VOC fingerprints: metabolomic signatures of biothreat agents with and without antibiotic resistance
Category A and B biothreat agents are deemed to be of great concern by the US Centers for Disease Control and Prevention (CDC) and include the bacteria Francisella tularensis , Yersinia pestis , Burkholderia mallei , and Brucella species. Underscored by the impact of the 2020 SARS-CoV-2 outbreak, 20...
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description | Category A and B biothreat agents are deemed to be of great concern by the US Centers for Disease Control and Prevention (CDC) and include the bacteria
Francisella tularensis
,
Yersinia pestis
,
Burkholderia mallei
, and
Brucella
species. Underscored by the impact of the 2020 SARS-CoV-2 outbreak, 2016 Zika pandemic, 2014 Ebola outbreak, 2001 anthrax letter attacks, and 1984 Rajneeshee
Salmonella
attacks, the threat of future epidemics/pandemics and/or terrorist/criminal use of pathogenic organisms warrants continued exploration and development of both classic and alternative methods of detecting biothreat agents. Volatile organic compounds (VOCs) comprise a large and highly diverse group of carbon-based molecules, generally related by their volatility at ambient temperature. Recently, the diagnostic potential of VOCs has been realized, as correlations between the microbial VOC metabolome and specific bacterial pathogens have been identified. Herein, we describe the use of microbial VOC profiles as fingerprints for the identification of biothreat-relevant microbes, and for differentiating between a kanamycin susceptible and resistant strain. Additionally, we demonstrate microbial VOC profiling using a rapid-throughput VOC metabolomics method we refer to as ‘simultaneous multifiber headspace solid-phase microextraction’ (simulti-hSPME). Finally, through VOC analysis, we illustrate a rapid non-invasive approach to the diagnosis of BALB/c mice infected with either
F. tularensis
SCHU S4 or
Y. pestis
CO92. |
doi_str_mv | 10.1038/s41598-020-68622-x |
format | Article |
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Francisella tularensis
,
Yersinia pestis
,
Burkholderia mallei
, and
Brucella
species. Underscored by the impact of the 2020 SARS-CoV-2 outbreak, 2016 Zika pandemic, 2014 Ebola outbreak, 2001 anthrax letter attacks, and 1984 Rajneeshee
Salmonella
attacks, the threat of future epidemics/pandemics and/or terrorist/criminal use of pathogenic organisms warrants continued exploration and development of both classic and alternative methods of detecting biothreat agents. Volatile organic compounds (VOCs) comprise a large and highly diverse group of carbon-based molecules, generally related by their volatility at ambient temperature. Recently, the diagnostic potential of VOCs has been realized, as correlations between the microbial VOC metabolome and specific bacterial pathogens have been identified. Herein, we describe the use of microbial VOC profiles as fingerprints for the identification of biothreat-relevant microbes, and for differentiating between a kanamycin susceptible and resistant strain. Additionally, we demonstrate microbial VOC profiling using a rapid-throughput VOC metabolomics method we refer to as ‘simultaneous multifiber headspace solid-phase microextraction’ (simulti-hSPME). Finally, through VOC analysis, we illustrate a rapid non-invasive approach to the diagnosis of BALB/c mice infected with either
F. tularensis
SCHU S4 or
Y. pestis
CO92.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-68622-x</identifier><identifier>PMID: 32678173</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/1647/320 ; 631/45/320 ; Ambient temperature ; Animals ; Anthrax ; Antibiotic resistance ; Betacoronavirus - isolation & purification ; Coronavirus Infections - epidemiology ; Coronavirus Infections - metabolism ; Coronavirus Infections - virology ; COVID-19 ; Disease Outbreaks ; Drug Resistance, Microbial - drug effects ; Drug Resistance, Microbial - genetics ; Epidemics ; Female ; Francisella tularensis - drug effects ; Francisella tularensis - isolation & purification ; Francisella tularensis - metabolism ; Headspace ; Humanities and Social Sciences ; Kanamycin ; Kanamycin - pharmacology ; Metabolomics ; Metabolomics - methods ; Mice ; Mice, Inbred BALB C ; multidisciplinary ; Organic compounds ; Outbreaks ; Pandemics ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - metabolism ; Pneumonia, Viral - virology ; Public health ; SARS-CoV-2 ; Science ; Science (multidisciplinary) ; Severe acute respiratory syndrome coronavirus 2 ; Solid phase methods ; Solid Phase Microextraction ; Tularemia - metabolism ; Tularemia - microbiology ; Tularemia - pathology ; Tularemia - veterinary ; Vector-borne diseases ; VOCs ; Volatile organic compounds ; Volatile Organic Compounds - analysis ; Volatile Organic Compounds - isolation & purification ; Volatile Organic Compounds - metabolism ; Yersinia pestis - drug effects ; Yersinia pestis - isolation & purification ; Yersinia pestis - metabolism</subject><ispartof>Scientific reports, 2020-07, Vol.10 (1), p.11746-11746, Article 11746</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c511t-eb2a313c99587f2462cf828ff8bcf5c98747fcab4ee6f78a8b51ff8b91af46cb3</citedby><cites>FETCH-LOGICAL-c511t-eb2a313c99587f2462cf828ff8bcf5c98747fcab4ee6f78a8b51ff8b91af46cb3</cites><orcidid>0000-0001-6055-576X ; 0000-0001-7122-0164</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367350/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367350/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,27905,27906,41101,42170,51557,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32678173$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dailey, Allyson</creatorcontrib><creatorcontrib>Saha, Jessica</creatorcontrib><creatorcontrib>Zaidi, Fatima</creatorcontrib><creatorcontrib>Abdirahman, Hafsa</creatorcontrib><creatorcontrib>Haymond, Amanda</creatorcontrib><creatorcontrib>Alem, Farhang</creatorcontrib><creatorcontrib>Hakami, Ramin</creatorcontrib><creatorcontrib>Couch, Robin</creatorcontrib><title>VOC fingerprints: metabolomic signatures of biothreat agents with and without antibiotic resistance</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Category A and B biothreat agents are deemed to be of great concern by the US Centers for Disease Control and Prevention (CDC) and include the bacteria
Francisella tularensis
,
Yersinia pestis
,
Burkholderia mallei
, and
Brucella
species. Underscored by the impact of the 2020 SARS-CoV-2 outbreak, 2016 Zika pandemic, 2014 Ebola outbreak, 2001 anthrax letter attacks, and 1984 Rajneeshee
Salmonella
attacks, the threat of future epidemics/pandemics and/or terrorist/criminal use of pathogenic organisms warrants continued exploration and development of both classic and alternative methods of detecting biothreat agents. Volatile organic compounds (VOCs) comprise a large and highly diverse group of carbon-based molecules, generally related by their volatility at ambient temperature. Recently, the diagnostic potential of VOCs has been realized, as correlations between the microbial VOC metabolome and specific bacterial pathogens have been identified. Herein, we describe the use of microbial VOC profiles as fingerprints for the identification of biothreat-relevant microbes, and for differentiating between a kanamycin susceptible and resistant strain. Additionally, we demonstrate microbial VOC profiling using a rapid-throughput VOC metabolomics method we refer to as ‘simultaneous multifiber headspace solid-phase microextraction’ (simulti-hSPME). Finally, through VOC analysis, we illustrate a rapid non-invasive approach to the diagnosis of BALB/c mice infected with either
F. tularensis
SCHU S4 or
Y. pestis
CO92.</description><subject>631/1647/320</subject><subject>631/45/320</subject><subject>Ambient temperature</subject><subject>Animals</subject><subject>Anthrax</subject><subject>Antibiotic resistance</subject><subject>Betacoronavirus - isolation & purification</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - metabolism</subject><subject>Coronavirus Infections - virology</subject><subject>COVID-19</subject><subject>Disease Outbreaks</subject><subject>Drug Resistance, Microbial - drug effects</subject><subject>Drug Resistance, Microbial - genetics</subject><subject>Epidemics</subject><subject>Female</subject><subject>Francisella tularensis - drug effects</subject><subject>Francisella tularensis - isolation & purification</subject><subject>Francisella tularensis - metabolism</subject><subject>Headspace</subject><subject>Humanities and Social Sciences</subject><subject>Kanamycin</subject><subject>Kanamycin - pharmacology</subject><subject>Metabolomics</subject><subject>Metabolomics - 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isolation & purification</subject><subject>Volatile Organic Compounds - metabolism</subject><subject>Yersinia pestis - drug effects</subject><subject>Yersinia pestis - isolation & purification</subject><subject>Yersinia pestis - metabolism</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><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>eNp9kUtv3CAUhVHVqIkm-QNdVJa66caJuYCNs6hUjZqHNFI2SbYIMzBDZEMCuE3_ffDM5LkoG6643zncq4PQV1wd44rwk0gxa3lZQVXWvAYoHz-hA6goK4EAfH5T76OjGO-qfBi0FLdf0D6BuuG4IQdI3V7NC2PdSof7YF2Kp8Wgk-x87werimhXTqYx6Fh4U3TWp3XQMhVypTNb_LVpXUi33BR-zO8u2YnK0qyxMUmn9CHaM7KP-mh3z9DN2e_r-UW5uDq_nP9alIphnErdgSSYqLZlvDFAa1CGAzeGd8ow1fKGNkbJjmpdm4ZL3jE8NVssDa1VR2bo59b3fuwGvVR5xCB7kfcaZPgnvLTifcfZtVj5P6IhdUNYlQ1-7AyCfxh1TGKwUem-l077MQqgQPN0NWYZ_f4BvfNjcHm9DUUowTAZwpZSwccYtHkZBldiilFsYxQ5RrGJUTxm0be3a7xInkPLANkCcYosJ_f6939snwBgbawF</recordid><startdate>20200716</startdate><enddate>20200716</enddate><creator>Dailey, Allyson</creator><creator>Saha, Jessica</creator><creator>Zaidi, Fatima</creator><creator>Abdirahman, Hafsa</creator><creator>Haymond, Amanda</creator><creator>Alem, Farhang</creator><creator>Hakami, Ramin</creator><creator>Couch, Robin</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</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>CCPQU</scope><scope>DWQXO</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>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6055-576X</orcidid><orcidid>https://orcid.org/0000-0001-7122-0164</orcidid></search><sort><creationdate>20200716</creationdate><title>VOC fingerprints: metabolomic signatures of biothreat agents with and without antibiotic resistance</title><author>Dailey, Allyson ; Saha, Jessica ; Zaidi, Fatima ; Abdirahman, Hafsa ; Haymond, Amanda ; Alem, Farhang ; Hakami, Ramin ; Couch, Robin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c511t-eb2a313c99587f2462cf828ff8bcf5c98747fcab4ee6f78a8b51ff8b91af46cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>631/1647/320</topic><topic>631/45/320</topic><topic>Ambient temperature</topic><topic>Animals</topic><topic>Anthrax</topic><topic>Antibiotic resistance</topic><topic>Betacoronavirus - isolation & purification</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Coronavirus Infections - metabolism</topic><topic>Coronavirus Infections - virology</topic><topic>COVID-19</topic><topic>Disease Outbreaks</topic><topic>Drug Resistance, Microbial - drug effects</topic><topic>Drug Resistance, Microbial - genetics</topic><topic>Epidemics</topic><topic>Female</topic><topic>Francisella tularensis - drug effects</topic><topic>Francisella tularensis - isolation & purification</topic><topic>Francisella tularensis - metabolism</topic><topic>Headspace</topic><topic>Humanities and Social Sciences</topic><topic>Kanamycin</topic><topic>Kanamycin - pharmacology</topic><topic>Metabolomics</topic><topic>Metabolomics - methods</topic><topic>Mice</topic><topic>Mice, Inbred BALB C</topic><topic>multidisciplinary</topic><topic>Organic compounds</topic><topic>Outbreaks</topic><topic>Pandemics</topic><topic>Pneumonia, Viral - epidemiology</topic><topic>Pneumonia, Viral - metabolism</topic><topic>Pneumonia, Viral - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dailey, Allyson</au><au>Saha, Jessica</au><au>Zaidi, Fatima</au><au>Abdirahman, Hafsa</au><au>Haymond, Amanda</au><au>Alem, Farhang</au><au>Hakami, Ramin</au><au>Couch, Robin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>VOC fingerprints: metabolomic signatures of biothreat agents with and without antibiotic resistance</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-07-16</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>11746</spage><epage>11746</epage><pages>11746-11746</pages><artnum>11746</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Category A and B biothreat agents are deemed to be of great concern by the US Centers for Disease Control and Prevention (CDC) and include the bacteria
Francisella tularensis
,
Yersinia pestis
,
Burkholderia mallei
, and
Brucella
species. Underscored by the impact of the 2020 SARS-CoV-2 outbreak, 2016 Zika pandemic, 2014 Ebola outbreak, 2001 anthrax letter attacks, and 1984 Rajneeshee
Salmonella
attacks, the threat of future epidemics/pandemics and/or terrorist/criminal use of pathogenic organisms warrants continued exploration and development of both classic and alternative methods of detecting biothreat agents. Volatile organic compounds (VOCs) comprise a large and highly diverse group of carbon-based molecules, generally related by their volatility at ambient temperature. Recently, the diagnostic potential of VOCs has been realized, as correlations between the microbial VOC metabolome and specific bacterial pathogens have been identified. Herein, we describe the use of microbial VOC profiles as fingerprints for the identification of biothreat-relevant microbes, and for differentiating between a kanamycin susceptible and resistant strain. Additionally, we demonstrate microbial VOC profiling using a rapid-throughput VOC metabolomics method we refer to as ‘simultaneous multifiber headspace solid-phase microextraction’ (simulti-hSPME). Finally, through VOC analysis, we illustrate a rapid non-invasive approach to the diagnosis of BALB/c mice infected with either
F. tularensis
SCHU S4 or
Y. pestis
CO92.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32678173</pmid><doi>10.1038/s41598-020-68622-x</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-6055-576X</orcidid><orcidid>https://orcid.org/0000-0001-7122-0164</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Springer Nature OA Free Journals; Nature Free; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
subjects | 631/1647/320 631/45/320 Ambient temperature Animals Anthrax Antibiotic resistance Betacoronavirus - isolation & purification Coronavirus Infections - epidemiology Coronavirus Infections - metabolism Coronavirus Infections - virology COVID-19 Disease Outbreaks Drug Resistance, Microbial - drug effects Drug Resistance, Microbial - genetics Epidemics Female Francisella tularensis - drug effects Francisella tularensis - isolation & purification Francisella tularensis - metabolism Headspace Humanities and Social Sciences Kanamycin Kanamycin - pharmacology Metabolomics Metabolomics - methods Mice Mice, Inbred BALB C multidisciplinary Organic compounds Outbreaks Pandemics Pneumonia, Viral - epidemiology Pneumonia, Viral - metabolism Pneumonia, Viral - virology Public health SARS-CoV-2 Science Science (multidisciplinary) Severe acute respiratory syndrome coronavirus 2 Solid phase methods Solid Phase Microextraction Tularemia - metabolism Tularemia - microbiology Tularemia - pathology Tularemia - veterinary Vector-borne diseases VOCs Volatile organic compounds Volatile Organic Compounds - analysis Volatile Organic Compounds - isolation & purification Volatile Organic Compounds - metabolism Yersinia pestis - drug effects Yersinia pestis - isolation & purification Yersinia pestis - metabolism |
title | VOC fingerprints: metabolomic signatures of biothreat agents with and without antibiotic resistance |
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