Crown Ether Nanovesicles (Crownsomes) Repositioned Phenytoin for Healing of Corneal Ulcers

Mahmoud, Dina B.; Afifi, Samar A.; Sayed, Nesrine S El

doi:10.1021/acs.molpharmaceut.0c00742

Cited by 5 publications

(4 citation statements)

References 45 publications

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“…The values of PDI are usually within the range of 0–1. A smaller PDI value signifies a monodispersed and homogenous droplet size distribution while a greater PDI values represents a broader size distribution and less uniform samples [ 42 ]. It is observable from the results that the mean droplet size of SN1 was 119.65 ± 8.7 nm and PDI value was 0.247 ± 0.02 indicating monodispersed droplet size distribution within the formulation; while SN2 exhibited statistically significant larger droplet size of 164 ± 10.4 nm and larger PDI value of 0.62 ± 0.12 (p < 0.05; student t-test).…”

Section: Resultsmentioning

confidence: 99%

Delineating a potent antiviral activity of Cuphea ignea extract loaded nano-formulation against SARS-CoV-2: In silico and in vitro studies

Mahmoud

Ismail

Moatasim

et al. 2021

Journal of Drug Delivery Science and Technology

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The outbreak of coronavirus disease-2019, caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a worldwide emerging crisis. Polyphenols are a class of herbal metabolites with a broad-spectrum antiviral activity. However, most polyphenols encounter limited efficacy due to their poor solubility and degradation in neutral and basic environments. Thus, the effectiveness of their pharmaceutical application is critically dependent on the delivery systems to overcome the aforementioned drawbacks. Herein, Polyphenols-rich Cuphea ignea extract was prepared and its constituents were identified and quantified. Molecular docking was conducted for 15 compounds in the extract against SARS-CoV-2 main protease, among which rutin, myricetin-3- O -rhamnoside and rosmarinic acid depicted the most promising antiviral activity. Further, a self-nanoemulsifying formulation, composed of 10% oleic acid, 40% tween 20 and propylene glycol 50%, were prepared to improve the solubility of the extract components and enable its concurrent delivery permitting combined potency. Upon dilution with aqueous phases, the formulation rapidly form nanoemulsion of good stability and excellent dissolution profile in acidic pH when compared to the crude extract. It inhibited SARS-CoV-2 completely in vitro at a concentration as low as 5.87 μg/mL presenting a promising antiviral remedy for SARS-CoV-2, which may be attributed to the possible synergism between the extract components.

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Section: Resultsmentioning

confidence: 99%

Delineating a potent antiviral activity of Cuphea ignea extract loaded nano-formulation against SARS-CoV-2: In silico and in vitro studies

Mahmoud

Ismail

Moatasim

et al. 2021

Journal of Drug Delivery Science and Technology

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“…81 In addition, Mahmoud and co-workers utilized the polar headgroup 18crown-6 as an amphiphilic molecule interacting with the lipophilic Span 60 to form nanovesicles. 82 The increased concentration of 18-crown-6 captures more of the drug phenytoin sodium, thus improving the biocompatibility of phenytoin sodium and protecting tissues from possible adverse damage caused by the drug, and this new formulation shows better clinical efficacy. 18-Crown-6 increasing its concentration could trap the drug phenytoin sodium, thus improving the biocompatibility and protecting the tissue from possible adverse damage caused by the drug, and the new formulation showed better clinical therapeutics.…”

Section: Pillararenes As Ligands For Encapsulated Drugsmentioning

confidence: 99%

“…Morrison et al investigated the enhanced solubility and permeability of crown ethers (12C4, 15C5, and 18C6) bound to the ocular drug riboflavin . In addition, Mahmoud and co-workers utilized the polar headgroup 18-crown-6 as an amphiphilic molecule interacting with the lipophilic Span 60 to form nanovesicles . The increased concentration of 18-crown-6 captures more of the drug phenytoin sodium, thus improving the biocompatibility of phenytoin sodium and protecting tissues from possible adverse damage caused by the drug, and this new formulation shows better clinical efficacy.…”

Section: Other Supramolecular Nanodrug Carriers Based On the Host–gue...mentioning

confidence: 99%

Supramolecular Biopharmaceutical Carriers Based on Host–Guest Interactions

Zhang

et al. 2022

J. Agric. Food Chem.

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Traditional drugs have the disadvantages of poor permeability and low solubility, which makes the utilization of pesticides lower and brings many side effects. With the continuous development of supramolecular chemistry in recent years, it has also played an irreplaceable role in the field of pharmaceutical science. Supramolecular macrocycles, such as crown ethers, cyclodextrins, calixarenes, pillararenes and cucurbiturils, are potentially good candidates for drug carriers due to their biocompatibility, hydrophobic cavity and ease of derivatization. The encapsulation of drugs based on host−guest interaction has the advantage of being adjustable and reversible as well as improving the low availability of drugs. Here, the recent advances in methods and strategies for drug encapsulation and release based on supramolecular macrocycles with host−guest interactions have been systematically summarized, laying a bright foundation for the development of novel nanopesticide preparations in the future and pointing out future directions of novel biopesticide research.

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“…However, the increasing demand for new drugs still cannot be met . Drug repositioning is a creative and resourceful approach to increase the number of therapies by exploiting available and approved drugs . Since the safety and effectiveness of specific signs have been tested and approved, the investment risk can also be greatly reduced. , Drug repositioning aims to identify new therapeutic opportunities for existing drugs, which can reduce the time, costs, and risk of traditional drug development and shorten the period of drug approval and launch .…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning-Based Biological Drug–Target Interaction Prediction Method for a Tripartite Heterogeneous Network

Zheng

2021

ACS Omega

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Drug repositioning is the identification of interactions between drugs and target proteins in pharmaceutical sciences. Traditional large-scale validation through chemical experiments is time-consuming and expensive, while drug repositioning can drastically decrease the cost and duration taken by traditional drug development. With the rapid advancement of high-throughput technologies and the explosion of various biological and medical data, computational drug repositioning methods have been used to systematically identify potential drug–target interactions. Some of them are based on a particular class of machine learning algorithms called kernel methods. In this paper, we propose a new machine learning prediction method combining multiple kernels into a tripartite heterogeneous drug–target–disease interaction spaces in order to integrate multiple sources of biological information simultaneously. This novel network algorithm extends the traditional drug–target interaction bipartite graph to the third disease layer. Meanwhile, Gaussian kernel functions on heterogeneous networks and the regularized least square method of the Kronecker product are used to predict new drug–target interactions. The values of AUPR (area under the precision–recall curve) and AUC (the area under the receiver operating characteristic curve) of the proposed algorithm are significantly improved. Especially, the AUC values are improved to 0.99, 0.99, 0.97, and 0.96 on four benchmark data sets. These experimental results substantiate that the network topology can be used for predicting drug–target interactions.

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Crown Ether Nanovesicles (Crownsomes) Repositioned Phenytoin for Healing of Corneal Ulcers

Cited by 5 publications

References 45 publications

Delineating a potent antiviral activity of Cuphea ignea extract loaded nano-formulation against SARS-CoV-2: In silico and in vitro studies

Delineating a potent antiviral activity of Cuphea ignea extract loaded nano-formulation against SARS-CoV-2: In silico and in vitro studies

Supramolecular Biopharmaceutical Carriers Based on Host–Guest Interactions

A Machine Learning-Based Biological Drug–Target Interaction Prediction Method for a Tripartite Heterogeneous Network

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