Metabolomics

Dataset Information

0

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


ABSTRACT: Import from https://yareta.unige.ch/#/home/detail/1671012c-e04b-46cd-9628-45e264b49759 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.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Gerard Hopfgartner  

PROVIDER: MSV000086876 | GNPS | Mon Feb 15 17:43:00 GMT 2021

REPOSITORIES: GNPS

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2018-09-11 | GSE119133 | GEO
2018-09-11 | GSE119129 | GEO
2018-09-11 | GSE119122 | GEO
2021-01-01 | GSE141362 | GEO
2021-09-10 | PXD025269 | Pride
2012-08-09 | E-GEOD-31348 | biostudies-arrayexpress
2012-08-09 | E-GEOD-36238 | biostudies-arrayexpress
2021-01-07 | GSE164329 | GEO
2020-01-09 | GSE142068 | GEO
2017-01-01 | GSE85180 | GEO