scholarly journals Biological Variability Dominates and Influences Analytical Variance in HPLC‐ECD Studies of the Human Plasma Metabolome

2006 ◽  
Vol 20 (4) ◽  
Author(s):  
Bruce S. Kristal ◽  
Yevgeniya I. Shurubor ◽  
Wayne R Matson ◽  
Walter C Willett ◽  
Susan E. Hankinson
2007 ◽  
Vol 7 (1) ◽  
Author(s):  
Yevgeniya I Shurubor ◽  
Wayne R Matson ◽  
Walter C Willett ◽  
Susan E Hankinson ◽  
Bruce S Kristal

PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0173615 ◽  
Author(s):  
Séverine Trabado ◽  
Abdallah Al-Salameh ◽  
Vincent Croixmarie ◽  
Perrine Masson ◽  
Emmanuelle Corruble ◽  
...  

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A5-A5
Author(s):  
C M Depner ◽  
R R Markwald ◽  
C Cruickshank-Quinn ◽  
K Quinn ◽  
E L Melanson ◽  
...  

2014 ◽  
Vol 60 (2) ◽  
pp. 399-412 ◽  
Author(s):  
Beate Kamlage ◽  
Sandra González Maldonado ◽  
Bianca Bethan ◽  
Erik Peter ◽  
Oliver Schmitz ◽  
...  

Abstract BACKGROUND Metabolomics is a valuable tool with applications in almost all life science areas. There is an increasing awareness of the essential need for high-quality biospecimens in studies applying omics technologies and biomarker research. Tools to detect effects of both blood and plasma processing are a key for assuring reproducible and credible results. We report on the response of the human plasma metabolome to common preanalytical variations in a comprehensive metabolomics analysis to reveal such high-quality markers. METHODS Human EDTA blood was subjected to preanalytical variations while being processed to plasma: microclotting, prolonged processing times at different temperatures, hemolysis, and contamination with buffy layer. In a second experiment, EDTA plasma was incubated at different temperatures for up to 16 h. Samples were subjected to GC-MS and liquid chromatography–tandem mass spectrometry–based metabolite profiling (MxP™ Broad Profiling) complemented by targeted methods, i.e., sphingoids (as part of MxP™ Lipids), MxP™ Catecholamines, and MxP™ Eicosanoids. RESULTS Short-term storage of blood, hemolysis, and short-term storage of noncooled plasma resulted in statistically significant increases of 4% to 19% and decreases of 8% to 12% of the metabolites. Microclotting, contamination of plasma with buffy layer, and short-term storage of cooled plasma were of less impact on the metabolome (0% to 11% of metabolites increased, 0% to 8% decreased). CONCLUSIONS The response of the human plasma metabolome to preanalytical variation demands implementation of thorough quality assurance and QC measures to obtain reproducible and credible results from metabolomics studies. Metabolites identified as sensitive to preanalytics can be used to control for sample quality.


2013 ◽  
Vol 122 ◽  
pp. 25-31 ◽  
Author(s):  
Lauren N. Bell ◽  
Jennifer M. Kilkus ◽  
John N. Booth ◽  
Lindsay E. Bromley ◽  
Jacqueline G. Imperial ◽  
...  

2008 ◽  
Vol 9 (4) ◽  
pp. 383-397 ◽  
Author(s):  
Kay A Lawton ◽  
Alvin Berger ◽  
Matthew Mitchell ◽  
K Eric Milgram ◽  
Anne M Evans ◽  
...  

Metabolomics ◽  
2014 ◽  
Vol 11 (1) ◽  
pp. 27-39 ◽  
Author(s):  
Daniela Rago ◽  
Gözde Gürdeniz ◽  
Gitte Ravn-Haren ◽  
Lars Ove Dragsted

2016 ◽  
Vol 908 ◽  
pp. 121-131 ◽  
Author(s):  
Masoumeh Karimpour ◽  
Izabella Surowiec ◽  
Junfang Wu ◽  
Sandra Gouveia-Figueira ◽  
Rui Pinto ◽  
...  

Metabolites ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 99 ◽  
Author(s):  
Antje Wagner-Golbs ◽  
Sebastian Neuber ◽  
Beate Kamlage ◽  
Nicole Christiansen ◽  
Bianca Bethan ◽  
...  

High-quality biological samples are required for the favorable outcome of research studies, and valid data sets are crucial for successful biomarker identification. Prolonged storage of biospecimens may have an artificial effect on compound levels. In order to investigate the potential effects of long-term storage on the metabolome, human ethylenediaminetetraacetic acid (EDTA) plasma samples stored for up to 16 years were analyzed by gas and liquid chromatography-tandem mass spectrometry-based metabolomics. Only 2% of 231 tested plasma metabolites were altered in the first seven years of storage. However, upon longer storage periods of up to 16 years and more time differences of few years significantly affected up to 26% of the investigated metabolites when analyzed within subject age groups. Ontology classes that were most affected included complex lipids, fatty acids, energy metabolism molecules, and amino acids. In conclusion, the human plasma metabolome is adequately stable to long-term storage at −80 °C for up to seven years but significant changes occur upon longer storage. However, other biospecimens may display different sensitivities to long-term storage. Therefore, in retrospective studies on EDTA plasma samples, analysis is best performed within the first seven years of storage.


2012 ◽  
Vol 8 (4) ◽  
pp. 1187 ◽  
Author(s):  
Elin Chorell ◽  
Michael B. Svensson ◽  
Thomas Moritz ◽  
Henrik Antti

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