Literature DB >> 34650005

Metabolomic differences in lung function metrics: evidence from two cohorts.

Rachel S Kelly1, Isobel D Stewart2, Haley Bayne3, Priyadarshini Kachroo3, Avron Spiro4,5,6, Pantel Vokonas7, David Sparrow7, Scott T Weiss3, Hanna M Knihtilä3, Augusto A Litonjua8, Nicholas J Wareham2, Claudia Langenberg2, Jessica A Lasky-Su3.   

Abstract

RATIONALE: The biochemical mechanisms underlying lung function are incompletely understood.
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).
METHODS: We ran linear regression models for 693 metabolites to identify associations with forced expiratory volume in one second (FEV1) and the ratio of FEV1 to forced vital capacity (FEV1/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.
MEASUREMENTS AND MAIN RESULTS: Of 156 metabolites that associated with FEV1 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 FEV1/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 FEV1 and FEV1/FVC.
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. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  clinical epidemiology; oxidative stress; respiratory measurement; systemic disease and lungs

Mesh:

Year:  2021        PMID: 34650005      PMCID: PMC9008068          DOI: 10.1136/thoraxjnl-2020-216639

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.102


  1 in total

1.  A Metabolomic Severity Score for Airflow Obstruction and Emphysema.

Authors:  Suneeta Godbole; Wassim W Labaki; Katherine A Pratte; Andrew Hill; Matthew Moll; Annette T Hastie; Stephen P Peters; Andrew Gregory; Victor E Ortega; Dawn DeMeo; Michael H Cho; Surya P Bhatt; J Michael Wells; Igor Barjaktarevic; Kathleen A Stringer; Alejandro Comellas; Wanda O'Neal; Katerina Kechris; Russell P Bowler
Journal:  Metabolites       Date:  2022-04-19
  1 in total

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