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

Plants ◽  
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.

scholarly journals Combining Medicinal Plant In Vitro Culture with Machine Learning Technologies for Maximizing the Production of Phenolic Compounds

Antioxidants ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 210 ◽  
Author(s):  
Pascual García-Pérez ◽  
Eva Lozano-Milo ◽  
Mariana Landín ◽  
Pedro Pablo Gallego
Keyword(s):  
Machine Learning ◽  
Phenolic Compounds ◽  
In Vitro Culture ◽  
Culture Media ◽  
Radical Scavenging Activity ◽  
Radical Scavenging ◽  
Total Phenolic ◽  
Starting Point ◽  
Plant In Vitro Culture

We combined machine learning and plant in vitro culture methodologies as a novel approach for unraveling the phytochemical potential of unexploited medicinal plants. In order to induce phenolic compound biosynthesis, the in vitro culture of three different species of Bryophyllum under nutritional stress was established. To optimize phenolic extraction, four solvents with different MeOH proportions were used, and total phenolic content (TPC), flavonoid content (FC) and radical-scavenging activity (RSA) were determined. All results were subjected to data modeling with the application of artificial neural networks to provide insight into the significant factors that influence such multifactorial processes. Our findings suggest that aerial parts accumulate a higher proportion of phenolic compounds and flavonoids in comparison to roots. TPC was increased under ammonium concentrations below 15 mM, and their extraction was maximum when using solvents with intermediate methanol proportions (55–85%). The same behavior was reported for RSA, and, conversely, FC was independent of culture media composition, and their extraction was enhanced using solvents with high methanol proportions (>85%). These findings confer a wide perspective about the relationship between abiotic stress and secondary metabolism and could serve as the starting point for the optimization of bioactive compound production at a biotechnological scale.

scholarly journals Mechanisms of Medicinal Plant Activity on Nitric Oxide (NO) Bioavailability as Prospective Treatments for Atherosclerosis

2020 ◽  
Vol 26 (22) ◽  
pp. 2591-2601 ◽  
Author(s):  
Khojasteh Malekmohammad ◽  
Robert D.E. Sewell ◽  
Mahmoud Rafieian-Kopaei
Keyword(s):  
Nitric Oxide ◽  
Protein Kinase ◽  
Medicinal Plants ◽  
Bioactive Compounds ◽  
Protein Tyrosine Kinase ◽  
Critical Role ◽  
Nitrite Reduction ◽  
No Production ◽  
Vascular Effects ◽  
No Bioavailability

Background and objective: Atherosclerosis is one of the leading causes of human morbidity globally and reduced bioavailability of vascular nitric oxide (NO) has a critical role in the progression and development of the atherosclerotic disease. Loss of NO bioavailability, for example via a deficiency of the substrate (L-arginine) or cofactors for endothelial nitric oxide synthase (eNOS), invariably leads to detrimental vascular effects such as impaired endothelial function and increased smooth muscle cell proliferation, deficiency of the substrate (Larginine) or cofactors for eNOS. Various medicinal plants and their bioactive compounds or secondary metabolites with fewer side effects are potentially implicated in preventing cardiovascular disease by increasing NO bioavailability, thereby ameliorating endothelial dysfunction. In this review, we describe the most notable medicinal plants and their bioactive compounds that may be appropriate for enhancing NO bioavailability, and treatment of atherosclerosis. Methods: The material in this article was obtained from noteworthy scientific databases, including Web of Science, PubMed, Science Direct, Scopus and Google Scholar. Results: Medicinal plants and their bioactive compounds influence NO production through diverse mechanisms including the activation of the nuclear factor kappa B (NF-κB) signaling pathway, activating protein kinase C (PKC)-α, stimulating protein tyrosine kinase (PTK), reducing the conversion of nitrite to NO via nitrate-nitrite reduction pathways, induction of eNOS, activating the phosphatidylinositol 3-kinase (PI3K)/serine threonine protein kinase B (AKT) (PI3K/AKT/eNOS/NO) pathway and decreasing oxidative stress. Conclusion: Medicinal plants and/or their constituent bioactive compounds may be considered as safe therapeutic options for enhancing NO bioavailability and prospective preventative therapy for atherosclerosis.

Phenolic production and antioxidant properties of some Macedonian medicinal plants

2014 ◽  
Vol 9 (9) ◽  
pp. 888-900 ◽  
Author(s):  
Oliver Tusevski ◽  
Aneta Kostovska ◽  
Ana Iloska ◽  
Ljubica Trajkovska ◽  
Sonja Simic
Keyword(s):  
Phenolic Compounds ◽  
Medicinal Plants ◽  
Antioxidant Capacity ◽  
Total Phenolics ◽  
Antioxidant Properties ◽  
Radical Scavenging ◽  
Reducing Power ◽  
Natural Antioxidants ◽  
Pharmaceutical Industries ◽  
Promising Source

AbstractInvestigations have been made to study the production of phenolic compounds (total phenolics, flavonoids and phenylpropanoids) and total antioxidant capacity in 27 Macedonian traditional medicinal plants to improve its potential as a source of natural antioxidants. Antioxidant potential of plant extracts was analyzed by five different assays: cupric reducing antioxidant capacity (CUPRAC), phosphomolybdenum method (PM), reducing power (RP), 2,2-diphenyl-1-picrylhydrazyl (DPPH·) and 2,2′-azinobis(3-ethylbenzothiazoline-6-sulphonic acid (ABTS·+) radical scavenging activity. Origanum vulgare extract consistently exhibited the highest content of phenolic compounds and the strongest antioxidant capacity based on the tests performed, and can be proposed as a promising source of natural antioxidants. Melissa officinalis and Salvia ringens were also identified as valuable sources of antioxidant compounds. A positive linear correlation between antioxidant activity and total phenolics, flavonoids and phenylpropanoids indicates that these compounds are likely to be the main antioxidants contributing to the observed activities of evaluated plants. These findings suggest that the medicinal plants studied in this paper are good sources of bioactive compounds for the food and pharmaceutical industries.

scholarly journals Extraction of Bioactive Compounds from Medicinal Plants and Herbs

2021 ◽  
Author(s):  
Fongang Fotsing Yannick Stéphane ◽  
Bankeu Kezetas Jean Jules ◽  
Gaber El-Saber Batiha ◽  
Iftikhar Ali ◽  
Lenta Ndjakou Bruno
Keyword(s):  
Medicinal Plants ◽  
Bioactive Compounds ◽  
Critical Role ◽  
Extraction Methods ◽  
Human Beings ◽  
Phytochemical Content ◽  
Extraction Procedures ◽  
Bioactive Ingredients ◽  
The Subject ◽  
The Cost

Human beings have relied on herbs and medicinal plants as sources of food and remedy from time immemorial. Bioactive compounds from plants are currently the subject of much research interest, but their extraction as part of phytochemical and/or biological investigations present specific challenges. Herbalists or scientists have developed many protocols of extraction of bioactive ingredients to ensure the effectiveness and the efficacy of crude drugs that were used to get relief from sickness. With the advent of new leads from plants such as morphine, quinine, taxol, artemisinin, and alkaloids from Voacanga species, a lot of attention is paid to the mode of extraction of active phytochemicals to limit the cost linked to the synthesis and isolation. Thus, the extraction of active compounds from plants needs appropriate extraction methods and techniques that provide bioactive ingredients-rich extracts and fractions. The extraction procedures, therefore, play a critical role in the yield, the nature of phytochemical content, etc. This chapter aims to present, describe, and compare extraction procedures of bioactive compounds from herbs and medicinal plants.

scholarly journals From Ethnomedicine to Plant Biotechnology and Machine Learning: The Valorization of the Medicinal Plant Bryophyllum sp.

2020 ◽  
Vol 13 (12) ◽  
pp. 444
Author(s):  
Pascual García-Pérez ◽  
Eva Lozano-Milo ◽  
Mariana Landin ◽  
Pedro P. Gallego
Keyword(s):  
Machine Learning ◽  
Bioactive Compounds ◽  
Large Scale ◽  
Plant Biotechnology ◽  
Wild Plant ◽  
Learning Technology ◽  
Plant Resources ◽  
Gynecological Disorders ◽  
Pharmaceutical Industries ◽  
Promising Source

The subgenus Bryophyllum includes about 25 plant species native to Madagascar, and is widely used in traditional medicine worldwide. Different formulations from Bryophyllum have been employed for the treatment of several ailments, including infections, gynecological disorders, and chronic diseases, such as diabetes, neurological and neoplastic diseases. Two major families of secondary metabolites have been reported as responsible for these bioactivities: phenolic compounds and bufadienolides. These compounds are found in limited amounts in plants because they are biosynthesized in response to different biotic and abiotic stresses. Therefore, novel approaches should be undertaken with the aim of achieving the phytochemical valorization of Bryophyllum sp., allowing a sustainable production that prevents from a massive exploitation of wild plant resources. This review focuses on the study of phytoconstituents reported on Bryophyllum sp.; the application of plant tissue culture methodology as a reliable tool for the valorization of bioactive compounds; and the application of machine learning technology to model and optimize the full phytochemical potential of Bryophyllum sp. As a result, Bryophyllum species can be considered as a promising source of plant bioactive compounds, with enormous antioxidant and anticancer potential, which could be used for their large-scale biotechnological exploitation in cosmetic, food, and pharmaceutical industries.

scholarly journals Machine Learning Unmasked Nutritional Imbalances on the Medicinal Plant Bryophyllum sp. Cultured in vitro

2020 ◽  
Vol 11 ◽  
Author(s):  
Pascual García-Pérez ◽  
Eva Lozano-Milo ◽  
Mariana Landin ◽  
Pedro Pablo Gallego
Keyword(s):  
Machine Learning ◽  
Medicinal Plants ◽  
Mineral Nutrition ◽  
Fine Tuning ◽  
Critical Parameters ◽  
Dependent Manner ◽  
Critical Factors ◽  
Factors Affecting ◽  
Neurofuzzy Logic

Plant nutrition is a crucial factor that is usually underestimated when designing plant in vitro culture protocols of unexploited plants. As a complex multifactorial process, the study of nutritional imbalances requires the use of time-consuming experimental designs and appropriate statistical and multiple regression analysis for the determination of critical parameters, whose results may be difficult to interpret when the number of variables is large. The use of machine learning (ML) supposes a cutting-edge approach to investigate multifactorial processes, with the aim of detecting non-linear relationships and critical factors affecting a determined response and their concealed interactions. Thus, in this work we applied artificial neural networks coupled to fuzzy logic, known as neurofuzzy logic, to determine the critical factors affecting the mineral nutrition of medicinal plants belonging to Bryophyllum subgenus cultured in vitro. The application of neurofuzzy logic algorithms facilitate the interpretation of the results, as the technology is able to generate useful and understandable “IF-THEN” rules, that provide information about the factor(s) involved in a certain response. In this sense, ammonium, sulfate, molybdenum, copper and sodium were the most important nutrients that explain the variation in the in vitro culture establishment of the medicinal plants in a species-dependent manner. Thus, our results indicate that Bryophyllum spp. display a fine-tuning regulation of mineral nutrition, that was reported for the first time under in vitro conditions. Overall, neurofuzzy model was able to predict and identify masked interactions among such factors, providing a source of knowledge (helpful information) from the experimental data (non-informative per se), in order to make the exploitation and valorization of medicinal plants with high phytochemical potential easier.

scholarly journals Treatment with Argovit® Silver Nanoparticles Induces Differentiated Postharvest Biosynthesis of Compounds with Pharmaceutical Interest in Carrot (Daucus carota L.)

Nanomaterials ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3148
Author(s):  
Laura Sofia Santoscoy-Berber ◽  
Marilena Antunes-Ricardo ◽  
Melissa Zulahi Gallegos-Granados ◽  
Juan Carlos García-Ramos ◽  
Alexey Pestryakov ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Phenolic Compounds ◽  
Antioxidant Capacity ◽  
Bioactive Compounds ◽  
Plant Secondary Metabolites ◽  
Global Market ◽  
Total Phenolic ◽  
Dependent Manner ◽  
Daucus Carota L ◽  
Caffeoylquinic Acid

The global market for plant-derived bioactive compounds is growing significantly. The use of plant secondary metabolites has been reported to be used for the prevention of chronic diseases. Silver nanoparticles were used to analyze the content of enhancement phenolic compounds in carrots. Carrot samples were immersed in different concentrations (0, 5, 10, 20, or 40 mg/L) of each of five types of silver nanoparticles (AgNPs) for 3 min. Spectrophotometric methods measured the total phenolic compounds and the antioxidant capacity. The individual phenolic compounds were quantified by High Performance Liquid Chromatography (HPLC) and identified by –mass spectrometry (HPLC-MS). The five types of AgNPs could significantly increase the antioxidant capacity of carrots’ tissue in a dose-dependent manner. An amount of 20 mg/L of type 2 and 5 silver nanoparticle formulations increased the antioxidant capacity 3.3-fold and 4.1-fold, respectively. The phenolic compounds that significantly increased their content after the AgNP treatment were chlorogenic acid, 3-O-caffeoylquinic acid, and 5′-caffeoylquinic acid. The increment of each compound depended on the dose and the type of the used AgNPs. The exogenous application of Argovit® AgNPs works like controlled abiotic stress and produces high-value secondary bioactive compounds in carrot.

Natriuretic Peptides Regulate the Expression of Tissue Factor and PAI-1 in Endothelial Cells

1999 ◽  
Vol 82 (11) ◽  
pp. 1497-1503 ◽  
Author(s):  
Hajime Tsuji ◽  
Hiromi Nishimura ◽  
Haruchika Masuda ◽  
Yasushi Kunieda ◽  
Hidehiko Kawano ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Tissue Factor ◽  
Plasminogen Activator ◽  
Natriuretic Peptide ◽  
Culture Media ◽  
Tissue Type ◽  
Dependent Manner ◽  
Ang Ii ◽  
Plasminogen Activator Inhibitor 1 ◽  
Pai 1

SummaryIn the present study, we demonstrate that brain natriuretic peptide (BNP) and C-type natriuretic peptide (CNP) interact with angiotensin II (Ang II) in regulative blood coagulation and fibrinolysis by suppressing the expressions of both tissue factor (TF) and plasminogen activator inhibitor-1 (PAI-1) induced by Ang II. The expressions of TF and PAI-1 mRNA were analyzed by northern blotting methods, and the activities of TF on the surface of rat aortic endothelial cells (RAECs) and PAI-1 in the culture media were respectively measured by chromogenic assay.Both BNP and CNP suppressed the expressions of TF and PAI-1 mRNA induced by Ang II in a time- and concentration-dependent manner via cGMP cascade, which suppressions were accompanied by respective decrease in activities of TF and PAI-1. However, neither the expression of tissue factor pathway inhibitor (TFPI) nor tissue-type plasminogen activator (TPA) mRNA was affected by the treatment of BNP and CNP.

Natural products from the traditional Moroccan pharmacopoeia: A potential lead for the prevention and treatment of COVID-19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1278-1285
Author(s):  
Mohamed Yafout ◽  
Amine Ousaid ◽  
Ibrahim Sbai El Otmani ◽  
Youssef Khayati ◽  
Amal Ait Haj Said
Keyword(s):  
Medicinal Plants ◽  
Plant Extracts ◽  
Molecular Mechanisms ◽  
Scientific Literature ◽  
Treatment Protocol ◽  
World Health ◽  
The World ◽  
Health Organization ◽  
Promising Source

The new SARS-CoV-2 belonging to the coronaviruses family has caused a pandemic affecting millions of people around the world. This pandemic has been declared by the World Health Organization as an international public health emergency. Although several clinical trials involving a large number of drugs are currently underway, no treatment protocol for COVID-19 has been officially approved so far. Here we demonstrate through a search in the scientific literature that the traditional Moroccan pharmacopoeia, which includes more than 500 medicinal plants, is a fascinating and promising source for the research of natural molecules active against SARS-CoV-2. Multiple in-silico and in-vitro studies showed that some of the medicinal plants used by Moroccans for centuries possess inhibitory activity against SARS-CoV or SARS-CoV-2. These inhibitory activities are achieved through the different molecular mechanisms of virus penetration and replication, or indirectly through stimulation of immunity. Thus, the potential of plants, plant extracts and molecules derived from plants that are traditionally used in Morocco and have activity against SARS-CoV-2, could be explored in the search for a preventive or curative treatment against COVID-19. Furthermore, safe plants or plant extracts that are proven to stimulate immunity could be officially recommended by governments as nutritional supplements.

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