SynBioNanoDesign: pioneering targeted drug delivery with engineered nanomaterials

Journal of Nanobiotechnology, Journal Year: 2025, Volume and Issue: 23(1)

Published: March 6, 2025

Synthetic biology and nanotechnology fusion represent a transformative approach promoting fundamental clinical biomedical science development. In SynBioNanoDesign, biological systems are reimagined as dynamic programmable materials to yield engineered nanomaterials with emerging specific functionalities. This review elucidates comprehensive examination of synthetic biology's pivotal role in advancing for targeted drug delivery systems. It begins exploring the synergy between nanotechnology, then highlights current landscape applications. Subsequently, discusses design novel informed by principles, focusing on expounding tools potential developing advanced nanomaterials. Afterward, research advances innovative through were systematically summarized, emphasizing integration genetic circuitry program nanomaterial responses. Furthermore, challenges, weaknesses opportunities, prospective directions, ethical societal implications SynBioNanoDesign elucidated. Finally, summarizes impact that may have drug-delivery technologies future.

Language: Английский

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Utilization of machine learning approach for production of optimized PLGA nanoparticles for drug delivery applications

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 14, 2025

This study investigates utilization of machine learning for the regression task predicting size PLGA (Poly lactic-co-glycolic acid) nanoparticles. Various inputs including category and numeric were considered building model to predict optimum conditions preparation nanosized particles drug delivery applications. The proposed methodology employs Leave-One-Out (LOO) categorical feature transformation, Local Outlier Factor (LOF) outlier detection, Bat Optimization Algorithm (BA) hyperparameter optimization. A comparative analysis compares K-Nearest Neighbors (KNN), ensemble methods such as Bagging Adaptive Boosting (AdaBoost), novel Small-Size Bat-Optimized KNN Regression (SBNNR) model, which uses generative adversarial networks deep extraction improve performance on sparse datasets. Results demonstrate that ADA-KNN outperforms other models Particle Size prediction with a test R² 0.94385, while SBNNR achieves superior accuracy in Zeta Potential 0.97674. These findings underscore efficacy combining advanced preprocessing, optimization, techniques robust modeling. contributions this work include development validation BA's optimization capabilities, comprehensive evaluation methods. method provides reliable framework using material science applications, particularly nanoparticle characterization.

Language: Английский

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Redefining cancer photodynamic therapy with gold nanoparticles

Photochemistry and Photobiology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Despite advancements made in treatment options, cancer continues to be one of the leading causes death worldwide. Photodynamic therapy (PDT) has gained attention as a minimally invasive and highly selective option for cancer. However, challenges due hydrophobicity photosensitizers their poor tumor selectivity have limited use therapy. Recent developments nanotechnology, particularly gold nanoparticles (AuNPs), help overcome these challenges. AuNPs provide stable biocompatible platform deliver photosensitizers, improving solubility, stability, ability target tumors while reducing side effects. Functionalized take advantage mechanisms like enhanced permeability retention (EPR) effect active targeting, reactive oxygen species (ROS) production overall therapeutic efficacy. This review explores innovations AuNP-based PDT systems, including ligand-functionalized nanoparticles, bioresponsive coatings, theranostic approaches that combine imaging with By delving into important aspects synthesis, characterization, functionalization, we show how improve delivery performance photosensitizers. For instance, systems functionalized prostate-specific membrane antigen (PSMA) shown increased precision efficacy vivo. These are paving way more targeted safer treatments, establishing promising approach developing effective oncological therapies greater fewer

Language: Английский

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Advances in Nanoparticles in Targeted Drug Delivery- A Review

Results in Surfaces and Interfaces, Journal Year: 2025, Volume and Issue: unknown, P. 100529 - 100529

Published: April 1, 2025

Language: Английский

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