LC-MS/MS Based Metabolomics to Identify Biomarkers Unique to Laetiporus sulphureus

Zewdu, Ashagrie

doi:10.11648/j.ijnfs.20150402.14

Cited by 8 publications

(6 citation statements)

References 34 publications

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“…Metabolomics approaches by means of mass spectrometry (MS) have been gaining interest not only for analysis of plants, but also for mushrooms [14,15]. Gas chromatography-mass spectrometry (GC/MS) is a platform which is frequently used in metabolomic studies for the analysis of primary metabolites, whereas liquid chromatography-mass spectrometry (LC/MS) is commonly used for the analysis of secondary metabolites [16].…”

Section: Introductionmentioning

confidence: 99%

Mass Spectrometry-Based Untargeted Metabolomics and α-Glucosidase Inhibitory Activity of Lingzhi (Ganoderma lingzhi) During the Developmental Stages

et al. 2019

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Lingzhi is a Ganoderma mushroom species which has a wide range of bioactivities. Analysis of the changes in metabolites during the developmental stages of lingzhi is important to understand the underlying mechanism of its biosynthesis, as well as its bioactivity. It may also provide valuable information for the cultivation efficiency of lingzhi. In this study, mass spectrometry based untargeted metabolomics was carried out to analyze the alteration of metabolites during developmental stages of lingzhi. Eight developmental stages were categorized on the basis of morphological changes; starting from mycelium stage to post-mature stage. GC/MS and LC/MS analyses along with multivariate analysis of lingzhi developmental stages were performed. Amino acids, organic acids, sugars, polyols, fatty acids, fatty alcohols, and some small polar metabolites were extracted as marker metabolites from GC/MS analysis, while, lanostane-type triterpenoids were observed in LC/MS analysis of lingzhi. The marker metabolites from untargeted analysis of lingzhi developmental stages were correlated with the α-glucosidase inhibitory activity. Two metabolites, compounds 34 and 35, were identified as potential contributors of the α-glucosidase inhibitory activity. The current result shows that some metabolites are involved in the developmental process and α-glucosidase inhibitory activity of lingzhi.

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Section: Introductionmentioning

confidence: 99%

Mass Spectrometry-Based Untargeted Metabolomics and α-Glucosidase Inhibitory Activity of Lingzhi (Ganoderma lingzhi) During the Developmental Stages

et al. 2019

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“…The metabolome of L. sulphureus was compared with that of seven edible fungi, including P. ostreatus, to identify biomarkers that could be related to the production of metabolites of industrial interest. Woldegiorgis et al 2015…”

Section: Joh Et Al 2007mentioning

confidence: 99%

Omic tools to study enzyme production from fungi in the Pleurotus genus

Téllez‐Téllez

Díaz‐Godínez

2019

BioRes

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Fungi from the Pleurotus genus secrete different enzymes, including laccases, manganese peroxidases, versatile peroxidases, glycosyl hydrolases, peptidases, and esterases/lipases. This genus contains white-rot fungi, which degrade the components of plant materials. The secreted enzymes have great application in the biotechnology field. The general conditions of a fungal culture have a direct effect on the regulation of protein expression, which changes the composition of the transcriptome, proteome, and secretome. Studies have shown that the culture type, either solid or submerged, also changes the transcriptional profiles. The knowledge of the transcriptome and proteome allows one to find valuable enzymes to obtain portable fuels from lignocellulosic materials and provide information oriented to improve the enzymes production through different culture conditions. Additionally, research has been conducted on the Pleurotus genus to better understand its biology. Numerous tools have been used for this purpose, such as classical recombination, genetic engineering, and omic tools. The information generated by the omic sciences (comparative genomics, transcriptomics, proteomics, and metabolomics) and through bioinformatics (massive data analysis), among other things, can greatly contribute to improving production processes and the use of metabolites. This review discussed some works where omic tools have been used to study enzyme production of fungi of the Pleurotus genus.

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“…Organic acids, sugars/sugar alcohols and amino acids were depicted to be the three main metabolite families. Woldegiorgis et al (2015) reported the use of LC/MS/MS equipped with a QTOF mass analyzer for the comparative metabolite profiling of seven edible mushroom varieties including P. ostreatus, A. campestris, L. edodes, L. sulphureus, T. microcarpus T. clypeatusand T. letestui, and identified biomarkers relevant to L. sulphureus. 18 α-Glycyrrhetinic acid was revealed to be one of the potential metabolites which might be responsible for the biological/pharmacological claim of understudy mashrooms by the local people.…”

Section: Analytical Tools For Metabolite Profilingmentioning

confidence: 99%

An overview of recent developments in metabolomics and proteomics – phytotherapic research perspectives

Mumtaz

Hamid

Akhtar

et al. 2017

Frontiers in Life Science

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In recent years, medicinal plants have gained much attention as potential source of bioactives for the development of novel herbal drugs for primary healthcare. However, phytotherapeutic mechanisms of action of phytomedicines need to be explored comprehensively. Out of the available strategies for the said purpose, metabolomics is one, which results in the production of inclusive metabolite profiles providing a clear understanding of diagnostic changes in the levels of metabolites, leading to therapeutic monitoring of drug targets through the elucidation of metabolomic pathways. On the other hand, proteomics is also a powerful strategy to deal with systematic protein expression analysis and analyze different biomarkers compared to metabolomics during drug treatment. Currently, 1 H nuclear magnetic resonance spectroscopy, mass spectrometry (MS), Fourier transform infrared spectroscopy, gas chromatography equipped with mass spectrometry, liquid chromatography coupled with MS and ultra-performance liquid chromatography-MS coupled with multivariate statistical techniques, such as principle component analysis, partial least square and orthogonalpartial least square are among the widely applicable analytical tools for metabolite profiling, whereas two-dimensional electrophoresis and matrix-assisted laser desorption ionization time-of-flight-MS are the most accepted analytical methods for proteomic biomarker investigation. The present review summarizes the recent developments and perspectives of the biomarker investigation strategies so as to elaborate their imperative role for sustainable herbal drug developments.

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LC-MS/MS Based Metabolomics to Identify Biomarkers Unique to Laetiporus sulphureus

Cited by 8 publications

References 34 publications

Mass Spectrometry-Based Untargeted Metabolomics and α-Glucosidase Inhibitory Activity of Lingzhi (Ganoderma lingzhi) During the Developmental Stages

Mass Spectrometry-Based Untargeted Metabolomics and α-Glucosidase Inhibitory Activity of Lingzhi (Ganoderma lingzhi) During the Developmental Stages

Omic tools to study enzyme production from fungi in the Pleurotus genus

An overview of recent developments in metabolomics and proteomics – phytotherapic research perspectives

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