Literature DB >> 33704583

Assessment of the effects of repeated freeze thawing and extended bench top processing of plasma samples using untargeted metabolomics.

Kelli Goodman1, Matthew Mitchell1, Anne M Evans1, Luke A D Miller1, Lisa Ford1, Bryan Wittmann1, Adam D Kennedy1, Douglas Toal2.   

Abstract

INTRODUCTION: Clinical metabolomics has utility as a screen for inborn errors of metabolism (IEM) and variant classification in patients with rare disease. It is important to understand and characterize preanalytical factors that influence assay performance during patient sample testing.
OBJECTIVES: To evaluate the impact of extended thawing of human EDTA plasma samples on ice prior to extraction as well as repeated freeze-thaw cycling of samples to identify compounds that are unstable prior to metabolomic analysis.
METHODS: Twenty-four (24) donor EDTA plasma samples were collected and immediately frozen at - 80 °C. Twelve samples were thawed on ice and extracted for analysis at time 0, 2, 4, and 6 h. Twelve other donor samples were repeatedly thawed and frozen up to four times and analyzed at each cycle. Compound levels at each time point/freeze-thaw cycle were compared to the control samples using matched-paired t tests to identify analytes affected by each condition.
RESULTS: We identified 1026 biochemicals across all samples. Incubation of thawed EDTA plasma samples on ice for up to 6 h resulted in < 1% of biochemicals changing significantly. Freeze-thaw cycles affected a greater percentage of the metabolome; ~ 2% of biochemicals changed after 3 freeze-thaw cycles.
CONCLUSIONS: Our study highlights that the number and magnitude of these changes are not as widespread as other aspects of improper sample handling. In total, < 3% of the metabolome detected on our clinical metabolomics platform should be disqualified when multiple freeze-thaw cycles or extended thawing at 4 °C are performed on a given sample.

Entities:  

Keywords:  Benchtop stability; Clinical diagnostic; Freeze–thaw; Metabolomics; Pre-analytical error; Validation

Year:  2021        PMID: 33704583     DOI: 10.1007/s11306-021-01782-7

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  34 in total

1.  Effect of multiple freeze and thaw cycles on the sensitivity of IgG and IgM immunoglobulins in the sera of patients with syphilis.

Authors:  Arnold R Castro; Heather A Jost
Journal:  Sex Transm Dis       Date:  2013-11       Impact factor: 2.830

2.  Aromatic L-amino acid decarboxylase deficiency diagnosed by clinical metabolomic profiling of plasma.

Authors:  Paldeep S Atwal; Taraka R Donti; Aaron L Cardon; C A Bacino; Qin Sun; L Emrick; V Reid Sutton; Sarah H Elsea
Journal:  Mol Genet Metab       Date:  2015-05-02       Impact factor: 4.797

3.  Effects of Freeze-Thaw and Storage on Enzymatic Activities, Protein Oxidative Damage, and Immunocontent of the Blood, Liver, and Brain of Rats.

Authors:  Rafael Calixto Bortolin; Juciano Gasparotto; Amanda Rodrigues Vargas; Maurilio da Silva Morrone; Alice Kunzler; Bernardo Saldanha Henkin; Paloma Rodrigues Chaves; Sabrina Roncato; Daniel Pens Gelain; José Cláudio Fonseca Moreira
Journal:  Biopreserv Biobank       Date:  2016-09-23       Impact factor: 2.300

4.  Organization of GC/MS and LC/MS metabolomics data into chemical libraries.

Authors:  Corey D Dehaven; Anne M Evans; Hongping Dai; Kay A Lawton
Journal:  J Cheminform       Date:  2010-10-18       Impact factor: 5.514

5.  Stabilization of glucose in blood samples: why it matters.

Authors:  David E Bruns; William C Knowler
Journal:  Clin Chem       Date:  2009-03-12       Impact factor: 8.327

6.  Analyses of SLC13A5-epilepsy patients reveal perturbations of TCA cycle.

Authors:  Matthew N Bainbridge; Erin Cooney; Marcus Miller; Adam D Kennedy; Jacob E Wulff; Taraka Donti; Shalini N Jhangiani; Richard A Gibbs; Sarah H Elsea; Brenda E Porter; Brett H Graham
Journal:  Mol Genet Metab       Date:  2017-06-24       Impact factor: 4.797

7.  Ex-vivo changes in amino acid concentrations from blood stored at room temperature or on ice: implications for arginine and taurine measurements.

Authors:  Joshua S Davis; Christabelle J Darcy; Kim Piera; Yvette R McNeil; Tonia Woodberry; Nicholas M Anstey
Journal:  BMC Clin Pathol       Date:  2009-11-27

8.  Targeted metabolomics identifies reliable and stable metabolites in human serum and plasma samples.

Authors:  Michaela Breier; Simone Wahl; Cornelia Prehn; Marina Fugmann; Uta Ferrari; Michaela Weise; Friederike Banning; Jochen Seissler; Harald Grallert; Jerzy Adamski; Andreas Lechner
Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

9.  Biochemical phenotyping unravels novel metabolic abnormalities and potential biomarkers associated with treatment of GLUT1 deficiency with ketogenic diet.

Authors:  Gerarda Cappuccio; Michele Pinelli; Marianna Alagia; Taraka Donti; Debra-Lynn Day-Salvatore; Pierangelo Veggiotti; Valentina De Giorgis; Simona Lunghi; Maria Stella Vari; Pasquale Striano; Nicola Brunetti-Pierri; Adam D Kennedy; Sarah H Elsea
Journal:  PLoS One       Date:  2017-09-29       Impact factor: 3.240

10.  Integrated analysis of metabolomic profiling and exome data supplements sequence variant interpretation, classification, and diagnosis.

Authors:  Joseph T Alaimo; Kevin E Glinton; Ning Liu; Jing Xiao; Yaping Yang; V Reid Sutton; Sarah H Elsea
Journal:  Genet Med       Date:  2020-05-22       Impact factor: 8.822

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  3 in total

1.  A Comprehensive Metabolomics Analysis of Fecal Samples from Advanced Adenoma and Colorectal Cancer Patients.

Authors:  Oiana Telleria; Oihane E Alboniga; Marc Clos-Garcia; Beatriz Nafría-Jimenez; Joaquin Cubiella; Luis Bujanda; Juan Manuel Falcón-Pérez
Journal:  Metabolites       Date:  2022-06-15

2.  Effect of serum sample storage temperature on metabolomic and proteomic biomarkers.

Authors:  Erkka Valo; Marco Colombo; Niina Sandholm; Stuart J McGurnaghan; Luke A K Blackbourn; David B Dunger; Paul M McKeigue; Carol Forsblom; Per-Henrik Groop; Helen M Colhoun; Charles Turner; R Neil Dalton
Journal:  Sci Rep       Date:  2022-03-17       Impact factor: 4.379

Review 3.  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.

Authors:  Rainer Lehmann
Journal:  Anal Bioanal Chem       Date:  2021-06-22       Impact factor: 4.142

  3 in total

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