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Related Experiment Videos

Enzymatically controlled drug delivery.

F Fischel-Ghodsian1, L Brown, E Mathiowitz

  • 1Massachusetts Institute of Technology, Department of Applied Biological Sciences, Cambridge, 02139.

Proceedings of the National Academy of Sciences of the United States of America
|April 1, 1988
PubMed
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This study presents a novel feedback-controlled drug delivery system for polypeptide drugs. The system adjusts insulin release in response to glucose levels, demonstrating potential for improved diabetes management.

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Pharmacology

Background:

  • Polymeric controlled-release systems are crucial for drug delivery.
  • Feedback control mechanisms are needed to optimize drug release kinetics.
  • Polypeptide drugs, like insulin, require precise release profiles.

Purpose of the Study:

  • To develop and test a feedback-controlled system for polypeptide drug release.
  • To utilize a pH-responsive mechanism triggered by an enzymatic reaction.
  • To demonstrate glucose-responsive insulin release from a polymeric matrix.

Main Methods:

  • Incorporation of a polymer-bound enzyme (glucose oxidase) and a polypeptide drug (insulin) into an ethylene/vinyl acetate copolymer.
  • Utilizing the enzymatic conversion of glucose to gluconic acid to alter local pH.

Related Experiment Videos

  • Measuring insulin release in response to varying glucose concentrations in vitro and in vivo (diabetic rats).
  • Main Results:

    • Enzymatic reaction led to a decrease in pH within the polymer microenvironment.
    • Insulin release rate was modulated by changes in pH, which affected drug solubility.
    • Demonstrated reversible and glucose-dependent insulin release in vitro over several weeks.
    • Observed a significant increase in insulin concentration in vivo within 30 minutes of glucose infusion in diabetic rats.

    Conclusions:

    • The developed system successfully achieved feedback control of insulin release based on glucose concentration.
    • This pH-responsive, enzyme-triggered approach shows promise for creating intelligent drug delivery systems.
    • The findings support the potential of this technology for improved therapeutic outcomes in conditions like diabetes.