國家衛生研究院 NHRI:Item 3990099045/12927
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    题名: Metabolomic differences of exhaled breath condensate among children with and without asthma
    作者: Chang-Chien, J;Huang, HY;Tsai, HJ;Lo, CJ;Lin, WC;Tseng, YL;Wang, SL;Ho, HY;Cheng, ML;Yao, TC
    贡献者: Institute of Population Health Sciences
    摘要: 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 sixty-fiveAsian 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<0.001) and FEV(1) /FVC % predicted (AUC = 0.569; P<0.001). 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 = 0.282).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 metabolomicsignature to discriminate stable asthma in Asian children in the community, with a discriminative property outperforming conventional clinical tests such asFeNOor spirometry.
    日期: 2021-02
    關聯: Pediatric Allergy and Immunology. 2021 Feb;32(2):264-272.
    Link to: http://dx.doi.org/10.1111/pai.13368
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0905-6157&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000573704100001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85091725804
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