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Metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis

OBJECTIVE: This study aims to ascertain the unique metabolic profile of exhaled breath condensate (EBC) samples in pulmonary aspergillosis (PA) patients, and explore their usefulness for the diagnosis of PA. METHODS: A total of 133 patients were included in the study, including 66 PA patients (invas...

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Autores principales: Wei, Shuo, Chen, Yi-sheng, Shi, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492867/
https://www.ncbi.nlm.nih.gov/pubmed/36159648
http://dx.doi.org/10.3389/fcimb.2022.1008924
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author Wei, Shuo
Chen, Yi-sheng
Shi, Yi
author_facet Wei, Shuo
Chen, Yi-sheng
Shi, Yi
author_sort Wei, Shuo
collection PubMed
description OBJECTIVE: This study aims to ascertain the unique metabolic profile of exhaled breath condensate (EBC) samples in pulmonary aspergillosis (PA) patients, and explore their usefulness for the diagnosis of PA. METHODS: A total of 133 patients were included in the study, including 66 PA patients (invasive pulmonary aspergillosis, n=3; chronic pulmonary aspergillosis, n=60; allergic bronchopulmonary aspergillosis, n=3) and controls (n=67). Ultra high-performance liquid chromatography coupled with high-resolution mass spectrometry(UHPLC-HRMS) was used to analyze EBC samples. Metabolic profiling of EBC samples that were collected from 22 CPA patients at various times during treatment (before treatment, <1 month, 1–2 months, 2–3 months, 3–6 months, and ≥6 months after treatment initiation) were performed using UHPLC-HRMS. Potential biomarkers were evaluated using cluster analysis, Venn diagram and receiver operating characteristic analysis (ROC). RESULTS: A total of 47 metabolites of potential interest were detected in the EBC samples. Further investigation showed that Asperpyrone C, Kotanin, Terphenyllin, Terrelumamide B, and Cyclotryprostatin D could be used as a diagnostic biomarker for PA. The classification between metabolic profiling of EBC samples from PA patients and controls was good with a sensitivity of 100%, specificity 89.6% for patients with PA, respectively. Venn diagram analysis of these biomarker candidates displayed three main types of compounds, which could be used for the further discrimination of aspergilloma and chronic cavitary PA. In addition, antifungal treatment had a limited influence on the value of the EBC results. CONCLUSIONS: This metabolomic approach using UHPLC-HRMS could be used as a noninvasive method for the diagnosis of PA.
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spelling pubmed-94928672022-09-23 Metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis Wei, Shuo Chen, Yi-sheng Shi, Yi Front Cell Infect Microbiol Cellular and Infection Microbiology OBJECTIVE: This study aims to ascertain the unique metabolic profile of exhaled breath condensate (EBC) samples in pulmonary aspergillosis (PA) patients, and explore their usefulness for the diagnosis of PA. METHODS: A total of 133 patients were included in the study, including 66 PA patients (invasive pulmonary aspergillosis, n=3; chronic pulmonary aspergillosis, n=60; allergic bronchopulmonary aspergillosis, n=3) and controls (n=67). Ultra high-performance liquid chromatography coupled with high-resolution mass spectrometry(UHPLC-HRMS) was used to analyze EBC samples. Metabolic profiling of EBC samples that were collected from 22 CPA patients at various times during treatment (before treatment, <1 month, 1–2 months, 2–3 months, 3–6 months, and ≥6 months after treatment initiation) were performed using UHPLC-HRMS. Potential biomarkers were evaluated using cluster analysis, Venn diagram and receiver operating characteristic analysis (ROC). RESULTS: A total of 47 metabolites of potential interest were detected in the EBC samples. Further investigation showed that Asperpyrone C, Kotanin, Terphenyllin, Terrelumamide B, and Cyclotryprostatin D could be used as a diagnostic biomarker for PA. The classification between metabolic profiling of EBC samples from PA patients and controls was good with a sensitivity of 100%, specificity 89.6% for patients with PA, respectively. Venn diagram analysis of these biomarker candidates displayed three main types of compounds, which could be used for the further discrimination of aspergilloma and chronic cavitary PA. In addition, antifungal treatment had a limited influence on the value of the EBC results. CONCLUSIONS: This metabolomic approach using UHPLC-HRMS could be used as a noninvasive method for the diagnosis of PA. Frontiers Media S.A. 2022-09-08 /pmc/articles/PMC9492867/ /pubmed/36159648 http://dx.doi.org/10.3389/fcimb.2022.1008924 Text en Copyright © 2022 Wei, Chen and Shi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Wei, Shuo
Chen, Yi-sheng
Shi, Yi
Metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis
title Metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis
title_full Metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis
title_fullStr Metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis
title_full_unstemmed Metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis
title_short Metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis
title_sort metabolomic profiling of exhaled breath condensate for the diagnosis of pulmonary aspergillosis
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492867/
https://www.ncbi.nlm.nih.gov/pubmed/36159648
http://dx.doi.org/10.3389/fcimb.2022.1008924
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