ArticleScientific reports2024
Analysis of plasma metabolomes from 11 309 subjects in five population-based cohorts.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The Gini coefficient as a surrogate for the regulability or homeostasis of metabolite concentrations: focus on ergothioneine.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Linking Lipidomics to Vulnerable Coronary Plaques: A PROSPECT II Substudy.Arteriosclerosis, thrombosis, and vascular biology · 2026Article
- Comparison of fecal and plasma metabolite correlations following nutrition or exercise interventions.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Untargeted Metabolomic and Lipidomic Profiles of Gingival Crevicular Fluid in the Context of Periodontitis.Journal of clinical periodontology · 2026Article
- An integrated Biobank in the Swedish Heart Failure Registry-clinomics, proteomics, transcriptomics and genomics.ESC heart failure · 2026Observational
- Article
- HUBMet: an integrative database and analytical platform for human blood metabolites and metabolite-protein associations.Genome biology · 2025Article
- The metabolic signature of salt intake: a cross-sectional analysis from the SCAPIS-study.Nutrition & metabolism · 2025Article
- Metabolite Profiles of Heart Failure, Central Hemodynamic Derangement, and Response to Heart Transplantation.Journal of the American Heart Association · 2025Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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