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© Research
Publication : Metabolomics : Official journal of the Metabolomic Society

LacaScore: a novel plasma sample quality control tool based on ascorbic acid and lactic acid levels.

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Metabolomics : Official journal of the Metabolomic Society - 01 Jan 2016

Trezzi JP, Bulla A, Bellora C, Rose M, Lescuyer P, Kiehntopf M, Hiller K, Betsou F,

Link to Pubmed [PMID] – 27199628

Link to DOI – 96

Metabolomics 2016 ; 12(): 96

Metabolome analysis is complicated by the continuous dynamic changes of metabolites in vivo and ex vivo. One of the main challenges in metabolomics is the robustness and reproducibility of results, partially driven by pre-analytical variations.The objective of this study was to analyse the impact of pre-centrifugation time and temperature, and to determine a quality control marker in plasma samples.Plasma metabolites were measured by gas chromatography-mass spectrometry (GC-MS) and analysed with the MetaboliteDetector software. The metabolites, which were the most labile to pre-analytical variations, were further measured by enzymatic assays. A score was calculated for their use as quality control markers.The pre-centrifugation temperature was shown to be critical in the stability of plasma samples and had a significant impact on metabolite concentration profiles. In contrast, pre-centrifugation delay had only a minor impact. Based on the results of this study, whole blood should be kept on wet ice and centrifuged within maximum 3 h as a prerequisite for preparing EDTA plasma samples fit for the purpose of metabolome analysis.We have established a novel blood sample quality control marker, the LacaScore, based on the ascorbic acid to lactic acid ratio in plasma, which can be used as an indicator of the blood pre-centrifugation conditions, and hence the suitability of the sample for metabolome analyses. This method can be applied in research institutes and biobanks, enabling assessment of the quality of their plasma sample collections.

https://pubmed.ncbi.nlm.nih.gov/27199628