The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Gustav Smith, MD, PhD

Gustav Smith

Associate professor

Gustav Smith, MD, PhD

Analysis of plasma metabolomes from 11 309 subjects in five population-based cohorts

Author

  • Nilanjana Ghosh
  • Carl Lejonberg
  • Tomasz Czuba
  • Koen Dekkers
  • Richard Robinson
  • Johan Ärnlöv
  • Olle Melander
  • Maya Landenhed Smith
  • Anne M. Evans
  • Olof Gidlöf
  • Robert E. Gerszten
  • Lars Lind
  • Gunnar Engström
  • Tove Fall
  • J. Gustav Smith

Summary, in English

Plasma metabolomics holds potential for precision medicine, but limited information is available to compare the performance of such methods across multiple cohorts. We compared plasma metabolite profiles after an overnight fast in 11,309 participants of five population-based Swedish cohorts (50–80 years, 52% women). Metabolite profiles were uniformly generated at a core laboratory (Metabolon Inc.) with untargeted liquid chromatography mass spectrometry and a comprehensive reference library. Analysis of a second sample obtained one year later was conducted in a subset. Of 1629 detected metabolites, 1074 (66%) were detected in all cohorts while only 10% were unique to one cohort, most of which were xenobiotics or uncharacterized. The major classes were lipids (28%), xenobiotics (22%), amino acids (14%), and uncharacterized (19%). The most abundant plasma metabolome components were the major dietary fatty acids and amino acids, glucose, lactate and creatinine. Most metabolites displayed a log-normal distribution. Temporal variability was generally similar to clinical chemistry analytes but more pronounced for xenobiotics. Extensive metabolite-metabolite correlations were observed but mainly restricted to within each class. Metabolites were broadly associated with clinical factors, particularly body mass index, sex and renal function. Collectively, our findings inform the conduct and interpretation of metabolite association and precision medicine studies.

Department/s

  • Molecular Epidemiology and Cardiology
  • Cardiology
  • EXODIAB: Excellence of Diabetes Research in Sweden
  • MultiPark: Multidisciplinary research focused on Parkinson´s disease
  • EpiHealth: Epidemiology for Health
  • Cardiovascular Research - Hypertension
  • Cardiovascular Epigenetics
  • Molecular Cardiology
  • Cardiovascular Research - Epidemiology
  • WCMM-Wallenberg Centre for Molecular Medicine
  • Heart Failure and Mechanical Support

Publishing year

2024-12

Language

English

Publication/Series

Scientific Reports

Volume

14

Issue

1

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Cell and Molecular Biology

Status

Published

Research group

  • Molecular Epidemiology and Cardiology
  • Cardiovascular Research - Hypertension
  • Cardiovascular Epigenetics
  • Molecular Cardiology
  • Cardiovascular Research - Epidemiology
  • Heart Failure and Mechanical Support

ISBN/ISSN/Other

  • ISSN: 2045-2322