Real-time mass spectrometric identification of metabolites characteristic of chronic obstructive pulmonary disease in exhaled breath

New mass spectrometry (MS) techniques analysing exhaled breath have the potential to better define airway diseases. Here, we present our work to profile the volatile organic compounds (VOCs) in exhaled breath from patients with chronic obstructive pulmonary disease (COPD), using real-time MS, and re...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Clinical mass spectrometry (Del Mar, Calif.) Calif.), 2018-01, Vol.7, p.29-35
Hauptverfasser: Bregy, Lukas, Nussbaumer-Ochsner, Yvonne, Martinez-Lozano Sinues, Pablo, García-Gómez, Diego, Suter, Yannick, Gaisl, Thomas, Stebler, Nina, Gaugg, Martin Thomas, Kohler, Malcolm, Zenobi, Renato
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 35
container_issue
container_start_page 29
container_title Clinical mass spectrometry (Del Mar, Calif.)
container_volume 7
creator Bregy, Lukas
Nussbaumer-Ochsner, Yvonne
Martinez-Lozano Sinues, Pablo
García-Gómez, Diego
Suter, Yannick
Gaisl, Thomas
Stebler, Nina
Gaugg, Martin Thomas
Kohler, Malcolm
Zenobi, Renato
description New mass spectrometry (MS) techniques analysing exhaled breath have the potential to better define airway diseases. Here, we present our work to profile the volatile organic compounds (VOCs) in exhaled breath from patients with chronic obstructive pulmonary disease (COPD), using real-time MS, and relate this disease-specific breath profile to functional disease markers. In a matched cohort study, patients with COPD, according to GOLD criteria, were recruited. Exhaled breath analysis by untargeted MS was performed using secondary electrospray ionization - high-resolution MS (SESI-HRMS). Exhaled breath from 22 patients with COPD (mean age 58.6 ± 6.9 years, FEV 58.5 ± 19.9% predicted, 32.4 ± 19.2 pack years smoking) and 14 controls (mean age 58.1 ± 8.1 years, FEV 102.5 ± 11.3% predicted, 23.6 ± 12.5 pack years smoking) was analysed using SESI-HRMS. From 1441 different features, 43 markers were identified that allowed discrimination between the two groups with an accuracy of 89% (CI 74-97%), a sensitivity of 93%, and a specificity of 86%. The markers were determined to be metabolites of oxidative stress processes, such as fatty acids, aldehydes and amino acids, resulting from lung muscle degradation. Real-time breath analysis by SESI-MS allows molecular profiling of exhaled breath, can distinguish patients with COPD from matched healthy controls and provides insights into the disease pathogenesis.
doi_str_mv 10.1016/j.clinms.2018.02.003
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11322756</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3097852222</sourcerecordid><originalsourceid>FETCH-LOGICAL-c409t-fd1fba6fe09765b32836153cba1a314bbd99562d7133c62f27748dc7b22f1cb33</originalsourceid><addsrcrecordid>eNpVkUuLFTEQhYMozjDOPxDJ0k23efQrK5HBFwwIoutQSVfsXNKda5IedO8PN5c7DmM2KTinTk74CHnJWcsZH94cWhv8tuZWMD61TLSMySfkUshxaJRS09NH8wW5zvnAGONjJ7jiz8mFVFzJvu8vyZ-vCKEpfkW6Qs40H9GWFFcsyVvqZ9yKd95C8XGj0dEqgInBF8zULpDAFkw-l2quql1S3E6jySXttvg7pMc9rHGD9JvOPiNkpH6j-GuBgDM1CaEsL8gzByHj9f19Rb5_eP_t5lNz--Xj55t3t43tmCqNm7kzMDhkahx6I8UkB95La4CD5J0xs1L9IOaRS2kH4cQ4dtNsRyOE49ZIeUXennOPu1lxtvVzCYI-Jr_WfjqC1_8rm1_0j3inOZdCjP1QE17fJ6T4c8dc9OqzxRBgw7hnLWu1qRf1VGt3ttoUc07oHt7hTJ8g6oM-Q9QniJoJXSHWtVePOz4s_UMm_wJjJ59A</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3097852222</pqid></control><display><type>article</type><title>Real-time mass spectrometric identification of metabolites characteristic of chronic obstructive pulmonary disease in exhaled breath</title><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Bregy, Lukas ; Nussbaumer-Ochsner, Yvonne ; Martinez-Lozano Sinues, Pablo ; García-Gómez, Diego ; Suter, Yannick ; Gaisl, Thomas ; Stebler, Nina ; Gaugg, Martin Thomas ; Kohler, Malcolm ; Zenobi, Renato</creator><creatorcontrib>Bregy, Lukas ; Nussbaumer-Ochsner, Yvonne ; Martinez-Lozano Sinues, Pablo ; García-Gómez, Diego ; Suter, Yannick ; Gaisl, Thomas ; Stebler, Nina ; Gaugg, Martin Thomas ; Kohler, Malcolm ; Zenobi, Renato</creatorcontrib><description>New mass spectrometry (MS) techniques analysing exhaled breath have the potential to better define airway diseases. Here, we present our work to profile the volatile organic compounds (VOCs) in exhaled breath from patients with chronic obstructive pulmonary disease (COPD), using real-time MS, and relate this disease-specific breath profile to functional disease markers. In a matched cohort study, patients with COPD, according to GOLD criteria, were recruited. Exhaled breath analysis by untargeted MS was performed using secondary electrospray ionization - high-resolution MS (SESI-HRMS). Exhaled breath from 22 patients with COPD (mean age 58.6 ± 6.9 years, FEV 58.5 ± 19.9% predicted, 32.4 ± 19.2 pack years smoking) and 14 controls (mean age 58.1 ± 8.1 years, FEV 102.5 ± 11.3% predicted, 23.6 ± 12.5 pack years smoking) was analysed using SESI-HRMS. From 1441 different features, 43 markers were identified that allowed discrimination between the two groups with an accuracy of 89% (CI 74-97%), a sensitivity of 93%, and a specificity of 86%. The markers were determined to be metabolites of oxidative stress processes, such as fatty acids, aldehydes and amino acids, resulting from lung muscle degradation. Real-time breath analysis by SESI-MS allows molecular profiling of exhaled breath, can distinguish patients with COPD from matched healthy controls and provides insights into the disease pathogenesis.</description><identifier>ISSN: 2376-9998</identifier><identifier>ISSN: 2213-8005</identifier><identifier>EISSN: 2376-9998</identifier><identifier>DOI: 10.1016/j.clinms.2018.02.003</identifier><identifier>PMID: 39193555</identifier><language>eng</language><publisher>Netherlands: Elsevier</publisher><ispartof>Clinical mass spectrometry (Del Mar, Calif.), 2018-01, Vol.7, p.29-35</ispartof><rights>2018 The Association for Mass Spectrometry: Applications to the Clinical Lab (MSACL). Published by Elsevier B.V.</rights><rights>2018 The Association for Mass Spectrometry: Applications to the Clinical Lab (MSACL). Published by Elsevier B.V. 2018 The Association for Mass Spectrometry: Applications to the Clinical Lab (MSACL)</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-fd1fba6fe09765b32836153cba1a314bbd99562d7133c62f27748dc7b22f1cb33</citedby><cites>FETCH-LOGICAL-c409t-fd1fba6fe09765b32836153cba1a314bbd99562d7133c62f27748dc7b22f1cb33</cites><orcidid>0000-0001-5602-2880</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/PMC11322756/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11322756/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39193555$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bregy, Lukas</creatorcontrib><creatorcontrib>Nussbaumer-Ochsner, Yvonne</creatorcontrib><creatorcontrib>Martinez-Lozano Sinues, Pablo</creatorcontrib><creatorcontrib>García-Gómez, Diego</creatorcontrib><creatorcontrib>Suter, Yannick</creatorcontrib><creatorcontrib>Gaisl, Thomas</creatorcontrib><creatorcontrib>Stebler, Nina</creatorcontrib><creatorcontrib>Gaugg, Martin Thomas</creatorcontrib><creatorcontrib>Kohler, Malcolm</creatorcontrib><creatorcontrib>Zenobi, Renato</creatorcontrib><title>Real-time mass spectrometric identification of metabolites characteristic of chronic obstructive pulmonary disease in exhaled breath</title><title>Clinical mass spectrometry (Del Mar, Calif.)</title><addtitle>Clin Mass Spectrom</addtitle><description>New mass spectrometry (MS) techniques analysing exhaled breath have the potential to better define airway diseases. Here, we present our work to profile the volatile organic compounds (VOCs) in exhaled breath from patients with chronic obstructive pulmonary disease (COPD), using real-time MS, and relate this disease-specific breath profile to functional disease markers. In a matched cohort study, patients with COPD, according to GOLD criteria, were recruited. Exhaled breath analysis by untargeted MS was performed using secondary electrospray ionization - high-resolution MS (SESI-HRMS). Exhaled breath from 22 patients with COPD (mean age 58.6 ± 6.9 years, FEV 58.5 ± 19.9% predicted, 32.4 ± 19.2 pack years smoking) and 14 controls (mean age 58.1 ± 8.1 years, FEV 102.5 ± 11.3% predicted, 23.6 ± 12.5 pack years smoking) was analysed using SESI-HRMS. From 1441 different features, 43 markers were identified that allowed discrimination between the two groups with an accuracy of 89% (CI 74-97%), a sensitivity of 93%, and a specificity of 86%. The markers were determined to be metabolites of oxidative stress processes, such as fatty acids, aldehydes and amino acids, resulting from lung muscle degradation. Real-time breath analysis by SESI-MS allows molecular profiling of exhaled breath, can distinguish patients with COPD from matched healthy controls and provides insights into the disease pathogenesis.</description><issn>2376-9998</issn><issn>2213-8005</issn><issn>2376-9998</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNpVkUuLFTEQhYMozjDOPxDJ0k23efQrK5HBFwwIoutQSVfsXNKda5IedO8PN5c7DmM2KTinTk74CHnJWcsZH94cWhv8tuZWMD61TLSMySfkUshxaJRS09NH8wW5zvnAGONjJ7jiz8mFVFzJvu8vyZ-vCKEpfkW6Qs40H9GWFFcsyVvqZ9yKd95C8XGj0dEqgInBF8zULpDAFkw-l2quql1S3E6jySXttvg7pMc9rHGD9JvOPiNkpH6j-GuBgDM1CaEsL8gzByHj9f19Rb5_eP_t5lNz--Xj55t3t43tmCqNm7kzMDhkahx6I8UkB95La4CD5J0xs1L9IOaRS2kH4cQ4dtNsRyOE49ZIeUXennOPu1lxtvVzCYI-Jr_WfjqC1_8rm1_0j3inOZdCjP1QE17fJ6T4c8dc9OqzxRBgw7hnLWu1qRf1VGt3ttoUc07oHt7hTJ8g6oM-Q9QniJoJXSHWtVePOz4s_UMm_wJjJ59A</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Bregy, Lukas</creator><creator>Nussbaumer-Ochsner, Yvonne</creator><creator>Martinez-Lozano Sinues, Pablo</creator><creator>García-Gómez, Diego</creator><creator>Suter, Yannick</creator><creator>Gaisl, Thomas</creator><creator>Stebler, Nina</creator><creator>Gaugg, Martin Thomas</creator><creator>Kohler, Malcolm</creator><creator>Zenobi, Renato</creator><general>Elsevier</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5602-2880</orcidid></search><sort><creationdate>20180101</creationdate><title>Real-time mass spectrometric identification of metabolites characteristic of chronic obstructive pulmonary disease in exhaled breath</title><author>Bregy, Lukas ; Nussbaumer-Ochsner, Yvonne ; Martinez-Lozano Sinues, Pablo ; García-Gómez, Diego ; Suter, Yannick ; Gaisl, Thomas ; Stebler, Nina ; Gaugg, Martin Thomas ; Kohler, Malcolm ; Zenobi, Renato</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-fd1fba6fe09765b32836153cba1a314bbd99562d7133c62f27748dc7b22f1cb33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Bregy, Lukas</creatorcontrib><creatorcontrib>Nussbaumer-Ochsner, Yvonne</creatorcontrib><creatorcontrib>Martinez-Lozano Sinues, Pablo</creatorcontrib><creatorcontrib>García-Gómez, Diego</creatorcontrib><creatorcontrib>Suter, Yannick</creatorcontrib><creatorcontrib>Gaisl, Thomas</creatorcontrib><creatorcontrib>Stebler, Nina</creatorcontrib><creatorcontrib>Gaugg, Martin Thomas</creatorcontrib><creatorcontrib>Kohler, Malcolm</creatorcontrib><creatorcontrib>Zenobi, Renato</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical mass spectrometry (Del Mar, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bregy, Lukas</au><au>Nussbaumer-Ochsner, Yvonne</au><au>Martinez-Lozano Sinues, Pablo</au><au>García-Gómez, Diego</au><au>Suter, Yannick</au><au>Gaisl, Thomas</au><au>Stebler, Nina</au><au>Gaugg, Martin Thomas</au><au>Kohler, Malcolm</au><au>Zenobi, Renato</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Real-time mass spectrometric identification of metabolites characteristic of chronic obstructive pulmonary disease in exhaled breath</atitle><jtitle>Clinical mass spectrometry (Del Mar, Calif.)</jtitle><addtitle>Clin Mass Spectrom</addtitle><date>2018-01-01</date><risdate>2018</risdate><volume>7</volume><spage>29</spage><epage>35</epage><pages>29-35</pages><issn>2376-9998</issn><issn>2213-8005</issn><eissn>2376-9998</eissn><abstract>New mass spectrometry (MS) techniques analysing exhaled breath have the potential to better define airway diseases. Here, we present our work to profile the volatile organic compounds (VOCs) in exhaled breath from patients with chronic obstructive pulmonary disease (COPD), using real-time MS, and relate this disease-specific breath profile to functional disease markers. In a matched cohort study, patients with COPD, according to GOLD criteria, were recruited. Exhaled breath analysis by untargeted MS was performed using secondary electrospray ionization - high-resolution MS (SESI-HRMS). Exhaled breath from 22 patients with COPD (mean age 58.6 ± 6.9 years, FEV 58.5 ± 19.9% predicted, 32.4 ± 19.2 pack years smoking) and 14 controls (mean age 58.1 ± 8.1 years, FEV 102.5 ± 11.3% predicted, 23.6 ± 12.5 pack years smoking) was analysed using SESI-HRMS. From 1441 different features, 43 markers were identified that allowed discrimination between the two groups with an accuracy of 89% (CI 74-97%), a sensitivity of 93%, and a specificity of 86%. The markers were determined to be metabolites of oxidative stress processes, such as fatty acids, aldehydes and amino acids, resulting from lung muscle degradation. Real-time breath analysis by SESI-MS allows molecular profiling of exhaled breath, can distinguish patients with COPD from matched healthy controls and provides insights into the disease pathogenesis.</abstract><cop>Netherlands</cop><pub>Elsevier</pub><pmid>39193555</pmid><doi>10.1016/j.clinms.2018.02.003</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5602-2880</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2376-9998
ispartof Clinical mass spectrometry (Del Mar, Calif.), 2018-01, Vol.7, p.29-35
issn 2376-9998
2213-8005
2376-9998
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11322756
source EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection
title Real-time mass spectrometric identification of metabolites characteristic of chronic obstructive pulmonary disease in exhaled breath
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T17%3A07%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Real-time%20mass%20spectrometric%20identification%20of%20metabolites%20characteristic%20of%20chronic%20obstructive%20pulmonary%20disease%20in%20exhaled%20breath&rft.jtitle=Clinical%20mass%20spectrometry%20(Del%20Mar,%20Calif.)&rft.au=Bregy,%20Lukas&rft.date=2018-01-01&rft.volume=7&rft.spage=29&rft.epage=35&rft.pages=29-35&rft.issn=2376-9998&rft.eissn=2376-9998&rft_id=info:doi/10.1016/j.clinms.2018.02.003&rft_dat=%3Cproquest_pubme%3E3097852222%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3097852222&rft_id=info:pmid/39193555&rfr_iscdi=true