Design, fabrication, and evaluation of keratin and pectin incorporated supramolecular structured zero-oxidation state selenium nanogel blended 3D printed transdermal patch.

This study investigates the synthesis of selenium nanoparticles (SeNPs), owing to the low cost and abundance of selenium. However, the toxicity of SeNP prompts the development of a selenium nanocomposite (SeNC) containing pectin, keratin, and ferulic acid to improve the bioactivity of Se[0]. Further, incorporating the SeNC in a suitable formulation for drug delivery as a transdermal patch was worth studying. Accordingly, various analytical techniques were used to characterize the SeNPs and the SeNC, confirming successful synthesis and encapsulation. The SeNC exhibited notable particle size of 448.2 ± 50.2 nm, high encapsulation efficiency (98.90 % ± 2.4 %), 28.1 ± 0.45 drug loading, and sustained drug release at pH 5.5. Zeta potential and XPS confirmed the zero-oxidation state. The supramolecular structure was evident from spectral analysis endorsing the semi-crystalline nature of the SeNC and SEM images showcasing flower-shaped structures. Further, the SeNC demonstrated sustained drug release (approx. 22 % at 48 h) and wound-healing potential in L929 fibroblast cells. Subsequently, the SeNC loaded into a gelling agent exhibited shear thinning properties and improved drug release by nearly 58 %. A 3D printed reservoir-type transdermal patch was developed utilizing the SeNC-loaded gel, surpassing commercially available patches in characteristics such as % moisture uptake, tensile strength, and hydrophobicity. The patch, evaluated through permeation studies and CAM assay, exhibited controlled drug release and angiogenic properties for enhanced wound healing. The study concludes that this patch can serve as a smart dressing with tailored functionality for different wound stages, offering a promising novel drug delivery system for wound healing.

Molecular modeling and simulation of the human eNOS reductase domain, an enzyme involved in the release of vascular nitric oxide.

Homology modeling of the reductase domain of endothelial nitric oxide synthase (eNOS), which regulates the catalytic activity of eNOS, and molecular dynamics studies focusing especially on the serine residues S615, S633, and S1177 were performed. MD analysis of this structure revealed that S633 is highly flexible and accessible to solvent molecules, while S1177 becomes highly flexible when S633 is phosphorylated. The presence of intramolecular interactions between S1177 among the major serine residues underscores its structural importance to the efficient synthesis of nitric oxide in endothelium. In order to evaluate the appropriateness of phosphomimetic (for phosphorylation) and phosphomutant (for dephosphorylation) eNOSs for use as experimental model systems, the structural dynamics and conformational changes in phosphomimetic (S615D, S633D, S1177D) and phosphomutant (S615A, S633A, S1177A) eNOSs were investigated. Phosphomimetic and phosphomutant eNOSs portrayed S633 as a modulator of S1177, whereas such correlations could not be observed in native and phosphorylated eNOSs. Computational analysis of the docked complex revealed that phosphorylated pS1177 and pS615 have high affinity for Akt (one of the key kinases in the eNOS activation pathway), with a significant number of hydrogen bonds and salt bridges observed between these residues and Akt . This work therefore provides evidence of the subtle structural changes that occur within the reductase domain which contribute to the stability-flexibility-activity relationship of eNOS. Such subtle changes are of great importance in the context of regulated nitric oxide release by different phosphorylated forms of eNOS and the need to account for the existence of subtle differences between real proteins and experimental model systems.

Single particle tracking of correlated bacterial dynamics.

Pattern formation in 3D random media has been a topic of interest in soft matter and biological systems. However, the onset of long-range microscopic ordering has not been explored in randomly moving self-propelled particles due to a lack of model systems as well as local probe techniques. In this article, we report on a novel experiment, using motile Escherichia coli bacteria as a model system, to study the onset of dynamic correlation and collective movement in three-dimension. We use fluctuation of an optically trapped micron-size bead as a detector of correlated bacterial motion, and further study this behavior by analyzing the motility of fluorescent bacteria in a confocal volume. We find evidence of dynamic correlation at very low volume fractions (0.01). We show that the magnitude of this correlation strongly depends on the interbacterial distances and their coupling modes. This opens up possibilities to probe long-range pattern formation in actively propelled cells or organisms coupled through hydrodynamics and/or chemical signaling.