4.7 Review

Meta-analysis of In Vitro Drug-Release Parameters Reveals Predictable and Robust Kinetics for Redox-Responsive Drug-Conjugated Therapeutic Nanogels

Journal

ACS APPLIED NANO MATERIALS
Volume 4, Issue 5, Pages 4256-4268

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsanm.1c00170

Keywords

drug delivery; nanogel; drug-release kinetics; controlled drug release; burst release; redox-responsive; drug-release modeling; meta-analysis

Funding

  1. Department of Chemistry, Imperial College London

Ask authors/readers for more resources

Nanogels are a type of drug delivery system composed of cross-linked polymer networks with different characteristics and functionalities for the delivery of small molecule and macromolecular therapeutics. The stimuli-responsive cross-linkers in nanogels enable controlled release at target sites to improve therapeutic efficiency. Small molecule drugs conjugated to nanogels demonstrate diminished burst release, leading to more predictable release profiles.
Therapeutic potential and clinical applications of many pharmacologically active compounds are limited by their poor pharmacokinetics upon administration. This challenge has inspired the design of a wide range of nanoscale drug-delivery systems with different physicochemical characteristics and functionalities. Nanogels are a type of polymeric nanoparticle that are composed of dispersed networks of cross-linked polymers, and they have been successfully implemented in the drug delivery of small molecule and macromolecular therapeutics. Nanogels are often modified with stimuli-responsive cross-linkers to enable controlled release at target sites and improve the therapeutic efficiency of the formulation. We conducted a systematic review and subgroup and multivariate analysis of in vitro drug-release parameters of redox-responsive nanogels and discovered that small-molecule drugs conjugated to nanogels demonstrate diminished burst release, which may yield more predictable release profiles. This study demonstrates the potential of integration of computational analysis to deconvolute experimental data in drug delivery to improve the rational design of nanoformulations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available