Catechins as Model Bioactive Compounds for Biomedical Applications

Santos, Adriana N. dos; Nascimento, Tatiana Rita de Lima; Gondim, Brenna Louise Cavalcanti; Velo, Marilia Mattar de Amoêdo Campos; Rêgo, Renaly Ivyna de Araújo; Neto, José Rodrigues do Carmo; Machado, Juliana Reis; Silva, Marcos; Araújo, Hélvia Walewska Casullo de; Fonseca, Maria G.; Castellano, Lúcio Roberto Cançado

doi:10.2174/1381612826666200603124418

Cited by 22 publications

(10 citation statements)

References 177 publications

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“…Sulforaphane is an antioxidative nutraceutical enriched in cruciferous vegetables [ 33 ], and daidzein is a plant-origin isoflavone [ 34 ]. Catechin, a green tea constituent [ 35 ], serves as a comparator with an estimated neutral effect. None of these molecules has been tested for effects against VC in the existing literature.…”

Section: Resultsmentioning

confidence: 99%

Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An In Silico Study with Experimental Validation

Chao

Tsai

Lee

et al. 2022

Oxidative Medicine and Cellular Longevity

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Background. Vascular calcification (VC) constitutes subclinical vascular burden and increases cardiovascular mortality. Effective therapeutics for VC remains to be procured. We aimed to use a deep learning-based strategy to screen and uncover plant compounds that potentially can be repurposed for managing VC. Methods. We integrated drugome, interactome, and diseasome information from Comparative Toxicogenomic Database (CTD), DrugBank, PubChem, Gene Ontology (GO), and BioGrid to analyze drug-disease associations. A deep representation learning was done using a high-level description of the local network architecture and features of the entities, followed by learning the global embeddings of nodes derived from a heterogeneous network using the graph neural network architecture and a random forest classifier established for prediction. Predicted results were tested in an in vitro VC model for validity based on the probability scores. Results. We collected 6,790 compounds with available Simplified Molecular-Input Line-Entry System (SMILES) data, 11,958 GO terms, 7,238 diseases, and 25,482 proteins, followed by local embedding vectors using an end-to-end transformer network and a node2vec algorithm and global embedding vectors learned from heterogeneous network via the graph neural network. Our algorithm conferred a good distinction between potential compounds, presenting as higher prediction scores for the compound categories with a higher potential but lower scores for other categories. Probability score-dependent selection revealed that antioxidants such as sulforaphane and daidzein were potentially effective compounds against VC, while catechin had low probability. All three compounds were validated in vitro. Conclusions. Our findings exemplify the utility of deep learning in identifying promising VC-treating plant compounds. Our model can be a quick and comprehensive computational screening tool to assist in the early drug discovery process.

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Section: Resultsmentioning

confidence: 99%

Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An In Silico Study with Experimental Validation

Chao

Tsai

Lee

et al. 2022

Oxidative Medicine and Cellular Longevity

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“…Catechins are polyphenolic flavonol compounds which are regarded to be the key bioactive components of green tea. Furthermore, these may be found in black grapes, strawberries, and apricots [ 137 ]. Green tea catechins are by and large represented by four biomolecules, specifically epicatechin (EC), epigallocatechin (EGC), epicatechin-3-gallate (ECG) and epigallocatechin-3-gallate (EGCG) [ 26 ].…”

Section: Catechinsmentioning

confidence: 99%

“…Green tea catechins are by and large represented by four biomolecules, specifically epicatechin (EC), epigallocatechin (EGC), epicatechin-3-gallate (ECG) and epigallocatechin-3-gallate (EGCG) [ 26 ]. Catechins have been reported to possess a wide spectrum of biological activities and may be useful in the prevention of cardiovascular diseases, cancer, osteoarthritis, and Parkinson’s disease [ 137 , 138 ]. Furthermore, the biomolecules are able to modulate the metabolism of carbohydrates and lipids, thus acting in the prevention of diabetes mellitus Type 2 and liver diseases [ 138 ].…”

Section: Catechinsmentioning

confidence: 99%

The Role of Selected Natural Biomolecules in Sperm Production and Functionality

et al. 2021

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Emerging evidence from in vivo as well as in vitro studies indicates that natural biomolecules may play important roles in the prevention or management of a wide array of chronic diseases. Furthermore, the use of natural compounds in the treatment of male sub- or infertility has been proposed as a potential alternative to conventional therapeutic options. As such, we aimed to evaluate the effects of selected natural biomolecules on the sperm production, structural integrity, and functional activity. At the same time, we reviewed their possible beneficial or adverse effects on male reproductive health. Using relevant keywords, a literature search was performed to collect currently available information regarding molecular mechanisms by which selected natural biomolecules exhibit their biological effects in the context of male reproductive dysfunction. Evidence gathered from clinical trials, in vitro experiments and in vivo studies suggest that the selected natural compounds affect key targets related to sperm mitochondrial metabolism and motion behavior, oxidative stress, inflammation, DNA integrity and cell death. The majority of reports emphasize on ameliorative, stimulating and protective effects of natural biomolecules on the sperm function. Nevertheless, possible adverse and toxic behavior of natural compounds has been indicated as well, pointing out to a possible dose-dependent impact of natural biomolecules on the sperm survival and functionality. As such, further research leading to a deeper understanding of the beneficial or adverse roles of natural compounds is necessary before these can be employed for the management of male reproductive dysfunction.

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“…Ellagic acid and catechin commonly are used to determine total phenolic in the Folin-Ciocalteu method and total flavonoid (Saeed, Khan, & Shabbir, 2012;Zaiter, Becker, Karam, & Dicko, 2016). Both include a strong natural antioxidant, and their biological activities are antifungal, antiinflammatory, antivirus, and antibacterial (Choubey, Varughese, Kumar, & Beniwal, 2015;Dos Santos et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Preparation and characterization of nanopowder of Acalypha hispida Leaves Extract Using Planetary Ball Milling

Alfarisi¹,

Sa’diah²,

Juliandi³

et al. 2022

molekul

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Acalypha hispida Burm.f. is commonly used as an ornamental plant known for pharmacological effects. The nanoscale extract increases bioavailability and bioactivity. This research aimed to produce and characterize nanopowder extract of A. hispida leaves. Powdered leaves were macerated in 96% ethanol, then was evaporated in the spry dryer. Nanopowder extract was produced using planetary ball milling at 5000 rpm in different milling times, namely 5 minutes (nanopowder A), 10 minutes (nanopowder B), and 40 minutes (nanopowder C). The nanopowder extracts were evaluated using a particle size analyzer, scanning electron microscope, and high-performance liquid chromatography. The average particle size of A. hispida crude extract was 1271 nm, and nanopowder A, B, and C respectively were 837.1 nm, 803.8, and 512.2 nm. The polydispersity index of A. hispida crude extract, nanopowder A, B, and C were 0.754, 0.696, 0.717, dan 0.612. The milling process for 40 minutes reduced the content of 5% gallic acid and 10.3% catechin. The SEM image of nanopowder C was smaller than crude extract. The best average particle size of nanopowder C (512.2 nm) and polydispersity index (0.612) were produced using PBM for 40 minutes at 5000 rpm.

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Catechins as Model Bioactive Compounds for Biomedical Applications

Cited by 22 publications

References 177 publications

Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An In Silico Study with Experimental Validation

Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An In Silico Study with Experimental Validation

The Role of Selected Natural Biomolecules in Sperm Production and Functionality

Preparation and characterization of nanopowder of Acalypha hispida Leaves Extract Using Planetary Ball Milling

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