Association of Smoking with Metabolic Volatile Organic Compounds in Exhaled Breath

Chen, Xing; Wang, Fuyuan; Lin, Liquan; Dong, Hao; Huang, Feifei; Muhammad, Kanhar Ghulam; Chen, Liying; Gorlova, Olga Y.

doi:10.3390/ijms18112235

Cited by 20 publications

(11 citation statements)

References 25 publications

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“…Decane in breath has been previously associated with TB in adults, and is also linked to isoniazid resistance in Mtb 16 , 46 . Both decane and 4-methyloctane have also been identified as characterizing in the breath of adults with asthma, chronic obstructive pulmonary disease (COPD), or lung cancer compared to controls 47 – 52 . More research in a larger population will be necessary to quantify the differences in production of 4-methyloctane and decane across respiratory diseases.…”

Section: Resultsmentioning

confidence: 99%

Breath can discriminate tuberculosis from other lower respiratory illness in children

Bobak

Kang

Workman

et al. 2021

Sci Rep

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Pediatric tuberculosis (TB) remains a global health crisis. Despite progress, pediatric patients remain difficult to diagnose, with approximately half of all childhood TB patients lacking bacterial confirmation. In this pilot study (n = 31), we identify a 4-compound breathprint and subsequent machine learning model that accurately classifies children with confirmed TB (n = 10) from children with another lower respiratory tract infection (LRTI) (n = 10) with a sensitivity of 80% and specificity of 100% observed across cross validation folds. Importantly, we demonstrate that the breathprint identified an additional nine of eleven patients who had unconfirmed clinical TB and whose symptoms improved while treated for TB. While more work is necessary to validate the utility of using patient breath to diagnose pediatric TB, it shows promise as a triage instrument or paired as part of an aggregate diagnostic scheme.

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Section: Resultsmentioning

confidence: 99%

Breath can discriminate tuberculosis from other lower respiratory illness in children

Bobak

Kang

Workman

et al. 2021

Sci Rep

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“…85 Food and beverages (e.g., poultry meat and plant oil) can in uence the breath-prints, while smoking may increase the levels of benzene, 2-butanone and pentane and simultaneously decrease the level of butyl-acetate in the exhaled breaths. [86][87][88] In our study, none of the patients smoked before the breath test. The comorbidities were also comparable between the case and control groups.…”

Section: Genose C19 Performance In Covid-19 Pro Ling Testsmentioning

confidence: 66%

Fast and noninvasive electronic nose for sniffing out COVID-19 based on exhaled breath-print recognition

Nurputra

Kusumaatmadja

Hakim

et al. 2021

Preprint

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Despite its high accuracy to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the reverse transcription-quantitative polymerase chain reaction (RT-qPCR) approach possesses several limitations (e.g., the lengthy invasive procedure, the reagent availability, and the requirement of specialized laboratory, equipment, and trained staffs). We developed and employed a low-cost, noninvasive method to rapidly sniff out the coronavirus disease 2019 (COVID-19) based on a portable electronic nose (GeNose C19) integrating metal oxide semiconductor gas sensor array, optimized feature extraction, and machine learning models. This approach was evaluated in profiling tests involving a total number of 615 breath samples (i.e., 333 positive and 282 negative COVID-19 confirmed by RT-qPCR) obtained from 83 patients in two hospitals located in the Special Region of Yogyakarta, Indonesia. Four different machine learning algorithms (i.e., linear discriminant analysis (LDA), support vector machine (SVM), stacked multilayer perceptron (MLP), and deep neural network (DNN)) were utilized to identify the top-performing pattern recognition methods and to obtain high system detection accuracy (88–95%), sensitivity (86–94%), specificity (88–95%) levels from the testing datasets. Our results suggest that GeNose C19 can be considered a highly potential breathalyzer for fast COVID-19 screening.

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“…First, VOCs may directly derive from the cigarette. In line with this, different exhaled compounds were identified and directly correlated with smoking status, smoking intensity, years of smoking, and depth of inhalation [ 94 ]. Moreover, strong differences were observed in the VOC composition of tobacco cigarette smokers and exhaled breath in the comparison with that of electronic cigarette smokers [ 95 ].…”

Section: The Effect Of Smoking On Exhaled Vocs In Copdmentioning

confidence: 92%

The Role of Electronic Noses in Phenotyping Patients with Chronic Obstructive Pulmonary Disease

et al. 2020

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Chronic obstructive pulmonary disease (COPD) is a common progressive disorder of the respiratory system which is currently the third leading cause of death worldwide. Exhaled breath analysis is a non-invasive method to study lung diseases, and electronic noses have been extensively used in breath research. Studies with electronic noses have proved that the pattern of exhaled volatile organic compounds is different in COPD. More recent investigations have reported that electronic noses could potentially distinguish different endotypes (i.e., neutrophilic vs. eosinophilic) and are able to detect microorganisms in the airways responsible for exacerbations. This article will review the published literature on electronic noses and COPD and help in identifying methodological, physiological, and disease-related factors which could affect the results.

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Association of Smoking with Metabolic Volatile Organic Compounds in Exhaled Breath

Cited by 20 publications

References 25 publications

Breath can discriminate tuberculosis from other lower respiratory illness in children

Breath can discriminate tuberculosis from other lower respiratory illness in children

Fast and noninvasive electronic nose for sniffing out COVID-19 based on exhaled breath-print recognition

The Role of Electronic Noses in Phenotyping Patients with Chronic Obstructive Pulmonary Disease

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