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Current Metabolomics
ISSN (Print): 2213-235X
ISSN (Online): 2213-2368
Epub Abstract Ahead of Print
DOI: 10.2174/2213235X02666140115214427      Price:  $95









KEMREP: A New Qualitative Method for the Assessment of an Analyst’s Ability to Generate a Metabolomics Data Matrix by Gas Chromatography–Mass Spectrometry

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Author(s): Shayne Mason, Gontse P. Moutloatse, A. Marceline van Furth, Regan Solomons, Mari van Reenen, Carolus Reinecke and Gerhard Koekemoer
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Abstract:
The analytical procedures required to generate a quantified metabolomics data matrix include many and widely different potential sources of error, complicating the generation of reliable data. The methods generally used to assess the precision of such dataall have distinct merits but some clear limitations as well. In this paper we describe KEMREP (kernelmethod for the assessment of repeatability and reproducibility),a new methodwith the advantage and focus aimed specifically at a qualitative assessment of the precision by which analysts generate a metabolomics data matrix. Repeatability and reproducibility were assessed on gas chromatography–mass spectrometry (GC-MS)-generated metabolomics data matrices produced by and between analysts and across laboratories, using cerebrospinal fluid (CSF) and urine as biological samples for analysis. KEMREP provides a visual overlay of the smoothed and scaled versions of the data from repeated samples for a direct and easy qualitative assessment of repeatability or reproducibility of a distinct chromatographic region (univariate dimension) or for the experiment as a whole(multivariate dimension). The KEMREP method can also be extended by the imposition of confidence bounds which provide lower and upper limits thatindicate quantitatively whether the experiment was repeatable or reproducible at a predefined input coefficient of variation (CV). KEMREP is thus a novel approach which supplements existing methods of assessment of reliability of metabolomics data; provides a benchmark for assessing the quality of practical work performed by analysts; monitors the sequence of data pre-treatment steps; and tests the robustness of an experimentally designed protocol for metabolomics.
Affiliation:
Centre for Human Metabonomics, Faculty of Natural Sciences, Private Bag X2006, North-West University (Potchefstroom Campus), South Africa.