Associations of diet and lifestyle factors with common volatile organic compounds in exhaled breath of average-risk individuals.


Journal

Journal of breath research
ISSN: 1752-7163
Titre abrégé: J Breath Res
Pays: England
ID NLM: 101463871

Informations de publication

Date de publication:
01 03 2019
Historique:
pubmed: 14 12 2018
medline: 24 12 2019
entrez: 8 12 2018
Statut: epublish

Résumé

Detection of diseases via exhaled breath remains an attractive idea despite persisting gaps in understanding the origin of volatile organic compounds (VOCs) and their relationship with the disease of interest. Data on factors potentially influencing the results of breath analysis remain rather sparse and often controversial. In this study, we aimed to investigate the associations of common VOCs in exhaled breath of average-risk individuals with socio-demographic and lifestyle factors, medical conditions as well as diet. Alveolar breath samples of 1447 men and women were collected in the morning after fasting and were analyzed using gas-chromatography linked with mass-spectrometry. Study participants were 40-64 years old, cancer-free, with overall good health status. The associations between selected VOCs and various factors determined from the questionnaire data were assessed using two-part-Wilcoxon test and Jonckheere-Terpstra trend test. Fifteen VOCs where each of them was detected in at least 80% of the study population were included in this analysis. Statistically significant associations with various VOCs were demonstrated for gender and consumption of certain foods, such as coffee, leeks and garlic, while smoking was not associated with any of the analyzed compounds. Factors potentially modifying the composition of exhaled breath, such as dietary factors, deserve careful attention in the design and analysis of studies accessing the use of VOCs as diagnostic markers.

Sections du résumé

BACKGROUND
Detection of diseases via exhaled breath remains an attractive idea despite persisting gaps in understanding the origin of volatile organic compounds (VOCs) and their relationship with the disease of interest. Data on factors potentially influencing the results of breath analysis remain rather sparse and often controversial. In this study, we aimed to investigate the associations of common VOCs in exhaled breath of average-risk individuals with socio-demographic and lifestyle factors, medical conditions as well as diet.
METHODS
Alveolar breath samples of 1447 men and women were collected in the morning after fasting and were analyzed using gas-chromatography linked with mass-spectrometry. Study participants were 40-64 years old, cancer-free, with overall good health status. The associations between selected VOCs and various factors determined from the questionnaire data were assessed using two-part-Wilcoxon test and Jonckheere-Terpstra trend test.
RESULTS
Fifteen VOCs where each of them was detected in at least 80% of the study population were included in this analysis. Statistically significant associations with various VOCs were demonstrated for gender and consumption of certain foods, such as coffee, leeks and garlic, while smoking was not associated with any of the analyzed compounds.
CONCLUSION
Factors potentially modifying the composition of exhaled breath, such as dietary factors, deserve careful attention in the design and analysis of studies accessing the use of VOCs as diagnostic markers.

Identifiants

pubmed: 30523935
doi: 10.1088/1752-7163/aaf3dc
doi:

Substances chimiques

Volatile Organic Compounds 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

026006

Auteurs

Agne Krilaviciute (A)

Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120, Heidelberg, Germany. Division of Preventive Oncology, German Cancer Research Center DKFZ, Im Neuenheimer Feld 460, D-69120, Heidelberg, Germany. Heidelberg Medical Faculty, University of Heidelberg, Im Neuenheimer Feld 672, D-69120, Heidelberg, Germany.

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Classifications MeSH