Purpose: Development of pharmaceutical dosage forms of natural products has gained great interest recently. Propolis is a natural product with various active compounds and multiple pharmacological activities. Its resinous nature and low bioavailability were obstacles in the optimum use of this magnificent natural product. Aim: This study evaluates the effect of using liposomes as a drug delivery system on the enhancement of the cytotoxic effect of propolis on squamous cell carcinoma cell lines (Hep-2) of head and neck. Methods: An optimized liposomal formulation of propolis was prepared using the conventional thin film hydration method 1, 2. The prepared (Hep-2) cell line was treated with different concentrations of propolis and optimized propolis liposomes for 24 h. The effect of both propolis and propolis liposomes on cell line was investigated using MTT assay, cytological examination, and nuclear morphometric analysis. The effect of the drugs on the cell apoptosis was evaluated using Annexin V. Results: The findings revealed that both propolis and propolis liposomes have a cytotoxic effect on Hep-2 cell line through induction of apoptosis. The effect was dose dependent. However, a statistically significant enhancement in propolis-mediated apoptosis on Hep-2 cells was elucidated due to encapsulation within the prepared liposomes. Conclusion: Liposome is a powerful tool for enhancing the cytotoxicity of propolis against Hep-2 cell line.
Liver cancer is a prevalent form of carcinoma worldwide. A novel chitosan-coated optimized formulation capped with irradiated silver nanoparticles (INops) was fabricated to boost the anti-malignant impact of rosuvastatin calcium (RC). Using a 23-factorial design, eight formulations were produced using the solvent evaporation process. The formulations were characterized in vitro to identify the optimal formulation (Nop). The FTIR spectra showed that the fingerprint region is not superimposed with that of the drug; DSC thermal analysis depicted a negligible peak shift; and XRPD diffractograms revealed the disappearance of the typical drug peaks. Nop had an entrapment efficiency percent (EE%) of 86.2%, a polydispersity index (PDI) of 0.254, a zeta potential (ZP) of −35.3 mV, and a drug release after 12 h (Q12) of 55.6%. The chitosan-coated optimized formulation (CS.Nop) showed significant mucoadhesive strength that was 1.7-fold greater than Nop. Physical stability analysis of CS.Nop revealed negligible alterations in VS, ZP, PDI, and drug retention (DR) at 4 °C. The irradiated chitosan-coated optimized formulation capped with silver nanoparticles (INops) revealed the highest inhibition effect on carcinoma cells (97.12%) compared to the chitosan-coated optimized formulation (CS.Nop; 81.64) and chitosan-coated optimized formulation capped with silver nanoparticles (CS.Nop.AgNPs; 92.41). The bioavailability of CS-Nop was 4.95-fold greater than RC, with a residence time of about twice the free drug. CS.Nop has displayed a strong in vitro–in vivo correlation with R2 0.9887. The authors could propose that novel INop could serve as an advanced platform to improve oral bioavailability and enhance hepatic carcinoma recovery.
Transdermal drug delivery (TDD) bypasses first-pass metabolism and improves patient compliance. However, conventional hydrogels are static and cannot adapt to dynamic physiological conditions. Stimuli-responsive photonic hydrogels overcome these limitations by integrating photonic triggers (e.g., photoisomerization, photothermal conversion) with biochemical sensors (e.g., glucose, reactive oxygen species (ROS), enzymes). These systems employ Boolean logic operations to achieve conditional, multi-input gated release. Proof-of-concept studies demonstrate a three-to-five-fold increase in skin penetration, > 70% tumor volume reduction with lower drug doses, and accelerated wound closure compared to passive hydrogels. Embedding these platforms into microneedles and wearable electronics enables real-time, feedback-controlled dosing, while artificial intelligence (AI) offers predictive, closed-loop optimization. Despite their promise, clinical translation requires overcoming challenges in biocompatibility, manufacturing scalability, and regulatory classification. A roadmap emphasizing standardized safety testing, modular fabrication, and AI-guided prototyping is essential. Photonic hydrogels thus mark a paradigm shift, advancing transdermal systems from static depots to adaptive, autonomous therapeutics for personalized medicine. Graphical Abstract
27 February 2026 in Journal of Pharmaceutical Innovation