A cross-omics integrative study of metabolic signatures of chronic obstructive pulmonary disease.
Aged
Aged, 80 and over
Biomarkers
/ blood
Cohort Studies
Female
Glycoproteins
/ blood
Humans
Logistic Models
Lung
/ metabolism
Male
Mendelian Randomization Analysis
Metabolomics
/ methods
Middle Aged
Netherlands
/ epidemiology
Prognosis
Pulmonary Disease, Chronic Obstructive
/ blood
Risk Factors
Survival Rate
Biomarkers
COPD
Glycoprotein acetyls
Mendelian randomization
Metabolomics
Journal
BMC pulmonary medicine
ISSN: 1471-2466
Titre abrégé: BMC Pulm Med
Pays: England
ID NLM: 100968563
Informations de publication
Date de publication:
16 Jul 2020
16 Jul 2020
Historique:
received:
12
04
2020
accepted:
29
06
2020
entrez:
18
7
2020
pubmed:
18
7
2020
medline:
29
4
2021
Statut:
epublish
Résumé
Chronic obstructive pulmonary disease (COPD) is a common lung disorder characterized by persistent and progressive airflow limitation as well as systemic changes. Metabolic changes in blood may help detect COPD in an earlier stage and predict prognosis. We conducted a comprehensive study of circulating metabolites, measured by proton Nuclear Magnetic Resonance Spectroscopy, in relation with COPD and lung function. The discovery sample consisted of 5557 individuals from two large population-based studies in the Netherlands, the Rotterdam Study and the Erasmus Rucphen Family study. Significant findings were replicated in 12,205 individuals from the Lifelines-DEEP study, FINRISK and the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) studies. For replicated metabolites further investigation of causality was performed, utilizing genetics in the Mendelian randomization approach. There were 602 cases of COPD and 4955 controls used in the discovery meta-analysis. Our logistic regression results showed that higher levels of plasma Glycoprotein acetyls (GlycA) are significantly associated with COPD (OR = 1.16, P = 5.6 × 10 Our study shows that circulating blood GlycA is a biomarker of early COPD pathology.
Sections du résumé
BACKGROUND
BACKGROUND
Chronic obstructive pulmonary disease (COPD) is a common lung disorder characterized by persistent and progressive airflow limitation as well as systemic changes. Metabolic changes in blood may help detect COPD in an earlier stage and predict prognosis.
METHODS
METHODS
We conducted a comprehensive study of circulating metabolites, measured by proton Nuclear Magnetic Resonance Spectroscopy, in relation with COPD and lung function. The discovery sample consisted of 5557 individuals from two large population-based studies in the Netherlands, the Rotterdam Study and the Erasmus Rucphen Family study. Significant findings were replicated in 12,205 individuals from the Lifelines-DEEP study, FINRISK and the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) studies. For replicated metabolites further investigation of causality was performed, utilizing genetics in the Mendelian randomization approach.
RESULTS
RESULTS
There were 602 cases of COPD and 4955 controls used in the discovery meta-analysis. Our logistic regression results showed that higher levels of plasma Glycoprotein acetyls (GlycA) are significantly associated with COPD (OR = 1.16, P = 5.6 × 10
CONCLUSIONS
CONCLUSIONS
Our study shows that circulating blood GlycA is a biomarker of early COPD pathology.
Identifiants
pubmed: 32677943
doi: 10.1186/s12890-020-01222-7
pii: 10.1186/s12890-020-01222-7
pmc: PMC7364599
doi:
Substances chimiques
Biomarkers
0
Glycoproteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
193Subventions
Organisme : NWO
ID : 184.021.007 and 184033111
Organisme : NWO
ID : RFBR 047.017.043
Organisme : NWO
ID : NWO-VIDI 864.13.013
Organisme : NWO
ID : NWO-VIDI 016.178.056
Organisme : Longfonds
ID : 4.1.13.007
Organisme : European Commission (LSHG-CT-2006-01947)
ID : 018947
Organisme : European Community's Seventh Framework Programme (FP7/2007-2013)
ID : HEALTH-F4-2007-201413
Organisme : Netherlands Heart Foundation
ID : IN-CONTROL CVON grant 2012-03
Organisme : European Research Council
ID : 715772
Pays : International
Organisme : Finnish Academy
ID : 139635 and 118065
Organisme : Academy of Finland
ID : 297338 and 307247
Organisme : Novo Nordisk Fonden
ID : NNF17OC0026062
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