Review of recent developments in GC–MS approaches to metabolomics-based research

Beale, David J.; Pinu, Farhana R.; Kouremenos, Konstantinos A.; Poojary, Mahesha M.; Narayana, Vinod K.; Boughton, Berin A.; Kanojia, Komal; Dayalan, Saravanan; Jones, Oliver A.H.; Dias, Daniel A.

doi:10.1007/s11306-018-1449-2

Cited by 366 publications

(225 citation statements)

References 244 publications

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“…Here, the authors achieved considerable improvements over traditional spectra and retention index matching approaches by integrating multiple cheminformatics procedures including the use of quality controls to reduce mass spectra background noise and remove artifact peaks, principal component analysis for the selection of biologically relevant variables, EI-MS spectral search in databases, and both retention index filtering and predictions [180]. A further peculiarity of GC-MS is the lack of linearity with respect to quantitation across peaks, requiring quantitative analysis to be made on an analyte by analyte basis [181,182].…”

Section: Metabolomic Data Processing and Interpretationmentioning

confidence: 99%

Metabolomics in the Context of Plant Natural Products Research: From Sample Preparation to Metabolite Analysis

et al. 2020

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Plant-derived natural products have long been considered a valuable source of lead compounds for drug development. Natural extracts are usually composed of hundreds to thousands of metabolites, whereby the bioactivity of natural extracts can be represented by synergism between several metabolites. However, isolating every single compound from a natural extract is not always possible due to the complex chemistry and presence of most secondary metabolites at very low levels. Metabolomics has emerged in recent years as an indispensable tool for the analysis of thousands of metabolites from crude natural extracts, leading to a paradigm shift in natural products drug research. Analytical methods such as mass spectrometry (MS) and nuclear magnetic resonance (NMR) are used to comprehensively annotate the constituents of plant natural products for screening, drug discovery as well as for quality control purposes such as those required for phytomedicine. In this review, the current advancements in plant sample preparation, sample measurements, and data analysis are presented alongside a few case studies of the successful applications of these processes in plant natural product drug discovery.

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Section: Metabolomic Data Processing and Interpretationmentioning

confidence: 99%

Metabolomics in the Context of Plant Natural Products Research: From Sample Preparation to Metabolite Analysis

et al. 2020

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“…In this global nontargeted profiling, the perturbed biological issues are typically profiled and studied in term of circulating biomarkers and specific pathways (Mones et al, 2011;Hyungwon & Norman, 2011). Additionally, metabolism plays a powerful role for a gaining holistic understanding of various biological matrices by globally measuring small-molecule metabolite levels (Beale et al, 2018;Zampieri & Sauer, 2017). Thus, metabolomics offers a potential strategy for the development and improvement of a method to decipher the biological processes of TBI as well as to elucidate its pathological mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase

et al. 2020

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Background: Traumatic brain injury (TBI) has increased in rank among traumatic injuries worldwide. Traumatic brain injury is a serious obstacle given that its complex pathology represents a long-term process. Recently, systems biology strategies such as metabolomics to investigate the multifactorial nature of TBI have facilitated attempts to find biomarkers and probe molecular pathways for its diagnosis and therapy. Methods:This study included a group of 20 rats with controlled cortical impact and a group of 20 sham rats. We utilized mNSS tests to investigate neurological metabolic impairments on day 1 and day 3. Furthermore, we applied metabolomics and bioinformatics to determine the metabolic perturbation caused by TBI during the acute period in the hippocampus tissue of controlled cortical impact (CCI) rats. Notably, TBI-protein-metabolite subnetworks identified from a database were assessed for associations between metabolites and TBI by the dysregulation of related enzymes and transporters. Results:Our results identified 7 and 8 biomarkers on day 1 and day 3, respectively.Additionally, related pathway disorders showed effects on arginine and proline metabolism as well as taurine and hypotaurine metabolism on day 3 in acute TBI.Furthermore, according to metabolite-protein database searches, 25 metaboliteprotein pairs were established as causally associated with TBI. Further, bioinformation indicated that these TBI-associated proteins mainly take part in 5′-nucleotidase activity and carboxylic acid transmembrane transport. In addition, interweaved networks were constructed to show that the development of TBI might be affected by metabolite-related proteins and their protein pathways. Conclusion:The overall results show that acute TBI is susceptible to metabolic disorders, and the joint metabolite-protein network analysis provides a favorable prediction of TBI pathogenesis mechanisms in the brain. The signatures in the hippocampus might be promising for the development of biomarkers and pathways relevant to acute TBI and could further guide testable predictions of the underlying mechanism of TBI.

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“…GC-MS is a reasonably common technique in the metabolomics fields and has been extensively described in previous reviews. [121][122][123] This technique is used to separate volatilized chemicals which are resistant to thermal degradation. These are separated using an inert carrier gas, typically helium, which flows through a GC column.…”

Section: Liquid Chromatography-mass Spectrometry (Lc-ms) Lc-ms Is Thmentioning

confidence: 99%

The rise of the nanomaterial metabolite corona, and emergence of the complete corona

Chetwynd

Lynch

2020

Environ. Sci.: Nano

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Review of recent developments in GC–MS approaches to metabolomics-based research

Cited by 366 publications

References 244 publications

Metabolomics in the Context of Plant Natural Products Research: From Sample Preparation to Metabolite Analysis

Metabolomics in the Context of Plant Natural Products Research: From Sample Preparation to Metabolite Analysis

Metabolomics analysis of the hippocampus in a rat model of traumatic brain injury during the acute phase

The rise of the nanomaterial metabolite corona, and emergence of the complete corona

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