Large-scale non-targeted metabolomic profiling in three human population-based studies

Non-targeted metabolomic profiling is used to simultaneously assess a large part of the metabolome in a biological sample. Here, we describe both the analytical and computational methods used to analyze a large UPLC–Q-TOF MS-based metabolomic profiling effort using plasma and serum samples from part...

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Bibliographic Details
Published in:Metabolomics 2016, Vol.12 (1), p.1, Article 4
Main Authors: Ganna, Andrea, Fall, Tove, Salihovic, Samira, Lee, Woojoo, Broeckling, Corey D., Kumar, Jitender, Hägg, Sara, Stenemo, Markus, Magnusson, Patrik K. E., Prenni, Jessica E., Lind, Lars, Pawitan, Yudi, Ingelsson, Erik
Format: Article
Language:English
Subjects:
Biochemistry
Biomedical and Life Sciences
Biomedicine
Cell Biology
Developmental Biology
Life Sciences
Medicin och hälsovetenskap
Metabolomics Epidemiology Annotation
Molecular Medicine
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Summary:Non-targeted metabolomic profiling is used to simultaneously assess a large part of the metabolome in a biological sample. Here, we describe both the analytical and computational methods used to analyze a large UPLC–Q-TOF MS-based metabolomic profiling effort using plasma and serum samples from participants in three Swedish population-based studies of middle-aged and older human subjects: TwinGene, ULSAM and PIVUS. At present, more than 200 metabolites have been manually annotated in more than 3600 participants using an in-house library of standards and publically available spectral databases. Data available at the metabolights repository include individual raw unprocessed data, processed data, basic demographic variables and spectra of annotated metabolites. Additional phenotypical and genetic data is available upon request to cohort steering committees. These studies represent a unique resource to explore and evaluate how metabolic variability across individuals affects human diseases.
ISSN:1573-3882
1573-3890
1573-3890
DOI:10.1007/s11306-015-0893-5