Gender and age specific differences in exhaled isoprene levels

Lechner, Matthias; Moser, Berthold; Niederseer, David; Karlseder, Alban; Holzknecht, B.; Fuchs, M; Colvin, Stephan; Tilg, Herbert; Rieder, Josef

doi:10.1016/j.resp.2006.01.007

Cited by 68 publications

(55 citation statements)

References 25 publications

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“…Several studies using GC-MS have shown that age, gender, lifestyle, nutrition, medication, smoking habits, and other confounding factors affect the chemical composition of the breath (Mendis et al , 1994; Lechner et al , 2006; Kushch et al , 2008) and, as a result, the sensitivity and specificity of the diagnosis. Therefore we tested, in the fourth phase of this study, whether the same applies for GNP sensors array as well.…”

Section: Resultsmentioning

confidence: 99%

Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors

et al. 2010

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Background:Tumour growth is accompanied by gene and/or protein changes that may lead to peroxidation of the cell membrane species and, hence, to the emission of volatile organic compounds (VOCs). In this study, we investigated the ability of a nanosensor array to discriminate between breath VOCs that characterise healthy states and the most widespread cancer states in the developed world: lung, breast, colorectal, and prostate cancers.Methods:Exhaled alveolar breath was collected from 177 volunteers aged 20–75 years (patients with lung, colon, breast, and prostate cancers and healthy controls). Breath from cancerous subjects was collected before any treatment. The healthy population was healthy according to subjective patient's data. The breath of volunteers was examined by a tailor-made array of cross-reactive nanosensors based on organically functionalised gold nanoparticles and gas chromatography linked to the mass spectrometry technique (GC-MS).Results:The results showed that the nanosensor array could differentiate between ‘healthy' and ‘cancerous' breath, and, furthermore, between the breath of patients having different cancer types. Moreover, the nanosensor array could distinguish between the breath patterns of different cancers in the same statistical analysis, irrespective of age, gender, lifestyle, and other confounding factors. The GC-MS results showed that each cancer could have a unique pattern of VOCs, when compared with healthy states, but not when compared with other cancer types.Conclusions:The reported results could lead to the development of an inexpensive, easy-to-use, portable, non-invasive tool that overcomes many of the deficiencies associated with the currently available diagnostic methods for cancer.

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Section: Resultsmentioning

confidence: 99%

Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors

et al. 2010

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“…These results are contrary to many previous reports in the breath analysis field, which commonly reported that only a small minority of breath VOCs can be correlated with common confounding factors. 68−70 The main reasons for this could include the following: (i) in studies consisting of matched groups, these features had been neglected and left untested; and/or (ii) owing to the small size of study groups, statistically significant correlations would not have been obtained. These conclusions will be considered as empirical findings—as the principal origins and specific pathways of our VOCs—that remain poorly understood, although intensive experimental work and theoretical considerations have been discussed elsewhere.…”

Section: Discussionmentioning

confidence: 99%

Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules

et al. 2016

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We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoarray was clinically assessed on breath samples collected from 1404 subjects having one of 17 different disease conditions included in the study or having no evidence of any disease (healthy controls). Blind experiments showed that 86% accuracy could be achieved with the artificially intelligent nanoarray, allowing both detection and discrimination between the different disease conditions examined. Analysis of the artificially intelligent nanoarray also showed that each disease has its own unique breathprint, and that the presence of one disease would not screen out others. Cluster analysis showed a reasonable classification power of diseases from the same categories. The effect of confounding clinical and environmental factors on the performance of the nanoarray did not significantly alter the obtained results. The diagnosis and classification power of the nanoarray was also validated by an independent analytical technique, i.e., gas chromatography linked with mass spectrometry. This analysis found that 13 exhaled chemical species, called volatile organic compounds, are associated with certain diseases, and the composition of this assembly of volatile organic compounds differs from one disease to another. Overall, these findings could contribute to one of the most important criteria for successful health intervention in the modern era, viz. easy-to-use, inexpensive (affordable), and miniaturized tools that could also be used for personalized screening, diagnosis, and follow-up of a number of diseases, which can clearly be extended by further development.

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“…The relationships between concentrations of exhaled isoprene, age, gender and body mass index (BMI) are not yet clear and differ significantly in different studies (30,31,38,39,(53)(54)(55)(56). Therefore, the present study was performed to clarify variations in breath isoprene concentrations with age, gender, BMI and total serum cholesterol in adults.…”

Section: Menmentioning

confidence: 93%

“…For example, several studies revealed no ageand/or gender-related differences in exhaled isoprene profiles in adults (11,30,31,39,53). Some investigators found that isoprene levels were significantly lower in young people and children than in older adults (11,53,55). Some investigators found that isoprene levels were significantly lower in young people and children than in older adults (11,53,55).…”

Section: Breath Isoprene Age and Gendermentioning

confidence: 99%

Breath isoprene – aspects of normal physiology related to age, gender and cholesterol profile as determined in a proton transfer reaction mass spectrometry study

Kushch¹,

Arendacká²,

Štolc³

et al. 2008

Clinical Chemistry and Laboratory Medicine

137

149

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Gender and age specific differences in exhaled isoprene levels

Cited by 68 publications

References 25 publications

Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors

Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors

Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules

Breath isoprene – aspects of normal physiology related to age, gender and cholesterol profile as determined in a proton transfer reaction mass spectrometry study

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