Resveratrol-Laden Nano-Systems in the Cancer Environment: Views and Reviews

Muhammad Sarfraz1, Mosab Arafat1, Syeda Huma H Zaidi2

  • 1College of Pharmacy, Al Ain University, Al Ain Campus, Al Ain P.O. Box 64141, United Arab Emirates.

Cancers
|September 28, 2023
PubMed

Insights

Resveratrol nano-formulations improve drug delivery for cancer treatment. Encapsulating resveratrol in nanocarriers enhances stability, bioavailability, and therapeutic potential, overcoming pharmacokinetic limitations for clinical applications.

Area of Science:

  • Oncology
  • Nanotechnology
  • Pharmacology

Background:

  • Cancer arises from genetic alterations leading to abnormal cell multiplication and metastasis.
  • Resveratrol (RES) is a natural compound with antioxidant and anti-cancer properties, but its clinical use is limited by poor pharmacokinetics.
  • Nanocarrier encapsulation addresses RES's bioavailability and stability issues.

Purpose of the Study:

  • To review studies on resveratrol nano-formulations for various cancer types.
  • To highlight improvements in drug stability, pharmacokinetics, pharmacodynamics, and toxicity.
  • To provide an industrial perspective on resveratrol nano-formulations, including patent literature.

Main Methods:

  • Compilation of research on resveratrol nano-formulations.
  • Analysis of studies focusing on enhanced drug properties and therapeutic outcomes.
  • Inclusion of recent patent literature and discussion of future prospects.

Main Results:

  • Nano-encapsulation significantly improves resveratrol's stability and bioavailability.
  • Resveratrol nano-formulations demonstrate increased therapeutic potential and reduced toxicity.
  • Nanocarriers enable modulated drug release and achievement of therapeutic plasma concentrations.

Conclusions:

  • Resveratrol nano-formulations offer a promising strategy for enhancing anti-cancer drug efficacy.
  • Addressing pharmacokinetic challenges with nanotechnology is crucial for clinical translation.
  • Future research should explore machine learning and pharmacometrics for optimizing resveratrol delivery.

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