Development of a Standard Reference Material for Metabolomics Research

Karen W. Phinney, Guillaume Ballihaut, Mary Bedner, Brandi S. Benford, Johanna E. Camara, Steven J. Christopher, W. Clay Davis, Nathan G. Dodder, Gauthier Eppe, Brian E. Lang, Stephen E. Long, Mark S. Lowenthal (+38 others)
2013 Analytical Chemistry  
The National Institute of Standards and Technology (NIST), in collaboration with the National Institutes of Health (NIH), has developed a Standard Reference Material (SRM) to support technology development in metabolomics research. SRM 1950 Metabolites in Human Plasma is intended to have metabolite concentrations that are representative of those found in adult human plasma. The plasma used in the preparation of SRM 1950 was collected from both male and female donors, and donor ethnicity targets
more » ... were selected based upon the ethnic makeup of the U.S. population. Metabolomics research is diverse in terms of both instrumentation and scientific goals. This SRM was designed to apply broadly to the field, not toward specific applications. Therefore, concentrations of approximately 100 analytes, including amino acids, fatty acids, trace elements, vitamins, hormones, selenoproteins, clinical markers, and perfluorinated compounds (PFCs), were determined. Value assignment measurements were performed by NIST and the Centers for Disease Control and Prevention (CDC). SRM 1950 is the first reference material developed specifically for metabolomics research. Graphical abstract Metabolites are well-established indicators of human health, and measurement of specific metabolites has historically played a key role in disease diagnosis and risk assessment. 1 Fasting blood glucose levels are used to diagnose diabetes, 2,3 and serum creatinine levels are monitored in assessment of kidney function. 4,5 Individual metabolite markers tend to lack disease specificity, however, and results outside the normal range may only point to the need for further investigation rather than reflecting a clear cause and effect relationship. 6,7 For example, elevated cholesterol levels are associated with a number of disorders, including hypothyroidism, diabetes, and kidney dysfunction. Diseases such as diabetes 8 and Parkinson's disease 9,10 tend to affect multiple biochemical processes in the body, and measurement of a single biomarker is often insufficient for definitive diagnosis or for classification of patients into disease subtypes. Therefore, focusing on one or even a few metabolites at a time has limited diagnostic or prognostic value and provides little insight into disease etiology. 11, 12 Advances in technology have now made global profiling of hundreds or thousands of metabolites present in a given biological sample possible and thus have paved the way for Phinney et al.
doi:10.1021/ac402689t pmid:24187941 pmcid:PMC4823010 fatcat:37cavsb7nneg5izlfekfvg5bna