ArticleMetabolomics : Official journal of the Metabolomic Society2018
Reproducibility of non-fasting plasma metabolomics measurements across processing delays.
Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- An Overview of Pre-Analytical Factors Impacting Metabolomics Analyses of Blood Samples.Metabolites · 2024Review
- Tryptophan metabolites and incident cardiovascular disease: The EPIC-Norfolk prospective population study.Atherosclerosis · 2023Article
- Article
- The Influence of Preanalytical Biospecimen Handling on the Measurement of B Vitamers, Amino Acids, and Other Metabolites in Blood.Biopreservation and biobanking · 2023Article
- Metabolomic changes in animal models of depression: a systematic analysis.Molecular psychiatry · 2021Article
- From bedside to bench-practical considerations to avoid pre-analytical pitfalls and assess sample quality for high-resolution metabolomics and lipidomics analyses of body fluids.Analytical and bioanalytical chemistry · 2021Review
- Comparison of dried blood spot and plasma sampling for untargeted metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- Pre-Diagnostic Circulating Metabolites and Colorectal Cancer Risk in the Cancer Prevention Study-II Nutrition Cohort.Metabolites · 2021Article
- Preanalytical Sample Handling Conditions and Their Effects on the Human Serum Metabolome in Epidemiologic Studies.American journal of epidemiology · 2021Article
- Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications.Molecules (Basel, Switzerland) · 2020Review
- Recommendations and Best Practices for Standardizing the Pre-Analytical Processing of Blood and Urine Samples in Metabolomics.Metabolites · 2020Review
- The key points in the pre-analytical procedures of blood and urine samples in metabolomics studies.Metabolomics : Official journal of the Metabolomic Society · 2020Review
- Commentary: Metabolomics-Based Studies Assessing Exercise-Induced Alterations of the Human Metabolome: A Systematic Review.Frontiers in physiology · 2020Article
- Pre-Analytical Factors that Affect Metabolite Stability in Human Urine, Plasma, and Serum: A Review.Metabolites · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionProcessing delays after blood collection is a common pre-analytical condition in large epidemiologic studies. It is critical to evaluate the suitability of blood samples with processing delays for metabolomics analysis as it is a potential source of variation that could attenuate associations between metabolites and disease outcomes.
objectivesWe aimed to evaluate the reproducibility of metabolites over extended processing delays up to 48 h. We also aimed to test the reproducibility of the metabolomics platform.
methodsBlood samples were collected from 18 healthy volunteers. Blood was stored in the refrigerator and processed for plasma at 0, 15, 30, and 48 h after collection. Plasma samples were metabolically profiled using an untargeted, ultrahigh performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) platform. Reproducibility of 1012 metabolites over processing delays and reproducibility of the platform were determined by intraclass correlation coefficients (ICCs) with variance components estimated from mixed-effects models.
resultsThe majority of metabolites (approximately 70% of 1012) were highly reproducible (ICCs ≥ 0.75) over 15-, 30- or 48-h processing delays. Nucleotides, energy-related metabolites, peptides, and carbohydrates were most affected by processing delays. The platform was highly reproducible with a median technical ICC of 0.84 (interquartile range 0.68-0.93).
conclusionMost metabolites measured by the UPLC-MS/MS platform show acceptable reproducibility up to 48-h processing delays. Metabolites of certain pathways need to be interpreted cautiously in relation to outcomes in epidemiologic studies with prolonged processing delays.
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