Back to Search
Start Over
Metabolomic differences in lung function metrics: evidence from two cohorts.
- Source :
-
Thorax [Thorax] 2022 Sep; Vol. 77 (9), pp. 919-928. Date of Electronic Publication: 2021 Oct 14. - Publication Year :
- 2022
-
Abstract
- Rationale: The biochemical mechanisms underlying lung function are incompletely understood.<br />Objectives: To identify and validate the plasma metabolome of lung function using two independent adult cohorts: discovery-the European Prospective Investigation into Cancer-Norfolk (EPIC-Norfolk, n=10 460) and validation-the VA Normative Aging Study (NAS) metabolomic cohort (n=437).<br />Methods: We ran linear regression models for 693 metabolites to identify associations with forced expiratory volume in one second (FEV <subscript>1</subscript> ) and the ratio of FEV <subscript>1</subscript> to forced vital capacity (FEV <subscript>1</subscript> /FVC), in EPIC-Norfolk then validated significant findings in NAS. Significance in EPIC-Norfolk was denoted using an effective number of tests threshold of 95%; a metabolite was considered validated in NAS if the direction of effect was consistent and p<0.05.<br />Measurements and Main Results: Of 156 metabolites that associated with FEV <subscript>1</subscript> in EPIC-Norfolk after adjustment for age, sex, body mass index, height, smoking and asthma status, 34 (21.8%) validated in NAS, including several metabolites involved in oxidative stress. When restricting the discovery sample to men only, a similar percentage, 18 of 79 significant metabolites (22.8%) were validated. A smaller number of metabolites were validated for FEV <subscript>1</subscript> /FVC, 6 of 65 (9.2%) when including all EPIC-Norfolk as the discovery population, and 2 of 34 (5.9%) when restricting to men. These metabolites were characterised by involvement in respiratory track secretants. Interestingly, no metabolites were validated for both FEV <subscript>1</subscript> and FEV <subscript>1</subscript> /FVC.<br />Conclusions: The validation of metabolites associated with respiratory function can help to better understand mechanisms of lung health and may assist the development of biomarkers.<br />Competing Interests: Competing interests: None declared.<br /> (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)
Details
- Language :
- English
- ISSN :
- 1468-3296
- Volume :
- 77
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Thorax
- Publication Type :
- Academic Journal
- Accession number :
- 34650005
- Full Text :
- https://doi.org/10.1136/thoraxjnl-2020-216639