Literature DB >> 26085565

Preclinical Evaluation of Poly(HEMA-co-acrylamide) Hydrogels Encapsulating Glucose Oxidase and Palladium Benzoporphyrin as Fully Implantable Glucose Sensors.

Rachel M Unruh1, Jason R Roberts1, Scott P Nichols2, Soya Gamsey2, Natalie A Wisniewski2, Michael J McShane3.   

Abstract

BACKGROUND: Continuous glucose monitors (CGMs) require percutaneous wire probes to monitor glucose. Sensors based on luminescent hydrogels are being explored as fully implantable alternatives to traditional CGMs. Our previous work investigated hydrogel matrices functionalized with enzymes and oxygen-quenched phosphors, demonstrating sensitivity to glucose, range of response, and biofouling strongly depend on the matrix material. Here, we further investigate the effect of matrix composition on overall performance in vitro and in vivo.
METHODS: Sensors based on three hydrogels, a poly(2-hydroxyethyl methacrylate) (pHEMA) homopolymer and 2 poly(2-hydroxyethyl methacrylate-co-acrylamide) (pHEMA-co-AAm) copolymers, were compared. These were used to entrap glucose oxidase (GOx), catalase, and an oxygen-sensitive benzoporphyrin phosphor. All sensor formulations were evaluated for glucose response and stability at physiological temperatures. Selected sensors were then evaluated as implanted sensors in a porcine model challenged with glucose and insulin. The animal protocol used in this study was approved by an IACUC committee at Texas A&M University.
RESULTS: PHEMA-co-AAm copolymer hydrogels (75:25 HEMA:AAm) yielded the most even GOx and dye dispersion throughout the hydrogel matrix and best preserved GOx apparent activity. In response to in vitro glucose challenges, this formulation exhibited a dynamic range of 12-167 mg/dL, a sensitivity of 1.44 ± 0.46 µs/(mg/dL), and tracked closely with reference capillary blood glucose values in vivo.
CONCLUSIONS: The hydrogel-based sensors exhibited excellent sensitivity and sufficiently rapid response to the glucose levels achieved in vivo, proving feasibility of these materials for use in real-time glucose tracking. Extending the dynamic range and assessing long-term effects in vivo are ongoing efforts.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  biomaterials; biosensing; enzymes; hydrogel; implant; luminescence

Mesh:

Substances:

Year:  2015        PMID: 26085565      PMCID: PMC4667330          DOI: 10.1177/1932296815590439

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  24 in total

1.  Glucose monitoring using implanted fluorescent microspheres.

Authors:  M J McShane; R J Russell; M V Pishko; G L Coté
Journal:  IEEE Eng Med Biol Mag       Date:  2000 Nov-Dec

2.  Encapsulation of glucose oxidase and an oxygen-quenched fluorophore in polyelectrolyte-coated calcium alginate microspheres as optical glucose sensor systems.

Authors:  J Quincy Brown; Rohit Srivastava; Michael J McShane
Journal:  Biosens Bioelectron       Date:  2005-07-15       Impact factor: 10.618

3.  A fluorescence-based glucose biosensor using concanavalin A and dextran encapsulated in a poly(ethylene glycol) hydrogel.

Authors:  R J Russell; M V Pishko; C C Gefrides; M J McShane; G L Coté
Journal:  Anal Chem       Date:  1999-08-01       Impact factor: 6.986

4.  Long-term in vivo glucose monitoring using fluorescent hydrogel fibers.

Authors:  Yun Jung Heo; Hideaki Shibata; Teru Okitsu; Tetsuro Kawanishi; Shoji Takeuchi
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-01       Impact factor: 11.205

5.  Projection of diabetes burden through 2050: impact of changing demography and disease prevalence in the U.S.

Authors:  J P Boyle; A A Honeycutt; K M Narayan; T J Hoerger; L S Geiss; H Chen; T J Thompson
Journal:  Diabetes Care       Date:  2001-11       Impact factor: 19.112

Review 6.  Real-time continuous glucose monitoring system for treatment of diabetes: a systematic review.

Authors:  L B E A Hoeks; W L Greven; H W de Valk
Journal:  Diabet Med       Date:  2011-04       Impact factor: 4.359

7.  In vitro and in vivo characterization of porous poly-L-lactic acid coatings for subcutaneously implanted glucose sensors.

Authors:  H E Koschwanez; F Y Yap; B Klitzman; W M Reichert
Journal:  J Biomed Mater Res A       Date:  2008-12-01       Impact factor: 4.396

8.  Noninvasive imaging of the distribution in oxygen in tissue in vivo using near-infrared phosphors.

Authors:  S A Vinogradov; L W Lo; W T Jenkins; S M Evans; C Koch; D F Wilson
Journal:  Biophys J       Date:  1996-04       Impact factor: 4.033

9.  Current application of continuous glucose monitoring in the treatment of diabetes: pros and cons.

Authors:  Jeroen Hermanides; Moshe Phillip; J Hans DeVries
Journal:  Diabetes Care       Date:  2011-05       Impact factor: 19.112

10.  Economic costs of diabetes in the U.S. in 2012.

Authors: 
Journal:  Diabetes Care       Date:  2013-03-06       Impact factor: 19.112

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  6 in total

Review 1.  In Vivo Chemical Sensors: Role of Biocompatibility on Performance and Utility.

Authors:  Robert J Soto; Jackson R Hall; Micah D Brown; James B Taylor; Mark H Schoenfisch
Journal:  Anal Chem       Date:  2016-11-21       Impact factor: 6.986

2.  Inorganic-Organic Interpenetrating Network Hydrogels as Tissue-Integrating Luminescent Implants: Physicochemical Characterization and Preclinical Evaluation.

Authors:  Rachel M Unruh; Lindsey R Bornhoeft; Scott P Nichols; Natalie A Wisniewski; Michael J McShane
Journal:  Macromol Biosci       Date:  2021-12-10       Impact factor: 4.979

3.  In Vivo Biosensing: Progress and Perspectives.

Authors:  Guoxin Rong; Simon R Corrie; Heather A Clark
Journal:  ACS Sens       Date:  2017-02-24       Impact factor: 7.711

Review 4.  Modulating the foreign body response of implants for diabetes treatment.

Authors:  Bhushan N Kharbikar; Gauree S Chendke; Tejal A Desai
Journal:  Adv Drug Deliv Rev       Date:  2021-01-21       Impact factor: 17.873

5.  Composite Hydrogels with Engineered Microdomains for Optical Glucose Sensing at Low Oxygen Conditions.

Authors:  Lindsey R Bornhoeft; Aniket Biswas; Michael J McShane
Journal:  Biosensors (Basel)       Date:  2017-01-22

6.  Monte Carlo method for assessment of a multimodal insertable biosensor.

Authors:  Jesse Fine; Michael J McShane; Gerard L Coté
Journal:  J Biomed Opt       Date:  2022-05       Impact factor: 3.758

  6 in total

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