4.7 Article

Influence of the collection tube on metabolomic changes in serum and plasma

期刊

TALANTA
卷 150, 期 -, 页码 681-689

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.talanta.2015.12.079

关键词

GC-TOF/MS; Metabolomics; Plasma; Polymeric gel tubes; Sampling tubes; Serum

资金

  1. Spanish Ministerio de Economia y Competitividad (MINECO)
  2. European FEDER [CTQ2012-37428]
  3. Ministerio de Ciencia e Innovacion (MICINN) [RYC-2009-03921]

向作者/读者索取更多资源

Major threats in metabolomics clinical research are biases in sampling and preparation of biological samples. Bias in sample collection is a frequently forgotten aspect responsible for uncontrolled errors in metabolomics analysis. There is a great diversity of blood collection tubes for sampling serum or plasma, which are widely used in metabolomics analysis. Most of the existing studies dealing with the influence of blood collection on metabolomics analysis have been restricted to comparison between plasma and serum. However, polymeric gel tubes, which are frequently proposed to accelerate the separation of serum and plasma, have not been studied. In the present research, samples of serum or plasma collected in polymeric gel tubes were compared with those taken in conventional tubes from a metabolomics perspective using an untargeted GC-TOF/MS approach. The main differences between serum and plasma collected in conventional tubes affected to critical pathways such as the citric acid cycle, metabolism of amino acids, fructose and mannose metabolism and that of glycerolipids, and pentose and glucuronate interconversion. On the other hand, the polymeric gel only promoted differences at the metabolite level in serum since no critical differences were observed between plasma collected with EDTA tubes and polymeric gel tubes. Thus, the main changes were attributable to serum collected in gel and affected to the metabolism of amino acids such as alanine, proline and threonine, the glycerolipids metabolism, and two primary metabolites such as aconitic acid and lactic acid. Therefore, these metabolite changes should be taken into account in planning an experimental protocol for metabolomics analysis. (C) 2016 Elsevier B.V. All rights reserved.

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