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V A B, Mathew P, Thomas S, Mathew L. Detection of lung cancer and stages via breath analysis using a self-made electronic nose device. Expert Rev Mol Diagn 2024; 24:341-353. [PMID: 38369930 DOI: 10.1080/14737159.2024.2316755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 01/25/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Breathomics is an emerging area focusing on monitoring and diagnosing pulmonary diseases, especially lung cancer. This research aims to employ metabolomic methods to create a breathprint in human-expelled air to rapidly identify lung cancer and its stages. RESEARCH DESIGN AND METHODS An electronic nose (e-nose) system with five metal oxide semiconductor (MOS) gas sensors, a microcontroller, and machine learning algorithms was designed and developed for this application. The volunteers in this study include 114 patients with lung cancer and 147 healthy controls to understand the clinical potential of the e-nose system to detect lung cancer and its stages. RESULTS In the training phase, in discriminating lung cancer from controls, the XGBoost classifier model with 10-fold cross-validation gave an accuracy of 91.67%. In the validation phase, the XGBoost classifier model correctly identified 35 out of 42 patients with lung cancer samples and 44 out of 51 healthy control samples providing an overall sensitivity of 83.33% and specificity of 86.27%. CONCLUSIONS These results indicate that the exhaled breath VOC analysis method may be developed as a new diagnostic tool for lung cancer detection. The advantages of e-nose based diagnostics, such as an easy and painless method of sampling, and low-cost procedures, will make it an excellent diagnostic method in the future.
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Affiliation(s)
- Binson V A
- Saintgits College of Engineering, Kottayam, Kerala, India
| | - Philip Mathew
- Department of Critical Care Medicine, Believers Church Medical College Hospital, Thiruvalla, Kerala, India
| | - Sania Thomas
- Saintgits College of Engineering, Kottayam, Kerala, India
| | - Luke Mathew
- Department of Pulmonology, Believers Church Medical College Hospital, Thiruvalla, Kerala, India
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Wijbenga N, Muller MM, Hoek RAS, Mathot BJ, Seghers L, Aerts JGJV, de Winter BCM, Bos D, Manintveld OC, Hellemons ME. Diagnostic accuracy of eNose 'breathprints' for therapeutic drug monitoring of Tacrolimus trough levels in lung transplantation. J Breath Res 2023; 17:046010. [PMID: 37582348 DOI: 10.1088/1752-7163/acf066] [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: 08/30/2022] [Accepted: 08/15/2023] [Indexed: 08/17/2023]
Abstract
In order to prevent long-term immunity-related complications after lung transplantation, close monitoring of immunosuppressant levels using therapeutic drug monitoring (TDM) is paramount. Novel electronic nose (eNose) technology may be a non-invasive alternative to the current invasive procedures for TDM. We investigated the diagnostic and categorization capacity of eNose breathprints for Tacrolimus trough blood plasma levels (TACtrough) in lung transplant recipients (LTRs). We performed eNose measurements in stable LTR attending the outpatient clinic. We evaluated (1) the correlation between eNose measurements and TACtrough, (2) the diagnostic capacity of eNose technology for TACtrough, and (3) the accuracy of eNose technology for categorization of TACtroughinto three clinically relevant categories (low: <7µg ml-1, medium: 7-10µg ml-1, and high: >10µg ml-1). A total of 186 measurements from 86 LTR were included. There was a weak but statistically significant correlation (r= 0.21,p= 0.004) between the eNose measurements and TACtrough. The root mean squared error of prediction for the diagnostic capacity was 3.186 in the training and 3.131 in the validation set. The accuracy of categorization ranged between 45%-63% for the training set and 52%-69% in the validation set. There is a weak correlation between eNose breathprints and TACtroughin LTR. However, the diagnostic as well as categorization capacity for TACtroughusing eNose breathprints is too inaccurate to be applicable in TDM.
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Affiliation(s)
- Nynke Wijbenga
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marjolein M Muller
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Educational program Technical Medicine; Leiden University Medical Center, Delft University of Technology & Erasmus University Medical Center, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rogier A S Hoek
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bas J Mathot
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Leonard Seghers
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Joachim G J V Aerts
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Brenda C M de Winter
- Department of Hospital Pharmacy, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Daniel Bos
- Department of Radiology & Nuclear Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Olivier C Manintveld
- Department of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Merel E Hellemons
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
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Ahmed WM, Fenn D, White IR, Dixon B, Nijsen TME, Knobel HH, Brinkman P, Van Oort PMP, Schultz MJ, Dark P, Goodacre R, Felton T, Bos LDJ, Fowler SJ. Microbial Volatiles as Diagnostic Biomarkers of Bacterial Lung Infection in Mechanically Ventilated Patients. Clin Infect Dis 2023; 76:1059-1066. [PMID: 36310531 PMCID: PMC10029988 DOI: 10.1093/cid/ciac859] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 10/18/2022] [Accepted: 10/27/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Early and accurate recognition of respiratory pathogens is crucial to prevent increased risk of mortality in critically ill patients. Microbial-derived volatile organic compounds (mVOCs) in exhaled breath could be used as noninvasive biomarkers of infection to support clinical diagnosis. METHODS In this study, we investigated the diagnostic potential of in vitro-confirmed mVOCs in the exhaled breath of patients under mechanical ventilation from the BreathDx study. Samples were analyzed by thermal desorption-gas chromatography-mass spectrometry. RESULTS Pathogens from bronchoalveolar lavage (BAL) cultures were identified in 45 of 89 patients and Staphylococcus aureus was the most commonly identified pathogen (n = 15). Of 19 mVOCs detected in the in vitro culture headspace of 4 common respiratory pathogens (S. aureus, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Escherichia coli), 14 were found in exhaled breath samples. Higher concentrations of 2 mVOCs were found in the exhaled breath of patients infected with S. aureus compared to those without (3-methylbutanal: P < .01, area under the receiver operating characteristic curve [AUROC] = 0.81-0.87; and 3-methylbutanoic acid: P = .01, AUROC = 0.79-0.80). In addition, bacteria identified from BAL cultures that are known to metabolize tryptophan (E. coli, Klebsiella oxytoca, and Haemophilus influenzae) were grouped and found to produce higher concentrations of indole compared to breath samples with culture-negative (P = .034) and other pathogen-positive (P = .049) samples. CONCLUSIONS This study demonstrates the capability of using mVOCs to detect the presence of specific pathogen groups with potential to support clinical diagnosis. Although not all mVOCs were found in patient samples within this small pilot study, further targeted and qualitative investigation is warranted using multicenter clinical studies.
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Affiliation(s)
- Waqar M Ahmed
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre and National Institute for Health Research Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
| | - Dominic Fenn
- Department of Respiratory Medicine, Amsterdam UMC-location AMC, University of Amsterdam, Amsterdam, The Netherlands
- Laboratory of Experimental Intensive Care and Anaesthesiology, Amsterdam University Medical Center (UMC), Academic Medical Center (AMC), Amsterdam, The Netherlands
| | - Iain R White
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre and National Institute for Health Research Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Laboratory for Environmental and Life Science, University of Nova Gorica, Nova Gorica, Slovenia
| | - Breanna Dixon
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre and National Institute for Health Research Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
| | | | - Hugo H Knobel
- Eurofins Materials Science Netherlands BV, High Tech Campus, Eindhoven, The Netherlands
| | - Paul Brinkman
- Department of Respiratory Medicine, Amsterdam UMC-location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Pouline M P Van Oort
- Department of Anaesthesiology, Amsterdam UMC Location VU Medical Center, Amsterdam, The Netherlands
| | - Marcus J Schultz
- Intensive Care, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
- Department of Clinical Affairs, Hamilton Medical AG, Chur, Switzerland
| | - Paul Dark
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre and National Institute for Health Research Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Critical Care Unit, Salford Royal NHS Foundation Trust, Northern Care Alliance NHS Group, Manchester, United Kingdom
| | - Royston Goodacre
- Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Timothy Felton
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre and National Institute for Health Research Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
| | - Lieuwe D J Bos
- Department of Respiratory Medicine, Amsterdam UMC-location AMC, University of Amsterdam, Amsterdam, The Netherlands
- Laboratory of Experimental Intensive Care and Anaesthesiology, Amsterdam University Medical Center (UMC), Academic Medical Center (AMC), Amsterdam, The Netherlands
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Stephen J Fowler
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre and National Institute for Health Research Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
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Kiss H, Örlős Z, Gellért Á, Megyesfalvi Z, Mikáczó A, Sárközi A, Vaskó A, Miklós Z, Horváth I. Exhaled Biomarkers for Point-of-Care Diagnosis: Recent Advances and New Challenges in Breathomics. MICROMACHINES 2023; 14:391. [PMID: 36838091 PMCID: PMC9964519 DOI: 10.3390/mi14020391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/29/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
Cancers, chronic diseases and respiratory infections are major causes of mortality and present diagnostic and therapeutic challenges for health care. There is an unmet medical need for non-invasive, easy-to-use biomarkers for the early diagnosis, phenotyping, predicting and monitoring of the therapeutic responses of these disorders. Exhaled breath sampling is an attractive choice that has gained attention in recent years. Exhaled nitric oxide measurement used as a predictive biomarker of the response to anti-eosinophil therapy in severe asthma has paved the way for other exhaled breath biomarkers. Advances in laser and nanosensor technologies and spectrometry together with widespread use of algorithms and artificial intelligence have facilitated research on volatile organic compounds and artificial olfaction systems to develop new exhaled biomarkers. We aim to provide an overview of the recent advances in and challenges of exhaled biomarker measurements with an emphasis on the applicability of their measurement as a non-invasive, point-of-care diagnostic and monitoring tool.
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Affiliation(s)
- Helga Kiss
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Zoltán Örlős
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Áron Gellért
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Zsolt Megyesfalvi
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Angéla Mikáczó
- Department of Pulmonology, University of Debrecen, Nagyerdei krt 98, 4032 Debrecen, Hungary
| | - Anna Sárközi
- Department of Pulmonology, University of Debrecen, Nagyerdei krt 98, 4032 Debrecen, Hungary
| | - Attila Vaskó
- Department of Pulmonology, University of Debrecen, Nagyerdei krt 98, 4032 Debrecen, Hungary
| | - Zsuzsanna Miklós
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Ildikó Horváth
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
- Department of Pulmonology, University of Debrecen, Nagyerdei krt 98, 4032 Debrecen, Hungary
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Wijbenga N, Hoek RAS, Mathot BJ, Seghers L, Moor CC, Aerts JGJV, Bos D, Manintveld OC, Hellemons ME. Diagnostic performance of electronic nose technology in chronic lung allograft dysfunction. J Heart Lung Transplant 2023; 42:236-245. [PMID: 36283951 DOI: 10.1016/j.healun.2022.09.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 08/22/2022] [Accepted: 09/12/2022] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND There is a need for reliable biomarkers for the diagnosis of chronic lung allograft dysfunction (CLAD). In this light, we investigated the diagnostic value of exhaled breath analysis using an electronic nose (eNose) for CLAD, CLAD phenotype, and CLAD stage in lung transplant recipients (LTR). METHODS We performed eNose measurements in LTR with and without CLAD, visiting the outpatient clinic. Through supervised machine learning, the diagnostic value of eNose for CLAD was assessed in a random training and validation set. Next, we investigated the diagnostic value of the eNose measurements combined with known risk factors for CLAD. Model performance was evaluated using ROC-analysis. RESULTS We included 152 LTR (median age 60 years, 49% females), of whom 38 with CLAD. eNose-based classification of patients with and without CLAD provided an AUC of 0.86 in the training set, and 0.82 in the validation set. After adding established risk factors for CLAD (age, gender, type of transplantation, time after transplantation and prior occurrence of acute cellular rejection) to a model with the eNose data, the discriminative ability of the model improved to an AUC of 0.94 (p = 0.02) in the training set and 0.94 (p = 0.04) in the validation set. Discrimination between BOS and RAS was good (AUC 0.95). Discriminative ability for other phenotypes (AUCs ranging 0.50-0.92) or CLAD stages (AUC 0.56) was limited. CONCLUSION Exhaled breath analysis using eNose is a promising novel biomarker for enabling diagnosis and phenotyping CLAD. eNose technology could be a valuable addition to the diagnostic armamentarium for suspected graft failure in LTR.
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Affiliation(s)
- Nynke Wijbenga
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands; Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rogier A S Hoek
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands; Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bas J Mathot
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands; Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Leonard Seghers
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands; Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Catharina C Moor
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Joachim G J V Aerts
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Daniel Bos
- Department of Radiology & Nuclear Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Olivier C Manintveld
- Department of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands; Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Merel E Hellemons
- Department of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands; Erasmus MC Transplant Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
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Wijbenga N, Hoek RA, Mathot BJ, Seghers L, Aerts JG, Manintveld OC, Hellemons ME. The potential of eNose technology in lung transplantation: a proof of principle. ERJ Open Res 2022; 8:00048-2022. [PMID: 35821754 PMCID: PMC9271757 DOI: 10.1183/23120541.00048-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 05/04/2022] [Indexed: 11/05/2022] Open
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van der Sar IG, Wijbenga N, Nakshbandi G, Aerts JGJV, Manintveld OC, Wijsenbeek MS, Hellemons ME, Moor CC. The smell of lung disease: a review of the current status of electronic nose technology. Respir Res 2021; 22:246. [PMID: 34535144 PMCID: PMC8448171 DOI: 10.1186/s12931-021-01835-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/26/2021] [Indexed: 02/08/2023] Open
Abstract
There is a need for timely, accurate diagnosis, and personalised management in lung diseases. Exhaled breath reflects inflammatory and metabolic processes in the human body, especially in the lungs. The analysis of exhaled breath using electronic nose (eNose) technology has gained increasing attention in the past years. This technique has great potential to be used in clinical practice as a real-time non-invasive diagnostic tool, and for monitoring disease course and therapeutic effects. To date, multiple eNoses have been developed and evaluated in clinical studies across a wide spectrum of lung diseases, mainly for diagnostic purposes. Heterogeneity in study design, analysis techniques, and differences between eNose devices currently hamper generalization and comparison of study results. Moreover, many pilot studies have been performed, while validation and implementation studies are scarce. These studies are needed before implementation in clinical practice can be realised. This review summarises the technical aspects of available eNose devices and the available evidence for clinical application of eNose technology in different lung diseases. Furthermore, recommendations for future research to pave the way for clinical implementation of eNose technology are provided.
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Affiliation(s)
- I G van der Sar
- Department of Respiratory Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - N Wijbenga
- Department of Respiratory Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - G Nakshbandi
- Department of Respiratory Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - J G J V Aerts
- Department of Respiratory Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - O C Manintveld
- Department of Cardiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - M S Wijsenbeek
- Department of Respiratory Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - M E Hellemons
- Department of Respiratory Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - C C Moor
- Department of Respiratory Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
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Noninvasive detection of COPD and Lung Cancer through breath analysis using MOS Sensor array based e-nose. Expert Rev Mol Diagn 2021; 21:1223-1233. [PMID: 34415806 DOI: 10.1080/14737159.2021.1971079] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION This paper describes the research work done toward the development of a breath analyzing electronic nose (e-nose), and the results obtained from testing patients with lung cancer, patients with chronic obstructive pulmonary disease (COPD), and healthy controls. Pulmonary diseases like COPD and lung cancer are detected with MOS sensor array-based e-noses. The e-nose device with the sensor array, data acquisition system, and pattern recognition can detect the variations of volatile organic compounds (VOC) present in the expelled breath of patients and healthy controls. MATERIALS AND METHODS This work presents the e-nose equipment design, study subjects selection, breath sampling procedures, and various data analysis tools. The developed e-nose system is tested in 40 patients with lung cancer, 48 patients with COPD, and 90 healthy controls. RESULTS In differentiating lung cancer and COPD from controls, support vector machine (SVM) with 3-fold cross-validation outperformed all other classifiers with an accuracy of 92.3% in cross-validation. In external validation, the same discrimination was achieved by k-nearest neighbors (k-NN) with 75.0% accuracy. CONCLUSION The reported results show that the VOC analysis with an e-nose system holds exceptional possibilities in noninvasive disease diagnosis applications.
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Gashimova E, Osipova A, Temerdashev A, Porkhanov V, Polyakov I, Perunov D, Dmitrieva E. Study of confounding factors influence on lung cancer diagnostics effectiveness using gas chromatography-mass spectrometry analysis of exhaled breath. Biomark Med 2021; 15:821-829. [PMID: 34223778 DOI: 10.2217/bmm-2020-0828] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 03/30/2021] [Indexed: 01/11/2023] Open
Abstract
Aim: The purpose of this study was to estimate volatile organic compounds (VOCs) ability to distinguish exhaled breath samples of lung cancer patients and healthy volunteers and to assess the effect of smoking status and gender on parameters. Patients & methods: Exhaled breath samples of 40 lung cancer patients and 40 healthy individuals were analyzed using gas chromatography-mass spectrometry. Influence of other factors on the exhaled breath VOCs profile was investigated. Results: Some parameters correlating with the disease status were affected by other factors. Excluding these parameters allows creating a logistic regression diagnostic model with 83% sensitivity and 81% specificity. Conclusion: Influence of other factors on the exhaled breath VOCs profile has to be taken into account to avoid misleading results.
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Affiliation(s)
- Elina Gashimova
- Department of Analytical Chemistry, Kuban State University, Krasnodar, Russia
| | - Anna Osipova
- Department of Analytical Chemistry, Kuban State University, Krasnodar, Russia
| | - Azamat Temerdashev
- Department of Analytical Chemistry, Kuban State University, Krasnodar, Russia
| | - Vladimir Porkhanov
- Research Institute - Regional Clinical Hospital No. 1 named after Prof. SV Ochapovsky, Krasnodar, Russia
| | - Igor Polyakov
- Research Institute - Regional Clinical Hospital No. 1 named after Prof. SV Ochapovsky, Krasnodar, Russia
| | - Dmitry Perunov
- Research Institute - Regional Clinical Hospital No. 1 named after Prof. SV Ochapovsky, Krasnodar, Russia
| | - Ekaterina Dmitrieva
- Department of Analytical Chemistry, Kuban State University, Krasnodar, Russia
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Küppers L, Holz O, Schuchardt S, Gottlieb J, Fuge J, Greer M, Hohlfeld JM. Breath volatile organic compounds of lung transplant recipients with and without chronic lung allograft dysfunction. J Breath Res 2018; 12:036023. [PMID: 29771243 DOI: 10.1088/1752-7163/aac5af] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Chronic lung allograft dysfunction with its clinical correlative of bronchiolitis obliterans syndrome (BOS) remains the major limiting factor for long-term graft survival. Currently there are no established methods for the early diagnosis or prediction of BOS. To assess the feasibility of breath collection as a non-invasive tool and the potential of breath volatile organic compounds (VOC) for the early detection of BOS, we compared the breath VOC composition between transplant patients without and different stages of BOS. METHODS 75 outpatients (25 BOS stage 0, 25 BOS stage 1 + 2, 25 BOS stage 3) after bilateral lung transplantation were included. Exclusion criteria were active smoking, oxygen therapy and acute infection. Patients inhaled room air through a VOC and sterile filter and exhaled into an aluminum reservoir tube. Breath was loaded directly onto Tenax® TA adsorption tubes and was subsequently analyzed by gas-chromatography/mass-spectrometry. RESULTS The three groups were age and gender matched, but differed with respect to time since transplantation, the spectrum of underlying disease, and treatment regimes. Relative to patients without BOS, BOS stage 3 patients showed a larger number of different VOCs, and more pronounced differences in the level of VOCs as compared to BOS stage 1 + 2 patients. Logistic regression analysis found no differences between controls and BOS 1 + 2, but four VOCs (heptane, isopropyl-myristate, ethyl-acetate, ionone) with a significant contribution to the discrimination between controls and BOS stage 3. A combination of these four VOCs separated these groups with an area under the curve of 0.87. CONCLUSION Breath sample collection using our reservoir sampler in the clinical environment was feasible. Our results suggest that breath VOCs can discriminate severe BOS. However, convincing evidence for VOCs with a potential to detect early onset BOS is lacking.
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Affiliation(s)
- L Küppers
- Fraunhofer ITEM, Clinical Airway Research-Hannover, Germany
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Popa C, Bratu AM, Petrus M. A comparative photoacoustic study of multi gases from human respiration: mouth breathing vs. nasal breathing. Microchem J 2018. [DOI: 10.1016/j.microc.2018.02.030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Horváth I, Barnes PJ, Loukides S, Sterk PJ, Högman M, Olin AC, Amann A, Antus B, Baraldi E, Bikov A, Boots AW, Bos LD, Brinkman P, Bucca C, Carpagnano GE, Corradi M, Cristescu S, de Jongste JC, Dinh-Xuan AT, Dompeling E, Fens N, Fowler S, Hohlfeld JM, Holz O, Jöbsis Q, Van De Kant K, Knobel HH, Kostikas K, Lehtimäki L, Lundberg J, Montuschi P, Van Muylem A, Pennazza G, Reinhold P, Ricciardolo FLM, Rosias P, Santonico M, van der Schee MP, van Schooten FJ, Spanevello A, Tonia T, Vink TJ. A European Respiratory Society technical standard: exhaled biomarkers in lung disease. Eur Respir J 2017; 49:49/4/1600965. [PMID: 28446552 DOI: 10.1183/13993003.00965-2016] [Citation(s) in RCA: 375] [Impact Index Per Article: 53.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 01/09/2017] [Indexed: 12/19/2022]
Abstract
Breath tests cover the fraction of nitric oxide in expired gas (FeNO), volatile organic compounds (VOCs), variables in exhaled breath condensate (EBC) and other measurements. For EBC and for FeNO, official recommendations for standardised procedures are more than 10 years old and there is none for exhaled VOCs and particles. The aim of this document is to provide technical standards and recommendations for sample collection and analytic approaches and to highlight future research priorities in the field. For EBC and FeNO, new developments and advances in technology have been evaluated in the current document. This report is not intended to provide clinical guidance on disease diagnosis and management.Clinicians and researchers with expertise in exhaled biomarkers were invited to participate. Published studies regarding methodology of breath tests were selected, discussed and evaluated in a consensus-based manner by the Task Force members.Recommendations for standardisation of sampling, analysing and reporting of data and suggestions for research to cover gaps in the evidence have been created and summarised.Application of breath biomarker measurement in a standardised manner will provide comparable results, thereby facilitating the potential use of these biomarkers in clinical practice.
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Affiliation(s)
- Ildiko Horváth
- Dept of Pulmonology, National Korányi Institute of Pulmonology, Budapest, Hungary
| | - Peter J Barnes
- National Heart and Lung Institute, Imperial College London, Royal Brompton Hospital, London, UK
| | | | - Peter J Sterk
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Marieann Högman
- Centre for Research & Development, Uppsala University/Gävleborg County Council, Gävle, Sweden
| | - Anna-Carin Olin
- Occupational and Environmental Medicine, Sahlgrenska Academy and University Hospital, Goteborg, Sweden
| | - Anton Amann
- Innsbruck Medical University, Innsbruck, Austria
| | - Balazs Antus
- Dept of Pathophysiology, National Korányi Institute of Pulmonology, Budapest, Hungary
| | | | - Andras Bikov
- Dept of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Agnes W Boots
- Dept of Pharmacology and Toxicology, University of Maastricht, Maastricht, The Netherlands
| | - Lieuwe D Bos
- Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Paul Brinkman
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Caterina Bucca
- Biomedical Sciences and Human Oncology, Universita' di Torino, Turin, Italy
| | | | | | - Simona Cristescu
- Dept of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands
| | - Johan C de Jongste
- Dept of Pediatrics/Respiratory Medicine, Erasmus MC-Sophia Childrens' Hospital, Rotterdam, The Netherlands
| | | | - Edward Dompeling
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Niki Fens
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Stephen Fowler
- Respiratory Research Group, University of Manchester Wythenshawe Hospital, Manchester, UK
| | - Jens M Hohlfeld
- Clinical Airway Research, Fraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany.,Medizinische Hochschule Hannover, Hannover, Germany
| | - Olaf Holz
- Clinical Airway Research, Fraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany
| | - Quirijn Jöbsis
- Department of Paediatric Respiratory Medicine, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Kim Van De Kant
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hugo H Knobel
- Philips Research, High Tech Campus 11, Eindhoven, The Netherlands
| | | | | | - Jon Lundberg
- Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Paolo Montuschi
- Pharmacology, Catholic University of the Sacred Heart, Rome, Italy
| | - Alain Van Muylem
- Hopital Erasme Cliniques Universitaires de Bruxelles, Bruxelles, Belgium
| | - Giorgio Pennazza
- Faculty of Engineering, University Campus Bio-Medico, Rome, Italy
| | - Petra Reinhold
- Institute of Molecular Pathogenesis, Friedrich Loeffler Institut, Jena, Germany
| | - Fabio L M Ricciardolo
- Clinic of Respiratory Disease, Dept of Clinical and Biological Sciences, University of Torino, Torino, Italy
| | - Philippe Rosias
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands.,Dept of Pediatrics, Maasland Hospital, Sittard, The Netherlands
| | - Marco Santonico
- Faculty of Engineering, University Campus Bio-Medico, Rome, Italy
| | - Marc P van der Schee
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | | | | | - Thomy Tonia
- European Respiratory Society, Lausanne, Switzerland
| | - Teunis J Vink
- Philips Research, High Tech Campus 11, Eindhoven, The Netherlands
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Dragonieri S, Pennazza G, Carratu P, Resta O. Electronic Nose Technology in Respiratory Diseases. Lung 2017; 195:157-165. [PMID: 28238110 DOI: 10.1007/s00408-017-9987-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 02/13/2017] [Indexed: 02/06/2023]
Abstract
Electronic noses (e-noses) are based on arrays of different sensor types that respond to specific features of an odorant molecule, mostly volatile organic compounds (VOCs). Differently from gas chromatography and mass spectrometry, e-noses can distinguish VOCs spectrum by pattern recognition. E-nose technology has successfully been used in commercial applications, including military, environmental, and food industry. Human-exhaled breath contains a mixture of over 3000 VOCs, which offers the postulate that e-nose technology can have medical applications. Based on the above hypothesis, an increasing number of studies have shown that breath profiling by e-nose could play a role in the diagnosis and/or screening of various respiratory and systemic diseases. The aim of the present study was to review the principal literature on the application of e-nose technology in respiratory diseases.
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Affiliation(s)
- Silvano Dragonieri
- Department of Respiratory Diseases, University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy.
| | - Giorgio Pennazza
- Unit of Electronics for Sensor Systems, Center for Integrated Research, Campus Bio-Medico University, Rome, Italy
| | - Pierluigi Carratu
- Department of Respiratory Diseases, University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Onofrio Resta
- Department of Respiratory Diseases, University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy
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Leopold JH, Bos LDJ, Sterk PJ, Schultz MJ, Fens N, Horvath I, Bikov A, Montuschi P, Di Natale C, Yates DH, Abu-Hanna A. Comparison of classification methods in breath analysis by electronic nose. J Breath Res 2015; 9:046002. [DOI: 10.1088/1752-7155/9/4/046002] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Bikov A, Lázár Z, Horvath I. Established methodological issues in electronic nose research: how far are we from using these instruments in clinical settings of breath analysis? J Breath Res 2015; 9:034001. [DOI: 10.1088/1752-7155/9/3/034001] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Scarlata S, Pennazza G, Santonico M, Pedone C, Antonelli Incalzi R. Exhaled breath analysis by electronic nose in respiratory diseases. Expert Rev Mol Diagn 2015; 15:933-56. [PMID: 25959642 DOI: 10.1586/14737159.2015.1043895] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Breath analysis via electronic nose is a technique oriented around volatile organic compound (VOC) profiling in exhaled breath for diagnostic and prognostic purposes. This approach, when supported by methodologies for VOC identification, has been often referred to as metabolomics or breathomics. Although breath analysis may have a substantial impact on clinical practice, as it may allow early diagnosis and large-scale screening strategies while being noninvasive and inexpensive, some technical and methodological limitations must be solved, together with crucial interpretative issues. By integrating a review of the currently available literature with more speculative arguments about the potential interpretation and application of VOC analysis, the authors aim to provide an overview of the main relevant aspects of this promising field of research.
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Affiliation(s)
- Simone Scarlata
- Unit of Respiratory Pathophysiology, Campus Bio-Medico University and Teaching Hospital, Via Alvaro del Portillo 200 - 00128, Rome, Italy
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Bikov A, Hernadi M, Korosi BZ, Kunos L, Zsamboki G, Sutto Z, Tarnoki AD, Tarnoki DL, Losonczy G, Horvath I. Expiratory flow rate, breath hold and anatomic dead space influence electronic nose ability to detect lung cancer. BMC Pulm Med 2014; 14:202. [PMID: 25510554 PMCID: PMC4289562 DOI: 10.1186/1471-2466-14-202] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2013] [Accepted: 12/11/2014] [Indexed: 02/06/2023] Open
Abstract
Background Electronic noses are composites of nanosensor arrays. Numerous studies showed their potential to detect lung cancer from breath samples by analysing exhaled volatile compound pattern (“breathprint”). Expiratory flow rate, breath hold and inclusion of anatomic dead space may influence the exhaled levels of some volatile compounds; however it has not been fully addressed how these factors affect electronic nose data. Therefore, the aim of the study was to investigate these effects. Methods 37 healthy subjects (44 ± 14 years) and 27 patients with lung cancer (60 ± 10 years) participated in the study. After deep inhalation through a volatile organic compound filter, subjects exhaled at two different flow rates (50 ml/sec and 75 ml/sec) into Teflon-coated bags. The effect of breath hold was analysed after 10 seconds of deep inhalation. We also studied the effect of anatomic dead space by excluding this fraction and comparing alveolar air to mixed (alveolar + anatomic dead space) air samples. Exhaled air samples were processed with Cyranose 320 electronic nose. Results Expiratory flow rate, breath hold and the inclusion of anatomic dead space significantly altered “breathprints” in healthy individuals (p < 0.05), but not in lung cancer (p > 0.05). These factors also influenced the discrimination ability of the electronic nose to detect lung cancer significantly. Conclusions We have shown that expiratory flow, breath hold and dead space influence exhaled volatile compound pattern assessed with electronic nose. These findings suggest critical methodological recommendations to standardise sample collections for electronic nose measurements.
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Affiliation(s)
- Andras Bikov
- Department of Pulmonology, Semmelweis University, 1/C Dios arok, Budapest 1125, Hungary.
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Evening and morning exhaled volatile compound patterns are different in obstructive sleep apnoea assessed with electronic nose. Sleep Breath 2014; 19:247-53. [DOI: 10.1007/s11325-014-1003-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Revised: 04/27/2014] [Accepted: 05/02/2014] [Indexed: 01/20/2023]
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Di Natale C, Paolesse R, Martinelli E, Capuano R. Solid-state gas sensors for breath analysis: a review. Anal Chim Acta 2014; 824:1-17. [PMID: 24759744 DOI: 10.1016/j.aca.2014.03.014] [Citation(s) in RCA: 161] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Revised: 03/10/2014] [Accepted: 03/12/2014] [Indexed: 01/21/2023]
Abstract
The analysis of volatile compounds is an efficient method to appraise information about the chemical composition of liquids and solids. This principle is applied to several practical applications, such as food analysis where many important features (e.g. freshness) can be directly inferred from the analysis of volatile compounds. The same approach can also be applied to a human body where the volatile compounds, collected from the skin, the breath or in the headspace of fluids, might contain information that could be used to diagnose several kinds of diseases. In particular, breath is widely studied and many diseases can be potentially detected from breath analysis. The most fascinating property of breath analysis is the non-invasiveness of the sample collection. Solid-state sensors are considered the natural complement to breath analysis, matching the non-invasiveness with typical sensor features such as low-cost, easiness of use, portability, and the integration with the information networks. Sensors based breath analysis is then expected to dramatically extend the diagnostic capabilities enabling the screening of large populations for the early diagnosis of pathologies. In the last years there has been an increased attention to the development of sensors specifically aimed to this purpose. These investigations involve both specific sensors designed to detect individual compounds and non-specific sensors, operated in array configurations, aimed at clustering subjects according to their health conditions. In this paper, the recent significant applications of these sensors to breath analysis are reviewed and discussed.
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Affiliation(s)
- Corrado Di Natale
- Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, Roma 00133, Italy.
| | - Roberto Paolesse
- Department of Chemical Science and Technology, University of Rome Tor Vergata, via della Ricerca Scientifica, Roma 00133, Italy
| | - Eugenio Martinelli
- Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, Roma 00133, Italy
| | - Rosamaria Capuano
- Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, Roma 00133, Italy
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Bikov A, Galffy G, Tamasi L, Bartusek D, Antus B, Losonczy G, Horvath I. Exhaled breath condensate pH decreases during exercise-induced bronchoconstriction. Respirology 2014; 19:563-9. [PMID: 24612285 DOI: 10.1111/resp.12248] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2013] [Revised: 09/17/2013] [Accepted: 12/24/2013] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND OBJECTIVE Exercise-induced bronchoconstriction (EIB) is the temporary narrowing of the airways caused by physical exercise. Its exact pathophysiology is unclear; however, acute changes in airways pH may play a role. Exhaled breath condensate (EBC) pH was suggested as a surrogate indicator for airway acid-base status, but its value is also affected by volatile molecules and respiratory droplet dilution. The aim of the study was to assess changes in EBC pH during EIB. METHODS Twenty-two asthmatics who reported breathlessness following exercise and 16 healthy individuals participated in the study. Lung function test was performed and exhaled breath samples were collected for pH, dilution factor and volatile compound pattern measurements (Cyranose 320) pre-exercise and at 0, 10, 20 and 30 min after physical exercise challenge. Fractional exhaled nitric oxide was measured before exercise. RESULTS EIB developed in 13 asthmatic subjects. In these participants, but not in the EIB-negative asthmatics (P = 0.51), EBC pH reduced significantly during exercise (P = 0.01). In addition, changes in EBC pH were related to the degree of bronchospasm in the EIB-positive group (P = 0.01, r = 0.68). Exhaled volatile pattern became altered (P < 0.05) during exercise in all subjects (asthmatics and controls). EBC pH changes were not related to EBC dilution or volatile compound pattern alterations (P > 0.05). CONCLUSIONS The development of EIB was related to acute changes of EBC pH, which suggest the role of airway pH decrease in the pathophysiology of EIB. Exercise-induced changes in exhaled biomarkers suggest methodological precautions to avoid physical exercise before performing exhaled breath tests.
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Affiliation(s)
- Andras Bikov
- Department of Pulmonology, Semmelweis University, Budapest, Hungary
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Tarnoki DL, Bikov A, Tarnoki AD, Lazar Z, Szilagyi BK, Korosi BZ, Horvath T, Littvay L, Losonczy G, Horvath I. Lack of heritability of exhaled volatile compound pattern: an electronic nose twin study. J Breath Res 2014; 8:016001. [PMID: 24421262 DOI: 10.1088/1752-7155/8/1/016001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Electronic noses can distinguish various disorders by analyzing exhaled volatile organic compound (VOC) pattern; however it is unclear how hereditary and environmental backgrounds affect the exhaled VOC pattern. A twin study enrolling monozygotic (MZ) and dizygotic (DZ) twins is an ideal tool to separate the influence of these factors on the exhaled breath pattern. Exhaled breath samples were collected in duplicates from 28 never smoking twin pairs (in total 112 samples) without lung diseases and processed with an electronic nose (Cyranose 320). Univariate quantitative hereditary modeling (ACE analysis) adjusted for age and gender was performed to decompose the phenotypic variance of the exhaled volatile compound pattern (assessing principal components (PCs) derived from electronic nose data) into hereditary (A), shared (C), and unshared (E) environmental effects. Exhaled VOC pattern showed good intra-subject reproducibility as assessed with the Bland-Altman plot. Significant correlations were found between exhaled VOC patterns of both MZ and DZ twins. The hereditary background did not influence the VOC pattern. The shared environmental effect on PC 1, 2 and 3 was estimated to be 93%, 94% and 54%, respectively. The unshared (unique) environmental influence explained a smaller variance (7%, 6% and 46%). For the first time using the twin design, we have shown that the environmental background largely affects the exhaled volatile compound pattern in never smoking volunteers without respiratory disorders. Further studies should identify these environmental factors and also assess their influence on exhaled breath patterns in patients with lung diseases.
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Affiliation(s)
- David Laszlo Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, 78/A Ulloi street, Budapest 1082, Hungary
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