Metabolic changes of different high-resolution computed tomography phenotypes of COPD after budesonide–formoterol treatment

Cheng Wang,1 Jun-Xiong Li,1 Dang Tang,2 Jian-Qing Zhang,1 Li-Zhou Fang,1 Wei-Ping Fu,1 Ling Liu,1 Lu-Ming Dai1 1Second Department of Respiratory Medicine, 2First Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China B...

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Main Authors: Wang C, Li JX, Tang D, Zhang JQ, Fang LZ, Fu WP, Liu L, Dai LM
Format: Article
Language:English
Published: Dove Medical Press 2017-12-01
Series:International Journal of COPD
Subjects:
Online Access:https://www.dovepress.com/metabolic-changes-of-different-high-resolution-computed-tomography-phe-peer-reviewed-article-COPD
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spelling doaj-5601c2cf068346fa8f6d9cd28ec030972020-11-24T23:24:04ZengDove Medical PressInternational Journal of COPD1178-20052017-12-01Volume 123511352135889Metabolic changes of different high-resolution computed tomography phenotypes of COPD after budesonide–formoterol treatmentWang CLi JXTang DZhang JQFang LZFu WPLiu LDai LMCheng Wang,1 Jun-Xiong Li,1 Dang Tang,2 Jian-Qing Zhang,1 Li-Zhou Fang,1 Wei-Ping Fu,1 Ling Liu,1 Lu-Ming Dai1 1Second Department of Respiratory Medicine, 2First Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China Background: Metabolomics is the global unbiased analysis of all the small-molecule metabolites within a biological system. Metabolic profiling of different high-resolution computed tomography (HRCT) phenotypes of COPD patients before and after treatment may identify discriminatory metabolites that can serve as biomarkers and therapeutic agents. Patients and methods: 1H nuclear magnetic resonance spectroscopy (1H-NMR)-based metabolomics was performed on a discovery set of plasma samples from 50 patients with stable COPD. Patients were assigned into two groups on the basis of HRCT findings including phenotype E (n=22) and phenotype M (n=28). After budesonide–formoterol treatment (160/4.5 µg ×2 inhalations twice daily for 3 months), clinical characteristics and metabolites were then compared between phenotype E pretreatment and posttreatment, phenotype M pretreatment and posttreatment, phenotype E pretreatment and phenotype M pretreatment, and phenotype E posttreatment and phenotype M posttreatment. Results: Inhaled budesonide–formoterol therapy for both phenotype E (emphysema without bronchial wall thickening) and phenotype M (emphysema with bronchial wall thickening) was effective. However, phenotype E and phenotype M were different in response to therapy. Patients with phenotype M in response to therapeutic effects were significantly greater compared with phenotype E. Certain metabolites were identified, which were closely related to the treatment and phenotype. Metabolic changes in phenotype E or phenotype M after treatment may be involved with adenosine diphosphate (ADP), guanosine, choline, malonate, tyrosine, glycine, proline, l-alanine, l-valine, l-threonine leucine, uridine, pyruvic acid, acetone and metabolism disturbance. Metabolic differences between phenotype E and phenotype M in pretreatment and posttreatment covered glycine, D-glucose, pyruvic acid, succinate, lactate, proline, l-valine and leucine. Conclusion: Bronchial wall thickening in COPD may be an indicator for predicting the better response to the treatment with bronchodilator and corticosteroid. The identification of metabolic alterations provides new insights into different HRCT phenotypes and therapeutic assessment of COPD. Keywords: COPD, metabolomics, budesonide–formoterol, HRCThttps://www.dovepress.com/metabolic-changes-of-different-high-resolution-computed-tomography-phe-peer-reviewed-article-COPDCOPDmetabolomicsbudesonide-formoterolHRCT
collection DOAJ
language English
format Article
sources DOAJ
author Wang C
Li JX
Tang D
Zhang JQ
Fang LZ
Fu WP
Liu L
Dai LM
spellingShingle Wang C
Li JX
Tang D
Zhang JQ
Fang LZ
Fu WP
Liu L
Dai LM
Metabolic changes of different high-resolution computed tomography phenotypes of COPD after budesonide–formoterol treatment
International Journal of COPD
COPD
metabolomics
budesonide-formoterol
HRCT
author_facet Wang C
Li JX
Tang D
Zhang JQ
Fang LZ
Fu WP
Liu L
Dai LM
author_sort Wang C
title Metabolic changes of different high-resolution computed tomography phenotypes of COPD after budesonide–formoterol treatment
title_short Metabolic changes of different high-resolution computed tomography phenotypes of COPD after budesonide–formoterol treatment
title_full Metabolic changes of different high-resolution computed tomography phenotypes of COPD after budesonide–formoterol treatment
title_fullStr Metabolic changes of different high-resolution computed tomography phenotypes of COPD after budesonide–formoterol treatment
title_full_unstemmed Metabolic changes of different high-resolution computed tomography phenotypes of COPD after budesonide–formoterol treatment
title_sort metabolic changes of different high-resolution computed tomography phenotypes of copd after budesonide–formoterol treatment
publisher Dove Medical Press
series International Journal of COPD
issn 1178-2005
publishDate 2017-12-01
description Cheng Wang,1 Jun-Xiong Li,1 Dang Tang,2 Jian-Qing Zhang,1 Li-Zhou Fang,1 Wei-Ping Fu,1 Ling Liu,1 Lu-Ming Dai1 1Second Department of Respiratory Medicine, 2First Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China Background: Metabolomics is the global unbiased analysis of all the small-molecule metabolites within a biological system. Metabolic profiling of different high-resolution computed tomography (HRCT) phenotypes of COPD patients before and after treatment may identify discriminatory metabolites that can serve as biomarkers and therapeutic agents. Patients and methods: 1H nuclear magnetic resonance spectroscopy (1H-NMR)-based metabolomics was performed on a discovery set of plasma samples from 50 patients with stable COPD. Patients were assigned into two groups on the basis of HRCT findings including phenotype E (n=22) and phenotype M (n=28). After budesonide–formoterol treatment (160/4.5 µg ×2 inhalations twice daily for 3 months), clinical characteristics and metabolites were then compared between phenotype E pretreatment and posttreatment, phenotype M pretreatment and posttreatment, phenotype E pretreatment and phenotype M pretreatment, and phenotype E posttreatment and phenotype M posttreatment. Results: Inhaled budesonide–formoterol therapy for both phenotype E (emphysema without bronchial wall thickening) and phenotype M (emphysema with bronchial wall thickening) was effective. However, phenotype E and phenotype M were different in response to therapy. Patients with phenotype M in response to therapeutic effects were significantly greater compared with phenotype E. Certain metabolites were identified, which were closely related to the treatment and phenotype. Metabolic changes in phenotype E or phenotype M after treatment may be involved with adenosine diphosphate (ADP), guanosine, choline, malonate, tyrosine, glycine, proline, l-alanine, l-valine, l-threonine leucine, uridine, pyruvic acid, acetone and metabolism disturbance. Metabolic differences between phenotype E and phenotype M in pretreatment and posttreatment covered glycine, D-glucose, pyruvic acid, succinate, lactate, proline, l-valine and leucine. Conclusion: Bronchial wall thickening in COPD may be an indicator for predicting the better response to the treatment with bronchodilator and corticosteroid. The identification of metabolic alterations provides new insights into different HRCT phenotypes and therapeutic assessment of COPD. Keywords: COPD, metabolomics, budesonide–formoterol, HRCT
topic COPD
metabolomics
budesonide-formoterol
HRCT
url https://www.dovepress.com/metabolic-changes-of-different-high-resolution-computed-tomography-phe-peer-reviewed-article-COPD
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