Multiplatform serum metabolic phenotyping combined with pathway mapping to identify biochemical differences in smokers
File(s)
Published version
Author(s)
Kaluarachchi, MR
Boulangé, CL
Garcia-Perez, I
Lindon, JC
Minet, EF
Type
Journal Article
Abstract
Aim: Determining perturbed biochemical functions associated with tobacco smoking should be helpful for establishing causal relationships between exposure and adverse events. Results: A multiplatform comparison of serum of smokers (n = 55) and never-smokers (n = 57) using nuclear magnetic resonance spectroscopy, UPLC–MS and statistical modeling revealed clustering of the classes, distinguished by metabolic biomarkers. The identified metabolites were subjected to metabolic pathway enrichment, modeling adverse biological events using available databases. Perturbation of metabolites involved in chronic obstructive pulmonary disease, cardiovascular diseases and cancer were identified and discussed. Conclusion: Combining multiplatform metabolic phenotyping with knowledge-based mapping gives mechanistic insights into disease development, which can be applied to next-generation tobacco and nicotine products for comparative risk assessment.
Date Issued
2016-09-16
Date Acceptance
2016-08-03
Citation
Bioanalysis, 2016, 8 (19), pp.2023-2043
ISSN
1757-6199
Publisher
Future Science
Start Page
2023
End Page
2043
Journal / Book Title
Bioanalysis
Volume
8
Issue
19
Copyright Statement
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 Unported License
License URL
Subjects
biomarker
metabonomics/metabolomics
xenobiotics
Publication Status
Published