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Mustafina M, Silantyev A, Krasovskiy S, Chernyak A, Naumenko Z, Suvorov A, Gognieva D, Abdullaev M, Bektimirova A, Bykova A, Dergacheva V, Betelin V, Kopylov P. Exhaled breath analysis in adult patients with cystic fibrosis by real-time proton mass spectrometry. Clin Chim Acta 2024; 560:119733. [PMID: 38777246 DOI: 10.1016/j.cca.2024.119733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/07/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Proton-transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) is a promising tool for a rapid online determination of exhaled volatile organic compounds (eVOCs) profiles in patients with cystic fibrosis (CF). OBJECTIVE To detect VOC breath signatures specific to adult patients with CF compared with controls using PTR-TOF-MS. METHODS 102 CF patients (54 M/48, mean age 25.6 ± 7.8 yrs) and 97 healthy controls (56 M/41F, mean age 25.8 ± 6.0 yrs) were examined. Samples from normal quiet breathing and forced expiratory maneuvers were analyzed with PTR-TOF-MS (Ionicon, Austria) to obtain VOC profiles listed as ions at various mass-to-charge ratios (m/z). RESULTS PTR-TOF-MS analysis was able to detect 167 features in exhaled breath from CF patients and healthy controls. According to cluster analysis and LASSO regression, patients with CF and controls were separated. The most significant VOCs for CF were indole, phenol, dimethyl sulfide, and not indicated: m/z = 297.0720 ([C12H13N2O7 and C17H13O5]H + ), m/z = 281.0534 ([C19H7NO2, C12H11NO7 and C16H9O5]H + ) during five-fold cross-validation both in forced expiratory maneuver and in normal quiet breathing. CONCLUSION PTR-TOF-MS is a promising method for determining the molecular composition of exhaled air specific to CF.
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Affiliation(s)
- Malika Mustafina
- Department of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; Pulmonology Research Institute Under Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia; Research Institute for Systemic Analysis of the Russian Academy of Sciences, 117218 Moscow, Russia.
| | - Artemiy Silantyev
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
| | - Stanislav Krasovskiy
- Pulmonology Research Institute Under Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia
| | - Alexander Chernyak
- Pulmonology Research Institute Under Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia
| | - Zhanna Naumenko
- Pulmonology Research Institute Under Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia
| | - Aleksandr Suvorov
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
| | - Daria Gognieva
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; Research Institute for Systemic Analysis of the Russian Academy of Sciences, 117218 Moscow, Russia
| | - Magomed Abdullaev
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; Research Institute for Systemic Analysis of the Russian Academy of Sciences, 117218 Moscow, Russia
| | - Alina Bektimirova
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
| | - Aleksandra Bykova
- Department of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; Research Institute for Systemic Analysis of the Russian Academy of Sciences, 117218 Moscow, Russia
| | - Vasilisa Dergacheva
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
| | - Vladimir Betelin
- Research Institute for Systemic Analysis of the Russian Academy of Sciences, 117218 Moscow, Russia
| | - Philipp Kopylov
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia; Research Institute for Systemic Analysis of the Russian Academy of Sciences, 117218 Moscow, Russia
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2
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Żuchowska K, Filipiak W. Modern approaches for detection of volatile organic compounds in metabolic studies focusing on pathogenic bacteria: Current state of the art. J Pharm Anal 2024; 14:100898. [PMID: 38634063 PMCID: PMC11022102 DOI: 10.1016/j.jpha.2023.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/03/2023] [Accepted: 11/15/2023] [Indexed: 04/19/2024] Open
Abstract
Pathogenic microorganisms produce numerous metabolites, including volatile organic compounds (VOCs). Monitoring these metabolites in biological matrices (e.g., urine, blood, or breath) can reveal the presence of specific microorganisms, enabling the early diagnosis of infections and the timely implementation of targeted therapy. However, complex matrices only contain trace levels of VOCs, and their constituent components can hinder determination of these compounds. Therefore, modern analytical techniques enabling the non-invasive identification and precise quantification of microbial VOCs are needed. In this paper, we discuss bacterial VOC analysis under in vitro conditions, in animal models and disease diagnosis in humans, including techniques for offline and online analysis in clinical settings. We also consider the advantages and limitations of novel microextraction techniques used to prepare biological samples for VOC analysis, in addition to reviewing current clinical studies on bacterial volatilomes that address inter-species interactions, the kinetics of VOC metabolism, and species- and drug-resistance specificity.
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Affiliation(s)
- Karolina Żuchowska
- Department of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, 85-089 Bydgoszcz, Poland
| | - Wojciech Filipiak
- Department of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, 85-089 Bydgoszcz, Poland
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3
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Zhang X, Frankevich V, Ding J, Ma Y, Chingin K, Chen H. Direct mass spectrometry analysis of exhaled human breath in real-time. MASS SPECTROMETRY REVIEWS 2023. [PMID: 37565588 DOI: 10.1002/mas.21855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 05/02/2022] [Accepted: 10/01/2022] [Indexed: 08/12/2023]
Abstract
The molecular composition of exhaled human breath can reflect various physiological and pathological conditions. Considerable progress has been achieved over the past decade in real-time analysis of exhaled human breath using direct mass spectrometry methods, including selected ion flow tube mass spectrometry, proton transfer reaction mass spectrometry, extractive electrospray ionization mass spectrometry, secondary electrospray ionization mass spectrometry, acetone-assisted negative photoionization mass spectrometry, atmospheric pressure photoionization mass spectrometry, and low-pressure photoionization mass spectrometry. Here, recent developments in direct mass spectrometry analysis of exhaled human breath are reviewed with regard to analytical performance (chemical sensitivity, selectivity, quantitative capabilities) and applications of the developed methods in disease diagnosis, targeted molecular detection, and real-time metabolic monitoring.
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Affiliation(s)
- Xiaoping Zhang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, People's Republic of China
| | - Vladimir Frankevich
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russian Federation
| | - Jianhua Ding
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, People's Republic of China
| | - Yuanyuan Ma
- Department of GCP, Shanghai Public Health Clinical Center, Shanghai, China
| | - Konstantin Chingin
- School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, People's Republic of China
| | - Huanwen Chen
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, People's Republic of China
- School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, People's Republic of China
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4
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Mass spectrometry for breath analysis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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5
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Geng X, Zhao Z, Li H, Chen DDY. Tee-Shaped Sample Introduction Device Coupled with Direct Analysis in Real-Time Mass Spectrometry for Gaseous Analytes. Anal Chem 2021; 93:16813-16820. [PMID: 34825821 DOI: 10.1021/acs.analchem.1c03281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Ambient ionization mass spectrometry (AIMS) is simple to operate for analytes adsorbed on the surface of various shaped probes. However, gaseous substances or liquids that are easy to evaporate, diffuse, and escape in the atmosphere are harder to capture. In this work, a Tee-shaped sample introduction device coupled with direct analysis in real time mass spectrometry (DART-MS) is developed. The Tee-shaped device is placed between the DART ion source and the MS inlet with a heated sample transfer tube. Gaseous samples from either a Tedlar sampling bag or liquids evaporated from a graduated syringe were tested. The Tee-shaped device was used for several volatile organic compounds with a wide range of boiling points, and detection limits of ng/mL to fg/mL were obtained. To test the device for real-life samples, puff-by-puff analysis of a complex gaseous mainstream smoke was performed. Individual puffs can be analyzed rapidly, and there is no cross contamination between consecutive puffs. The dynamic changes of chemical components among different puffs for different types of cigarettes can be observed. This work provides a universal Tee-shaped sampling device to enhance AIMS for the analysis of volatile compounds and gases, which is adapted to different sampling modules applicable for various forms of samples. The device enables direct exploration of chemical components in complex gaseous samples without tedious sample preparation and time-consuming LC or GC separation.
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Affiliation(s)
- Xin Geng
- Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of Biomedical Materials, School of Chemistry and Materials Science, Nanjing Normal University, 1 Wenyuan Road, Nanjing 210023, China
| | - Zhengyan Zhao
- Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of Biomedical Materials, School of Chemistry and Materials Science, Nanjing Normal University, 1 Wenyuan Road, Nanjing 210023, China
| | - Hongli Li
- Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of Biomedical Materials, School of Chemistry and Materials Science, Nanjing Normal University, 1 Wenyuan Road, Nanjing 210023, China
| | - David Da Yong Chen
- Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of Biomedical Materials, School of Chemistry and Materials Science, Nanjing Normal University, 1 Wenyuan Road, Nanjing 210023, China.,Department of Chemistry, University of British Columbia, Vancouver, BC V6T 1Z1, Canada
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6
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Gould O, Drabińska N, Ratcliffe N, de Lacy Costello B. Hyphenated Mass Spectrometry versus Real-Time Mass Spectrometry Techniques for the Detection of Volatile Compounds from the Human Body. Molecules 2021; 26:molecules26237185. [PMID: 34885767 PMCID: PMC8659178 DOI: 10.3390/molecules26237185] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 01/16/2023] Open
Abstract
Mass spectrometry (MS) is an analytical technique that can be used for various applications in a number of scientific areas including environmental, security, forensic science, space exploration, agri-food, and numerous others. MS is also continuing to offer new insights into the proteomic and metabolomic fields. MS techniques are frequently used for the analysis of volatile compounds (VCs). The detection of VCs from human samples has the potential to aid in the diagnosis of diseases, in monitoring drug metabolites, and in providing insight into metabolic processes. The broad usage of MS has resulted in numerous variations of the technique being developed over the years, which can be divided into hyphenated and real-time MS techniques. Hyphenated chromatographic techniques coupled with MS offer unparalleled qualitative analysis and high accuracy and sensitivity, even when analysing complex matrices (breath, urine, stool, etc.). However, these benefits are traded for a significantly longer analysis time and a greater need for sample preparation and method development. On the other hand, real-time MS techniques offer highly sensitive quantitative data. Additionally, real-time techniques can provide results in a matter of minutes or even seconds, without altering the sample in any way. However, real-time MS can only offer tentative qualitative data and suffers from molecular weight overlap in complex matrices. This review compares hyphenated and real-time MS methods and provides examples of applications for each technique for the detection of VCs from humans.
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Affiliation(s)
- Oliver Gould
- Centre for Research in Biosciences, Frenchay Campus, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK; (N.R.); (B.d.L.C.)
- Correspondence: (O.G.); (N.D.)
| | - Natalia Drabińska
- Department of Chemistry and Biodynamics of Food, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, 10-748 Olsztyn, Poland
- Food Volatilomics and Sensomics Group, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, 60-637 Poznan, Poland
- Correspondence: (O.G.); (N.D.)
| | - Norman Ratcliffe
- Centre for Research in Biosciences, Frenchay Campus, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK; (N.R.); (B.d.L.C.)
| | - Ben de Lacy Costello
- Centre for Research in Biosciences, Frenchay Campus, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK; (N.R.); (B.d.L.C.)
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7
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Differentiation of Cystic Fibrosis-Related Pathogens by Volatile Organic Compound Analysis with Secondary Electrospray Ionization Mass Spectrometry. Metabolites 2021; 11:metabo11110773. [PMID: 34822431 PMCID: PMC8617967 DOI: 10.3390/metabo11110773] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/05/2021] [Accepted: 11/08/2021] [Indexed: 12/02/2022] Open
Abstract
Identifying and differentiating bacteria based on their emitted volatile organic compounds (VOCs) opens vast opportunities for rapid diagnostics. Secondary electrospray ionization high-resolution mass spectrometry (SESI-HRMS) is an ideal technique for VOC-biomarker discovery because of its speed, sensitivity towards polar molecules and compound characterization possibilities. Here, an in vitro SESI-HRMS workflow to find biomarkers for cystic fibrosis (CF)-related pathogens P. aeruginosa, S. pneumoniae, S. aureus, H. influenzae, E. coli and S. maltophilia is described. From 180 headspace samples, the six pathogens are distinguishable in the first three principal components and predictive analysis with a support vector machine algorithm using leave-one-out cross-validation exhibited perfect accuracy scores for the differentiation between the groups. Additionally, 94 distinctive features were found by recursive feature elimination and further characterized by SESI-MS/MS, which yielded 33 putatively identified biomarkers. In conclusion, the six pathogens can be distinguished in vitro based on their VOC profiles as well as the herein reported putative biomarkers. In the future, these putative biomarkers might be helpful for pathogen detection in vivo based on breath samples from patients with CF.
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8
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Breath-Taking Perspectives and Preliminary Data toward Early Detection of Chronic Liver Diseases. Biomedicines 2021; 9:biomedicines9111563. [PMID: 34829792 PMCID: PMC8615034 DOI: 10.3390/biomedicines9111563] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/20/2021] [Accepted: 10/22/2021] [Indexed: 12/17/2022] Open
Abstract
The gold standard method for chronic liver diseases diagnosis and staging remains liver biopsy, despite the spread of less invasive surrogate modalities based on imaging and blood biomarkers. Still, more than 50% of chronic liver disease cases are detected at later stages when patients exhibit episodes of liver decompensation. Breath analysis represents an attractive means for the development of non-invasive tests for several pathologies, including chronic liver diseases. In this perspective review, we summarize the main findings of studies that compared the breath of patients with chronic liver diseases against that of control subjects and found candidate biomarkers for a potential breath test. Interestingly, identified compounds with best classification performance are of exogenous origin and used as flavoring agents in food. Therefore, random dietary exposure of the general population to these compounds prevents the establishment of threshold levels for the identification of disease subjects. To overcome this limitation, we propose the exogenous volatile organic compounds (EVOCs) probe approach, where one or multiple of these flavoring agent(s) are administered at a standard dose and liver dysfunction associated with chronic liver diseases is evaluated as a washout of ingested compound(s). We report preliminary results in healthy subjects in support of the potential of the EVOC Probe approach.
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9
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Nowak N, Gaisl T, Miladinovic D, Marcinkevics R, Osswald M, Bauer S, Buhmann J, Zenobi R, Sinues P, Brown SA, Kohler M. Rapid and reversible control of human metabolism by individual sleep states. Cell Rep 2021; 37:109903. [PMID: 34706242 DOI: 10.1016/j.celrep.2021.109903] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 09/14/2021] [Accepted: 10/06/2021] [Indexed: 11/18/2022] Open
Abstract
Sleep is crucial to restore body functions and metabolism across nearly all tissues and cells, and sleep restriction is linked to various metabolic dysfunctions in humans. Using exhaled breath analysis by secondary electrospray ionization high-resolution mass spectrometry, we measured the human exhaled metabolome at 10-s resolution across a night of sleep in combination with conventional polysomnography. Our subsequent analysis of almost 2,000 metabolite features demonstrates rapid, reversible control of major metabolic pathways by the individual vigilance states. Within this framework, whereas a switch to wake reduces fatty acid oxidation, a switch to slow-wave sleep increases it, and the transition to rapid eye movement sleep results in elevation of tricarboxylic acid (TCA) cycle intermediates. Thus, in addition to daily regulation of metabolism, there exists a surprising and complex underlying orchestration across sleep and wake. Both likely play an important role in optimizing metabolic circuits for human performance and health.
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Affiliation(s)
- Nora Nowak
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich 8093, Switzerland; Department of Pulmonology, University Hospital Zurich, Zurich 8091, Switzerland; Institute of Pharmacology and Toxicology, University of Zurich, Zurich 8057, Switzerland
| | - Thomas Gaisl
- Department of Pulmonology, University Hospital Zurich, Zurich 8091, Switzerland
| | | | | | - Martin Osswald
- Department of Pulmonology, University Hospital Zurich, Zurich 8091, Switzerland
| | - Stefan Bauer
- Department of Computer Science, ETH Zurich, Zurich 8092, Switzerland
| | - Joachim Buhmann
- Department of Computer Science, ETH Zurich, Zurich 8092, Switzerland
| | - Renato Zenobi
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich 8093, Switzerland
| | - Pablo Sinues
- University Children's Hospital Basel, Basel 4056, Switzerland; Department of Biomedical Engineering, University of Basel, Allschwil 4123, Switzerland
| | - Steven A Brown
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich 8057, Switzerland.
| | - Malcolm Kohler
- Department of Pulmonology, University Hospital Zurich, Zurich 8091, Switzerland.
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Drabińska N, Flynn C, Ratcliffe N, Belluomo I, Myridakis A, Gould O, Fois M, Smart A, Devine T, Costello BDL. A literature survey of all volatiles from healthy human breath and bodily fluids: the human volatilome. J Breath Res 2021; 15. [PMID: 33761469 DOI: 10.1088/1752-7163/abf1d0] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 03/24/2021] [Indexed: 02/06/2023]
Abstract
This paper comprises an updated version of the 2014 review which reported 1846 volatile organic compounds (VOCs) identified from healthy humans. In total over 900 additional VOCs have been reported since the 2014 review and the VOCs from semen have been added. The numbers of VOCs found in breath and the other bodily fluids are: blood 379, breath 1488, faeces 443, milk 290, saliva 549, semen 196, skin 623 and urine 444. Compounds were assigned CAS registry numbers and named according to a common convention where possible. The compounds have been included in a single table with the source reference(s) for each VOC, an update on our 2014 paper. VOCs have also been grouped into tables according to their chemical class or functionality to permit easy comparison. Careful use of the database is needed, as a number of the identified VOCs only have level 2-putative assignment, and only a small fraction of the reported VOCs have been validated by standards. Some clear differences are observed, for instance, a lack of esters in urine with a high number in faeces and breath. However, the lack of compounds from matrices such a semen and milk compared to breath for example could be due to the techniques used or reflect the intensity of effort e.g. there are few publications on VOCs from milk and semen compared to a large number for breath. The large number of volatiles reported from skin is partly due to the methodologies used, e.g. by collecting skin sebum (with dissolved VOCs and semi VOCs) onto glass beads or cotton pads and then heating to a high temperature to desorb VOCs. All compounds have been included as reported (unless there was a clear discrepancy between name and chemical structure), but there may be some mistaken assignations arising from the original publications, particularly for isomers. It is the authors' intention that this work will not only be a useful database of VOCs listed in the literature but will stimulate further study of VOCs from healthy individuals; for example more work is required to confirm the identification of these VOCs adhering to the principles outlined in the metabolomics standards initiative. Establishing a list of volatiles emanating from healthy individuals and increased understanding of VOC metabolic pathways is an important step for differentiating between diseases using VOCs.
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Affiliation(s)
- Natalia Drabińska
- Division of Food Sciences, Institute of Animal Reproduction and Food Research of Polish Academy of Sciences, Tuwima 10, 10-747 Olsztyn, Poland
| | - Cheryl Flynn
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Norman Ratcliffe
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Ilaria Belluomo
- Department of Surgery and Cancer, Imperial College London, St. Mary's Campus, QEQM Building, London W2 1NY, United Kingdom
| | - Antonis Myridakis
- Department of Surgery and Cancer, Imperial College London, St. Mary's Campus, QEQM Building, London W2 1NY, United Kingdom
| | - Oliver Gould
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Matteo Fois
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Amy Smart
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Terry Devine
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Ben De Lacy Costello
- Centre of Research in Biosciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
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11
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Lammers A, van Bragt J, Brinkman P, Neerincx A, Bos L, Vijverberg S, Maitland-van der Zee A. Breathomics in Chronic Airway Diseases. SYSTEMS MEDICINE 2021. [DOI: 10.1016/b978-0-12-801238-3.11589-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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12
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Bellagambi FG, Lomonaco T, Ghimenti S, Biagini D, Fuoco R, Di Francesco F. Determination of peppermint compounds in breath by needle trap micro-extraction coupled with gas chromatography-tandem mass spectrometry. J Breath Res 2020; 15. [PMID: 33238253 DOI: 10.1088/1752-7163/abcdec] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 11/25/2020] [Indexed: 01/26/2023]
Abstract
Breath analysis is an alternative approach for disease diagnosis and for monitoring therapy. The lack of standardized procedures for collecting and analysing breath samples currently limits its use in clinical practice. In order to overcome this limitation, the "Peppermint Consortium" was established within the breath community to carry out breath wash-out experiments and define reference values for a panel of compounds contained in the peppermint oil capsule. Here, we present a needle trap micro-extraction technique coupled with gas chromatography and tandem mass spectrometry for a rapid and accurate determination of alpha-pinene, beta-pinene, limonene, eucalyptol, menthofuran, menthone, menthol and menthyl acetate in mixed breath samples. Detection limits between 1 and 20 pptv were observed when 25 mL of a humidified standard gas mixture were loaded into a needle trap device at a flow rate of 10 mL/min. Inter- and intra-day precisions were lower than 15%, thus confirming the reliability of the assay. Our procedure was used to analyse breath samples taken from a nominally healthy volunteer who were invited to swallow a 200 mg capsule of peppermint oil. Six samples were collected at various times within six hours of ingestion. Analyte concentrations were not affected by the sampling mode (i.e. mixed vs. end-tidal fraction), whereas respiratory rate and exhalation flow rate values slightly influenced the concentration of the target compounds in breath samples.
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Affiliation(s)
- Francesca G Bellagambi
- Institut des Sciences Analytiques, Université Claude Bernard Lyon 1, 5, rue de la Doua, Villeurbanne, FRANCE, 69100, FRANCE
| | - Tommaso Lomonaco
- Department of Chemistry and Industrial Chemistry, Universita degli Studi di Pisa Dipartimento di Chimica e Chimica Industriale, Via G. Moruzzi, 13, Pisa, Tuscany, 56124, ITALY
| | - Silvia Ghimenti
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Toscana, ITALY
| | - Denise Biagini
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Toscana, ITALY
| | - Roger Fuoco
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Toscana, ITALY
| | - Fabio Di Francesco
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Toscana, ITALY
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13
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Kevat AC, Carzino R, Vidmar S, Ranganathan S. Glycoprotein A as a biomarker of pulmonary infection and inflammation in children with cystic fibrosis. Pediatr Pulmonol 2020; 55:401-406. [PMID: 31682326 DOI: 10.1002/ppul.24558] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 10/21/2019] [Indexed: 11/06/2022]
Abstract
BACKGROUND Serum Glycoprotein A (GlycA) levels are increased in a variety of inflammatory disease states. However, GlycA has not been previously evaluated in children with cystic fibrosis (CF). We assessed the relationship between GlycA and pulmonary infection, inflammation, bronchial wall thickening (BWT) and bronchiectasis in young children with CF. METHODS From 95 patients, we obtained 311 paired serum and bronchoalveolar lavage (BAL) samples at multiple timepoints, with concurrent chest computed tomography on 168 occasions. Quantitative GlycA was determined using high-throughput nuclear magnetic resonance metabolomic testing. Participants were considered to be infected if ≥1 significant proinflammatory organism was isolated from their BAL. The presence of free neutrophil elastase (NE) above the limit of detection was considered evidence of inflammation. The relationships between GlycA levels and infection state, inflammation, and bronchiectasis were examined using a generalized estimating equation approach. RESULTS There was a positive relationship between GlycA (mean 1.01 mmol/L, range 0.68-1.92 mmol/L) and being infected with one or more proinflammatory organisms, even after adjusting for age and gender (odds ratio [OR], 1.2 per 0.1 mmol/L, 95% confidence interval [CI], 1.02, 1.4, P = .03). There was also a positive relationship between GlycA and NE (unadjusted OR, 1.2 95% CI, 1.01, 1.4, P = .04), not significant after adjustment. GlycA concentration was associated with BWT but not bronchiectasis. CONCLUSIONS Although GlycA levels were higher on average in those who had an infection or neutrophilic inflammation, there was also considerable variability, limiting the clinical utility of this biomarker alone in determining early disease status in CF.
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Affiliation(s)
- Ajay C Kevat
- Department of Respiratory Medicine, Royal Children's Hospital, Melbourne, Australia.,Respiratory Group, Murdoch Childrens Research Institute, Melbourne, Australia.,Department of Paediatrics, Monash University, Melbourne, Australia
| | - Rosemary Carzino
- Department of Respiratory Medicine, Royal Children's Hospital, Melbourne, Australia.,Respiratory Group, Murdoch Childrens Research Institute, Melbourne, Australia
| | - Suzanna Vidmar
- Respiratory Group, Murdoch Childrens Research Institute, Melbourne, Australia
| | - Sarath Ranganathan
- Department of Respiratory Medicine, Royal Children's Hospital, Melbourne, Australia.,Respiratory Group, Murdoch Childrens Research Institute, Melbourne, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Australia
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14
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Weber R, Haas N, Baghdasaryan A, Bruderer T, Inci D, Micic S, Perkins N, Spinas R, Zenobi R, Moeller A. Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS. ERJ Open Res 2020; 6:00171-2019. [PMID: 31956658 PMCID: PMC6955441 DOI: 10.1183/23120541.00171-2019] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Accepted: 11/05/2019] [Indexed: 11/05/2022] Open
Abstract
Early pulmonary infection and inflammation result in irreversible lung damage and are major contributors to cystic fibrosis (CF)-related morbidity. An easy to apply and noninvasive assessment for the timely detection of disease-associated complications would be of high value. We aimed to detect volatile organic compound (VOC) breath signatures of children with CF by real-time secondary electrospray ionisation high-resolution mass spectrometry (SESI-HRMS). A total of 101 children, aged 4-18 years (CF=52; healthy controls=49) and comparable for sex, body mass index and lung function were included in this prospective cross-sectional study. Exhaled air was analysed by a SESI-source linked to a high-resolution time-of-flight mass spectrometer. Mass spectra ranging from m/z 50 to 500 were recorded. Out of 3468 m/z features, 171 were significantly different in children with CF (false discovery rate adjusted p-value of 0.05). The predictive ability (CF versus healthy) was assessed by using a support-vector machine classifier and showed an average accuracy (repeated cross-validation) of 72.1% (sensitivity of 77.2% and specificity of 67.7%). This is the first study to assess entire breath profiles of children with SESI-HRMS and to extract sets of VOCs that are associated with CF. We have detected a large set of exhaled molecules that are potentially related to CF, indicating that the molecular breath of children with CF is diverse and informative.
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Affiliation(s)
- Ronja Weber
- Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland
| | - Naemi Haas
- Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland
| | - Astghik Baghdasaryan
- Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland.,Joint Medical Center Arabkir, Division of Pulmonology, Yerevan, Armenia
| | - Tobias Bruderer
- Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland.,ETH Zürich, Dept of Chemistry and Applied Bioscience, Zürich, Switzerland
| | - Demet Inci
- Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland
| | - Srdjan Micic
- Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland
| | - Nathan Perkins
- Division of Clinical Chemistry and Biochemistry, University Children's Hospital Zürich, Zürich, Switzerland
| | - Renate Spinas
- Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland
| | - Renato Zenobi
- ETH Zürich, Dept of Chemistry and Applied Bioscience, Zürich, Switzerland
| | - Alexander Moeller
- Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland.,A list of the members of the Paediatric Exhalomics Group can be found at the end of this article
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15
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Bruderer T, Gaisl T, Gaugg MT, Nowak N, Streckenbach B, Müller S, Moeller A, Kohler M, Zenobi R. On-Line Analysis of Exhaled Breath Focus Review. Chem Rev 2019; 119:10803-10828. [PMID: 31594311 DOI: 10.1021/acs.chemrev.9b00005] [Citation(s) in RCA: 108] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
On-line analysis of exhaled breath offers insight into a person's metabolism without the need for sample preparation or sample collection. Due to its noninvasive nature and the possibility to sample continuously, the analysis of breath has great clinical potential. The unique features of this technology make it an attractive candidate for applications in medicine, beyond the task of diagnosis. We review the current methodologies for on-line breath analysis, discuss current and future applications, and critically evaluate challenges and pitfalls such as the need for standardization. Special emphasis is given to the use of the technology in diagnosing respiratory diseases, potential niche applications, and the promise of breath analysis for personalized medicine. The analytical methodologies used range from very small and low-cost chemical sensors, which are ideal for continuous monitoring of disease status, to optical spectroscopy and state-of-the-art, high-resolution mass spectrometry. The latter can be utilized for untargeted analysis of exhaled breath, with the capability to identify hitherto unknown molecules. The interpretation of the resulting big data sets is complex and often constrained due to a limited number of participants. Even larger data sets will be needed for assessing reproducibility and for validation of biomarker candidates. In addition, molecular structures and quantification of compounds are generally not easily available from on-line measurements and require complementary measurements, for example, a separation method coupled to mass spectrometry. Furthermore, a lack of standardization still hampers the application of the technique to screen larger cohorts of patients. This review summarizes the present status and continuous improvements of the principal on-line breath analysis methods and evaluates obstacles for their wider application.
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Affiliation(s)
- Tobias Bruderer
- Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland.,Division of Respiratory Medicine , University Children's Hospital Zurich and Children's Research Center Zurich , CH-8032 Zurich , Switzerland
| | - Thomas Gaisl
- Department of Pulmonology , University Hospital Zurich , CH-8091 Zurich , Switzerland.,Zurich Center for Interdisciplinary Sleep Research , University of Zurich , CH-8091 Zurich , Switzerland
| | - Martin T Gaugg
- Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland
| | - Nora Nowak
- Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland
| | - Bettina Streckenbach
- Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland
| | - Simona Müller
- Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland
| | - Alexander Moeller
- Division of Respiratory Medicine , University Children's Hospital Zurich and Children's Research Center Zurich , CH-8032 Zurich , Switzerland
| | - Malcolm Kohler
- Department of Pulmonology , University Hospital Zurich , CH-8091 Zurich , Switzerland.,Center for Integrative Human Physiology , University of Zurich , CH-8091 Zurich , Switzerland.,Zurich Center for Interdisciplinary Sleep Research , University of Zurich , CH-8091 Zurich , Switzerland
| | - Renato Zenobi
- Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland
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16
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Feider CL, Krieger A, DeHoog RJ, Eberlin LS. Ambient Ionization Mass Spectrometry: Recent Developments and Applications. Anal Chem 2019; 91:4266-4290. [PMID: 30790515 PMCID: PMC7444024 DOI: 10.1021/acs.analchem.9b00807] [Citation(s) in RCA: 210] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Clara L. Feider
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Anna Krieger
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Rachel J. DeHoog
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Livia S. Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
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17
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Gaugg MT, Nussbaumer-Ochsner Y, Bregy L, Engler A, Stebler N, Gaisl T, Bruderer T, Nowak N, Sinues P, Zenobi R, Kohler M. Real-Time Breath Analysis Reveals Specific Metabolic Signatures of COPD Exacerbations. Chest 2019; 156:269-276. [PMID: 30685334 DOI: 10.1016/j.chest.2018.12.023] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 11/19/2018] [Accepted: 12/03/2018] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Exacerbations of COPD are defined by acute worsening of respiratory symptoms leading to a change in therapy. Identifying altered metabolic processes in patients at risk for future exacerbations is desirable for treatment optimization, the development of new therapeutic strategies, and perhaps diagnostic value. We aimed to identify affected pathways using the profiles of volatile organic compounds in exhaled breath from patients with COPD with and without frequent exacerbations (≥ 2 exacerbations within the past 12 months). METHODS In this matched cohort study, exhaled breath profiles from patients with COPD and frequent exacerbations ("frequent exacerbators") and without frequent exacerbations ("nonfrequent exacerbators") were analyzed during an exacerbation-free interval using real-time secondary electrospray ionization high-resolution mass spectrometry. We analyzed exhaled breath from 26 frequent exacerbators and 26 nonfrequent exacerbators that were matched in terms of age, sex, and smoking history. To obtain new pathophysiological insights, we investigated significantly altered metabolites, which can be assigned to specific pathways. Metabolites were identified by using a Wilcoxon rank-sum test. RESULTS Metabolite levels from the ω-oxidation pathway, namely ω-hydroxy, ω-oxo, and dicarboxylic acids, were consistently decreased in frequent exacerbators. Additionally, several new nitro-aromatic metabolites, which were significantly increased in frequent exacerbators, were identified. CONCLUSIONS Real-time breath analysis by secondary electrospray high-resolution mass spectrometry allows molecular profiling of exhaled breath, providing insights about ongoing biochemical processes in patients with COPD at risk for exacerbations. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT02186639; URL: www.clinicaltrials.gov.
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Affiliation(s)
- Martin Thomas Gaugg
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | | | - Lukas Bregy
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Anna Engler
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland
| | - Nina Stebler
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland
| | - Thomas Gaisl
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland
| | - Tobias Bruderer
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland; Division of Respiratory Medicine, Childhood Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Nora Nowak
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Pablo Sinues
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland; University Children's Hospital Basel, University of Basel, Basel, Switzerland
| | - Renato Zenobi
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Malcolm Kohler
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland; Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland.
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18
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Bregy L, Hirsiger C, Gartenmann S, Bruderer T, Zenobi R, Schmidlin PR. Metabolic changes during periodontitis therapy assessed by real-time ambient mass spectrometry. CLINICAL MASS SPECTROMETRY 2019; 14 Pt A:54-62. [PMID: 34917761 DOI: 10.1016/j.clinms.2019.01.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 01/22/2019] [Accepted: 01/22/2019] [Indexed: 02/02/2023]
Abstract
It has been shown that bacteria in periodontally diseased patients can be recognized by the detection of volatile metabolites in the headspace of saliva by real-time ambient mass spectrometry. The aim of this study was to use this detection method to analyze the oral metabolome in diseased periodontitis patients before and after therapy to monitor disease evolution and healing events. Twelve patients with advanced chronic periodontal disease and 12 periodontally healthy controls served as test and control groups, respectively. Clinical data, subgingival plaque samples and saliva samples were collected at baseline (BL) and 3 months after treatment. The test group received non-surgical scaling and root planing using systemic antibiotics and the control group received one session of supragingival cleaning. Saliva samples from all subjects were analyzed with ambient mass spectrometry. Significant metabolic alterations were found in the headspace of saliva of periodontitis patients 3 months after the non-surgical periodontal treatment. Furthermore, the diseased group showed metabolic features after the treatment that were similar to the healthy control group. In addition, 29 metabolic features correlated with A. actinomycetemcomitans, 17 features correlated with P. gingivalis and one feature correlated with T. denticola. It was shown that headspace secondary electrospray ionization - mass spectrometry allows the detection of different volatile metabolites in healthy and diseased patients. It can be concluded that this rapid and minimally invasive method could have the potential to routinely diagnose and monitor periodontal diseases in the headspace of saliva samples and, eventually, in exhaled breath.
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Key Words
- A.a., Aggregatibacter actinomycetemcomitans
- BL, baseline
- BOP, bleeding on probing
- GC-MC, gas chromatography mass spectrometry
- P.g., Porphyromonas gingivalis
- PPD, pocket probing depth
- PSI, periodental screening index
- SESI-HRMS, secondary electrospray ionization – high-resolution mass spectrometry
- T.d., Treponema denticola
- T.f., Tannarella forsythia
- UHPLC, ultra high pressure/performance liquid chromatography
- VSC, volatile sulfur compounds
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Affiliation(s)
- Lukas Bregy
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Constanze Hirsiger
- Clinic of Preventive Dentistry, Periodontology and Cariology, Center of Dental Medicine, University of Zurich, Zurich, Switzerland
| | - Stefanie Gartenmann
- Clinic of Preventive Dentistry, Periodontology and Cariology, Center of Dental Medicine, University of Zurich, Zurich, Switzerland
| | - Tobias Bruderer
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Renato Zenobi
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Patrick R Schmidlin
- Clinic of Preventive Dentistry, Periodontology and Cariology, Center of Dental Medicine, University of Zurich, Zurich, Switzerland
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19
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Li H, Xu M, Zhu J. Headspace Gas Monitoring of Gut Microbiota Using Targeted and Globally Optimized Targeted Secondary Electrospray Ionization Mass Spectrometry. Anal Chem 2018; 91:854-863. [DOI: 10.1021/acs.analchem.8b03517] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Haorong Li
- Department of Chemistry and Biochemistry, Miami University, 651 E. High Street, Oxford, Ohio 45056, United States
| | - Mengyang Xu
- Department of Chemistry and Biochemistry, Miami University, 651 E. High Street, Oxford, Ohio 45056, United States
| | - Jiangjiang Zhu
- Department of Chemistry and Biochemistry, Miami University, 651 E. High Street, Oxford, Ohio 45056, United States
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