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Scientific article
Open access
English

Metabolomics data complemented drug use information in epidemiological databases: pilot study of potential kidney donors

Published inJournal of Clinical Epidemiology, vol. 135, p. 10-16
Publication date2021
Abstract

Objective: The objective of this study was to investigate whether clinical metabolomics, which is increasingly applied in population-based and epidemiological studies, can be used to provide analytical evidence of exposures, and whether such information can be useful to strengthen and/or complement corresponding clinical database entries, taking drug use as an example. Study design and setting: Liquid chromatography-mass spectrometry (LC-MS) metabolomics analyses were performed on urine from 100 randomly-selected control subjects (50% females) from the TransplantLines Food and Nutrition Biobank and Cohort Study (NCT identifier 'NCT02811835'), and drugs were identified through spectral library searching and targeted signal extraction. Results: In 83 subjects for whom drug use information was available, 22 expected and 26 unexpected prescription-only drugs were identified, while 28 expected prescription-only drugs remained undetected. In addition, 7 prescription-only drugs were found in 17 subjects for whom drug use information was unavailable, and 58 over-the-counter drugs were identified in all 100 subjects. Conclusion: Molecular evidence for many drugs could be retrieved from LC-MS metabolomics data, which could be useful to complement and strengthen epidemiological databases given that considerable discrepancies were found between analytically-identified drugs and drugs listed in the available clinical database.

Keywords
  • Database
  • Drugs
  • Epidemiology
  • Metabolomics
  • Omics
Funding
  • European Commission - MSCA-IF-2019-887661
Citation (ISO format)
KLONT, Frank et al. Metabolomics data complemented drug use information in epidemiological databases: pilot study of potential kidney donors. In: Journal of Clinical Epidemiology, 2021, vol. 135, p. 10–16. doi: 10.1016/j.jclinepi.2021.02.008
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Article (Published version)
Identifiers
ISSN of the journal0895-4356
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