ArticleInternational journal of molecular sciences2016
A Systematic Evaluation of Blood Serum and Plasma Pre-Analytics for Metabolomics Cohort Studies.
Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Identification of High-Performing Blood Metabolite Biomarkers of Lung Cancer in a Chinese Population.Phenomics (Cham, Switzerland) · 2026Article
- Serum metabolomics identifies metabolic changes in obese cats fed enzymatically hydrolyzed poultry byproduct meal.Journal of veterinary internal medicine · 2026Article
- Differences among canine serum, plasma and urine metabolite profiles from samples that were collected at the same time.Frontiers in veterinary science · 2026Article
- Metabolomic risk predictors of diabetic foot complications: A longitudinal observational study in type 1 diabetes.Diabetes, obesity & metabolism · 2025Observational
- Validating Centralized Biobanking Workflows for NMR Metabolomics Using the PRIMA Panel.Analytical chemistry · 2025Article
- Metabolomics uncovers the diabetes metabolic network: from pathophysiological mechanisms to clinical applications.Frontiers in endocrinology · 2025Review
- Preanalytical (Mis)Handling of Plasma Investigated byACS omega · 2024Article
- Plant Metabolomics: The Future of Anticancer Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2024Review
- An Overview of Pre-Analytical Factors Impacting Metabolomics Analyses of Blood Samples.Metabolites · 2024Review
- Detection and analysis of chiral molecules as disease biomarkers.Nature reviews. Chemistry · 2023Review
- Effect of Delayed Centrifugation on the Levels of NMR-Measured Lipoproteins and Metabolites in Plasma and Serum Samples.Analytical chemistry · 2022Article
- Review
- Preanalytical Pitfalls in Untargeted Plasma Nuclear Magnetic Resonance Metabolomics of Endocrine Hypertension.Metabolites · 2022Article
- Article
- Plasma Amino Acids May Improve Prediction Accuracy of Cerebral Vasospasm after Aneurysmal Subarachnoid Haemorrhage.Journal of clinical medicine · 2022Article
- Defining Acute Coronary Syndrome through Metabolomics.Metabolites · 2021Review
- Metabolite Ratios as Quality Indicators for Pre-Analytical Variation in Serum and EDTA Plasma.Metabolites · 2021Article
- Novel Serum and Urinary Metabolites Associated with Diabetic Retinopathy in Three Asian Cohorts.Metabolites · 2021Article
- Detection of Lung Cancer via Blood Plasma andMetabolites · 2021Article
- Comparing Metabolomics Profiles in Various Types of Liquid Biopsies among Screening Participants with and without Advanced Colorectal Neoplasms.Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent thriving development of biobanks and associated high-throughput phenotyping studies requires the elaboration of large-scale approaches for monitoring biological sample quality and compliance with standard protocols. We present a metabolomic investigation of human blood samples that delineates pitfalls and guidelines for the collection, storage and handling procedures for serum and plasma. A series of eight pre-processing technical parameters is systematically investigated along variable ranges commonly encountered across clinical studies. While metabolic fingerprints, as assessed by nuclear magnetic resonance, are not significantly affected by altered centrifugation parameters or delays between sample pre-processing (blood centrifugation) and storage, our metabolomic investigation highlights that both the delay and storage temperature between blood draw and centrifugation are the primary parameters impacting serum and plasma metabolic profiles. Storing the blood drawn at 4 °C is shown to be a reliable routine to confine variability associated with idle time prior to sample pre-processing. Based on their fine sensitivity to pre-analytical parameters and protocol variations, metabolic fingerprints could be exploited as valuable ways to determine compliance with standard procedures and quality assessment of blood samples within large multi-omic clinical and translational cohort studies.
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