Differentiating Antibiotic-Resistant Staphylococcus aureus Using Secondary Electrospray Ionization Tandem Mass Spectrometry
Secondary electrospray ionization mass spectrometry (SESI-MS) is an innovative metabolomics approach that primarily focuses on the gas-phase analyte detection. In this study, we developed a secondary electrospray ionization tandem mass spectrometry (SESI-MS/MS) method with a homemade SESI-MS front e...
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description | Secondary electrospray ionization mass spectrometry (SESI-MS) is an innovative metabolomics approach that primarily focuses on the gas-phase analyte detection. In this study, we developed a secondary electrospray ionization tandem mass spectrometry (SESI-MS/MS) method with a homemade SESI-MS front end, for sensitive, reproducible and selective detection of headspace volatile organic compounds (VOCs) emitted from bacterial culture. The optimized SESI-MS/MS was applied to examine the VOC metabolome of a pair of isogenic methicillin-susceptible and resistant Staphylococcus aureus (MSSA and MRSA) strains. From the headspace of bacterial culture, twelve organic acids, and eight amino acids with the mass range of 40–300 Da were specifically targeted with two selected reaction monitoring (SRM) transitions. Our results indicated that MSSA and MRSA strains can be clearly differentiated via partial least-squares discriminant analysis (PLS-DA) based on their headspace metabolic profiles. Furthermore, we studied the stress response of MSSA and MRSA to antibiotics treatment. Our result showed that MSSA and MRSA generated dramatically changed VOC metabolic profiles in response to ampicillin, which indicated that SESI-MS/MS could also be used for antibiotic treatment response monitoring in future studies. This study showed that SESI-MS/MS VOC analysis provides an additional approach to the bacterial metabolome detection complementary to traditional aqueous phase metabolite analysis. To the best of our knowledge, this was the first time that SESI-MS/MS was applied to investigate the bacterial metabolic perturbations caused by antibiotic treatment. |
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In this study, we developed a secondary electrospray ionization tandem mass spectrometry (SESI-MS/MS) method with a homemade SESI-MS front end, for sensitive, reproducible and selective detection of headspace volatile organic compounds (VOCs) emitted from bacterial culture. The optimized SESI-MS/MS was applied to examine the VOC metabolome of a pair of isogenic methicillin-susceptible and resistant Staphylococcus aureus (MSSA and MRSA) strains. From the headspace of bacterial culture, twelve organic acids, and eight amino acids with the mass range of 40–300 Da were specifically targeted with two selected reaction monitoring (SRM) transitions. Our results indicated that MSSA and MRSA strains can be clearly differentiated via partial least-squares discriminant analysis (PLS-DA) based on their headspace metabolic profiles. Furthermore, we studied the stress response of MSSA and MRSA to antibiotics treatment. Our result showed that MSSA and MRSA generated dramatically changed VOC metabolic profiles in response to ampicillin, which indicated that SESI-MS/MS could also be used for antibiotic treatment response monitoring in future studies. This study showed that SESI-MS/MS VOC analysis provides an additional approach to the bacterial metabolome detection complementary to traditional aqueous phase metabolite analysis. To the best of our knowledge, this was the first time that SESI-MS/MS was applied to investigate the bacterial metabolic perturbations caused by antibiotic treatment.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/acs.analchem.8b03029</identifier><identifier>PMID: 30240565</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Amino acids ; Ampicillin ; Antibiotic resistance ; Antibiotics ; Bacteria ; Chemistry ; Discriminant analysis ; Drug resistance ; Electrospraying ; Headspace ; Headspace volatiles ; Ionization ; Mass spectrometry ; Mass spectroscopy ; Metabolomics ; Methicillin ; Monitoring ; Organic acids ; Organic compounds ; Spectroscopy ; Staphylococcus aureus ; Staphylococcus infections ; Strains (organisms) ; VOCs ; Volatile organic compounds</subject><ispartof>Analytical chemistry (Washington), 2018-10, Vol.90 (20), p.12108-12115</ispartof><rights>Copyright American Chemical Society Oct 16, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a376t-416d8a5100526ea3939ebacd76d06bc943e1bc1e3d461fce85be85259afb90c43</citedby><cites>FETCH-LOGICAL-a376t-416d8a5100526ea3939ebacd76d06bc943e1bc1e3d461fce85be85259afb90c43</cites><orcidid>0000-0002-4548-8949</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.analchem.8b03029$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.analchem.8b03029$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2751,27055,27903,27904,56717,56767</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30240565$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Haorong</creatorcontrib><creatorcontrib>Zhu, Jiangjiang</creatorcontrib><title>Differentiating Antibiotic-Resistant Staphylococcus aureus Using Secondary Electrospray Ionization Tandem Mass Spectrometry</title><title>Analytical chemistry (Washington)</title><addtitle>Anal. Chem</addtitle><description>Secondary electrospray ionization mass spectrometry (SESI-MS) is an innovative metabolomics approach that primarily focuses on the gas-phase analyte detection. In this study, we developed a secondary electrospray ionization tandem mass spectrometry (SESI-MS/MS) method with a homemade SESI-MS front end, for sensitive, reproducible and selective detection of headspace volatile organic compounds (VOCs) emitted from bacterial culture. The optimized SESI-MS/MS was applied to examine the VOC metabolome of a pair of isogenic methicillin-susceptible and resistant Staphylococcus aureus (MSSA and MRSA) strains. From the headspace of bacterial culture, twelve organic acids, and eight amino acids with the mass range of 40–300 Da were specifically targeted with two selected reaction monitoring (SRM) transitions. Our results indicated that MSSA and MRSA strains can be clearly differentiated via partial least-squares discriminant analysis (PLS-DA) based on their headspace metabolic profiles. Furthermore, we studied the stress response of MSSA and MRSA to antibiotics treatment. Our result showed that MSSA and MRSA generated dramatically changed VOC metabolic profiles in response to ampicillin, which indicated that SESI-MS/MS could also be used for antibiotic treatment response monitoring in future studies. This study showed that SESI-MS/MS VOC analysis provides an additional approach to the bacterial metabolome detection complementary to traditional aqueous phase metabolite analysis. To the best of our knowledge, this was the first time that SESI-MS/MS was applied to investigate the bacterial metabolic perturbations caused by antibiotic treatment.</description><subject>Amino acids</subject><subject>Ampicillin</subject><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Bacteria</subject><subject>Chemistry</subject><subject>Discriminant analysis</subject><subject>Drug resistance</subject><subject>Electrospraying</subject><subject>Headspace</subject><subject>Headspace volatiles</subject><subject>Ionization</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Metabolomics</subject><subject>Methicillin</subject><subject>Monitoring</subject><subject>Organic acids</subject><subject>Organic compounds</subject><subject>Spectroscopy</subject><subject>Staphylococcus aureus</subject><subject>Staphylococcus infections</subject><subject>Strains (organisms)</subject><subject>VOCs</subject><subject>Volatile organic compounds</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kU9v1DAQxS0EokvhGyAUiQuXLGMndpJj1X9UalWp256jiTOhrhI72M5h4cvjZbc9cOhIo_Hh997I8xj7zGHNQfDvqMMaLY76kaZ13UEBonnDVlwKyFVdi7dsBQBFLiqAI_YhhCcAzoGr9-wosSVIJVfsz5kZBvJko8Fo7M_sJL0646LR-R0FEyLamG0izo_b0Wmn9RIyXDyl8RB2gg1pZ3v02-x8JB29C7PHbXblrPmdLJ3N7tH2NGU3GEK2mf8xE0W__cjeDTgG-nSYx-zh4vz-9Ed-fXt5dXpynWNRqZiXXPU1Sg4ghSIsmqKhDnVfqR5Up5uyIN5pTkVfKj5oqmWXWsgGh64BXRbH7Nved_bu10IhtpMJmsYRLbkltIKnKpWsmoR-_Q99cotPV95RQlZlLWWVqHJP6fTb4GloZ2-mdIKWQ7sLp03htM_htIdwkuzLwXzpJupfRM9pJAD2wE7-svhVz7_1VKEw</recordid><startdate>20181016</startdate><enddate>20181016</enddate><creator>Li, Haorong</creator><creator>Zhu, Jiangjiang</creator><general>American Chemical Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U7</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4548-8949</orcidid></search><sort><creationdate>20181016</creationdate><title>Differentiating Antibiotic-Resistant Staphylococcus aureus Using Secondary Electrospray Ionization Tandem Mass Spectrometry</title><author>Li, Haorong ; Zhu, Jiangjiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a376t-416d8a5100526ea3939ebacd76d06bc943e1bc1e3d461fce85be85259afb90c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Amino acids</topic><topic>Ampicillin</topic><topic>Antibiotic resistance</topic><topic>Antibiotics</topic><topic>Bacteria</topic><topic>Chemistry</topic><topic>Discriminant analysis</topic><topic>Drug resistance</topic><topic>Electrospraying</topic><topic>Headspace</topic><topic>Headspace volatiles</topic><topic>Ionization</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Metabolomics</topic><topic>Methicillin</topic><topic>Monitoring</topic><topic>Organic acids</topic><topic>Organic compounds</topic><topic>Spectroscopy</topic><topic>Staphylococcus aureus</topic><topic>Staphylococcus infections</topic><topic>Strains (organisms)</topic><topic>VOCs</topic><topic>Volatile organic compounds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Haorong</creatorcontrib><creatorcontrib>Zhu, Jiangjiang</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Haorong</au><au>Zhu, Jiangjiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differentiating Antibiotic-Resistant Staphylococcus aureus Using Secondary Electrospray Ionization Tandem Mass Spectrometry</atitle><jtitle>Analytical chemistry (Washington)</jtitle><addtitle>Anal. Chem</addtitle><date>2018-10-16</date><risdate>2018</risdate><volume>90</volume><issue>20</issue><spage>12108</spage><epage>12115</epage><pages>12108-12115</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><abstract>Secondary electrospray ionization mass spectrometry (SESI-MS) is an innovative metabolomics approach that primarily focuses on the gas-phase analyte detection. In this study, we developed a secondary electrospray ionization tandem mass spectrometry (SESI-MS/MS) method with a homemade SESI-MS front end, for sensitive, reproducible and selective detection of headspace volatile organic compounds (VOCs) emitted from bacterial culture. The optimized SESI-MS/MS was applied to examine the VOC metabolome of a pair of isogenic methicillin-susceptible and resistant Staphylococcus aureus (MSSA and MRSA) strains. From the headspace of bacterial culture, twelve organic acids, and eight amino acids with the mass range of 40–300 Da were specifically targeted with two selected reaction monitoring (SRM) transitions. Our results indicated that MSSA and MRSA strains can be clearly differentiated via partial least-squares discriminant analysis (PLS-DA) based on their headspace metabolic profiles. Furthermore, we studied the stress response of MSSA and MRSA to antibiotics treatment. Our result showed that MSSA and MRSA generated dramatically changed VOC metabolic profiles in response to ampicillin, which indicated that SESI-MS/MS could also be used for antibiotic treatment response monitoring in future studies. This study showed that SESI-MS/MS VOC analysis provides an additional approach to the bacterial metabolome detection complementary to traditional aqueous phase metabolite analysis. To the best of our knowledge, this was the first time that SESI-MS/MS was applied to investigate the bacterial metabolic perturbations caused by antibiotic treatment.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>30240565</pmid><doi>10.1021/acs.analchem.8b03029</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-4548-8949</orcidid></addata></record> |
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subjects | Amino acids Ampicillin Antibiotic resistance Antibiotics Bacteria Chemistry Discriminant analysis Drug resistance Electrospraying Headspace Headspace volatiles Ionization Mass spectrometry Mass spectroscopy Metabolomics Methicillin Monitoring Organic acids Organic compounds Spectroscopy Staphylococcus aureus Staphylococcus infections Strains (organisms) VOCs Volatile organic compounds |
title | Differentiating Antibiotic-Resistant Staphylococcus aureus Using Secondary Electrospray Ionization Tandem Mass Spectrometry |
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