Garry P. Duffy’s research while affiliated with Royal College of Surgeons in Ireland and other places

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Publications (165)


Figure 1
HA-TA Hydrogel formulations (HA-TA and crosslinker concentrations)
Hyaluronic acid hydrogels: Establishing a sustained delivery system for extracellular vesicles
  • Preprint
  • File available

January 2025

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30 Reads

Yashna Chabria

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Emma McDermott

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Extracellular vesicles (EVs) are versatile transporters of genetic cargo with enormous potential in the therapeutic setting. Scalable production of EVs, and routes to overcome rapid clearance are required. Biocompatible hydrogels may support precise, localized delivery of EVs to target sites. This study aimed to establish sustained production of EVs in a scalable 3D dynamic bioreactor and to fabricate hydrogels using tyramine-modified hyaluronic acid (HA-TA) to study EV integration and release patterns. MDA-MB-231 cells transduced with lentiviral GFP fused with CD63, were cultured in a 20kD dynamic hollow fiber bioreactor and GFP-EVs harvested over five weeks. GFP-EVs were characterized by Nanoparticle Tracking Analysis(NTA), Western Blot(WB) and Transmission Electron Microscopy(TEM). Tyramine modified hyaluronic acid(HA-TA) hydrogels were formulated via enzymatic crosslinking using hydrogen peroxide and horseradish peroxidase, to investigate EV release patterns in static and dynamic conditions. Hydrogel swelling was recorded at 1-72 hrs and hydrogels were loaded with GFP-EVs to assess distribution and release by Scanning Electron Microscopy(SEM) and NTA respectively. GFP-EV uptake was assessed by confocal microscopy. Longitudinal GFP expression was demonstrated in transduced cells and released EVs throughout bioreactor culture. TEM and NTA demonstrated successful isolation of EVs of 30-200 nm in size with intact lipid bilayers (average 4x109 EVs/harvest). Initial harvests exhibited subpopulations of larger EVs, which disappeared upon serum withdrawal. WB verified the presence of EV markers CD63, TSG101, and CD81. HA-TA hydrogels were successfully formed and swelling assays revealed the requirement for higher concentrations of HA-TA and crosslinkers for scaffold stability and continued swelling. GFP-EVs were successfully incorporated into the hydrogels with variable release patterns observed over time, depending on EV concentration and hydrogel formulation. EV clusters in hydrogels were visualized by SEM. Investigation of GFP-EV release patterns under static and dynamic conditions highlighted a significant increase in release under fluid flow conditions. Efficient transfer of released EVs to recipient cells was also demonstrated in vitro. The data demonstrate the potential for scalable production of engineered EVs in serum free conditions and subsequent incorporation into HA-TA hydrogels for sustained release. These biocompatible hydrogels hold promise for tuneable delivery of therapeutic EVs in a variety of disease settings.

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A preliminary ex vivo diffusion tensor imaging study of distinct aortic morphologies

January 2025

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6 Reads

Journal of Anatomy

Changes in the microstructure of the aortic wall precede the progression of various aortic pathologies, including aneurysms and dissection. Current clinical decisions with regards to surgical planning and/or radiological intervention are guided by geometric features, such as aortic diameter, since clinical imaging lacks tissue microstructural information. The aim of this proof‐of‐concept work is to investigate a non‐invasive imaging method, diffusion tensor imaging (DTI), in ex vivo aortic tissue to gain insights into the microstructure. This study examines healthy, aneurysm and a type B chronic dissection aortae, via DTI. DTI‐derived metrics, such as the fractional anisotropy, mean diffusivity, helical angle and tractography, were examined in each morphology. The results from this work highlighted distinct differences in fractional anisotropy (healthy, 0.24 ± 0.008; aneurysmal, 0.19 ± 0.002; dissected, 0.13 ± 0.006) and a larger variation in the helical angle in the dissected aorta compared to healthy (39.28 ± 11.93° vs. 26.12 ± 4.60°, respectively). These differences were validated by histological characterisation. This study demonstrates the sensitivity of DTI to pathological changes in aortic tissue, highlighting the potential of this methodology to provide improved clinical insight.



An overview of the mechanoresponsive alginic acid‐carboxymethylcellulose hydrogel and SRDD device. A) Schematic of SRDD device. B) Mechanoresponsive AA‐CMC hydrogel electrostatically sequestering a cationic protein. C) SRDD device loaded with AA‐CMC hydrogel electrostatically sequestering a cationic protein. Actuation of SRDD device compresses hydrogel to release protein locally in a controlled manner through the porous membrane of the SRDD device. DAA, dialdehyde alginic acid; DCMC, dialdehyde carboxymethylcellulose; SRDD, soft robotic drug delivery.
Physiochemical analysis of AA‐CMC hydrogel. A) Fourier transform infrared spectra of AA, CMC, DAA, and DCMC, B) X‐ray diffraction patterns of AA, CMC, DAA, and DCMC, C) nuclear magnetic resonance spectra of AA, CMC, DAA, and DCMC, D) zeta potential of AA, CMC, DAA, and DCMC, E) amplitude sweep of different formulations of AA‐CMC hydrogel, F) frequency sweep of different formulations of AA‐CMC hydrogel, G) Young's modulus calculated between 10 and 20% strain of different formulations of AA‐CMC hydrogel, H) maximum force required to produce 40% compression of AA‐CMC hydrogel formulation 2, I) gelation of AA‐CMC hydrogel (using methylene blue for visualization). N = 3 per group with data presented as means ± standard deviation, one‐way ANOVA, *p < 0.05. AA, alginic acid; CMC, carboxymethylcellulose; DAA, dialdehyde alginic acid; DCMC, dialdehyde carboxymethylcellulose; G’, storage modulus; G’’, loss modulus.
Optimization of actuation regime parameters demonstrates that FITC‐DEAE‐Dextran release from SRDD system is tunable. Optimization of actuation regime parameters A) pressure, B) ramp, and C) cycle number. N = 3 per group with data presented as means only. D) Effect of charge on Dextran release. N = 3 per group with data presented as means ± standard deviation, One‐way ANOVA, ***p < 0.0005. E) Optimized actuation profile of 10 psi, 5 s triangle ramp, 10 cycles. F) Controlled release of FITC‐DEAE‐Dextran with the combination of SRDD device, AA‐CMC based hydrogel and actuation. N = 3 per group with data presented as means ± standard deviation. One‐way ANOVA, *p < 0.05, **p < 0.01, ***p < 0.005, ****p < 0.001. AA, alginic acid; CMC, carboxymethylcellulose; DEAE, Diethylaminoethyl; FITC, Fluorescein isothiocyanate; SRDD, soft robotic drug delivery.
Actuation‐mediated spatiotemporal release of bioactive VEGF stimulates angiogenesis in diabetic rats. A) One SRDD device containing VEGF‐AA‐CMC hydrogel was subcutaneously implanted in 13 rats with implanted devices actuated once daily on day 0, 1, 2, 3, 4, 5, 6, and 7 in the test group. B) Representative images of αSMA staining of vasculature (arrows) surrounding ‐Actuation (top panel) and +Actuation devices (bottom panel), scale bar = 50 µm. C) CD31+ blood vessel number per mm², D) CD31+ radial diffusion distances, E) percentage of total blood vessels expressing αSMA for analysis of vessel stability and maturity. ‐Actuation, N = 3; +Actuation, N = 4 with data represented as means ± standard deviation, unpaired t‐test with Welch's correction, *p < 0.05. F) α‐SMA+ stained blood vessels. N > 200 blood vessels/group with data represented as means only. G) αSMA+ blood vessel diameters, median blood vessel diameter ‐Actuation 5.49 µm and +Actuation 7.12 µm. N > 200 blood vessels/group with data represented as means ± standard deviation, unpaired t‐test with Welch's correction, *p < 0.05. AA, alginic acid; CMC, carboxymethylcellulose; BGL, blood glucose level; SRDD, soft robotic drug delivery; STZ, streptozotocin; VEGF, vascular endothelial growth factor.
The SRDD system is designed to be implanted subcutaneously and will be connected to an externally worn minimized pneumatic actuator. The system will be used to release a variety of therapeutics which require spatiotemporal delivery to achieve therapeutic efficacy.
Actuation‐Mediated Compression of a Mechanoresponsive Hydrogel by Soft Robotics to Control Release of Therapeutic Proteins

December 2024

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48 Reads

Therapeutic proteins, the fastest growing class of pharmaceuticals, are subject to rapid proteolytic degradation in vivo, rendering them inactive. Sophisticated drug delivery systems that maintain protein stability, prolong therapeutic effects, and reduce administration frequency are urgently required. Herein, a mechanoresponsive hydrogel is developed contained within a soft robotic drug delivery (SRDD) device. In a step‐change from previously reported systems, pneumatic actuation of this system releases the cationic therapeutic protein Vascular Endothelial Growth Factor (VEGF) in a bioactive form which is required for therapeutic angiogenesis, the growth of new blood vessels, in numerous clinical conditions. The ability of the SRDD device to release bioactive VEGF in a spatiotemporal manner from the hydrogel is tested in diabetic rats – a model in which angiogenesis is difficult to stimulate. Daily actuation of the SRDD device in the diabetic rat model significantly increased cluster of differentiation 31+ (CD31+) blood vessel number (p = 0.0335) and the diameter of alpha‐smooth muscle actin+ (α‐SMA+) blood vessels (p = 0.0025) compared to passive release of VEGF from non‐actuated devices. The SRDD device combined with the mechanoresponsive hydrogel offers the potential to deliver an array of bioactive therapeutics in a spatiotemporal manner to mimic their natural release in vivo.


ECM protein treatment improves donor islet functionality in hypoxic conditions. Glucose‐stimulated insulin secretion (GSIS) assay results of donor islets treated with either DPBS as control (CTL), NID1, or DCN in A) normoxic and D) hypoxic conditions. Insulin secretion normalized by insulin content of the donor islets. Unpaired t‐test (N = 12, n ≥ 76), **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001. GSIS index as determined by the fold change in insulin secretion between the 2 and 20 mm glucose challenges in C) normoxic and E) hypoxic conditions. Unpaired t‐test (N = 12, n ≥ 76), *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001. GSIS assay results represented per donor in E) normoxic and F) hypoxic conditions. Percentage of donors showing functional GSIS responses in G) normoxic and H) hypoxic conditions. A GSIS index ≤ 1 is considered unresponsive and dysfunctional, a GSIS index >1 is considered responsive and functional.
ECM protein treatment reduces DNA fragmentation events in hypoxic conditions. A) Representative images and B) quantification of TUNEL⁺ cells to identify DNA fragmentation in donor islets under normoxic and hypoxic conditions. 2‐way ANOVA (N ≥ 5), ** p ≤ 0.01, **** p ≤ 0.0001. C) Representative images and D) quantification of caspase‐3⁺ cells to identify cells undergoing apoptosis in donor islets under normoxic and hypoxic. 2‐way ANOVA (N ≥ 6). Scale bars equal 50 µm.
FLIM results before and after lipofuscin removal of NADH component during low and high glucose incubation of normoxic and hypoxic donor islets. NADH readout A) before and B) after quartile outlier removal. Scale bar equals 50 µm. C) Lipofuscin outlier removal significanlty decreases χ² fitting value. Unpaired t‐test (N = 3, n ≥ 155), ****p < 0.0001. FLIM image analysis of D) NADH α1, E) FAD α1, and F) the optical redox ratio based on endogenous photon count of FAD / FAD+NADH in normoxia and hypoxia. Error bars represent standard deviation. Statistical significance above graphs: 3‐way ANOVA (N = 3, n ≥ 10), *p ≤ 0.05, **p ≤ 0.01. Statistical significance below graphs: 2‐way ANOVA (N = 3, n ≥ 10), *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001.
Next‐generation sequencing (NGS) identifies significant upregulation of genes involved in metabolic pathways upon protein treatment under hypoxic conditions. Differentially expressed genes of donor islets treated with the ECM proteins in hypoxia were compared to the normoxic control. A) 93 protein‐coding genes differentially expressed only in the NID1‐ and DCN‐treated hypoxic donor islets compared to normoxia were identified. B) GO term enrichment analysis mapped 53 of these genes to metabolic pathways, C) 24 of which were upregulated and D) 29 of which were downregulated. All genes are considered as significantly differentially expressed with a padjusted ≤ 0.05.
ECM Proteins Nidogen‐1 and Decorin Restore Functionality of Human Islets of Langerhans upon Hypoxic Conditions

November 2024

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33 Reads

Transplantation of donor islets of Langerhans is a potential therapeutic approach for patients with diabetes mellitus; however, its success is limited by islet death and dysfunction during the initial hypoxic conditions at the transplantation site. This highlights the need to support the donor islets in the days post‐transplantation until the site is vascularized. It was previously demonstrated that the extracellular matrix (ECM) proteins nidogen‐1 (NID1) and decorin (DCN) improve the functionality and survival of the β‐cell line, EndoC‐βH3, and the viability of human islets post‐isolation. To advance the use of these ECM proteins toward a clinical application and elucidate the mechanisms of action in primary islets, the study assesses the effects of ECM proteins NID1 and DCN on isolated human donor islets cultured in normoxic and hypoxic conditions. NID1‐ and DCN‐treatment restore β‐cell functionality of human donor islets in a hypoxic environment through upregulation of genes involved in glycolytic pathways and reducing DNA fragmentation in hypoxic conditions comparable to normoxic control islets. The results demonstrate that the utilization of NID1 or DCN with islets of Langerhans may have the potential to overcome the hypoxia‐induced cell death observed post‐transplantation and improve transplant outcomes.



Development of A 3D Lung Tumor Model For Cell Death Assessment in Microwave Ablation

August 2024

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33 Reads

Primary lung cancer is the leading cause of cancer‐related death worldwide. Recent statistics estimate 1.8 million new cases and 1.6 million deaths per year. Despite significant advances in surgery, chemotherapy, and radiotherapy, the 5‐year survival rate remains at just 18%. Thermal ablation is an established treatment that is safe and effective. It refers to the local application of controlled heat to induce irreversible cell injury and ultimately tumor apoptosis and necrosis. This approach is particularly suitable for the treatment of small tumors in patients who are not suitable for surgery. However, the lack of suitable benchtop models to assess ablation devices complicates prognostic prediction and the development of effective treatment strategies. In this context, the development of a 3D lung tumor model is presented using a cancer cell‐laden hydrogel composed of 2% hyaluronic acid–tyramine (HA‐TA) and 0.5% agarose, resulting in a tumor mimetic of clinically relevant size. This innovative model provides a valuable platform for testing ablation devices and provides insights that can significantly improve prognostic ability and refine treatment approaches for lung cancer patients.



Fig. 1. Design overview and mechanical characterization of soft robotic actuator. (A) components of the soft robotic actuator, highlighting the noncompliant and compliant tubing and the inelastic fabric sheet. illustration of the compliant tubing in the deflated and actuated states. (B) Stress-strain behavior of the materials constituting the actuator (n = 5 for each material), where σ and ε true indicate the cauchy stress and the true strain, respectively, of each material under uniaxial tension. (C) Maximum radius and (D) pressure at three distinct actuation levels (l1 to l3). (E) Pressure-volume curves during banding and debanding. (F) illustration of the actuator positioned around the ascending aorta of a rat model. illustration of the expansion of the implanted actuator during aortic banding and debanding. Data show means ± 1 SD. each test was conducted on n = 5 actuators and repeated n = 5 times.
Fig. 2. Modulation of cardiac hemodynamics during acute aortic banding and debanding in acute catheterization study. (A) Representative lV and aoP waveforms at baseline, l1 to l3, and return to baseline after debanding. (B) Representative progression of lV and aoP during banding and debanding. (C) changes in the lV pressure-volume loop during banding. highlighted loops correspond to baseline and peak banding. (D to I) Relative changes in cardiac function during banding and debanding for three actuation levels, including (D) maximum lVP, (e) cardiac output, (F) stroke work, (G) end-systolic volume, (h) end-diastolic volume, and (i) stroke volume. Data show means ± 1 SD. each test was conducted on n = 5 animals and repeated n = 3 times.
Fig. 3. Aortic hemodynamics during acute aortic banding and debanding. (A) Representative cross-sectional images of the actuator and aorta with corresponding 2D aortic velocity maps at baseline and distinct actuation levels. Scale bars, 3 mm on anatomical images and 1 mm on velocity maps. (B to G) changes in aortic hemodynamics measured via catheterization during banding and debanding for three actuation levels (l1 to l3), including (b) effective orifice area, (c) mean transaortic pressure gradient, (D) maximum transaortic pressure gradient, (e) maximum velocity, (F) energy loss index, and (G) valvulo-arterial impedance. Data show means ± 1 SD. each test was conducted on n = 5 animals and repeated n = 3 times.
Fig. 5. MRI study of chronic cardiac remodeling and reversal via progressive banding and debanding. (A) overview of the timeline of the proof-of-concept chronic studies and levels of pressure overload. (B) changes in aortic cross section measured weekly throughout the study. (C) Representative anatomical images of the aorta and left ventricle in short-axis view for various levels of banding. lines 1 and 2 indicate the geometrical constructions used to obtain wall thickness values. Scale bars, 2 mm. (D to F) lV structural changes over time, including (D) interventricular septum, (e) free wall, and (F) posterior wall thickness. (G to I) changes in metrics of lV function over time, including (G) end-diastolic volume, (h) end-systolic volume, and (i) stroke volume. n = 3 in each group; n = 6 in banding group weeks 1 to 3. *P < 0.05; **P < 0.01; ***P < 0.001; n.s., nonsignificant.
Soft robotic platform for progressive and reversible aortic constriction in a small-animal model

June 2024

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183 Reads

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5 Citations

Science Robotics

Our understanding of cardiac remodeling processes due to left ventricular pressure overload derives largely from animal models of aortic banding. However, these studies fail to enable control over both disease progression and reversal, hindering their clinical relevance. Here, we describe a method for progressive and reversible aortic banding based on an implantable expandable actuator that can be finely tuned to modulate aortic banding and debanding in a rat model. Through catheterization, imaging, and histologic studies, we demonstrate that our platform can recapitulate the hemodynamic and structural changes associated with pressure overload in a controllable manner. We leveraged soft robotics to enable noninvasive aortic debanding, demonstrating that these changes can be partly reversed because of cessation of the biomechanical stimulus. By recapitulating longitudinal disease progression and reversibility, this animal model could elucidate fundamental mechanisms of cardiac remodeling and optimize timing of intervention for pressure overload.



Citations (63)


... Each of these 3D mechanostimulation modalities was found to result in a specific pattern of cellular orientation, as observed via confocal imaging. Although soft robots had already demonstrated their ability to recapitulate the motion and function of organ tissues in a physiological manner [27][28][29][30][31][32][33], this work demonstrates their potential application in 3D biomanufacturing and bioprinting to address complex tissue engineering challenges. ...

Reference:

Programmable 3D cell alignment of bioprinted tissue via soft robotic dynamic stimulation
Soft robotic platform for progressive and reversible aortic constriction in a small-animal model

Science Robotics

... understanding these pathways, the precise mechanisms by which dynamic changes in matrix stiffness influence CF phenotypic switching remain poorly understood. Numerous in vitro models have emerged to explore the impact of matrix stiffness on the phenotypic changes of cardiac fibroblasts [14][15][16][17][18][19] . For instance, researchers have indicated that two-dimensional matrix stiffness, similar to the stiffness of myocardial fibrosis tissue, can induce the activation of cardiac fibroblasts 9,20 . ...

Intermittent actuation attenuates fibrotic behaviour of myofibroblasts
  • Citing Article
  • November 2023

Acta Biomaterialia

... The CSEV@Col group exhibited a significantly higher number of blood vessels compared to the other groups ( Fig. 10A and C). This enhanced vascularization is likely linked to the bioactive miRNAs enriched in CSEV, including miR-31, miR-150, and miR-210, which are known to promote cell viability, migration, and angiogenesis [70,71]. In addition, persistent inflammation was also an important reason for delayed wound healing, which resulted in the inability to transition between the inflammatory and proliferative stages. ...

Dual Scaffold Delivery of miR-210 Mimic and miR-16 Inhibitor Enhances Angiogenesis and Osteogenesis to Accelerate Bone Healing
  • Citing Article
  • October 2023

Acta Biomaterialia

... If the components within the extracellular matrix microenvironment, altered by diseases [37][38][39][40][41][42][43][44][45][46] , can be effectively utilized, the design of microenvironment-responsive living microbial aerodynamic microneedles could be considered 47 . Previous studies have demonstrated the application of responsive micro-needles prepared by combining environment-responsive materials with micro-needles in various diseases 48 . For example, in the application of microneedles for metabolic diseases such as diabetes, the amount and rate of microneedle release of anti-sugar drugs such as insulin can be regulated by designing microbial gas-producing micro-engines with different parameters according to the change of glucose concentration in the tissue microenvironment 49,50 . ...

Soft robot-mediated autonomous adaptation to fibrotic capsule formation for improved drug delivery
  • Citing Article
  • August 2023

Science Robotics

... Specifically, increased peak intensities at 857 cm −1 and 879 cm −1 in M2 macrophages were linked to proline, hydroxyproline, tryptophan, and tyrosine, suggesting that M2 macrophages have lower Use of Raman spectroscopy in immune cell classification and its interaction within tumor-immune microenvironment. methylation levels than M1 macrophages (78). Thus, RS plays an important role in analyzing biochemical changes in lipids, proteins, and nucleic acids across macrophage phenotypes and identifies extracellular matrix (ECM) components. ...

Monitoring the macrophage response towards biomaterial implants using label-free imaging

Materials Today Bio

... The binding of collagen on the surface was determined with microRAMAN spectroscopy (LabRam HR Evolution, Horiba, Kyoto, Japan). RAMAN datapoints were normalized against amide I peaks [14] and smoothened with the Savitsky-Golay method for improved visual clarity [15]. ...

Raman Microspectroscopy Identifies Fibrotic Tissues in Collagen-related Disorders via Deconvoluted Collagen Type I Spectra

Acta Biomaterialia

... The 10-day spheroids, adult donor islets (from the McDonald Laboratory, Alberta, Canada), and 10-week-old fetal tissues (from the University of Tübingen, Tübingen, Germany) were prepared for IF staining, as previously described 40 . Briefly, samples were washed with PBS, fixed in 4% PFA, and embedded in paraffin with a Shandon Citadel 1000 (Thermo Fisher Scientific, Waltham, MA, USA). ...

Decorin improves human pancreatic β-cell function and regulates ECM expression in vitro
  • Citing Article
  • December 2022

Matrix Biology

... Due to the importance of quantitative analysis for the components of the ultrastructure of the ECM and dECM, a viable approach is the digestion of the dECM using enzymes, detergents or decellularized biomaterial through lyophilization to perform the quantification of DNA, or proteins such as collagen and glycosaminoglycans (GAGs) (12). However, if the preservation of the decellularized extracellular matrix is desired, non-invasive analytical methods that do not require labeling or prior sample preparation must be used (27). ...

Raman Microspectroscopy Identifies Fibrotic Tissues in Collagen-Related Disorders Via Deconvoluted Collagen Type I Spectra
  • Citing Article
  • January 2022

SSRN Electronic Journal

... The new generation of gastrointestinal endoscopic devices often integrates more advanced technologies, such as artificial intelligence-assisted diagnosis and high-definition 3D imaging techniques, requiring operators to possess not only solid medical knowledge but also proficiency in the application of these new technologies. Consequently, healthcare institutions need to allocate more resources to personnel training to ensure that medical teams can fully leverage new technologies to enhance the efficiency and quality of diagnosis and treatment [1]. ...

Towards a Whole Sample Imaging Approach Using Diffusion Tensor Imaging to Examine the Foreign Body Response to Explanted Medical Devices

... This polymer was previously used as a stable immobilization matrix for the entrapment of redox-active enzymes and at the same time allowing the diffusion of small molecules into the polymer matrix. [17] To confirm the operation of the bioelectrode for efficient NADH regeneration in the presence of the additional layer, cyclic voltammograms for the ADH/MPC/DIA/BPEI-[CoCp 2 ]-modified electrode were performed in the absence and presence of NAD + (Figure 3a). ...

Tethering zwitterionic polymer coatings to mediated glucose biosensor enzyme electrodes can decrease sensor foreign body response yet retain sensor sensitivity to glucose
  • Citing Article
  • October 2022

Biosensors and Bioelectronics