Exhaled Volatile Organic Compounds Are Able to Discriminate between Neutrophilic and Eosinophilic Asthma
Analysis of exhaled breath for asthma phenotyping using endogenously generated volatile organic compounds (VOCs) offers the possibility of noninvasive diagnosis and therapeutic monitoring. Induced sputum is indeed not widely available and markers of neutrophilic asthma are still lacking. To determin...
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Published in | American journal of respiratory and critical care medicine Vol. 200; no. 4; pp. 444 - 453 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article Web Resource |
Language | English |
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United States
American Thoracic Society
15.08.2019
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Abstract | Analysis of exhaled breath for asthma phenotyping using endogenously generated volatile organic compounds (VOCs) offers the possibility of noninvasive diagnosis and therapeutic monitoring. Induced sputum is indeed not widely available and markers of neutrophilic asthma are still lacking.
To determine whether analysis of exhaled breath using endogenously generated VOCs can be a surrogate marker for recognition of sputum inflammatory phenotypes.
We conducted a prospective study on 521 patients with asthma recruited from the University Asthma Clinic of Liege. Patients underwent VOC measurement, fraction of exhaled nitric oxide (Fe
) spirometry, sputum induction, and gave a blood sample. Subjects with asthma were classified in three inflammatory phenotypes according to their sputum granulocytic cell count.
In the discovery study, seven potential biomarkers were highlighted by gas chromatography-mass spectrometry in a training cohort of 276 patients with asthma. In the replication study (
= 245), we confirmed four VOCs of interest to discriminate among asthma inflammatory phenotypes using comprehensive two-dimensional gas chromatography coupled to high-resolution time-of-flight mass spectrometry. Hexane and 2-hexanone were identified as compounds with the highest classification performance in eosinophilic asthma with accuracy comparable to that of blood eosinophils and Fe
. Moreover, the combination of Fe
, blood eosinophils, and VOCs gave a very good prediction of eosinophilic asthma (area under the receiver operating characteristic curve, 0.9). For neutrophilic asthma, the combination of nonanal, 1-propanol, and hexane had a classification performance similar to Fe
or blood eosinophils in eosinophilic asthma. Those compounds were found in higher levels in neutrophilic asthma.
Our study is the first attempt to characterize VOCs according to sputum granulocytic profile in a large population of patients with asthma and provide surrogate markers for neutrophilic asthma. |
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AbstractList | Rationale: Analysis of exhaled breath for asthma phenotyping using endogenously generated volatile organic compounds (VOCs) offers the possibility of noninvasive diagnosis and therapeutic monitoring. Induced sputum is indeed not widely available and markers of neutrophilic asthma are still lacking.Objectives: To determine whether analysis of exhaled breath using endogenously generated VOCs can be a surrogate marker for recognition of sputum inflammatory phenotypes.Methods: We conducted a prospective study on 521 patients with asthma recruited from the University Asthma Clinic of Liege. Patients underwent VOC measurement, fraction of exhaled nitric oxide (FeNO) spirometry, sputum induction, and gave a blood sample. Subjects with asthma were classified in three inflammatory phenotypes according to their sputum granulocytic cell count.Measurements and Main Results: In the discovery study, seven potential biomarkers were highlighted by gas chromatography-mass spectrometry in a training cohort of 276 patients with asthma. In the replication study (n = 245), we confirmed four VOCs of interest to discriminate among asthma inflammatory phenotypes using comprehensive two-dimensional gas chromatography coupled to high-resolution time-of-flight mass spectrometry. Hexane and 2-hexanone were identified as compounds with the highest classification performance in eosinophilic asthma with accuracy comparable to that of blood eosinophils and FeNO. Moreover, the combination of FeNO, blood eosinophils, and VOCs gave a very good prediction of eosinophilic asthma (area under the receiver operating characteristic curve, 0.9). For neutrophilic asthma, the combination of nonanal, 1-propanol, and hexane had a classification performance similar to FeNO or blood eosinophils in eosinophilic asthma. Those compounds were found in higher levels in neutrophilic asthma.Conclusions: Our study is the first attempt to characterize VOCs according to sputum granulocytic profile in a large population of patients with asthma and provide surrogate markers for neutrophilic asthma.Rationale: Analysis of exhaled breath for asthma phenotyping using endogenously generated volatile organic compounds (VOCs) offers the possibility of noninvasive diagnosis and therapeutic monitoring. Induced sputum is indeed not widely available and markers of neutrophilic asthma are still lacking.Objectives: To determine whether analysis of exhaled breath using endogenously generated VOCs can be a surrogate marker for recognition of sputum inflammatory phenotypes.Methods: We conducted a prospective study on 521 patients with asthma recruited from the University Asthma Clinic of Liege. Patients underwent VOC measurement, fraction of exhaled nitric oxide (FeNO) spirometry, sputum induction, and gave a blood sample. Subjects with asthma were classified in three inflammatory phenotypes according to their sputum granulocytic cell count.Measurements and Main Results: In the discovery study, seven potential biomarkers were highlighted by gas chromatography-mass spectrometry in a training cohort of 276 patients with asthma. In the replication study (n = 245), we confirmed four VOCs of interest to discriminate among asthma inflammatory phenotypes using comprehensive two-dimensional gas chromatography coupled to high-resolution time-of-flight mass spectrometry. Hexane and 2-hexanone were identified as compounds with the highest classification performance in eosinophilic asthma with accuracy comparable to that of blood eosinophils and FeNO. Moreover, the combination of FeNO, blood eosinophils, and VOCs gave a very good prediction of eosinophilic asthma (area under the receiver operating characteristic curve, 0.9). For neutrophilic asthma, the combination of nonanal, 1-propanol, and hexane had a classification performance similar to FeNO or blood eosinophils in eosinophilic asthma. Those compounds were found in higher levels in neutrophilic asthma.Conclusions: Our study is the first attempt to characterize VOCs according to sputum granulocytic profile in a large population of patients with asthma and provide surrogate markers for neutrophilic asthma. Analysis of exhaled breath for asthma phenotyping using endogenously generated volatile organic compounds (VOCs) offers the possibility of noninvasive diagnosis and therapeutic monitoring. Induced sputum is indeed not widely available and markers of neutrophilic asthma are still lacking. To determine whether analysis of exhaled breath using endogenously generated VOCs can be a surrogate marker for recognition of sputum inflammatory phenotypes. We conducted a prospective study on 521 patients with asthma recruited from the University Asthma Clinic of Liege. Patients underwent VOC measurement, fraction of exhaled nitric oxide (Fe ) spirometry, sputum induction, and gave a blood sample. Subjects with asthma were classified in three inflammatory phenotypes according to their sputum granulocytic cell count. In the discovery study, seven potential biomarkers were highlighted by gas chromatography-mass spectrometry in a training cohort of 276 patients with asthma. In the replication study ( = 245), we confirmed four VOCs of interest to discriminate among asthma inflammatory phenotypes using comprehensive two-dimensional gas chromatography coupled to high-resolution time-of-flight mass spectrometry. Hexane and 2-hexanone were identified as compounds with the highest classification performance in eosinophilic asthma with accuracy comparable to that of blood eosinophils and Fe . Moreover, the combination of Fe , blood eosinophils, and VOCs gave a very good prediction of eosinophilic asthma (area under the receiver operating characteristic curve, 0.9). For neutrophilic asthma, the combination of nonanal, 1-propanol, and hexane had a classification performance similar to Fe or blood eosinophils in eosinophilic asthma. Those compounds were found in higher levels in neutrophilic asthma. Our study is the first attempt to characterize VOCs according to sputum granulocytic profile in a large population of patients with asthma and provide surrogate markers for neutrophilic asthma. Rationale: Analysis of exhaled breath for asthma phenotyping using endogenously generated volatile organic compounds (VOCs) offers the possibility of noninvasive diagnosis and therapeutic monitoring. Induced sputum is indeed not widely available and markers of neutrophilic asthma are still lacking. Objectives: To determine whether analysis of exhaled breath using endogenously generated VOCs can be a surrogate marker for recognition of sputum inflammatory phenotypes. Methods: We conducted a prospective study on 521 patients with asthma recruited from the University Asthma Clinic of Liege. Patients underwent VOC measurement, fraction of exhaled nitric oxide (FeNO) spirometry, sputum induction, and gave a blood sample. Subjects with asthma were classified in three inflammatory phenotypes according to their sputum granulocytic cell count. Measurements and Main Results: In the discovery study, seven potential biomarkers were highlighted by gas chromatography–mass spectrometry in a training cohort of 276 patients with asthma. In the replication study (n = 245), we confirmed four VOCs of interest to discriminate among asthma inflammatory phenotypes using comprehensive two-dimensional gas chromatography coupled to high-resolution time-of-flight mass spectrometry. Hexane and 2-hexanone were identified as compounds with the highest classification performance in eosinophilic asthma with accuracy comparable to that of blood eosinophils and FeNO. Moreover, the combination of FeNO, blood eosinophils, and VOCs gave a very good prediction of eosinophilic asthma (area under the receiver operating characteristic curve, 0.9). For neutrophilic asthma, the combination of nonanal, 1-propanol, and hexane had a classification performance similar to FeNO or blood eosinophils in eosinophilic asthma. Those compounds were found in higher levels in neutrophilic asthma. Conclusions: Our study is the first attempt to characterize VOCs according to sputum granulocytic profile in a large population of patients with asthma and provide surrogate markers for neutrophilic asthma. |
Author | Wouters, Emiel F. M. Schleich, Florence N. Guissard, Françoise Smolinska, Agnieska Van Steen, Kristel Stefanuto, Pierre-Hugues Zanella, Delphine Paulus, Virginie Henket, Monique van Schooten, Frederik-Jan Dallinga, Jan W. Moermans, Catherine Graff, Sophie Focant, Jean-François Bessonov, Kirill Louis, Renaud |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30973757$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1111/cea.12147 10.1186/1471-2407-11-226 10.1111/cea.13080 10.1136/thorax.57.10.875 10.1016/S0140-6736(17)31281-3 10.1378/chest.119.5.1329 10.1378/chest.09-1836 10.1136/thx.2010.156695 10.1016/j.molmed.2015.08.001 10.1111/j.1365-2222.2009.03343.x 10.1016/j.cca.2014.04.030 10.1111/j.1440-1843.2006.00784.x 10.1183/13993003.01817-2017 10.1021/ac051632c 10.1016/S0140-6736(99)01813-9 10.1088/1752-7155/10/1/016006 10.1186/1471-2466-13-11 10.1203/PDR.0b013e3181df4ea0 10.1164/rccm.200707-1134OC 10.1164/rccm.200906-0939OC 10.1016/j.jaci.2018.10.058 10.1136/bmjopen-2016-012799 10.1088/1752-7155/6/2/027108 10.5588/ijtld.11.0576 10.1093/ecco-jcc/jjv102 10.1016/j.arbr.2013.09.006 10.1186/s12890-016-0208-2 10.1136/thoraxjnl-2012-202698 10.1088/1752-7155/5/4/046008 10.1016/j.rmed.2009.10.018 10.1111/j.1472-8206.2007.00469.x 10.1183/09031936.00201813 10.1016/j.rmed.2013.03.011 10.1016/j.ccm.2012.05.004 10.1136/thx.2009.124925 |
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References | bib14 bib36 bib15 Buszewski B (bib34) 2011; 50 bib37 bib12 bib13 bib35 bib10 bib11 bib33 bib30 bib31 Louis R (bib32) 2011 bib29 bib27 bib28 Dallinga JW (bib22) 2010; 40 bib40 bib25 bib26 bib23 bib21 bib20 bib9 bib7 bib8 bib5 bib18 bib6 bib3 bib16 bib38 bib4 bib39 bib1 bib2 30995075 - Am J Respir Crit Care Med. 2019 Aug 15;200(4):405-406 |
References_xml | – ident: bib13 doi: 10.1111/cea.12147 – ident: bib35 doi: 10.1186/1471-2407-11-226 – ident: bib21 doi: 10.1111/cea.13080 – ident: bib1 doi: 10.1136/thorax.57.10.875 – ident: bib6 doi: 10.1016/S0140-6736(17)31281-3 – ident: bib33 doi: 10.1378/chest.119.5.1329 – ident: bib28 doi: 10.1378/chest.09-1836 – ident: bib31 doi: 10.1136/thx.2010.156695 – ident: bib11 doi: 10.1016/j.molmed.2015.08.001 – volume: 40 start-page: 68 year: 2010 ident: bib22 publication-title: Clin Exp Allergy doi: 10.1111/j.1365-2222.2009.03343.x – ident: bib37 doi: 10.1016/j.cca.2014.04.030 – ident: bib7 doi: 10.1111/j.1440-1843.2006.00784.x – ident: bib30 doi: 10.1183/13993003.01817-2017 – ident: bib20 doi: 10.1021/ac051632c – ident: bib2 doi: 10.1016/S0140-6736(99)01813-9 – ident: bib15 doi: 10.1088/1752-7155/10/1/016006 – ident: bib18 doi: 10.1186/1471-2466-13-11 – ident: bib9 doi: 10.1203/PDR.0b013e3181df4ea0 – ident: bib5 doi: 10.1164/rccm.200707-1134OC – ident: bib23 doi: 10.1164/rccm.200906-0939OC – volume: 50 start-page: 573 year: 2011 ident: bib34 publication-title: Clin Chem Lab Med – ident: bib29 doi: 10.1016/j.jaci.2018.10.058 – ident: bib16 doi: 10.1136/bmjopen-2016-012799 – ident: bib14 doi: 10.1088/1752-7155/6/2/027108 – ident: bib12 doi: 10.5588/ijtld.11.0576 – ident: bib36 doi: 10.1093/ecco-jcc/jjv102 – ident: bib38 doi: 10.1016/j.arbr.2013.09.006 – ident: bib39 doi: 10.1186/s12890-016-0208-2 – start-page: 113 volume-title: Non invasive assessment of airways inflammation in asthma and COPD year: 2011 ident: bib32 – ident: bib4 doi: 10.1136/thoraxjnl-2012-202698 – ident: bib27 doi: 10.1088/1752-7155/5/4/046008 – ident: bib10 doi: 10.1016/j.rmed.2009.10.018 – ident: bib26 doi: 10.1111/j.1472-8206.2007.00469.x – ident: bib40 doi: 10.1183/09031936.00201813 – ident: bib25 doi: 10.1016/j.rmed.2013.03.011 – ident: bib3 doi: 10.1016/j.ccm.2012.05.004 – ident: bib8 doi: 10.1136/thx.2009.124925 – reference: 30995075 - Am J Respir Crit Care Med. 2019 Aug 15;200(4):405-406 |
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Snippet | Analysis of exhaled breath for asthma phenotyping using endogenously generated volatile organic compounds (VOCs) offers the possibility of noninvasive... Rationale: Analysis of exhaled breath for asthma phenotyping using endogenously generated volatile organic compounds (VOCs) offers the possibility of... |
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SubjectTerms | Accuracy Adult Aged Asthma Asthma - classification Asthma - diagnosis Asthma - immunology Asthma - metabolism Biomarkers Breath Tests Cancer therapies Chromatography Chronic obstructive pulmonary disease Disease Eosinophilia - immunology Eosinophilia - metabolism Eosinophils Female GCxGC Genotype & phenotype Humans Identification Inflammation Life sciences Lung cancer Male Mass spectrometry Metabolism Metabolites Middle Aged Neutrophils Nitric Oxide - metabolism Population Prospective Studies Sciences du vivant Scientific imaging Spirometry Sputum - cytology Statistical analysis VOCs Volatile Organic Compounds |
Title | Exhaled Volatile Organic Compounds Are Able to Discriminate between Neutrophilic and Eosinophilic Asthma |
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