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Herzog

Katharina Herzog

Postdoctoral fellow

Herzog

Population-Level Analysis to Determine Parameters That Drive Variation in the Plasma Metabolite Profiles

Author

  • Mahmoud Al-Majdoub
  • Katharina Herzog
  • Bledar Daka
  • Martin Magnusson
  • Lennart Råstam
  • Ulf Lindblad
  • Peter Spégel

Summary, in English

The plasma metabolome is associated with multiple phenotypes and diseases. However, a systematic study investigating clinical determinants that control the metabolome has not yet been conducted. In the present study, therefore, we aimed to identify the major determinants of the plasma metabolite profile. We used ultra-high performance liquid chromatography (UHPLC) coupled to quadrupole time of flight mass spectrometry (QTOF-MS) to determine 106 metabolites in plasma samples from 2503 subjects in a cross-sectional study. We investigated the correlation structure of the metabolite profiles and generated uncorrelated metabolite factors using principal component analysis (PCA) and varimax rotation. Finally, we investigated associations between these factors and 34 clinical covariates. Our results suggest that liver function, followed by kidney function and insulin resistance show the strongest associations with the plasma metabolite profile. The association of specific phenotypes with several components may suggest multiple independent metabolic mechanisms, which is further supported by the composition of the associated factors.

Department/s

  • Diabetes - Molecular Metabolism
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • Centre for Analysis and Synthesis
  • Cardiovascular Research - Hypertension
  • EpiHealth: Epidemiology for Health
  • Family Medicine and Community Medicine

Publishing year

2018-11-15

Language

English

Publication/Series

Metabolites

Volume

8

Issue

4

Document type

Journal article

Publisher

Multidisciplinary Digital Publishing Institute

Topic

  • Medicinal Chemistry
  • Cancer and Oncology

Status

Published

Research group

  • Diabetes - Molecular Metabolism
  • Cardiovascular Research - Hypertension
  • Family Medicine and Community Medicine

ISBN/ISSN/Other

  • ISSN: 2218-1989