Evaluation of a protocol for metabolic profiling studies on human blood plasma by combined ultra-performance liquid chromatography/mass spectrometry: From extraction to data analysisShow others and affiliations
2009 (English)In: Analytical Biochemistry, ISSN 0003-2697, E-ISSN 1096-0309, Vol. 372, no 2, p. 237-249Article in journal (Refereed) Published
Abstract [en]
The investigation presented here describes a protocol designed to perform high-throughput metabolic profiling analysis on human blood plasma by ultra-performance liquid chromatography/mass spectrometry (UPLC/MS). To address whether a previous extraction protocol for gas chromatography (GC)/MS-based metabolic profiling of plasma could be used for UPLC/MS-based analysis, the original protocol was compared with similar methods for extraction of low-molecular-weight compounds from plasma via protein precipitation. Differences between extraction methods could be observed, but the previously published extraction method was considered the best. UPLC columns with three different stationary phases (C8, C18, and phenyl) were used in identical experimental runs consisting of a total of 60 injections of extracted male and female plasma samples. The C8 column was determined to be the best for metabolic profiling analysis on plasma. The acquired UPLC/MS data of extracted male and female plasma samples was subjected to principal component analysis (PCA) and orthogonal projections to latent structures discriminant analysis (OPLS–DA). Furthermore, a strategy for compound identification was applied here, demonstrating the strength of high-mass-accuracy time-of-flight (TOF)/MS analysis in metabolic profiling.
Place, publisher, year, edition, pages
Elsevier, 2009. Vol. 372, no 2, p. 237-249
Keywords [en]
Metabonomics, Metabolic profiling, Metabolomics, UPLC, Mass spectrometry, LC/MS, Plasma, Protein precipitation
National Category
Biochemistry and Molecular Biology Analytical Chemistry
Identifiers
URN: urn:nbn:se:umu:diva-5784DOI: 10.1016/j.ab.2007.09.037PubMedID: 17964273OAI: oai:DiVA.org:umu-5784DiVA, id: diva2:145452
2007-11-302007-11-302018-06-09