Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.7
4.1
Journals
Metabolites
Special Issues
Metabolomics Analysis of Natural Products
share announcement

Metabolomics Analysis of Natural Products

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 10522

Special Issue Editors

Dr. Alba Rodríguez-Nogales

E-Mail Website
Guest Editor
Department of Pharmacology, Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
Interests: antioxidant; immune response; inflammation; microbiota; polyphenols; prebiotics; probiotics
Special Issues, Collections and Topics in MDPI journals
Dr. María Elena Rodríguez Cabezas

E-Mail Website
Guest Editor
Department of Pharmacology, Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
Interests: antioxidant; intestinal inflammation; microbiota; natural compounds; postbiotics; prebiotics; probiotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Many natural products, such as prebiotics, probiotics or polyphenols, show biological activities with a beneficial impact on human health, thus being an important source for the development of novel drugs. These products can affect gut microbiota metabolism, promoting the production and release of complex series of end products that can modulate human metabolism and health. However, there is currently a limited understanding of microbiome–natural product interactions and the metabolites produced. In this regard, metabolomics has become an essential tool to evaluate the detailed mechanisms involved in the effects exerted by these products on microbiome, and the subsequent consequences on human health and disease. Metabolomics is a well-established approach for exploring novel biomarkers of disease diagnosis and prognosis. Therefore, this Special Issue of Metabolites, “Metabolomics Analysis of Natural Products”, welcomes the submission of manuscripts either describing original research or reviewing the new advances and challenges applied on natural-product-derived metabolites and microbiome crosstalk. Specific areas include but are not limited to the identification of novel metabolites with biological and/or clinical relevance, visualization practices, metabolite annotation, methods for integrative analysis of microbiome, and natural-product-derived metabolite data and multi-omic approaches to find new molecular prognostic and diagnostic biomarkers. Finally, we also invite manuscripts with innovative and integrative technologies for the discovery and validation of biomarkers. 

The Special Issue is open for submission now. A proper extension may be granted. Please kindly let us know in advance. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website.

Dr. Alba Rodríguez-Nogales
Dr. Maria Elena Rodriguez-Cabezas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Probiotics
  • Prebiotics
  • Polyphenols
  • Microbiome
  • Metabolome
  • Biomarkers

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 618 KiB  
Article
Pharmacokinetic, Metabolomic, and Stability Assessment of Ganoderic Acid H Based Triterpenoid Enriched Fraction of Ganoderma lucidum P. Karst
by Mohd Hafizur Rehman Ansari, Washim Khan, Rabea Parveen, Sadia Saher and Sayeed Ahmad
Metabolites 2022, 12(2), 97; https://doi.org/10.3390/metabo12020097 - 21 Jan 2022
Cited by 6 | Viewed by 3016
Abstract
Ganoderma lucidum P. karst is an edible fungus that is used in traditional medicine and contains triterpenoids as the major phytoconstituents. Ganoderic acids are the most abundant triterpenoids that showed pharmacological activity. As Indian varieties contain ganoderic acid H (GA-H), we aimed to [...] Read more.
Ganoderma lucidum P. karst is an edible fungus that is used in traditional medicine and contains triterpenoids as the major phytoconstituents. Ganoderic acids are the most abundant triterpenoids that showed pharmacological activity. As Indian varieties contain ganoderic acid H (GA-H), we aimed to prepare GA-H-based triterpenoid enriched fraction (TEF) and evaluated its pharmacokinetics, metabolomics, and stability analysis. A high-performance liquid chromatography (HPLC) method was developed to quantify GA-H in TEF and rat plasma. Based on GA-H content, a stability assessment and pharmacokinetic study of TEF were also performed. After its oral administration to rats, TEF’s the metabolic pattern recognition was performed through ultra-performance liquid chromatography mass spectroscopy (UPLC–MS). The developed HPLC method was found to be simple, sensitive, precise (<15%), and accurate (>90% recovery) for the quantification of GA-H. Pharmacokinetic analysis showed that GA-H reached its maximum plasma concentration (Cmax 2509.9 ng/mL) within two hours and sustained quantifiable amount up to 12 h with a low elimination rate (Kel) 0.05 L/h. TEF contained ten bioavailable constituents. The prepared TEF was found to be stable for up to one year at room temperature. The prepared TEF, enriched with ganoderic acid, is stable, contains bioavailable constituents, and can be explored as phytopharmaceuticals for different pharmacological properties. Highlights: (1). Preparation of triterpenoid enriched fraction (TEF) from Ganoderma lucidum. (2). Major triterpenoid in TEF is ganoderic acid H (GA-H). (3). TEF contains several bioavailable phytoconstituents. (4). TEF (considering only GA-H) is stable for up to one year at room temperature. (5). GA-H is rapidly absorbed and has high systemic exposure. Full article
(This article belongs to the Special Issue Metabolomics Analysis of Natural Products)
►▼ Show Figures

Graphical abstract

21 pages, 3064 KiB  
Article
Chemical Composition of the Red Sea Green Algae Ulva lactuca: Isolation and In Silico Studies of New Anti-COVID-19 Ceramides
by Enas E. Eltamany, Sameh S. Elhady, Marwa S. Goda, Omar M. Aly, Eman S. Habib, Amany K. Ibrahim, Hashim A. Hassanean, Usama Ramadan Abdelmohsen, Martin K. Safo and Safwat A. Ahmed
Metabolites 2021, 11(12), 816; https://doi.org/10.3390/metabo11120816 - 29 Nov 2021
Cited by 7 | Viewed by 2921
Abstract
Coronavirus disease 2019 (COVID-19) is the disease caused by the virus SARS-CoV-2 responsible for the ongoing pandemic which has claimed the lives of millions of people. This has prompted the scientific research community to act to find treatments against the SARS-CoV-2 virus that [...] Read more.
Coronavirus disease 2019 (COVID-19) is the disease caused by the virus SARS-CoV-2 responsible for the ongoing pandemic which has claimed the lives of millions of people. This has prompted the scientific research community to act to find treatments against the SARS-CoV-2 virus that include safe antiviral medicinal compounds. The edible green algae U. lactuca. is known to exhibit diverse biological activities such as anti-influenza virus, anti-Japanese encephalitis virus, immunomodulatory, anticoagulant, antioxidant and antibacterial activities. Herein, four new ceramides in addition to two known ones were isolated from Ulva lactuca. The isolated ceramides, including Cer-1, Cer-2, Cer-3, Cer-4, Cer-5 and Cer-6 showed promising antiviral activity against SARS-CoV-2 when investigated using in silico approaches by preventing its attachment to human cells and/or inhibiting its viral replication. Cer-4 and Cer-5 were the most effective in inhibiting the human angiotensin converting enzyme (hACE)–spike protein complex which is essential for the virus to enter the human host. In addition to this, Cer-4 also showed an inhibition of the SARS-CoV-2 protease (Mpro) that is responsible for its viral replication and transcription. In this study, we also used liquid chromatography coupled to electrospray ionization high-resolution mass spectroscopy (LC-ESI-HRMS) to identify several metabolites of U. lactuca, including metabolites such as fatty acids, their glyceride derivatives, terpenoids, sterols and oxysterols from the organic extract. Some of these metabolites also possessed promising antiviral activity, as previously reported. Full article
(This article belongs to the Special Issue Metabolomics Analysis of Natural Products)
►▼ Show Figures

Graphical abstract

18 pages, 4175 KiB  
Article
Dereplication, Annotation, and Characterization of 74 Potential Antimicrobial Metabolites from Penicillium Sclerotiorum Using t-SNE Molecular Networks
by Téo Hebra, Nicolas Elie, Salomé Poyer, Elsa Van Elslande, David Touboul and Véronique Eparvier
Metabolites 2021, 11(7), 444; https://doi.org/10.3390/metabo11070444 - 8 Jul 2021
Cited by 18 | Viewed by 3764
Abstract
Microorganisms associated with termites are an original resource for identifying new chemical scaffolds or active metabolites. A molecular network was generated from a collection of strain extracts analyzed by liquid chromatography coupled to tandem high-resolution mass spectrometry, a molecular network was generated, and [...] Read more.
Microorganisms associated with termites are an original resource for identifying new chemical scaffolds or active metabolites. A molecular network was generated from a collection of strain extracts analyzed by liquid chromatography coupled to tandem high-resolution mass spectrometry, a molecular network was generated, and activities against the human pathogens methicillin-resistant Staphylococcus aureus, Candida albicans and Trichophyton rubrum were mapped, leading to the selection of a single active extract of Penicillium sclerotiorum SNB-CN111. This fungal species is known to produce azaphilones, a colorful family of polyketides with a wide range of biological activities and economic interests in the food industry. By exploring the molecular network data, it was shown that the chemical diversity related to the P. sclerotiorum metabolome largely exceeded the data already reported in the literature. According to the described fragmentation pathways of protonated azaphilones, the annotation of 74 azaphilones was proposed, including 49 never isolated or synthesized thus far. Our hypothesis was validated by the isolation and characterization of eight azaphilones, among which three new azaphilones were chlorogeumasnol (63), peniazaphilone E (74) and 7-deacetylisochromophilone VI (80). Full article
(This article belongs to the Special Issue Metabolomics Analysis of Natural Products)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop