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Fung NH, Nguyen QA, Owczarek C, Wilson N, Doomun NE, De Souza D, Quinn K, Selemidis S, McQualter J, Vlahos R, Wang H, Bozinovski S. Early-life house dust mite aeroallergen exposure augments cigarette smoke-induced myeloid inflammation and emphysema in mice. Respir Res 2024; 25:161. [PMID: 38614991 PMCID: PMC11016214 DOI: 10.1186/s12931-024-02774-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/14/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Longitudinal studies have identified childhood asthma as a risk factor for obstructive pulmonary disease (COPD) and asthma-COPD overlap (ACO) where persistent airflow limitation can develop more aggressively. However, a causal link between childhood asthma and COPD/ACO remains to be established. Our study aimed to model the natural history of childhood asthma and COPD and to investigate the cellular/molecular mechanisms that drive disease progression. METHODS Allergic airways disease was established in three-week-old young C57BL/6 mice using house dust mite (HDM) extract. Mice were subsequently exposed to cigarette smoke (CS) and HDM for 8 weeks. Airspace enlargement (emphysema) was measured by the mean linear intercept method. Flow cytometry was utilised to phenotype lung immune cells. Bulk RNA-sequencing was performed on lung tissue. Volatile organic compounds (VOCs) in bronchoalveolar lavage-fluid were analysed to screen for disease-specific biomarkers. RESULTS Chronic CS exposure induced emphysema that was significantly augmented by HDM challenge. Increased emphysematous changes were associated with more abundant immune cell lung infiltration consisting of neutrophils, interstitial macrophages, eosinophils and lymphocytes. Transcriptomic analyses identified a gene signature where disease-specific changes induced by HDM or CS alone were conserved in the HDM-CS group, and further revealed an enrichment of Mmp12, Il33 and Il13, and gene expression consistent with greater expansion of alternatively activated macrophages. VOC analysis also identified four compounds increased by CS exposure that were paradoxically reduced in the HDM-CS group. CONCLUSIONS Early-life allergic airways disease worsened emphysematous lung pathology in CS-exposed mice and markedly alters the lung transcriptome.
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Affiliation(s)
- Nok Him Fung
- Centre for Respiratory Science & Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Australia
| | - Quynh Anh Nguyen
- Centre for Respiratory Science & Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Australia
| | - Catherine Owczarek
- Research and Development, CSL Limited, Bio21 Institute, Melbourne, Australia
| | - Nick Wilson
- Research and Development, CSL Limited, Bio21 Institute, Melbourne, Australia
| | - Nadeem Elahee Doomun
- Metabolomics Australia, Bio21 Institute, University of Melbourne, Melbourne, Australia
| | - David De Souza
- Metabolomics Australia, Bio21 Institute, University of Melbourne, Melbourne, Australia
| | - Kylie Quinn
- Centre for Respiratory Science & Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Australia
| | - Stavros Selemidis
- Centre for Respiratory Science & Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Australia
| | - Jonathan McQualter
- Centre for Respiratory Science & Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Australia
| | - Ross Vlahos
- Centre for Respiratory Science & Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Australia
| | - Hao Wang
- Centre for Respiratory Science & Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Australia.
| | - Steven Bozinovski
- Centre for Respiratory Science & Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Australia.
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Habibzadeh A, Ostovan VR, Keshavarzian O, Kardeh S, Mahmoudi SS, Zakeri MR, Tabrizi R. Volatile organic compounds analysis as promising biomarkers for Parkinson's disease diagnosis: A systematic review and meta-analysis. Clin Neurol Neurosurg 2023; 235:108022. [PMID: 37939618 DOI: 10.1016/j.clineuro.2023.108022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/26/2023] [Accepted: 10/24/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE Researchers are investigating the potential of volatile organic compounds (VOCs) obtained from exhaled breath and sebum as non-invasive tools for early Parkinson's disease (PD) diagnosis. The present study aims to assess the feasibility of using VOC analysis for PD diagnosis and determine the overall diagnostic accuracy of the proposed tests. METHODS We performed systematic searches based on the PRISMA guidelines to identify relevant studies on VOCs in PD diagnosis using exhaled breath or sebum samples. The selected articles were described, and meta-analysis was conducted on those that provided the sensitivity and specificity data. RESULTS Out of 1268 articles initially identified, 8 met the inclusion criteria and provided specific sensitivity and specificity data for PD, which were included in the current meta-analysis. The pooled analysis of these findings showed a mean area under the receiver operating characteristic curve of 0.85, a sensitivity of 0.81 (95% confidence interval (CI): 0.72, 0.88), and a specificity of 0.76 (95% CI: 0.66, 0.84). CONCLUSION The analysis of VOCs in exhaled breath and sebum has shown promise as a new avenue for non-invasive diagnosis of PD. VOCs' ability to distinguish PD from healthy controls suggests their potential clinical application in screening for the disease. Consequently, VOCs hold significant potential as biomarkers for PD diagnosis and offer a promising novel approach to identifying and diagnosing the condition.
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Affiliation(s)
- Adrina Habibzadeh
- Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran; USERN Office, Fasa University of Medical Sciences, Fasa, Iran
| | - Vahid Reza Ostovan
- Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Omid Keshavarzian
- School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sina Kardeh
- Central Clinical School, Monash University, Melbourne, Australia
| | - Seyed Sasan Mahmoudi
- Student Research Committee, Department of Neurosurgery, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohamad-Reza Zakeri
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Tabrizi
- USERN Office, Fasa University of Medical Sciences, Fasa, Iran; Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran; Clinical Research Development Unit, Valiasr Hospital, Fasa University of Medical Sciences, Fasa, Iran.
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3
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V. R. N, Mohapatra AK, Kartha VB, Chidangil S. Multiwavelength Photoacoustic Breath Analysis Sensor for the Diagnosis of Lung Diseases: COPD and Asthma. ACS Sens 2023; 8:4111-4120. [PMID: 37871260 PMCID: PMC10683506 DOI: 10.1021/acssensors.3c01316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/01/2023] [Accepted: 10/11/2023] [Indexed: 10/25/2023]
Abstract
Breath analysis is emerging as a universal diagnostic method for clinical applications. The possibility of breath analysis is being explored vigorously using different analytical techniques. We have designed and assembled a multiwavelength UV photoacoustic spectroscopy (PAS) sensor for the said application. To optimize laser wavelength for sample excitation, photoacoustic signals from disease and normal conditions are recorded with different laser excitations (213, 266, 355, and 532 nm) on exhaled breath samples. Principal component analysis (PCA) of the PA signals has shown that 213, 266, and 355 nm laser excitations are suitable for breath analysis, with reliable descriptive statistics obtained for 266 nm laser. The study has, therefore, been extended for breath samples collected from asthma, chronic obstructive pulmonary disease (COPD), and normal subjects, using 266 nm laser excitation. PCA of the PA data shows good classification among asthma, COPD, and normal subjects. Match/No-match study performed with asthma, COPD, and normal calibration set has demonstrated the potential of using this method for diagnostic application. Sensitivity and specificity are observed as 88 and 89%, respectively. The area under the curve of the ROC curve is found to be 0.948, which justifies the diagnostic capability of the device for lung diseases. The same samples were studied using a commercial E-Nose, and the measurement outcome strongly supports the PAS results.
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Affiliation(s)
- Nidheesh V. R.
- Centre
of Excellence for Biophotonics, Department of Atomic and Molecular
Physics, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Aswini Kumar Mohapatra
- Department
of Respiratory Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Vasudevan Baskaran Kartha
- Centre
of Excellence for Biophotonics, Department of Atomic and Molecular
Physics, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Santhosh Chidangil
- Centre
of Excellence for Biophotonics, Department of Atomic and Molecular
Physics, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
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Li Y, Wei X, Zhou Y, Wang J, You R. Research progress of electronic nose technology in exhaled breath disease analysis. Microsyst Nanoeng 2023; 9:129. [PMID: 37829158 PMCID: PMC10564766 DOI: 10.1038/s41378-023-00594-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 10/14/2023]
Abstract
Exhaled breath analysis has attracted considerable attention as a noninvasive and portable health diagnosis method due to numerous advantages, such as convenience, safety, simplicity, and avoidance of discomfort. Based on many studies, exhaled breath analysis is a promising medical detection technology capable of diagnosing different diseases by analyzing the concentration, type and other characteristics of specific gases. In the existing gas analysis technology, the electronic nose (eNose) analysis method has great advantages of high sensitivity, rapid response, real-time monitoring, ease of use and portability. Herein, this review is intended to provide an overview of the application of human exhaled breath components in disease diagnosis, existing breath testing technologies and the development and research status of electronic nose technology. In the electronic nose technology section, the three aspects of sensors, algorithms and existing systems are summarized in detail. Moreover, the related challenges and limitations involved in the abovementioned technologies are also discussed. Finally, the conclusion and perspective of eNose technology are presented.
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Affiliation(s)
- Ying Li
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Xiangyang Wei
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Yumeng Zhou
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Jing Wang
- School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, 130022 China
| | - Rui You
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
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5
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Zhai Y, Fu X, Xu W. Miniature mass spectrometers and their potential for clinical point-of-care analysis. Mass Spectrom Rev 2023. [PMID: 37610153 DOI: 10.1002/mas.21867] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/04/2023] [Accepted: 08/11/2023] [Indexed: 08/24/2023]
Abstract
Mass spectrometry (MS) has become a powerful technique for clinical applications with high sensitivity and specificity. Different from conventional MS diagnosis in laboratory, point-of-care (POC) analyses in clinics require mass spectrometers and analytical procedures to be friendly for novice users and applicable for on-site clinical diagnosis. The recent decades have seen the progress in the development of miniature mass spectrometers, providing a promising solution for clinical POC applications. In this review, we report recent advances of miniature mass spectrometers and their exploration in clinical applications, mainly including the rapid analysis of illegal drugs, on-site monitoring of therapeutic drugs, and detection of biomarkers. With improved analytical performance, miniature mass spectrometers are also expected to apply to more and more clinical applications. Some promising POC analyses that can be performed by miniature mass spectrometers in the future are discussed. Lastly, we also provide our perspectives on the challenges in technical development of miniature mass spectrometers for clinical POC analysis.
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Affiliation(s)
- Yanbing Zhai
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Xinyan Fu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Wei Xu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
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6
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Lv JJ, Li XY, Shen YC, You JX, Wen MZ, Wang JB, Yang XT. Assessing volatile organic compounds exposure and chronic obstructive pulmonary diseases in US adults. Front Public Health 2023; 11:1210136. [PMID: 37475768 PMCID: PMC10354632 DOI: 10.3389/fpubh.2023.1210136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/13/2023] [Indexed: 07/22/2023] Open
Abstract
Background Volatile organic compounds (VOCs) are a large group of chemicals widely used in People's Daily life. There is increasing evidence of the cumulative toxicity of VOCs. However, the association between VOCs and the risk of COPD has not been reported. Objective We comprehensively evaluated the association between VOCs and COPD. Methods Our study included a total of 1,477 subjects from the National Health and Nutrition Examination Survey, including VOCs, COPD, and other variables in the average US population. Multiple regression models and smooth-curve fitting (penalty splines) were constructed to examine potential associations, and stratified analyses were used to identify high-risk groups. Results We found a positive association between blood benzene and blood o-xylene concentrations and COPD risk and identified a concentration relationship between the two. That is, when the blood benzene and O-xylene concentrations reached 0.28 ng/mL and 0.08 ng/mL, respectively, the risk of COPD was the highest. In addition, we found that gender, age, and MET influence the relationship, especially in women, young people, and people with low MET. Significance This study revealed that blood benzene and blood o-xylene were independently and positively correlated with COPD risk, suggesting that long-term exposure to benzene and O-xylene may cause pulmonary diseases, and providing a new standard of related blood VOCs concentration for the prevention of COPD.
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Affiliation(s)
- Jia-jie Lv
- Department of Interventional Therapy, Multidisciplinary Team of Vascular Anomalies, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xin-yu Li
- Department of Interventional Therapy, Multidisciplinary Team of Vascular Anomalies, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
- Department of Neurosurgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yu-chen Shen
- Department of Interventional Therapy, Multidisciplinary Team of Vascular Anomalies, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jian-xiong You
- Department of Interventional Therapy, Multidisciplinary Team of Vascular Anomalies, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ming-zhe Wen
- Department of Interventional Therapy, Multidisciplinary Team of Vascular Anomalies, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jing-bing Wang
- Department of Interventional Therapy, Multidisciplinary Team of Vascular Anomalies, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xi-tao Yang
- Department of Interventional Therapy, Multidisciplinary Team of Vascular Anomalies, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai, China
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7
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Ray B, Parmar S, Vijayan V, Vishwakarma S, Datar S. Detection of trace volatile organic compounds in spiked breath samples: a leap towards breathomics. Nanotechnology 2022; 33:205505. [PMID: 35042201 DOI: 10.1088/1361-6528/ac4c5e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/18/2022] [Indexed: 06/14/2023]
Abstract
Breathomics is the future of non-invasive point-of-care devices. The field of breathomics can be split into the isolation of disease-specific volatile organic compounds (VOCs) and their detection. In the present work, an array of five quartz tuning fork (QTF)-based sensors modified by polymer with nanomaterial additive has been utilized. The array has been used to detect samples of human breath spiked with ∼0.5 ppm of known VOCs namely, acetone, acetaldehyde, octane, decane, ethanol, methanol, styrene, propylbenzene, cyclohexanone, butanediol, and isopropyl alcohol which are bio-markers for certain diseases. Polystyrene was used as the base polymer and it was functionalized with 4 different fillers namely, silver nanoparticles-reduced graphene oxide composite, titanium dioxide nanoparticles, zinc ferrite nanoparticles-reduced graphene oxide composite, and cellulose acetate. Each of these fillers enhanced the selectivity of a particular sensor towards a certain VOC compared to the pristine polystyrene-modified sensor. Their interaction with the VOCs in changing the mechanical properties of polymer giving rise to change in the resonant frequency of QTF is used as sensor response for detection. The interaction of functionalized polymers with VOCs was analyzed by FTIR and UV-vis spectroscopy. The collective sensor response of five sensors is used to identify VOCs using an ensemble classifier with 92.8% accuracy of prediction. The accuracy of prediction improved to 96% when isopropyl alcohol, ethanol, and methanol were considered as one class.
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Affiliation(s)
- Bishakha Ray
- Department of Applied Physics, Defence Institute of Advanced Technology, Pune, MH, 411025, India
| | - Saurabh Parmar
- Department of Applied Physics, Defence Institute of Advanced Technology, Pune, MH, 411025, India
| | - Varsha Vijayan
- Department of Applied Physics, Defence Institute of Advanced Technology, Pune, MH, 411025, India
| | - Satyendra Vishwakarma
- Department of Applied Physics, Defence Institute of Advanced Technology, Pune, MH, 411025, India
| | - Suwarna Datar
- Department of Applied Physics, Defence Institute of Advanced Technology, Pune, MH, 411025, India
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Issitt T, Wiggins L, Veysey M, Sweeney S, Brackenbury W, Redeker K. Volatile compounds in human breath: critical review and meta-analysis. J Breath Res 2022; 16. [PMID: 35120340 DOI: 10.1088/1752-7163/ac5230] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/04/2022] [Indexed: 11/12/2022]
Abstract
Volatile compounds contained in human breath reflect the inner workings of the body. A large number of studies have been published that link individual components of breath to disease, but diagnostic applications remain limited, in part due to inconsistent and conflicting identification of breath biomarkers. New approaches are therefore required to identify effective biomarker targets. Here, volatile organic compounds have been identified in the literature from four metabolically and physiologically distinct diseases and grouped into chemical functional groups (e.g. - methylated hydrocarbons or aldehydes; based on known metabolic and enzymatic pathways) to support biomarker discovery and provide new insight on existing data. Using this functional grouping approach, principal component analysis doubled explanatory capacity from 19.1% to 38% relative to single individual compound approaches. Random forest and linear discriminant analysis reveal 93% classification accuracy for cancer. This review and meta-analysis provides insight for future research design by identifying volatile functional groups associated with disease. By incorporating our understanding of the complexities of the human body, along with accounting for variability in methodological and analytical approaches, this work demonstrates that a suite of targeted, functional volatile biomarkers, rather than individual biomarker compounds, will improve accuracy and success in diagnostic research and application.
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Affiliation(s)
- Theo Issitt
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Laura Wiggins
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Martin Veysey
- The University of Newcastle, School of Medicine & Public Health, Callaghan, New South Wales, 2308, AUSTRALIA
| | - Sean Sweeney
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - William Brackenbury
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Kelly Redeker
- Biology, University of York, Biology Dept. University of York, York, York, North Yorkshire, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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Paleczek A, Rydosz AM. Review of the algorithms used in exhaled breath analysis for the detection of diabetes. J Breath Res 2022; 16. [PMID: 34996056 DOI: 10.1088/1752-7163/ac4916] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 01/07/2022] [Indexed: 11/11/2022]
Abstract
Currently, intensive work is underway on the development of truly noninvasive medical diagnostic systems, including respiratory analysers based on the detection of biomarkers of several diseases including diabetes. In terms of diabetes, acetone is considered as a one of the potential biomarker, although is not the single one. Therefore, the selective detection is crucial. Most often, the analysers of exhaled breath are based on the utilization of several commercially available gas sensors or on specially designed and manufactured gas sensors to obtain the highest selectivity and sensitivity to diabetes biomarkers present in the exhaled air. An important part of each system are the algorithms that are trained to detect diabetes based on data obtained from sensor matrices. The prepared review of the literature showed that there are many limitations in the development of the versatile breath analyser, such as high metabolic variability between patients, but the results obtained by researchers using the algorithms described in this paper are very promising and most of them achieve over 90% accuracy in the detection of diabetes in exhaled air. This paper summarizes the results using various measurement systems, feature extraction and feature selection methods as well as algorithms such as Support Vector Machines, k-Nearest Neighbours and various variations of Neural Networks for the detection of diabetes in patient samples and simulated artificial breath samples.
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Affiliation(s)
- Anna Paleczek
- Institute of Electronics, AGH University of Science and Technology Faculty of Computer Science Electronics and Telecommunications, al. A. Mickiewicza 30, Krakow, 30-059, POLAND
| | - Artur Maciej Rydosz
- Institute of Electronics, AGH University of Science and Technology Faculty of Computer Science Electronics and Telecommunications, Al. Mickiewicza 30, Krakow, 30-059, POLAND
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Cämmerer M, Mayer T, Borsdorf H. Drift Time Corrections Based on a Practical Measurement of the Depletion Zone to Allow Accurate and Reproducible Determination of the Reduced Mobility of Ions in DT-IMS. J Am Soc Mass Spectrom 2022; 33:74-82. [PMID: 34851630 DOI: 10.1021/jasms.1c00272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The reduced mobility of an ion is a key parameter for identifying ions and comparing spectra in drift time ion mobility spectrometry. As the resolution of spectrometers improves, accurate determination of the reduced mobility is increasingly important. The drift time, used to calculate the reduced mobility, is affected by the ion gate, and this effect has previously been compensated with a linear correction. These corrections, however, do not allow for changes in the distances that the ions must drift to reach the detector caused by the electric field around the ion gate. As these corrections are a linear correction, nonlinearity in the influence of the ion gate may also lead to greater errors. By measuring the length of the depletion zone in front of the ion gate the extra distance traveled by the ions may be corrected for. This measurement also provides the boundary conditions for when a correction to the drift time may be accurately applied. This work shows that the length of the depletion zone can be experimentally measured and that it is consistent for a particular geometry of ion gate.
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Affiliation(s)
- Malcolm Cämmerer
- Helmholtz-Zentrum für Umweltforschung GmbH - UFZ, Permoserstrasse 15, 04318 Leipzig, Germany
| | - Thomas Mayer
- Helmholtz-Zentrum für Umweltforschung GmbH - UFZ, Permoserstrasse 15, 04318 Leipzig, Germany
| | - Helko Borsdorf
- Helmholtz-Zentrum für Umweltforschung GmbH - UFZ, Permoserstrasse 15, 04318 Leipzig, Germany
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Rankin-Turner S, McMeniman CJ. A headspace collection chamber for whole body volatilomics. Analyst 2022; 147:5210-5222. [DOI: 10.1039/d2an01227h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The human body secretes a complex blend of volatile organic compounds (VOCs) via the skin, breath and bodily fluids. In this study, we have developed a headspace collection chamber for whole body volatilome profiling.
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Affiliation(s)
- Stephanie Rankin-Turner
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Conor J. McMeniman
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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Mohan D, Keir HR, Richardson H, Mayhew D, Boyer J, van der Schee MP, Allsworth MD, Miller BE, Tal-Singer R, Chalmers JD. Exhaled volatile organic compounds and lung microbiome in COPD: a pilot randomised controlled trial. ERJ Open Res 2021; 7:00253-2021. [PMID: 34616836 PMCID: PMC8488227 DOI: 10.1183/23120541.00253-2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 07/19/2021] [Indexed: 11/17/2022] Open
Abstract
Background Breath analysis is a burgeoning field, with interest in volatile organic compounds (VOCs) as a noninvasive diagnostic tool or an outcome measure, but no randomised controlled trials (RCTs) have yet evaluated this technology in a clinical trial longitudinally. In a pilot RCT, our exploratory objectives were feasibility of measuring VOCs via multiple techniques, assessing relationships between VOCs and Haemophilus colonisation and whether CXCR2 antagonism with danirixin altered lung microbiome composition in individuals with COPD. Method 43 participants had VOCs and sputum biomarkers evaluated. VOCs and induced sputum were collected after 6 h of fasting at screening and at days 1, 7 and 14. VOCs were analysed via gas chromatography mass spectrometry (GC-MS), field asymmetric ion mobility spectrometry (FAIMS) and eNose. The primary outcome for these analyses was the relationship between VOCs and Haemophilus abundance determined by 16S rRNA sequencing. Results A joint-effects model demonstrated a modest relationship between four exhaled VOCs and Haemophilus relative abundance (R2=0.55) measured only by GC-MS, but not as measured using gas chromtaography FAIMS or eNose. There was considerable variability in absolute quantities of individual VOCs longitudinally. Conclusions VOC measurement in clinical trials to identify subsets of COPD is feasible, but assessment of new VOC technologies must include concurrent GC-MS validation. Further work to standardise collection of VOCs and measuring a background or “housekeeper” VOC is required to understand and normalise individual VOC quantities. VOC measurement in clinical trials to identify COPD subsets is feasible, but assessment of VOC technologies must include concurrent GC-MS validation. Further work to standardise collection of VOCs and measure a background or “housekeeper” VOC is required.https://bit.ly/3BNyKvS
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Affiliation(s)
| | - Holly R Keir
- Ninewells Clinical Research Centre, University of Dundee, Dundee, UK
| | | | | | | | | | | | | | | | - James D Chalmers
- Ninewells Clinical Research Centre, University of Dundee, Dundee, UK
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13
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Ibrahim W, Natarajan S, Wilde M, Cordell R, Monks PS, Greening N, Brightling CE, Evans R, Siddiqui S. A systematic review of the diagnostic accuracy of volatile organic compounds in airway diseases and their relation to markers of type-2 inflammation. ERJ Open Res 2021; 7:00030-2021. [PMID: 34476250 PMCID: PMC8405872 DOI: 10.1183/23120541.00030-2021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 03/27/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Asthma and COPD continue to cause considerable diagnostic and treatment stratification challenges. Volatile organic compounds (VOCs) have been proposed as feasible diagnostic and monitoring biomarkers in airway diseases. AIMS To 1) conduct a systematic review evaluating the diagnostic accuracy of VOCs in diagnosing airway diseases; 2) understand the relationship between reported VOCs and biomarkers of type-2 inflammation; 3) assess the standardisation of reporting according to STARD and TRIPOD criteria; 4) review current methods of breath sampling and analysis. METHODS A PRISMA-oriented systematic search was conducted (January 1997 to December 2020). Search terms included: "asthma", "volatile organic compound(s)", "VOC" and "COPD". Two independent reviewers examined the extracted titles against review objectives. RESULTS 44 full-text papers were included; 40/44 studies were cross-sectional and four studies were interventional in design; 17/44 studies used sensor-array technologies (e.g. eNose). Cross-study comparison was not possible across identified studies due to the heterogeneity in design. The commonest airway diseases differentiating VOCs belonged to carbonyl-containing classes (i.e. aldehydes, esters and ketones) and hydrocarbons (i.e. alkanes and alkenes). Although individual markers that are associated with clinical biomarkers of type-2 inflammation were recognised (i.e. ethane and 3,7-dimethylnonane for asthma and α-methylstyrene and decane for COPD), these were not consistently identified across studies. Only 3/44 reported following STARD or TRIPOD criteria for diagnostic accuracy and multivariate reporting, respectively. CONCLUSIONS Breath VOCs show promise as diagnostic biomarkers of airway diseases and for type-2 inflammation profiling. However, future studies should focus on transparent reporting of diagnostic accuracy and multivariate models and continue to focus on chemical identification of volatile metabolites.
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Affiliation(s)
- Wadah Ibrahim
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
- Dept of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- These authors contributed equally
| | - Sushiladevi Natarajan
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
- Dept of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- These authors contributed equally
| | - Michael Wilde
- Dept of Chemistry, University of Leicester, Leicester, UK
| | | | - Paul S. Monks
- Dept of Chemistry, University of Leicester, Leicester, UK
| | - Neil Greening
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
- Dept of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Christopher E. Brightling
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
- Dept of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Rachael Evans
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
- Dept of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Salman Siddiqui
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK
- Dept of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- See Acknowledgements for contributors
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14
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Li Z, Li Y, Zhan L, Meng L, Huang X, Wang T, Li Y, Nie Z. Point-of-Care Test Paper for Exhaled Breath Aldehyde Analysis via Mass Spectrometry. Anal Chem 2021; 93:9158-9165. [PMID: 34162204 DOI: 10.1021/acs.analchem.1c01011] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Volatile organic compounds (VOCs) from exhaled breath (EB) are considered to be promising biomarkers for lung diseases. A convenient and sensitive point-of-care (POC) testing method for EB VOCs is essential. Here, we developed a POC test paper for the analysis of EB aldehydes, which are potential biomarkers for lung cancer. A probe molecule, 4-aminothiophenol (4-ATP), was anchored on a paper substrate to specifically capture gas-phase aldehydes through the Schiff base reaction. Meanwhile, thin-film reaction acceleration was utilized to increase capture efficiency. By directly coupling the test paper to a mass spectrometer through paper spray, high sensitivity (0.1 ppt) and a wide quantification linear range (from 10 ppt to 1 ppm) were obtained. Analysis of EB from lung cancer patients with the test paper showed a significant increase in several reported aldehyde markers compared to EB from healthy volunteers, indicating the potential of this method for sensitive, low-cost, and convenient lung cancer screening and diagnosis.
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Affiliation(s)
- Zhengzhou Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuze Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lingpeng Zhan
- Institute of Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Lingwei Meng
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xi Huang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Tie Wang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yafeng Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Zongxiu Nie
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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15
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Paleczek A, Grochala D, Rydosz A. Artificial Breath Classification Using XGBoost Algorithm for Diabetes Detection. Sensors (Basel) 2021; 21:s21124187. [PMID: 34207196 PMCID: PMC8234852 DOI: 10.3390/s21124187] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 06/13/2021] [Accepted: 06/17/2021] [Indexed: 11/16/2022]
Abstract
Exhaled breath analysis has become more and more popular as a supplementary tool for medical diagnosis. However, the number of variables that have to be taken into account forces researchers to develop novel algorithms for proper data interpretation. This paper presents a system for analyzing exhaled air with the use of various sensors. Breath simulations with acetone as a diabetes biomarker were performed using the proposed e-nose system. The XGBoost algorithm for diabetes detection based on artificial breath analysis is presented. The results have shown that the designed system based on the XGBoost algorithm is highly selective for acetone, even at low concentrations. Moreover, in comparison with other commonly used algorithms, it was shown that XGBoost exhibits the highest performance and recall.
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16
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Segreti A, Incalzi RA, Lombardi M, Miglionico M, Nusca A, Pennazza G, Santonico M, Grasso S, Grigioni F, Di Sciascio G. Characterization of inflammatory profile by breath analysis in chronic coronary syndromes. J Cardiovasc Med (Hagerstown) 2021; 21:675-681. [PMID: 32740499 DOI: 10.2459/jcm.0000000000001032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AIMS Exhaled breath contains thousands of volatile organic compounds (VOCs) produced during various metabolic processes both in health and disease.Analysis of breath with electronic nose BIONOTE-V allows modifications of exhaled VOCs to be studied, which are clinically recognized to be a marker for several disorders, including heart failure. New noninvasive tests based on VOCs analysis might be a useful tool for early detection of chronic coronary syndromes (CCS). METHODS Exhaled air was collected and measured in individuals with an indication to perform invasive coronary angiography (ICA). All patients' samples were obtained before ICA. RESULTS Analysis with BIONOTE-V was performed in a total cohort of 42 patients consecutively enrolled, of whom 19 did not require myocardial revascularization and 23 with indication for myocardial revascularization. BIONOTE-V was able to correctly identify 18 out of 23 patients affected by severe coronary artery disease (sensitivity = 78.3% and specificity = 68.4%). Our predicted model had a tight correlation with SYNTAX score (error of the BIONOTE-V = 15). CONCLUSION CCS patients have a distinctive fingerprint of exhaled breath, and analysis by BIONOTE-V has the potential for identifying these patients. Moreover, it seems that this technique can correctly identify patients according to anatomical disease severity at ICA. If the preliminary data of this proof of concept study will be confirmed, this rapid and noninvasive diagnostic tool able to identify CCS might have an impact in routine clinical practice.
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Affiliation(s)
| | | | | | | | | | - Giorgio Pennazza
- Unit of Cardiovascular Sciences, Campus Bio-Medico University of Rome, Rome, Italy
| | - Marco Santonico
- Unit of Electronics for Sensor Systems, Department of Science and Technology for Humans and the Environment, Campus Bio-Medico University of Rome, Rome, Italy
| | - Simone Grasso
- Unit of Electronics for Sensor Systems, Department of Science and Technology for Humans and the Environment, Campus Bio-Medico University of Rome, Rome, Italy
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17
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Course CW, Watkins J, Muller C, Odd D, Kotecha S, Chakraborty M. Volatile organic compounds as disease predictors in newborn infants: a systematic review. J Breath Res 2021; 15. [PMID: 33530065 DOI: 10.1088/1752-7163/abe283] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 02/02/2021] [Indexed: 11/11/2022]
Abstract
Volatile organic compounds (VOC) detected in human breath, urine, stool, sweat, saliva, and blood result from metabolic processes in the body during health or disease. Using sophisticated measurement systems, small amounts of these compounds can be detected in the above bodily fluids. Multiple studies in adults and children have shown the potential of these compounds to differentiate between healthy individuals and patients by detecting profiles of compounds in non-invasively collected samples. However, the detection of biomarkers in VOCs from neonates is particularly attractive due to the non-invasive nature of its approach, and its ability to track disease progress by longitudinal sampling. In this work we have reviewed the literature on the use of VOCs in neonates and identified areas for future work.
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Affiliation(s)
- Christopher William Course
- University Hospital of Wales, University Hospital of Wales, Cardiff, Cardiff, CF14 4XW, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - John Watkins
- Cardiff University, Cardiff University, Cardiff, CF14 4YS, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Carsten Muller
- Cardiff University, Cardiff University, Cardiff, CF14 4YS, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - David Odd
- Cardiff University, Cardiff University, Cardiff, CF14 4YS, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Sailesh Kotecha
- Cardiff University, University Hospital of Wales, Cardiff, CF14 4XW, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Mallinath Chakraborty
- Cardiff University, University Hospital of Wales, Cardiff, CF10 3AT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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18
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Radogna AV, Siciliano PA, Sabina S, Sabato E, Capone S. A Low-Cost Breath Analyzer Module in Domiciliary Non-Invasive Mechanical Ventilation for Remote COPD Patient Monitoring. Sensors (Basel) 2020; 20:E653. [PMID: 31991608 DOI: 10.3390/s20030653] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 01/14/2020] [Accepted: 01/17/2020] [Indexed: 02/07/2023]
Abstract
Smart Breath Analyzers were developed as sensing terminals of a telemedicine architecture devoted to remote monitoring of patients suffering from Chronic Obstructive Pulmonary Disease (COPD) and home-assisted by non-invasive mechanical ventilation via respiratory face mask. The devices based on different sensors (CO2/O2 and Volatile Organic Compounds (VOCs), relative humidity and temperature (R.H. & T) sensors) monitor the breath air exhaled into the expiratory line of the bi-tube patient breathing circuit during a noninvasive ventilo-therapy session; the sensor raw signals are transmitted pseudonymized to National Health Service units by TCP/IP communication through a cloud remote platform. The work is a proof-of-concept of a sensors-based IoT system with the perspective to check continuously the effectiveness of therapy and/or any state of exacerbation of the disease requiring healthcare. Lab tests in controlled experimental conditions by a gas-mixing bench towards CO2/O2 concentrations and exhaled breath collected in a sampling bag were carried out to test the realized prototypes. The Smart Breath Analyzers were also tested in real conditions both on a healthy volunteer subject and a COPD suffering patient.
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19
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Bell SC, Mall MA, Gutierrez H, Macek M, Madge S, Davies JC, Burgel PR, Tullis E, Castaños C, Castellani C, Byrnes CA, Cathcart F, Chotirmall SH, Cosgriff R, Eichler I, Fajac I, Goss CH, Drevinek P, Farrell PM, Gravelle AM, Havermans T, Mayer-Hamblett N, Kashirskaya N, Kerem E, Mathew JL, McKone EF, Naehrlich L, Nasr SZ, Oates GR, O'Neill C, Pypops U, Raraigh KS, Rowe SM, Southern KW, Sivam S, Stephenson AL, Zampoli M, Ratjen F. The future of cystic fibrosis care: a global perspective. The Lancet Respiratory Medicine 2020; 8:65-124. [DOI: 10.1016/s2213-2600(19)30337-6] [Citation(s) in RCA: 351] [Impact Index Per Article: 87.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 07/19/2019] [Accepted: 08/14/2019] [Indexed: 02/06/2023]
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20
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Rodríguez-Aguilar M, Ramírez-García S, Ilizaliturri-Hernández C, Gómez-Gómez A, Van-Brussel E, Díaz-Barriga F, Medellín-Garibay S, Flores-Ramírez R. Ultrafast gas chromatography coupled to electronic nose to identify volatile biomarkers in exhaled breath from chronic obstructive pulmonary disease patients: A pilot study. Biomed Chromatogr 2019; 33:e4684. [PMID: 31423612 DOI: 10.1002/bmc.4684] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 08/07/2019] [Accepted: 08/13/2019] [Indexed: 11/11/2022]
Abstract
An analytical method to identify volatile organic compounds (VOCs) in the exhaled breath from patients with a diagnosis of chronic obstructive pulmonary disease (COPD) using a ultrafast gas chromatography system equipped with an electronic nose detector (FGC eNose) has been developed. A prospective study was performed in 23 COPD patients and 33 healthy volunteers; exhalation breathing tests were performed with Tedlar bags. Each sample was analyzed by FCG eNose and the identification of VOCs was based on the Kovats index. Raw data were reduced by principal component analysis (PCA) and canonical discriminant analysis [canonical analysis of principal coordinates (CAP)]. The FCG eNose technology was able to identify 17 VOCs that distinguish COPD patients from healthy volunteers. At all stages of PCA and CAP the discrimination between groups was obvious. Chemical prints were correctly classified up to 82.2%, and were matched with 78.9% of the VOCs detected in the exhaled breath samples. Receiver operating characteristic curve analysis indicated the sensitivity and specificity to be 96% and 91%, respectively. This pilot study demonstrates that FGC eNose is a useful tool to identify VOCs as biomarkers in exhaled breath from COPD patients. Further studies should be performed to enhance the clinical relevance of this quick and ease methodology for COPD diagnosis.
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Affiliation(s)
- Maribel Rodríguez-Aguilar
- Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, S.L.P., Mexico
| | - Sofía Ramírez-García
- Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, S.L.P., Mexico
| | - Cesar Ilizaliturri-Hernández
- Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, S.L.P., Mexico
| | - Alejandro Gómez-Gómez
- Pulmonology Service, Hospital Central "Dr. Ignacio Morones Prieto" San Luis Potosí, San Luis Potosí, Mexico
| | - Evelyn Van-Brussel
- Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, S.L.P., Mexico
| | - Fernando Díaz-Barriga
- Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, S.L.P., Mexico
| | - Susanna Medellín-Garibay
- Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, S.L.P., Mexico
| | - Rogelio Flores-Ramírez
- Centro de Investigación Aplicada en Ambiente y Salud, CIACYT, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, S.L.P., Mexico.,Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luis Potosí, San Luis Potosí, S.L.P., Mexico
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21
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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: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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22
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Abstract
The paper presents the development of a portable gas analyzer prototype for exhaled acetone detection, employing an application-suited gas sensor array and 3D printing technology. The device provides the functionality to monitor exhaled acetone levels, which could be used as a potential tool for non-invasive diabetes monitoring. The relationship between exhaled acetone concentrations and glucose in blood is confirmed in the literature, including research carried out by the authors. The design process is presented including a general consideration for the sensor array construction, which is the core for sensing gases, as well as requirements for the measurement chamber it is to be placed in. Moreover, the mechanical design of the 3D-printed housing is discussed to ensure the ergonomics of use as a hand-held device while keeping the hardware integrity. Also, the processing hardware is discussed to provide sufficient computing power to handle the stand-alone operation while being energy efficient, enabling long battery-powered operation. Finally, calibration and measurement, as well as the analyzer operation, are shown, validating the proposed class of exhaled acetone-detection capable meters.
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23
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Ibrahim W, Wilde M, Cordell R, Salman D, Ruszkiewicz D, Bryant L, Richardson M, Free RC, Zhao B, Yousuf A, White C, Russell R, Jones S, Patel B, Awal A, Phillips R, Fowkes G, McNally T, Foxon C, Bhatt H, Peltrini R, Singapuri A, Hargadon B, Suzuki T, Ng LL, Gaillard E, Beardsmore C, Ryanna K, Pandya H, Coates T, Monks PS, Greening N, Brightling CE, Thomas P, Siddiqui S. Assessment of breath volatile organic compounds in acute cardiorespiratory breathlessness: a protocol describing a prospective real-world observational study. BMJ Open 2019; 9:e025486. [PMID: 30852546 PMCID: PMC6429860 DOI: 10.1136/bmjopen-2018-025486] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Patients presenting with acute undifferentiated breathlessness are commonly encountered in admissions units across the UK. Existing blood biomarkers have clinical utility in distinguishing patients with single organ pathologies but have poor discriminatory power in multifactorial presentations. Evaluation of volatile organic compounds (VOCs) in exhaled breath offers the potential to develop biomarkers of disease states that underpin acute cardiorespiratory breathlessness, owing to their proximity to the cardiorespiratory system. To date, there has been no systematic evaluation of VOC in acute cardiorespiratory breathlessness. The proposed study will seek to use both offline and online VOC technologies to evaluate the predictive value of VOC in identifying common conditions that present with acute cardiorespiratory breathlessness. METHODS AND ANALYSIS A prospective real-world observational study carried out across three acute admissions units within Leicestershire. Participants with self-reported acute breathlessness, with a confirmed primary diagnosis of either acute heart failure, community-acquired pneumonia and acute exacerbation of asthma or chronic obstructive pulmonary disease will be recruited within 24 hours of admission. Additionally, school-age children admitted with severe asthma will be evaluated. All participants will undergo breath sampling on admission and on recovery following discharge. A range of online technologies including: proton transfer reaction mass spectrometry, gas chromatography ion mobility spectrometry, atmospheric pressure chemical ionisation-mass spectrometry and offline technologies including gas chromatography mass spectroscopy and comprehensive two-dimensional gas chromatography-mass spectrometry will be used for VOC discovery and replication. For offline technologies, a standardised CE-marked breath sampling device (ReCIVA) will be used. All recruited participants will be characterised using existing blood biomarkers including C reactive protein, brain-derived natriuretic peptide, troponin-I and blood eosinophil levels and further evaluated using a range of standardised questionnaires, lung function testing, sputum cell counts and other diagnostic tests pertinent to acute disease. ETHICS AND DISSEMINATION The National Research Ethics Service Committee East Midlands has approved the study protocol (REC number: 16/LO/1747). Integrated Research Approval System (IRAS) 198921. Findings will be presented at academic conferences and published in peer-reviewed scientific journals. Dissemination will be facilitated via a partnership with the East Midlands Academic Health Sciences Network and via interaction with all UK-funded Medical Research Council and Engineering and Physical Sciences Research Council molecular pathology nodes. TRIAL REGISTRATION NUMBER NCT03672994.
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Affiliation(s)
- Wadah Ibrahim
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Michael Wilde
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Rebecca Cordell
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Dahlia Salman
- Department of Chemistry, Loughborough University, Loughborough, UK
| | | | - Luke Bryant
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Matthew Richardson
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Robert C Free
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Bo Zhao
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Ahmed Yousuf
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Christobelle White
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Richard Russell
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Sheila Jones
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Bharti Patel
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Asia Awal
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Graham Fowkes
- NIHR Leicester Clinical Research Facility, Leicester, UK
| | | | - Clare Foxon
- Paediatric Clinical Investigation Centre, Leicester, UK
| | - Hetan Bhatt
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Rosa Peltrini
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Amisha Singapuri
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Beverley Hargadon
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Toru Suzuki
- Department of Cardiovascular Sciences, Cardiovascular Research Centre, University of Leicester, Leicester, UK
- Leicester NIHR Biomedical Research Centre (Cardiovascular Theme), Leicester, UK
| | - Leong L Ng
- Department of Cardiovascular Sciences, Cardiovascular Research Centre, University of Leicester, Leicester, UK
- Leicester NIHR Biomedical Research Centre (Cardiovascular Theme), Leicester, UK
| | - Erol Gaillard
- Paediatric Clinical Investigation Centre, Leicester, UK
| | | | - Kimuli Ryanna
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Hitesh Pandya
- Discovery Medicine, Respiratory Therapeutic Area, GlaxoSmithKline PLC, Stevenage, UK
| | - Tim Coates
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Paul S Monks
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Neil Greening
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Christopher E Brightling
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Paul Thomas
- Department of Chemistry, Loughborough University, Loughborough, UK
| | - Salman Siddiqui
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
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Das N, Topalovic M, Janssens W. Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential. Curr Opin Pulm Med 2018; 24:117-23. [PMID: 29251699 DOI: 10.1097/MCP.0000000000000459] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW The application of artificial intelligence in the diagnosis of obstructive lung diseases is an exciting phenomenon. Artificial intelligence algorithms work by finding patterns in data obtained from diagnostic tests, which can be used to predict clinical outcomes or to detect obstructive phenotypes. The purpose of this review is to describe the latest trends and to discuss the future potential of artificial intelligence in the diagnosis of obstructive lung diseases. RECENT FINDINGS Machine learning has been successfully used in automated interpretation of pulmonary function tests for differential diagnosis of obstructive lung diseases. Deep learning models such as convolutional neural network are state-of-the art for obstructive pattern recognition in computed tomography. Machine learning has also been applied in other diagnostic approaches such as forced oscillation test, breath analysis, lung sound analysis and telemedicine with promising results in small-scale studies. SUMMARY Overall, the application of artificial intelligence has produced encouraging results in the diagnosis of obstructive lung diseases. However, large-scale studies are still required to validate current findings and to boost its adoption by the medical community.
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Steinbach J, Goedicke-Fritz S, Tutdibi E, Stutz R, Kaiser E, Meyer S, Baumbach JI, Zemlin M. Bedside Measurement of Volatile Organic Compounds in the Atmosphere of Neonatal Incubators Using Ion Mobility Spectrometry. Front Pediatr 2019; 7:248. [PMID: 31275910 PMCID: PMC6591267 DOI: 10.3389/fped.2019.00248] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/30/2019] [Indexed: 11/17/2022] Open
Abstract
Background: Early and non-invasive diagnosis of common diseases is of great importance in the care of preterm infants. We hypothesized that volatile organic compounds (VOC) can be successfully measured in the neonatal incubator atmosphere. Methods: This is a feasibility study to investigate whether the discrimination of occupied and unoccupied neonatal incubators is possible by bedside measurement of volatile organic compounds (VOCs) on the neonatal intensive care unit. VOC profiles were measured in the incubator air using ion mobility spectrometry coupled to multi-capillary columns (BreathDiscovery B&S Analytik GmbH, Dortmund, Germany). Results: Seventeen incubators occupied by preterm infants (50 measurements) and nine unoccupied neonatal incubators were sampled, using 37 room air measurements as controls. Three VOC signals that allow the discrimination between occupied and unoccupied incubators were identified. The best discrimination was reached by peak P20 exhibiting a sensitivity, specificity, positive predictive value and negative predictive value of 94.0, 88.9, 97.3, and 72.3%, respectively. Use of a decision tree improved these values to 100.0, 88.9, 98.0, and 100.0%, respectively. Discussion: A bedside method that allows the characterization of VOC profiles in the neonatal incubator atmosphere using ion mobility spectrometry was established. Occupied and unoccupied incubators could be discriminated by characterizing VOC profiles. This technique has the potential to yield results within minutes. Thus, future studies are recommended to test the hypothesis that VOCs within neonatal incubators are useful biomarkers for non-invasive diagnostics in preterm neonates.
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Affiliation(s)
- Julia Steinbach
- Department of Applied Chemistry, Reutlingen University, Reutlingen, Germany
| | - Sybelle Goedicke-Fritz
- Department of General Paediatrics and Neonatology, Saarland University Medical School, Homburg, Germany
| | - Erol Tutdibi
- Department of General Paediatrics and Neonatology, Saarland University Medical School, Homburg, Germany
| | - Regine Stutz
- Department of General Paediatrics and Neonatology, Saarland University Medical School, Homburg, Germany
| | - Elisabeth Kaiser
- Department of General Paediatrics and Neonatology, Saarland University Medical School, Homburg, Germany
| | - Sascha Meyer
- Department of General Paediatrics and Neonatology, Saarland University Medical School, Homburg, Germany
| | - Jörg Ingo Baumbach
- Department of Applied Chemistry, Reutlingen University, Reutlingen, Germany
| | - Michael Zemlin
- Department of General Paediatrics and Neonatology, Saarland University Medical School, Homburg, Germany
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26
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Wallace MAG, Pleil JD. Evolution of clinical and environmental health applications of exhaled breath research: Review of methods and instrumentation for gas-phase, condensate, and aerosols. Anal Chim Acta 2018; 1024:18-38. [PMID: 29776545 PMCID: PMC6082128 DOI: 10.1016/j.aca.2018.01.069] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 01/29/2018] [Accepted: 01/31/2018] [Indexed: 12/20/2022]
Abstract
Human breath, along with urine and blood, has long been one of the three major biological media for assessing human health and environmental exposure. In fact, the detection of odor on human breath, as described by Hippocrates in 400 BC, is considered the first analytical health assessment tool. Although less common in comparison to contemporary bio-fluids analyses, breath has become an attractive diagnostic medium as sampling is non-invasive, unlimited in timing and volume, and does not require clinical personnel. Exhaled breath, exhaled breath condensate (EBC), and exhaled breath aerosol (EBA) are different types of breath matrices used to assess human health and disease state. Over the past 20 years, breath research has made many advances in assessing health state, overcoming many of its initial challenges related to sampling and analysis. The wide variety of sampling techniques and collection devices that have been developed for these media are discussed herein. The different types of sensors and mass spectrometry instruments currently available for breath analysis are evaluated as well as emerging breath research topics, such as cytokines, security and airport surveillance, cellular respiration, and canine olfaction.
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Affiliation(s)
- M Ariel Geer Wallace
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, NC, 27711, USA.
| | - Joachim D Pleil
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, NC, 27711, USA.
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27
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Rydosz A. Sensors for Enhanced Detection of Acetone as a Potential Tool for Noninvasive Diabetes Monitoring. Sensors (Basel) 2018; 18:s18072298. [PMID: 30012960 PMCID: PMC6068483 DOI: 10.3390/s18072298] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Revised: 07/03/2018] [Accepted: 07/16/2018] [Indexed: 01/17/2023]
Abstract
Measurement of blood-borne volatile organic compounds (VOCs) occurring in human exhaled breath as a result of metabolic changes or pathological disorders is a promising tool for noninvasive medical diagnosis, such as exhaled acetone measurements in terms of diabetes monitoring. The conventional methods for exhaled breath analysis are based on spectrometry techniques, however, the development of gas sensors has made them more and more attractive from a medical point of view. This review focuses on the latest achievements in gas sensors for exhaled acetone detection. Several different methods and techniques are presented and discussed as well.
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Affiliation(s)
- Artur Rydosz
- Department of Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland.
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28
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Gonçalves I, Guimarães M, van Zeller M, Menezes F, Moita J, Simão P. Clinical and molecular markers in COPD. Pulmonology 2018; 24:250-259. [DOI: 10.1016/j.pulmoe.2018.02.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 02/09/2018] [Indexed: 11/15/2022] Open
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29
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Fijten RRR, Smolinska A, Drent M, Dallinga JW, Mostard R, Pachen DM, van Schooten FJ, Boots AW. The necessity of external validation in exhaled breath research: a case study of sarcoidosis. J Breath Res 2017; 12:016004. [DOI: 10.1088/1752-7163/aa8409] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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30
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Stach R, Haas J, Tütüncü E, Daboss S, Kranz C, Mizaikoff B. polyHWG: 3D Printed Substrate-Integrated Hollow Waveguides for Mid-Infrared Gas Sensing. ACS Sens 2017; 2:1700-1705. [PMID: 29090579 DOI: 10.1021/acssensors.7b00649] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Gas analysis via mid-infrared (MIR) spectroscopic techniques has gained significance due to its inherent molecular selectivity and sensitivity probing pronounced vibrational, rotational, and roto-vibrational modes. In addition, MIR gas sensors are suitable for real-time monitoring in a wide variety of sensing scenarios. Our research team has recently introduced so-called substrate-integrated hollow waveguides (iHWGs) fabricated by precision milling, which have been demonstrated to be useful in online process monitoring, environmental sensing, and exhaled breath analysis especially if low sample volumes (i.e., few hundreds of microliters) are probed with rapid signal transients. A logical next step is to establish ultralightweight, potentially disposable, and low-cost substrate-integrated hollow waveguides, which may be readily customized and tailored to specific applications using 3D printing techniques. 3D printing provides access to an unprecedented variety of thermoplastic materials including biocompatible polylactides, readily etchable styrene copolymers, and magnetic or conductive materials. Thus, the properties of the waveguide may be adapted to suit its designated application, e.g., drone-mounted ultralightweight waveguides for environmental monitoring or biocompatible disposable sensor interfaces in medical/clinical applications.
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Affiliation(s)
- Robert Stach
- Institute of Analytical and
Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany
| | - Julian Haas
- Institute of Analytical and
Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany
| | - Erhan Tütüncü
- Institute of Analytical and
Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany
| | - Sven Daboss
- Institute of Analytical and
Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany
| | - Christine Kranz
- Institute of Analytical and
Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany
| | - Boris Mizaikoff
- Institute of Analytical and
Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany
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31
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Affiliation(s)
- MK Nakhleh
- Univ Paris-Sud; Faculté de Médecine; Université Paris-Saclay; Le Kremlin Bicêtre France
- AP-HP; DHU TORINO; Service de Pneumologie; Hôpital Bicêtre; Le Kremlin Bicêtre France
- Inserm UMR_S 999; LabExLERMIT; Hôpital Marie Lannelongue; Le Plessis Robinson France
| | - M Quatredeniers
- Univ Paris-Sud; Faculté de Médecine; Université Paris-Saclay; Le Kremlin Bicêtre France
- AP-HP; DHU TORINO; Service de Pneumologie; Hôpital Bicêtre; Le Kremlin Bicêtre France
- Inserm UMR_S 999; LabExLERMIT; Hôpital Marie Lannelongue; Le Plessis Robinson France
| | - H Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute; Technion-Israel Institute of Technology; Haifa Israel
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32
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Nakhleh MK, Haick H, Humbert M, Cohen-Kaminsky S. Volatolomics of breath as an emerging frontier in pulmonary arterial hypertension. Eur Respir J 2017; 49:49/2/1601897. [DOI: 10.1183/13993003.01897-2016] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 11/15/2016] [Indexed: 01/26/2023]
Abstract
There is accumulating evidence in support of the significant improvement in survival rates and clinical outcomes when pulmonary arterial hypertension (PAH) is diagnosed at early stages. Nevertheless, it remains a major clinical challenge and the outcomes are dependent on invasive right heart catheterisation.Resulting from pathophysiological processes and detectable in exhaled breath, volatile organic compounds (VOCs) have been proposed as noninvasive biomarkers for PAH. Studies have confirmed significant alterations of the exhaled VOCs among PAH patients when compared to controls and/or patients with other respiratory diseases. This suggests exhaled breath analysis as a potential noninvasive medical application in the field of PAH.In this article, we review and discuss the progress made so far in the field of exhaled volatolomics (the omics of VOCs) as a potential noninvasive diagnostics of PAH. In addition, we propose a model including possible biochemical pathways on the level of the remodelled artery, in which specific VOCs could be detectable in exhaled breath during the early phases of PAH. We debate the different analytical approaches used and recommend a diagram including a “bottom–top” strategy, from basic to translational studies, required for promoting the field.
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Blanchet L, Smolinska A, Baranska A, Tigchelaar E, Swertz M, Zhernakova A, Dallinga JW, Wijmenga C, van Schooten FJ. Factors that influence the volatile organic compound content in human breath. J Breath Res 2017; 11:016013. [PMID: 28140379 DOI: 10.1088/1752-7163/aa5cc5] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Thousands of endogenous and exogenous volatile organic compounds (VOCs) are excreted in each breath. Inflammatory and deviant metabolic processes affect the level of endogeneous VOCs, which can serve as specific biomarkers for clinical diagnosis and disease monitoring. Important issues that still need to be tackled are related to potential confounding factors like gender and age and endogenous and exogenous factors, like f.i. smoking. METHODS The aim of this study was to systematically access the effect of endogenous and exogenous factors on VOC composition of exhaled breath. In the current study breath samples from 1417 adult participants from the LifeLines cohort, a general population cohort in the Netherlands, were collected and the total content of VOCs was measured using gas chromatography-time-of-flight-mass spectrometry. Breath samples were collected in Groningen and transferred to carbon tubes immediately. These samples were then shipped to Maastricht and measured in batches. VOCs profiles were correlated to 14 relevant characteristics of all participants including age, BMI, smoking and blood cell counts and metabolic parameters as well as to 16 classes of medications. RESULTS VOCs profiles were shown to be significantly influenced by smoking behavior and to a lesser extent by age, BMI and gender. These factors need to be controlled for in breath analysis studies. We found no evidence whatsoever in this 1417 subjects' cohort that white blood cell counts, cholesterol or triglycerides levels have an influence on the VOC profile. Thus they may not have to be controlled for in exhaled breath studies. CONCLUSION The large cohort of volunteers used here represents a unique opportunity to gauge the factors influencing VOCs profiles in a general population i.e. the most clinically relevant population. Classical clinical parameters and smoking habits clearly influence breath content and should therefore be accounted for in future clinical studies involving breath analysis.
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Affiliation(s)
- L Blanchet
- Top Institute Food and Nutrition (TIFN), Wageningen, The Netherlands. Department of Pharmacology and Toxicology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, The Netherlands. Thayer school of engineering, Dartmouth College, Hanover, NH, United States of America
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