176 research outputs found
Probing the polar metabolome by UHPLC-MS
Metabolomics is an interdisciplinary field with applications in many areas. Analytes include metabolites involved in pathways such as glycolysis, amino acid metabolism, the Krebs cycle, etc. However, the metabolites involved in these biosynthetic pathways are typically highly polar molecules, which represent a major challenge for chromatographic analysis. Whilst there have been significant efforts to address the difficulties involved in the determination of polar metabolites the comprehensive profiling of the polar metabolome remains problematic. The current review summarizes current approaches, advances and trends in the use of liquid chromatography/mass spectrometry as it attempts to address the major instrumental and intellectual challenges involved in mapping the polar metabolome
Untargeted UPLC-MS Profiling Pipeline to Expand Tissue Metabolome Coverage: Application to Cardiovascular Disease.
Metabolic
profiling studies aim to achieve broad metabolome coverage
in specific biological samples. However, wide metabolome coverage
has proven difficult to achieve, mostly because of the diverse physicochemical
properties of small molecules, obligating analysts to seek multiplatform
and multimethod approaches. Challenges are even greater when it comes
to applications to tissue samples, where tissue lysis and metabolite
extraction can induce significant systematic variation in composition.
We have developed a pipeline for obtaining the aqueous and organic
compounds from diseased arterial tissue using two consecutive extractions,
followed by a different untargeted UPLC-MS analysis method for each
extract. Methods were rationally chosen and optimized to address the
different physicochemical properties of each extract: hydrophilic
interaction liquid chromatography (HILIC) for the aqueous extract
and reversed-phase chromatography for the organic. This pipeline can
be generic for tissue analysis as demonstrated by applications to
different tissue types. The experimental setup and fast turnaround
time of the two methods contributed toward obtaining highly reproducible
features with exceptional chromatographic performance (CV % < 0.5%),
making this pipeline suitable for metabolic profiling applications.
We structurally assigned 226 metabolites from a range of chemical
classes (e.g., carnitines, Ī±-amino acids, purines, pyrimidines,
phospholipids, sphingolipids, free fatty acids, and glycerolipids)
which were mapped to their corresponding pathways, biological functions
and known disease mechanisms. The combination of the two untargeted
UPLC-MS methods showed high metabolite complementarity. We demonstrate
the application of this pipeline to cardiovascular disease, where
we show that the analyzed diseased groups (<i>n </i>= 120)
of arterial tissue could be distinguished based on their metabolic
profiles
Cross-Platform Comparison of Caenorhabditis elegans Tissue Extraction Strategies for Comprehensive Metabolome Coverage
Metabolomics with LC-QTOF-MS Permits the Prediction of Disease Stage in Aortic Abdominal Aneurysm Based on Plasma Metabolic Fingerprint
Abdominal aortic aneurysm (AAA) is a permanent and localized aortic dilation, defined as aortic diameter ā„3 cm. It is an asymptomatic but potentially fatal condition because progressive enlargement of the abdominal aorta is spontaneously evolving towards rupture
Site and Strain-Specific Variation in Gut Microbiota Profiles and Metabolism in Experimental Mice
The gastrointestinal tract microbiota (GTM) of mammals is a complex microbial consortium, the composition and activities of which influences mucosal development, immunity, nutrition and drug metabolism. It remains unclear whether the composition of the dominant GTM is conserved within animals of the same strain and whether stable GTMs are selected for by host-specific factors or dictated by environmental variables.The GTM composition of six highly inbred, genetically distinct strains of mouse (C3H, C57, GFEC, CD1, CBA nu/nu and SCID) was profiled using eubacterial -specific PCR-DGGE and quantitative PCR of feces. Animals exhibited strain-specific fecal eubacterial profiles that were highly stable (c. >95% concordance over 26 months for C57). Analyses of mice that had been relocated before and after maturity indicated marked, reproducible changes in fecal consortia and that occurred only in young animals. Implantation of a female BDF1 mouse with genetically distinct (C57 and Agoutie) embryos produced highly similar GTM profiles (c. 95% concordance) between mother and offspring, regardless of offspring strain, which was also reflected in urinary metabolite profiles. Marked institution-specific GTM profiles were apparent in C3H mice raised in two different research institutions.Strain-specific data were suggestive of genetic determination of the composition and activities of intestinal symbiotic consortia. However, relocation studies and uterine implantation demonstrated the dominance of environmental influences on the GTM. This was manifested in large variations between isogenic adult mice reared in different research institutions
The Role of Host Genetics in Susceptibility to Influenza: A Systematic Review
Background: The World Health Organization has identified studies of the role of host genetics on susceptibility to severe influenza as a priority. A systematic review was conducted to summarize the current state of evidence on the role of host genetics in susceptibility to influenza (PROSPERO registration number: CRD42011001380). Methods and Findings: PubMed, Web of Science, the Cochrane Library, and OpenSIGLE were searched using a pre-defined strategy for all entries up to the date of the search. Two reviewers independently screened the title and abstract of 1,371 unique articles, and 72 full text publications were selected for inclusion. Mouse models clearly demonstrate that host genetics plays a critical role in susceptibility to a range of human and avian influenza viruses. The Mx genes encoding interferon inducible proteins are the best studied but their relevance to susceptibility in humans is unknown. Although the MxA gene should be considered a candidate gene for further study in humans, over 100 other candidate genes have been proposed. There are however no data associating any of these candidate genes to susceptibility in humans, with the only published study in humans being under-powered. One genealogy study presents moderate evidence of a heritable component to the risk of influenza-associated death, and while the marked familial aggregation of H5N1 cases is suggestive of host genetic factors, this remains unproven. Conclusion: The fundamental question āāIs susceptibility to severe influenza in humans heritable?ā ā remains unanswered. No
Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research
Mass spectrometry (MS) techniques, because of their sensitivity and selectivity, have become methods of choice to characterize the human metabolome and MS-based metabolomics is increasingly used to characterize the complex metabolic effects of nutrients or foods. However progress is still hampered by many unsolved problems and most notably the lack of well established and standardized methods or procedures, and the difficulties still met in the identification of the metabolites influenced by a given nutritional intervention. The purpose of this paper is to review the main obstacles limiting progress and to make recommendations to overcome them. Propositions are made to improve the mode of collection and preparation of biological samples, the coverage and quality of mass spectrometry analyses, the extraction and exploitation of the raw data, the identification of the metabolites and the biological interpretation of the results
A modified data normalization method for GC-MS-based metabolomics to minimize batch variation
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