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Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study

INTRODUCTION: The metabolomic changes caused by airborne fine particulate matter (PM(2.5)) exposure in patients with chronic obstructive pulmonary disease (COPD) remain unclear. The aim of this study was to determine whether it is possible to predict PM(2.5)-induced acute exacerbation of COPD (AECOP...

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Autores principales: Yu, Tao, Wu, Hanna, Huang, Qingxia, Dong, Fen, Li, Xuexin, Zhang, Yushi, Duan, Ruirui, Niu, Hongtao, Yang, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070744/
https://www.ncbi.nlm.nih.gov/pubmed/37026137
http://dx.doi.org/10.3389/fpubh.2023.1069906
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author Yu, Tao
Wu, Hanna
Huang, Qingxia
Dong, Fen
Li, Xuexin
Zhang, Yushi
Duan, Ruirui
Niu, Hongtao
Yang, Ting
author_facet Yu, Tao
Wu, Hanna
Huang, Qingxia
Dong, Fen
Li, Xuexin
Zhang, Yushi
Duan, Ruirui
Niu, Hongtao
Yang, Ting
author_sort Yu, Tao
collection PubMed
description INTRODUCTION: The metabolomic changes caused by airborne fine particulate matter (PM(2.5)) exposure in patients with chronic obstructive pulmonary disease (COPD) remain unclear. The aim of this study was to determine whether it is possible to predict PM(2.5)-induced acute exacerbation of COPD (AECOPD) using metabolic markers. METHODS: Thirty-eight patients with COPD diagnosed by the 2018 Global Initiative for Obstructive Lung Disease were selected and divided into high exposure and low exposure groups. Questionnaire data, clinical data, and peripheral blood data were collected from the patients. Targeted metabolomics using liquid chromatography-tandem mass spectrometry was performed on the plasma samples to investigate the metabolic differences between the two groups and its correlation with the risk of acute exacerbation. RESULTS: Metabolomic analysis identified 311 metabolites in the plasma of patients with COPD, among which 21 metabolites showed significant changes between the two groups, involving seven pathways, including glycerophospholipid, alanine, aspartate, and glutamate metabolism. Among the 21 metabolites, arginine and glycochenodeoxycholic acid were positively associated with AECOPD during the three months of follow-up, with an area under the curve of 72.50% and 67.14%, respectively. DISCUSSION: PM(2.5) exposure can lead to changes in multiple metabolic pathways that contribute to the development of AECOPD, and arginine is a bridge between PM(2.5) exposure and AECOPD.
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spelling pubmed-100707442023-04-05 Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study Yu, Tao Wu, Hanna Huang, Qingxia Dong, Fen Li, Xuexin Zhang, Yushi Duan, Ruirui Niu, Hongtao Yang, Ting Front Public Health Public Health INTRODUCTION: The metabolomic changes caused by airborne fine particulate matter (PM(2.5)) exposure in patients with chronic obstructive pulmonary disease (COPD) remain unclear. The aim of this study was to determine whether it is possible to predict PM(2.5)-induced acute exacerbation of COPD (AECOPD) using metabolic markers. METHODS: Thirty-eight patients with COPD diagnosed by the 2018 Global Initiative for Obstructive Lung Disease were selected and divided into high exposure and low exposure groups. Questionnaire data, clinical data, and peripheral blood data were collected from the patients. Targeted metabolomics using liquid chromatography-tandem mass spectrometry was performed on the plasma samples to investigate the metabolic differences between the two groups and its correlation with the risk of acute exacerbation. RESULTS: Metabolomic analysis identified 311 metabolites in the plasma of patients with COPD, among which 21 metabolites showed significant changes between the two groups, involving seven pathways, including glycerophospholipid, alanine, aspartate, and glutamate metabolism. Among the 21 metabolites, arginine and glycochenodeoxycholic acid were positively associated with AECOPD during the three months of follow-up, with an area under the curve of 72.50% and 67.14%, respectively. DISCUSSION: PM(2.5) exposure can lead to changes in multiple metabolic pathways that contribute to the development of AECOPD, and arginine is a bridge between PM(2.5) exposure and AECOPD. Frontiers Media S.A. 2023-03-21 /pmc/articles/PMC10070744/ /pubmed/37026137 http://dx.doi.org/10.3389/fpubh.2023.1069906 Text en Copyright © 2023 Yu, Wu, Huang, Dong, Li, Zhang, Duan, Niu and Yang. 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 Public Health
Yu, Tao
Wu, Hanna
Huang, Qingxia
Dong, Fen
Li, Xuexin
Zhang, Yushi
Duan, Ruirui
Niu, Hongtao
Yang, Ting
Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study
title Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study
title_full Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study
title_fullStr Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study
title_full_unstemmed Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study
title_short Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study
title_sort outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: preliminary study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070744/
https://www.ncbi.nlm.nih.gov/pubmed/37026137
http://dx.doi.org/10.3389/fpubh.2023.1069906
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