry - methods</subject><subject>Metabolic Networks and Pathways</subject><subject>metabolism</subject><subject>Metabolites</subject><subject>Metabolome</subject><subject>metabolomics</subject><subject>Metabolomics - methods</subject><subject>Molecular weight</subject><subject>palmitic acid</subject><subject>pathophysiology</subject><subject>Phenotype</subject><subject>Principal Component Analysis</subject><subject>proline</subject><subject>stomach neoplasms</subject><subject>Stomach Neoplasms - metabolism</subject><subject>Stomach Neoplasms - urine</subject><subject>succinic acid</subject><subject>taurine</subject><subject>Urea</subject><subject>urine</subject><issn>0273-2289</issn><issn>1559-0291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><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>eNqNkU1P3DAQhq2Kqiy0P4ALROqFS8qMvf46olVLkRb1QPdseR17CUrixU4Oy6-vUWhV9YB6sjR-3nekeQg5Q_iCAPIqIwWEGpDXKEHUz-_IAjnXNVCNR2QBVLKaUqWPyUnOjwBIFZcfyDEVoJRGsSCbOz_abexi37rqerDdIbe52uR22FXr9mlqm2r1kGJvx7hLdv9wuLqzOVf3e-_GMvZjOlQhpurG5jGVipUdnE8fyftgu-w_vb6nZPPt68_V93r94-Z2db2uHRd8rBUNDhUVUgNwSR1Fq7BptPBLpmCpHQ_Q8KXfMtiGBhznwHUTKIRgS5KyU3I59-5TfJp8Hk3fZue7zg4-TtmgRColo4L9BwpMaM24KOjnf9DHOKVym5lCJpVShcKZcinmnHww-9T2Nh0MgnnRY2Y9puh5yQnzXDLnr83TtvfNn8RvHwWgM5DL17Dz6a_Vb7RezKFgo7G71GazuS-QgGJcKQD2C90Dovo</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Liang, Qun</creator><creator>Wang, Cong</creator><creator>Li, Binbing</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>FBQ</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>7ST</scope><scope>7T7</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</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>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</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>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>SOI</scope><scope>7X8</scope><scope>7QO</scope></search><sort><creationdate>20150801</creationdate><title>Metabolomic Analysis Using Liquid Chromatography/Mass Spectrometry for Gastric Cancer</title><author>Liang, Qun ; Wang, Cong ; Li, Binbing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c565t-82fc18267900572c21a81dd96e438049c5f0d54eb30bfd0c55059df20ffafc123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>alanine</topic><topic>arginine</topic><topic>biochemical pathways</topic><topic>Biochemistry</topic><topic>Biological samples</topic><topic>biomarkers</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Biomarkers, Tumor - urine</topic><topic>Biosynthesis</topic><topic>Biotechnology</topic><topic>case studies</topic><topic>Case-Control Studies</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>chemometrics</topic><topic>Chromatography</topic><topic>Chromatography, Liquid - methods</topic><topic>citrates</topic><topic>citric acid</topic><topic>death</topic><topic>fatty acid metabolism</topic><topic>Gastric cancer</topic><topic>gene expression regulation</topic><topic>Genomics</topic><topic>glycocholic acid</topic><topic>Humans</topic><topic>Liquid chromatography</topic><topic>malic acid</topic><topic>Mass spectrometry</topic><topic>Mass Spectrometry - methods</topic><topic>Metabolic Networks and Pathways</topic><topic>metabolism</topic><topic>Metabolites</topic><topic>Metabolome</topic><topic>metabolomics</topic><topic>Metabolomics - methods</topic><topic>Molecular weight</topic><topic>palmitic acid</topic><topic>pathophysiology</topic><topic>Phenotype</topic><topic>Principal Component Analysis</topic><topic>proline</topic><topic>stomach neoplasms</topic><topic>Stomach Neoplasms - metabolism</topic><topic>Stomach Neoplasms - urine</topic><topic>succinic acid</topic><topic>taurine</topic><topic>Urea</topic><topic>urine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liang, Qun</creatorcontrib><creatorcontrib>Wang, Cong</creatorcontrib><creatorcontrib>Li, Binbing</creatorcontrib><collection>AGRIS</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>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</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 Pharma Collection</collection><collection>Technology Research Database</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>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</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>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><jtitle>Applied biochemistry and biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liang, Qun</au><au>Wang, Cong</au><au>Li, Binbing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolomic Analysis Using Liquid Chromatography/Mass Spectrometry for Gastric Cancer</atitle><jtitle>Applied biochemistry and biotechnology</jtitle><stitle>Appl Biochem Biotechnol</stitle><addtitle>Appl Biochem Biotechnol</addtitle><date>2015-08-01</date><risdate>2015</risdate><volume>176</volume><issue>8</issue><spage>2170</spage><epage>2184</epage><pages>2170-2184</pages><issn>0273-2289</issn><eissn>1559-0291</eissn><abstract>Metabolomics is a post-genomics research field for analysis of low molecular weight compounds in biological samples and has shown great potentials for elucidating complex mechanisms associated with diseases. However, metabolomics studies on gastric cancer (GC), which is the second leading cause of cancer death worldwide, remain scarce, and the molecular mechanisms to metabolomics phenotypes are also still not fully understood. This study reports that the metabolic pathways can be exploited as biomarkers for diagnosis and treatment of GC progression as a case study. Importantly, the urinary metabolites and metabolic patterns were analyzed by high-throughput liquid chromatography mass spectrometry (LC-MS) metabolomics strategy coupled with chemometric evaluation. Sixteen metabolites (nine upregulated and seven downregulated) were differentially expressed and may thus serve as potential urinary biomarkers for human GC. These metabolites were mainly involved in multiple metabolic pathways, including citrate cycle (malic acid, succinic acid, 2-oxoglutarate, citric acid), cyanoamino acid metabolism (glycine, alanine), primary bile acid biosynthesis (glycine, taurine, glycocholic acid), arginine and proline metabolism (urea, L-proline), and fatty acid metabolism (hexadecanoic acid), among others. Network analysis validated close association between these identified metabolites and altered metabolic pathways in a variety of biological processes. These results suggest that urine metabolic profiles have great potential in detecting GC and may aid in understanding its underlying mechanisms. It provides insight into disease pathophysiology and can serve as the basis for developing disease biomarkers and therapeutic interventions for GC diseases.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>26088916</pmid><doi>10.1007/s12010-015-1706-z</doi><tpages>15</tpages></addata></record> |
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| subjects | Adult alanine arginine biochemical pathways Biochemistry Biological samples biomarkers Biomarkers, Tumor - metabolism Biomarkers, Tumor - urine Biosynthesis Biotechnology case studies Case-Control Studies Chemistry Chemistry and Materials Science chemometrics Chromatography Chromatography, Liquid - methods citrates citric acid death fatty acid metabolism Gastric cancer gene expression regulation Genomics glycocholic acid Humans Liquid chromatography malic acid Mass spectrometry Mass Spectrometry - methods Metabolic Networks and Pathways metabolism Metabolites Metabolome metabolomics Metabolomics - methods Molecular weight palmitic acid pathophysiology Phenotype Principal Component Analysis proline stomach neoplasms Stomach Neoplasms - metabolism Stomach Neoplasms - urine succinic acid taurine Urea urine |
| title | Metabolomic Analysis Using Liquid Chromatography/Mass Spectrometry for Gastric Cancer |
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