Recent advancements in nanomaterial-mediated ferroptosis-induced cancer therapy: Importance of molecular dynamics and novel strategies.

Ferroptosis is a novel type of controlled cell death resulting from an imbalance between oxidative harm and protective mechanisms, demonstrating significant potential in combating cancer. It differs from other forms of cell death, such as apoptosis and necrosis. Molecular therapeutics have hard time playing the long-acting role of ferroptosis induction due to their limited water solubility, low cell targeting capacity, and quick metabolism in vivo. To this end, small molecule inducers based on biological factors have long been used as strategy to induce cell death. Research into ferroptosis and advancements in nanotechnology have led to the discovery that nanomaterials are superior to biological medications in triggering ferroptosis. Nanomaterials derived from iron can enhance ferroptosis induction by directly releasing large quantities of iron and increasing cell ROS levels. Moreover, utilizing nanomaterials to promote programmed cell death minimizes the probability of unfavorable effects induced by mutations in cancer-associated genes such as RAS and TP53. Taken together, this review summarizes the molecular mechanisms involved in ferroptosis along with the classification of ferroptosis induction. It also emphasized the importance of cell organelles in the control of ferroptosis in cancer therapy. The nanomaterials that trigger ferroptosis are categorized and explained. Iron-based and noniron-based nanomaterials with their characterization at the molecular and cellular levels have been explored, which will be useful for inducing ferroptosis that leads to reduced tumor growth. Within this framework, we offer a synopsis, which traverses the well-established mechanism of ferroptosis and offers practical suggestions for the design and therapeutic use of nanomaterials.

Lecithin Organogel: A Promising Carrier for the Treatment of Skin Diseases.

Skin is the largest organ of the human body, as it protects the body from the external environment. Nowadays, skin diseases and skin problems are more common, and millions of people are affected daily. Skin diseases are due to numerous infectious pathogens or inflammatory conditions. The increasing demand for theoretical research and practical applications has led to the rising prominence of gel as a semisolid material. To this end, organogels has been widely explored due to their unique composition, which includes organic solvents and mineral or vegetable oils, among others. Organogels can be described as semisolid systems wherein an organic liquid phase is confined within a three-dimensional framework consisting of self-assembled, cross-linked, or entangled gelator fibers. These gels have the ability to undergo significant expansion and retain substantial amounts of the liquid phase, reaching up to 99% swelling capacity. Furthermore, they respond to a range of physical and chemical stimuli, including temperature, light, pH, and mechanical deformation. Notably, due to their distinctive properties, they have aroused significant interest in a variety of practical applications. Organogels favor the significant encapsulation and enhanced permeation of hydrophobic molecules when compared with hydrogels. Accordingly, organogels are characterized into lecithin organogels, pluronic lecithin organogels, sorbitan monostearate-based organogels, and eudragit organogels, among others, based on the nature of their network and the solvent system. Lecithin organogels contain lecithin (natural and safe as a living cell component) as an organogelator. It acts as a good penetration enhancer. In this review, first we have summarized the fundamental concepts related to the elemental structure of organogels, including their various forms, distinctive features, methods of manufacture, and diverse applications. Nonetheless, this review also sheds light on the delivery of therapeutic molecules entrapped in the lecithin organogel system into deep tissue for the management of skin diseases and provides a synopsis of their clinical applications.

Hydrocaffeic acid-chitosan coating of gastric patch provides long-acting mucoadhesive delivery of model chemotherapeutic agent.

The development of a long-acting orally administered dosage form is a challenge. Here, we report development of a multi-layered mucoadhesive gastric patch that could deliver entrapped chemotherapeutic agent for eight days after oral administration. The multi-layered patch was designed to contain core layer, mucoadhesive layer and backing layer. The core layer contained the model chemotherapeutic agent, regorafenib. The mucoadhesive layer made of chitosan-hydrocaffeic acid conjugate showed greatest mucoadhesion strength of 18.1 ± 0.78 kPa in freshly excised rat gastric mucosa. The backing layer made of hydrophobic polycaprolactone-polydimethylsiloxane composite showed the contact angle of 120 ± 4.7° after placement of water drop. The entrapped regorafenib predominantly released from the mucoadhesive-side of the patch into simulated gastric fluid and showed a zero-order release profile. The patches were found to be stable for desired characteristics for up to 3 months in long term storage conditions. The pharmacokinetic studies in rat model revealed constant plasma concentration of regorafenib sustained for 8 days after oral administration of gastric patch. The gastric tissue where the patch adhered for 8 days did not show any significant histological changes compared with the normal gastric tissue. The oral administration of single dose of regorafenib-loaded gastric patch in FaDu cell xenografted tumor bearing athymic nude mice has shown significant (P < 0.05) reduction in the tumor volume over 7 days compared to the control group. Taken together, the multi-layered mucoadhesive gastric patch can be developed as a long-acting oral drug delivery system.

Generating novel molecule for target protein (SARS-CoV-2) using drug-target interaction based on graph neural network.

The transmittable spread of viral coronavirus (SARS-CoV-2) has resulted in a significant rise in global mortality. Due to lack of effective treatment, our aim is to generate a highly potent active molecule that can bind with the protein structure of SARS-CoV-2. Different machine learning and deep learning approaches have been proposed for molecule generation; however, most of these approaches represent the drug molecule and protein structure in 1D sequence, ignoring the fact that molecules are by nature in 3D structure, and because of this many critical properties are lost. In this work, a framework is proposed that takes account of both tertiary and sequential representations of molecules and proteins using Gated Graph Neural Network (GGNN), Knowledge graph, and Early Fusion approach. The generated molecules from GGNN are screened using Knowledge Graph to reduce the search space by discarding the non-binding molecules before being fed into the Early Fusion model. Further, the binding affinity score of the generated molecule is predicted using the early fusion approach. Experimental result shows that our framework generates valid and unique molecules with high accuracy while preserving the chemical properties. The use of a knowledge graph claims that the entire generated dataset of molecules was reduced by roughly 96% while retaining more than 85% of good binding desirable molecules and the rejection of more than 99% of fruitless molecules. Additionally, the framework was tested with two of the SARS-CoV-2 viral proteins: RNA-dependent-RNA polymerase (RdRp) and 3C-like protease (3CLpro).

Transdermal delivery of vancomycin hydrochloride: Influence of chemical and physical permeation enhancers.

Topical and transdermal delivery of vancomycin hydrochloride (VH), a broad-spectrum peptide antibiotic, is a challenge because of its high molecular weight (1485.7 Da) and hydrophilicity (log P -3.1). The objective of this study was to investigate the feasibility of delivering VH into and across the skin using permeation enhancement techniques. Skin permeation studies were performed using Franz diffusion cell apparatus in the excised porcine skin model. The influence of co-treatment and pre-treatment of chemical permeation enhancers (oleic acid and palmitic acid) on permeation of VH across intact and tape-stripped skin was evaluated. In addition, continuous anodal iontophoresis was applied to enhance the skin permeation of VH. The mechanism of skin permeation enhancement by palmitic acid was investigated using FTIR spectroscopy, impedance spectroscopy, and thermal analysis techniques. Pharmacokinetic analysis was performed after the topical application of VH formulations in Sprague Dawley rats. Results from permeation studies showed that VH did not passively permeate across the intact skin after 48 h, whereas the cumulative amount of VH permeated across the tape-stripped skin was found to be 854 ± 67 µg/cm2. A combination of tape-stripping and chemical enhancers resulted in enhancing the cumulative amount of VH permeated across the skin by 2- and 10-fold with oleic acid and palmitic acid application, respectively. Similarly, 2 and 12 h pre-treatment of tape-stripped skin with palmitic acid enhanced the flux of VH across the skin by 1.7- and 5-fold, respectively. It was found that tape-stripping and the palmitic acid application would provide greater VH permeation compared with 0.31 mA/cm2 iontophoresis application. Thermal analysis and impedance spectroscopic analysis showed that palmitic acid interacts with epidermal lipids to enhance VH permeation. Pharmacokinetic analysis after topical application showed that the Cmax and mean residence time increased by 3-fold with the application of VH and palmitic acid on tape-stripped skin compared with free VH on intact skin. Taken together, VH can be delivered through the topical route using a combination of chemical enhancer and tape-stripping to treat local and systemic bacterial infections.

Proposal for an all-spin logic device with built-in memory.

The possible use of spin rather than charge as a state variable in devices for processing and storing information has been widely discussed, because it could allow low-power operation and might also have applications in quantum computing. However, spin-based experiments and proposals for logic applications typically use spin only as an internal variable, the terminal quantities for each individual logic gate still being charge-based. This requires repeated spin-to-charge conversion, using extra hardware that offsets any possible advantage. Here we propose a spintronic device that uses spin at every stage of its operation. Input and output information are represented by the magnetization of nanomagnets that communicate through spin-coherent channels. Based on simulations with an experimentally benchmarked model, we argue that the device is both feasible and shows the five essential characteristics for logic applications: concatenability, nonlinearity, feedback elimination, gain and a complete set of Boolean operations.