Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.02.21.529363

Nanoparticles of bioactive natural collagen for wound healing: Experimental approach

Abstract

IntroductionBoth developing and developed nations have made the creation of innovative wound-healing nanomaterials based on natural extracts a top research goal. The objective of this research was to create a gel containing collagen nanoparticles and evaluate its therapeutic potential for skin lesions. MethodsCollagen nanoparticles from fish scales were produced for the first time using desolvation techniques. Using Fourier transform infrared spectroscopy (FTIR), the structure of the isolated collagen and its similarities to collagen type 1 were identified. The surface morphology of the isolated collagen and its reformulation into nanoparticles were examined using transmission and scanning electron microscopy. Human skin fibroblast cells were employed to examine the cytotoxicity of the nanomaterials, and an experimental model was used to evaluate the wound healing capability. ResultsCollagen nanoparticles formulation was confirmed using FTIR, SEM and TEM analysis. Cytotoxicity studies demomstrated that the manufactured nanoparticles have minor toxicity at high concentrations on human skin fibroblast. Histological investigation proved that the fabricated fish scale collagen nanoparticles promoted the healing process in comparison to the saline group. ConclusionThe fabricated product is a highly influential wound healing product that can be applicable for commercial use. The nanoscale size of collagen nanoparticles, make them interesting candidates for biological applications. Key Summary PointsO_LIThe goal of this research was to create natural, effective wound remedies that could lower health-care costs while also providing pain relief and, ultimately, effective scar repair. C_LIO_LICollagen nanoparticles can be synthesized from fish scale utilizing various nanotechnology-based approaches to stimulate skin cell proliferation and promote wound healing. C_LIO_LICollagen nanoparticles have a rough surface, have a negative potential, and can be used for drug delivery and wound healing. C_LIO_LIHistological and macroscopical analysis showed that the synthesized nanoparticles promoted faster wound healing. C_LI

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ghareeb, A., Shalaby, M.. 2023-02-21. Nanoparticles of bioactive natural collagen for wound healing: Experimental approach. https://doi.org/10.1101/2023.02.21.529363

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Gene expression noise is reduced in communicating synthetic cell populations

A major goal in bottom-up synthetic biology is the construction of multicellular synthetic systems capable of coordinated and robust collective behaviours. However, robustness is often limited by noise and variability arising from increased molecular complexity. Whilst communication has been implemented in synthetic multi-cellular systems, the ability for communication to suppress cell free gene expression variability in populations of synthetic cells remain unexplored. To address this, we encapsulated the Lux and Las quorum sensing gene circuits in lipid vesicles under cell-free conditions to test the effect of communication on reducing cell-free gene expression variability across the population. Our results show that communication, limiting expression resources, and membrane surface effects can reduce gene expression variability. Resource limited Gillespie simulations for transcription and translation show that communication-mediated coupling reduces population-level expression noise under constrained and excess resource conditions. Together, our work provides simple strategies to reduce gene expression variability and thereby improve robustness in synthetic multicellular systems, an important criteria for the future applications of synthetic cells.

synthetic biology↗

Boolean Logic-responsive FRET Biosensors via Genetically Encoded Autonomous Compilation

Forster resonance energy transfer (FRET) is commonly used to monitor protein-protein interactions in situ. The high spatiotemporal resolution and facile implementation inside complex molecular environments have spearheaded FRET's widespread adoption in biosensing. Despite these advantages, current FRET biosensors are largely restricted to the detection of the presence/absence of individual inputs and are thus unable to sense several multiplexable inputs simultaneously within complex milieu of biological environments. In this work, we introduce a generalizable strategy to construct genetically encoded protein-based FRET biosensors capable of recognizing multiple inputs following Boolean logic-type (YES/OR/AND) operations. These topologically specified FRET sensors powerfully expand the input capacity in sensing protein-protein interactions while providing a user-programmable platform for monitoring heterogeneous biological activities both in vitro and in living cells.

synthetic biology↗

AI-Guided Multi-Objective Engineering of Glucoamylase Enables Acidification-Free Starch Saccharification

Glucoamylase is essential for industrial starch saccharification, but the limited thermostability and near-neutral pH tolerance of fungal glucoamylases necessitate cooling and acidification of liquefied starch. Here, we developed an artificial intelligence-guided strategy to simultaneously improve the thermostability, pH tolerance, and catalytic activity of glucoamylase from Penicillium oxalicum (PoGA). Two property-specific machine-learning models, CASPE-T and CASPE-A, identified substitutions associated with thermostability and pH tolerance, respectively. Experimental screening identified beneficial substitutions in 11 of 21 CASPE-T and 12 of 22 CASPE-A candidates. Folding-energy-guided recombination integrated the two traits while maintaining structural compatibility. The optimal variant, PoGA T513E/Q305N, exhibited 2.21-fold higher specific activity than the wild type, with half-life extended from 22.3 to 57.9 min at 60 degrees C and from 16.6 to 64.7 min at pH 8.0. Molecular dynamics simulations attributed these improvements to reinforcement of high-occupancy hydrogen-bonding networks, suppression of conformational fluctuations in the linker and carbohydrate-binding module, enhanced long-range dynamic coordination, and preservation of a compact catalytic architecture. At 60 degrees C and pH 6.5 without acidification, PoGA T513E/Q305N produced 219.9 g/L glucose and achieved 89.1% starch conversion, 31.4% higher than the wild type. This work provides an efficient framework for multi-objective enzyme engineering and sustainable starch biorefining.

synthetic biology↗