Literature DB >> 20428328

In Vivo Simulations of the Intravenous Dynamics of Submicron Particles of pH-Responsive Cationic Hydrogels in Diabetic Patients.

Terry G Farmer1, Thomas F Edgar, Nicholas A Peppas.   

Abstract

A mathematical model describing glucose-dependent pH swelling and insulin release is developed for pH-sensitive cationic hydrogels in which glucose oxidase and catalase have been immobilized and insulin imbibed. Glucose based swelling and insulin release are simulated for intravenously injected particles at various design conditions. The effects of particle size, the number of injected particles, insulin loading, enzyme loading, monomer functional group loading and pK(a), and hydrogel crosslinking ratio on insulin release and glucose sensitivity are investigated in order to optimally design the device for use. Increased insulin infusion is shown to result from increasing the number of circulating gels, increasing the collapsed particle size, or by decreasing the crosslinking ratio of the system. Release duration is shown to be dependent only upon the particle size and the achievable diffusion coefficient of the system. Glucose sensitivity, as measured by gluconic acid production and by the system pH, are functions of glucose oxidase loading and the concentration and pK(a) of the monomer used in the hydrogel.The necessarily submicron particle size results in very rapid device insulin depletion. When the device is designed without considering constraints, the resulting release profile resembles that of an on/off switching mechanism. Future work will focus on simulations of swelling and release when the device is implanted in an alternative administration site.

Entities:  

Year:  2008        PMID: 20428328      PMCID: PMC2860336          DOI: 10.1021/ie070957b

Source DB:  PubMed          Journal:  Ind Eng Chem Res        ISSN: 0888-5885            Impact factor:   3.720


  7 in total

1.  THE INTRAVENOUS GLUCOSE TOLERANCE TEST.

Authors:  E L Lozner; A W Winkler; F H Taylor; J P Peters
Journal:  J Clin Invest       Date:  1941-09       Impact factor: 14.808

Review 2.  Opsonization, biodistribution, and pharmacokinetics of polymeric nanoparticles.

Authors:  Donald E Owens; Nicholas A Peppas
Journal:  Int J Pharm       Date:  2005-11-21       Impact factor: 5.875

3.  Glucose-sensitivity of glucose oxidase-containing cationic copolymer hydrogels having poly(ethylene glycol) grafts.

Authors:  K Podual; F J Doyle; N A Peppas
Journal:  J Control Release       Date:  2000-06-15       Impact factor: 9.776

4.  Dynamic behavior of glucose oxidase-containing microparticles of poly(ethylene glycol)-grafted cationic hydrogels in an environment of changing pH.

Authors:  K Podual; F J Doyle; N A Peppas
Journal:  Biomaterials       Date:  2000-07       Impact factor: 12.479

5.  A theoretical model of erosion and macromolecular drug release from biodegrading microspheres.

Authors:  R P Batycky; J Hanes; R Langer; D A Edwards
Journal:  J Pharm Sci       Date:  1997-12       Impact factor: 3.534

6.  Quantitative estimation of insulin sensitivity.

Authors:  R N Bergman; Y Z Ider; C R Bowden; C Cobelli
Journal:  Am J Physiol       Date:  1979-06

7.  Blood glucose control by intermittent loop closure in the basal mode: computer simulation studies with a diabetic model.

Authors:  S M Furler; E W Kraegen; R H Smallwood; D J Chisholm
Journal:  Diabetes Care       Date:  1985 Nov-Dec       Impact factor: 19.112

  7 in total
  3 in total

Review 1.  Micro- and nanotechnologies for intelligent and responsive biomaterial-based medical systems.

Authors:  Mary Caldorera-Moore; Nicholas A Peppas
Journal:  Adv Drug Deliv Rev       Date:  2009-09-14       Impact factor: 15.470

2.  Insulin Release Dynamics from Poly(diethylaminoethyl methacrylate) Hydrogel Systems.

Authors:  Steve R Marek; Nicholas A Peppas
Journal:  AIChE J       Date:  2013-10-01       Impact factor: 3.993

Review 3.  Defining and designing polymers and hydrogels for neural tissue engineering.

Authors:  Emily R Aurand; Kyle J Lampe; Kimberly B Bjugstad
Journal:  Neurosci Res       Date:  2011-12-17       Impact factor: 3.304

  3 in total

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