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LC-MS-Based Global Metabolic Profiles of Alternative Blood Specimens Collected by Microsampling
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DOI：10.3390/metabo15010062.png)
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Abstract
En 中文
Blood microsampling (B mu S) has recently emerged as an interesting approach in the analysis of endogenous metabolites but also in metabolomics applications. Their non-invasive way of use and the simplified logistics that they offer renders these technologies highly attractive in large-scale studies, especially the novel quantitative microsampling approaches such as VAMs or qDBS. Objectives: Herein, we investigate the potential of B mu S devices compared to the conventional plasma samples used in global untargeted mass spectrometry-based metabolomics of blood. Methods: Two novel quantitative devices, namely, Mitra, Capitainer, and the widely used Whatman cards, were selected for comparison with plasma. Venous blood was collected from 10 healthy, overnight-fasted individuals and loaded on the devices; plasma was also collected from the same venous blood. An extraction solvent optimization study was first performed on the three devices before the main study, which compared the global metabolic profiles of the four extracts (three B mu S devices and plasma). Analysis was conducted using reverse phase LC-TOF MS in positive mode. Results: B mu S devices, especially Mitra and Capitainer, provided equal or even superior information on the metabolic profiling of human blood based on the number and intensity of features and the precision and stability of some annotated metabolites compared to plasma. Despite their rich metabolic profiles, B mu S did not capture metabolites associated with biological differentiation of sexes. Conclusions: Overall, our results suggest that a more in-depth investigation of the acquired information is needed for each specific application, as a metabolite-dependent trend was obvious.
Keywords:
blood microsampling (B mu S)
dried blood spot (DBS)
quantitative dried blood spots (qDBS)
volumetric absorptive microsampling (VAM)
liquid chromatography-mass spectrometry (LC-MS)
metabolome
blood metabolites
global metabolic profile
untargeted metabolomics
blood metabolic phenotype
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