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Novel Gellan Gum-Based In Situ Nanovesicle Formulation of Docetaxel for Its Localized Delivery Using Depot Formation.

Amrinder SinghShubham ThakurNarpinder SinghSatwinderjeet KaurSubheet Kumar Jain
Published in: AAPS PharmSciTech (2021)
In the present study, different in situ hydrogel formulations of docetaxel (DTX) based on biocompatible polymers such as Hyaluronic Acid (HA), poloxamer-407, chitosan and gellan gum were formulated to increase its therapeutic efficacy and reduce toxicity. DTX was loaded in nanovesicles (20 mg/mL equivalent to commercial strength) and further incorporated into the hydrogel bases to possess a dual rationale of protection against burst release and enhanced solubility of the drug. The optimized hydrogel formulation (NV-TPGS-3-GG-4) showed ideal rheological behavior and in situ characteristics at 37±0.5°C with sustained release of more than 144 h. The optimized formulation had instant in vitro gelation (2.8±0.3 min) with good injectability in comparison to the conventional commercial DTX injectable formulation having instant release (<2 h). Additionally, developed formulation exhibited an improved biodisponibility (25.1±0.2 h) in comparison to the commercially available formulation (1.7±0.1 h). The Solid Tumor Carcinoma model in Swiss albino mice revealed that the optimized formulation (based on gellan gum) showed better tumor reduction (85.7±1.2%) and lower toxicity as compared to the commercial formulation (77.3±1.3%). Pharmacokinetic and biodistribution studies demonstrated 3 to 4 times higher localization of drug in tumors. Our findings suggested that injectable gellan gum-based in situ hydrogel formulation can be an effective delivery system for DTX with enhanced solubility, reduced toxicity, and better targeting to the tumors for improved therapeutics.Graphical abstract.
Keyphrases
  • drug delivery
  • hyaluronic acid
  • cancer therapy
  • drug release
  • wound healing
  • emergency department
  • oxidative stress
  • small molecule
  • metabolic syndrome
  • radiation therapy
  • locally advanced