Volume 32, Issue 2 pp. 264-272
ORIGINAL ARTICLE

Metabolomic differences of exhaled breath condensate among children with and without asthma

Ju Chang-Chien

Ju Chang-Chien

Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan

Contribution: Data curation (lead), Formal analysis (lead), ​Investigation (equal), Methodology (equal), Project administration (supporting), Validation (lead), Writing - original draft (lead), Writing - review & editing (equal)

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Hsin-Yi Huang

Hsin-Yi Huang

Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan

Contribution: Data curation (supporting), Formal analysis (equal), Writing - review & editing (supporting)

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Hui-Ju Tsai

Hui-Ju Tsai

Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan

Contribution: Conceptualization (supporting), Formal analysis (supporting), ​Investigation (supporting), Writing - review & editing (supporting)

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Chi-Jen Lo

Chi-Jen Lo

Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan

Contribution: Data curation (supporting), Formal analysis (equal), ​Investigation (supporting), Methodology (lead), Software (equal), Validation (supporting), Writing - original draft (supporting), Writing - review & editing (supporting)

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Wan-Chen Lin

Wan-Chen Lin

Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan

Contribution: Data curation (supporting), ​Investigation (supporting), Methodology (supporting), Writing - review & editing (supporting)

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Yu-Lun Tseng

Yu-Lun Tseng

Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan

Contribution: Data curation (supporting), ​Investigation (supporting), Methodology (supporting), Writing - review & editing (supporting)

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Shih-Ling Wang

Shih-Ling Wang

Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan

Contribution: Data curation (supporting), ​Investigation (supporting), Methodology (supporting), Writing - review & editing (supporting)

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Hung-Yao Ho

Hung-Yao Ho

Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan

Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan

Department of Medical Biotechnology and Laboratory Science, Chang Gung University College of Medicine, Taoyuan, Taiwan

Contribution: Resources (supporting), Writing - original draft (supporting), Writing - review & editing (supporting)

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Mei-Ling Cheng

Corresponding Author

Mei-Ling Cheng

Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan

Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan

Department of Biomedical Sciences, Chang Gung University College of Medicine, Taoyuan, Taiwan

Correspondence

Tsung-Chieh Yao, Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital, 5 Fu-Hsin Street, Kweishan, Taoyuan 33305, Taiwan.

Email: [email protected]

Mei-Ling Cheng, Department of Biomedical Sciences, Chang Gung University College of Medicine, 259 Wenhua 1st road, Kweishan, Taoyuan 33302, Taiwan.

Email: [email protected]

Contribution: Conceptualization (equal), Data curation (supporting), Formal analysis (supporting), ​Investigation (equal), Methodology (lead), Software (supporting), Validation (supporting), Writing - original draft (equal), Writing - review & editing (lead)

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Tsung-Chieh Yao

Corresponding Author

Tsung-Chieh Yao

Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan

Community Medicine Research Center, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan

Correspondence

Tsung-Chieh Yao, Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital, 5 Fu-Hsin Street, Kweishan, Taoyuan 33305, Taiwan.

Email: [email protected]

Mei-Ling Cheng, Department of Biomedical Sciences, Chang Gung University College of Medicine, 259 Wenhua 1st road, Kweishan, Taoyuan 33302, Taiwan.

Email: [email protected]

Contribution: Conceptualization (lead), Data curation (supporting), Funding acquisition (lead), ​Investigation (lead), Project administration (lead), Supervision (lead), Validation (supporting), Writing - original draft (lead), Writing - review & editing (lead)

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First published: 13 September 2020
Citations: 26

Funding information

This study was supported by the Ministry of Science and Technology of Taiwan (PIs: Yao, MOST 106-2314-B-182-051-MY3 and MOST 109-2314-B-182-042-MY3; Tsai, MOST 107-2314-B-400-031-MY3) or Chang Gung Medical Foundation (CMRPG3F1711 ~ 3F1713, CMRPG3E1201 ~ 3E1205, CMRPG3F0361, and CMRPG3J0121).

Abstract

Background

There remains an unmet need in objective tests for diagnosing asthma in children. The objective of this study was to investigate the potential of metabolomic profiles of exhaled breath condensate (EBC) to discriminate stable asthma in Asian children in the community.

Methods

One hundred and sixty-five Asian children (92 stable asthma and 73 non-asthmatic controls) participating in a population-based cohort were enrolled and divided into training and validation sets. Nuclear magnetic resonance-based metabolomic profiles of EBC samples were analyzed by using orthogonal partial least squares discriminant analysis.

Results

EBC metabolomic signature (lactate, formate, butyrate, and isobutyrate) had an area under the receiver operator characteristic curve (AUC) of 0.826 in discriminating children with and without asthma in the training set, which significantly outperformed FeNO (AUC = 0.574; P < .001) and FEV1/FVC % predicted (AUC = 0.569; P < .001). The AUC for EBC metabolomic signature was 0.745 in the validation set, which was slightly but not significantly lower than in the testing set (P = .282). We further extrapolated two potentially involved metabolic pathways, including pyruvate (P = 1.67 × 10−3; impact: 0.14) and methane (P = 1.89 × 10−3; impact: 0.15), as the most likely divergent metabolisms between children with and without asthma.

Conclusion

This study provided evidence supporting the role of EBC metabolomic signature to discriminate stable asthma in Asian children in the community, with a discriminative property outperforming conventional clinical tests such as FeNO or spirometry.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

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