Searching for bioactive compounds from Solanaceae: lethal and sublethal toxicity to Spodoptera frugiperda and untargeted metabolomics approaches

Interlaboratory Coverage Test on Plant Food Bioactive Compounds and their Metabolites by Mass Spectrometry-Based Untargeted Metabolomics

Metabolites ◽

10.3390/metabo8030046 ◽

2018 ◽

Vol 8 (3) ◽

pp. 46 ◽

Cited By ~ 10

Author(s):

Ville Mikael Koistinen ◽

Andreia Bento da Silva ◽

László Abrankó ◽

Dorrain Low ◽

Rocio Garcia Villalba ◽

...

Keyword(s):

Mass Spectrometry ◽

Bioactive Compounds ◽

High Resolution Mass Spectrometry ◽

Chemical Space ◽

Untargeted Metabolomics ◽

Consensus Method ◽

Health State ◽

Plant Food ◽

Chemical Structures ◽

Successful Analysis

Bioactive compounds present in plant-based foods, and their metabolites derived from gut microbiota and endogenous metabolism, represent thousands of chemical structures of potential interest for human nutrition and health. State-of-the-art analytical methodologies, including untargeted metabolomics based on high-resolution mass spectrometry, are required for the profiling of these compounds in complex matrices, including plant food materials and biofluids. The aim of this project was to compare the analytical coverage of untargeted metabolomics methods independently developed and employed in various European platforms. In total, 56 chemical standards representing the most common classes of bioactive compounds spread over a wide chemical space were selected and analyzed by the participating platforms (n = 13) using their preferred untargeted method. The results were used to define analytical criteria for a successful analysis of plant food bioactives. Furthermore, they will serve as a basis for an optimized consensus method.

Download Full-text

Untargeted Metabolomics of Korean Fermented Brown Rice Using UHPLC Q-TOF MS/MS Reveal an Abundance of Potential Dietary Antioxidative and Stress-Reducing Compounds

Antioxidants ◽

10.3390/antiox10040626 ◽

2021 ◽

Vol 10 (4) ◽

pp. 626

Author(s):

Akanksha Tyagi ◽

Su-Jung Yeon ◽

Eric Banan-Mwine Daliri ◽

Xiuqin Chen ◽

Ramachandran Chelliah ◽

...

Keyword(s):

Bioactive Compounds ◽

High Performance ◽

Antioxidant Activities ◽

Brown Rice ◽

Dry Weight ◽

Untargeted Metabolomics ◽

Total Phenolic ◽

Germinated Brown Rice ◽

Antioxidant Power ◽

Flight Mass Spectrometry

Free radical-induced oxidative stress is the root cause of many diseases, such as diabetes, stress and cardiovascular diseases. The objective of this research was to screen GABA levels, antioxidant activities and bioactive compounds in brown rice. In this study, we first fermented brown rice with different lactic acid bacteria (LABs), and the best LAB was selected based on the levels of GABA in the fermentate. Lactobacillus reuterii generated the highest levels of GABA after fermentation. To ascertain whether germination can improve the GABA levels of brown rice, we compared the levels of GABA in raw brown rice (Raw), germinated brown rice (Germ), fermented brown rice (Ferm) and fermented-germinated brown rice (G+F) to identify the best approach. Then, antioxidant activities were investigated for Raw BR, Germ BR, Ferm BR and G+F BR. Antioxidant activity was calculated using a 2,2-diphenyl-1-picryl hydrazile radical assay, 2,2-azino-bis-(3-ethylene benzothiozoline-6-sulfonic acid) radical assay and ferric-reducing antioxidant power. In Ferm BR, DPPH (114.40 ± 0.66), ABTS (130.52 ± 0.97) and FRAP (111.16 ± 1.83) mg Trolox equivalent 100 g, dry weight (DW), were observed as the highest among all samples. Total phenolic content (97.13 ± 0.59) and total flavonoids contents (79.62 ± 1.33) mg GAE/100 g and catechin equivalent/100 g, DW, were also found to be highest in fermented BR. Furthermore, an untargeted metabolomics approach using ultra-high-performance liquid tandem chromatography quadrupole time of flight mass spectrometry revealed the abundance of bioactive compounds in fermented BR, such as GABA, tryptophan, coumaric acid, L-ascorbic acid, linoleic acid, β-carotenol, eugenol, 6-gingerol, etc., as well as bioactive peptides which could contribute to the health-promoting properties of L. reuterii fermented brown rice.

Download Full-text

Untargeted Metabolomics of Fermented Rice Using UHPLC Q-TOF MS/MS Reveals an Abundance of Potential Antihypertensive Compounds

Foods ◽

10.3390/foods9081007 ◽

2020 ◽

Vol 9 (8) ◽

pp. 1007 ◽

Cited By ~ 1

Author(s):

Eric Banan-Mwine Daliri ◽

Fred Kwame Ofosu ◽

Ramachandran Chelliah ◽

Joong-Hark Kim ◽

Jong-Rae Kim ◽

...

Keyword(s):

Bioactive Compounds ◽

Enterococcus Faecium ◽

High Performance ◽

Ace Inhibition ◽

Untargeted Metabolomics ◽

Enzyme Treatment ◽

Inhibitory Ability ◽

Flight Mass Spectrometry ◽

Dpp Iv ◽

Ace Inhibitory

Enzyme treatment and fermentation of cereals are known processes that enhance the release of bound bioactive compounds to make them available for bioactivity. In this study, we tested the angiotensin converting enzyme (ACE) inhibitory ability of destarched rice, Prozyme 2000p treated destarched rice (DP), and fermented DP samples. Prozyme 2000p treatment increased the ACE inhibitory ability from 15 ± 5% to 45 ± 3%. Fermentation of the Prozyme 2000p treated samples with Enterococcus faecium EBD1 significantly increased the ACE inhibitory ability to 75 ± 5%, while captopril showed an ACE inhibition of 92 ± 4%. An untargeted metabolomics approach using Ultra-high-performance liquid tandem chromatography quadrupole time of flight mass spectrometry revealed the abundance of vitamins, phenolic compounds, antioxidant peptides, DPP IV inhibitory peptides, and antihypertensive peptides in the fermented samples which may account for its strong ACE inhibition. Although fermented DP had decreased fatty acid levels, the amount of essential amino acid improved drastically compared to destarched rice. Our results show that fermenting Prozyme-treated destarched rice with Enterococcus faecium EBD1 generates abundant bioactive compounds necessary for developing antihypertensive functional foods.

Download Full-text

New Discovery of Covid-19 Natural-Based Antivirus Herbal Supplement Products from Pinang Yaki (Areca vestiaria) Extract by Untargeted Metabolomic Profiling

F1000Research ◽

10.12688/f1000research.73758.1 ◽

2021 ◽

Vol 10 ◽

pp. 1021

Author(s):

Herny Emma Inonta Simbala ◽

Fahrul Nurkolis ◽

Nelly Mayulu ◽

Linda Wilhelma Ancella Rotty

Keyword(s):

Bioactive Compounds ◽

Cinnamic Acid ◽

Untargeted Metabolomics ◽

Herbal Supplement ◽

North Sulawesi ◽

Metabolomic Profiling ◽

Potential Benefits ◽

Insight Into ◽

Metabolomics Analysis ◽

New Discovery

Background: Pinang yaki has bioactive compounds that have potential as a new herbal supplement. A better understanding of the bioactive compounds of pinang yaki using untargeted metabolomic profiling studies will provide clearer insight into the health benefits of pinang yaki and in particular its potential for the therapy and prevention of Covid-19. Methods: Fresh samples of pinang yaki (Areca vestiaria) are obtained from forests in North Sulawesi Province, Indonesia. Samples were used for untargeted metabolomics analysis by UPLC-MS. Results: Based on an untargeted metabolomic profiling study of pinang yaki, 2504 compounds in ESI- and 2645 compounds in ESI+ were successfully obtained. After the analysis, 356 compounds in ESI- and 543 compounds in ESI+ were identified successfully. Major compounds Alpha-Chlorohydrin (PubChem ID: 7290) and Tagatose (PubChem ID: 439312) were found in ESI+ and ESI-. Discussion: The Top 10 metabolites from pinang yaki extract (ESI+) juga have been indicated in preventing SARS Cov2 infection and have exhibited good neuroprotective immunity. Benzothiazole (PubChem ID: 7222), L-Isoleucine (PubChem ID: 6306), D-Glucono-Delta-Lactone (PubChem ID: 736), Diethylpyrocarbonate (PubChem ID: 3051), Bis(2-Ethylhexyl) amine (PubChem ID: 7791), Cinnamic Acid (PubChem ID: 444539), and Trigonelline (PubChem ID: 5570) also had potential effects as an antiviral, anti-inflammatory, and anti-Covid19. Conclusion: Untargeted metabolomic profiling showed many bioactive compounds contained in pinang yaki (Areca vestiaria) extract. The top 10 compounds have been identified and explored for their potential benefits as anti-Covid19 supplement products.

Download Full-text

The Combination of Untargeted Metabolomics and Machine Learning Predicts the Biosynthesis of Phenolic Compounds in Bryophyllum Medicinal Plants (Genus Kalanchoe)

Plants ◽

10.3390/plants10112430 ◽

2021 ◽

Vol 10 (11) ◽

pp. 2430

Author(s):

Pascual García-Pérez ◽

Leilei Zhang ◽

Begoña Miras-Moreno ◽

Eva Lozano-Milo ◽

Mariana Landin ◽

...

Keyword(s):

Machine Learning ◽

Phenolic Compounds ◽

Medicinal Plants ◽

Bioactive Compounds ◽

Culture Media ◽

Anthocyanin Biosynthesis ◽

Critical Role ◽

Untargeted Metabolomics ◽

Dependent Manner ◽

Promising Source

Phenolic compounds constitute an important family of natural bioactive compounds responsible for the medicinal properties attributed to Bryophyllum plants (genus Kalanchoe, Crassulaceae), but their production by these medicinal plants has not been characterized to date. In this work, a combinatorial approach including plant tissue culture, untargeted metabolomics, and machine learning is proposed to unravel the critical factors behind the biosynthesis of phenolic compounds in these species. The untargeted metabolomics revealed 485 annotated compounds that were produced by three Bryophyllum species cultured in vitro in a genotype and organ-dependent manner. Neurofuzzy logic (NFL) predictive models assessed the significant influence of genotypes and organs and identified the key nutrients from culture media formulations involved in phenolic compound biosynthesis. Sulfate played a critical role in tyrosol and lignan biosynthesis, copper in phenolic acid biosynthesis, calcium in stilbene biosynthesis, and magnesium in flavanol biosynthesis. Flavonol and anthocyanin biosynthesis was not significantly affected by mineral components. As a result, a predictive biosynthetic model for all the Bryophyllum genotypes was proposed. The combination of untargeted metabolomics with machine learning provided a robust approach to achieve the phytochemical characterization of the previously unexplored species belonging to the Bryophyllum subgenus, facilitating their biotechnological exploitation as a promising source of bioactive compounds.

Download Full-text