A wireless, battery-free device enables oxygen generation and immune protection of therapeutic xenotransplants in vivo

Contributed by Robert Langer; received July 13, 2023; accepted August 10, 2023; reviewed by Sharon Gerecht and David Putnam
September 22, 2023
120 (40) e2311707120

Significance

Cell therapies for protein replacement result in functional cures for patients with chronic, life-threatening conditions such as Type 1 Diabetes (T1D), but their development has been limited by challenges in maintaining transplanted cell viability in vivo. Attack from host immune tissue and low oxygen levels represent two major causes of failure. This work addresses both challenges through an immune-isolating device that houses and oxygenates transplanted cells in vivo. The device oxygenates cells via electrolytic water vapor splitting inside the body, obviating the need for pumps and fluid handling mechanisms. The device is battery-free and relies on wireless energy harvesting, addressing challenges associated with battery recharging, size, and toxicity, potentially allowing for long-lived cell therapies in subcutaneous sites.

Abstract

The immune isolation of cells within devices has the potential to enable long-term protein replacement and functional cures for a range of diseases, without requiring immune suppressive therapy. However, a lack of vasculature and the formation of fibrotic capsules around cell immune-isolating devices limits oxygen availability, leading to hypoxia and cell death in vivo. This is particularly problematic for pancreatic islet cells that have high O2 requirements. Here, we combine bioelectronics with encapsulated cell therapies to develop the first wireless, battery-free oxygen-generating immune-isolating device (O2-Macrodevice) for the oxygenation and immune isolation of cells in vivo. The system relies on electrochemical water splitting based on a water-vapor reactant feed, sustained by wireless power harvesting based on a flexible resonant inductive coupling circuit. As such, the device does not require pumping, refilling, or ports for recharging and does not generate potentially toxic side products. Through systematic in vitro studies with primary cell lines and cell lines engineered to secrete protein, we demonstrate device performance in preventing hypoxia in ambient oxygen concentrations as low as 0.5%. Importantly, this device has shown the potential to enable subcutaneous (SC) survival of encapsulated islet cells, in vivo in awake, freely moving, immune-competent animals. Islet transplantation in Type I Diabetes represents an important application space, and 1-mo studies in immune-competent animals with SC implants show that the O2-Macrodevice allows for survival and function of islets at high densities (~1,000 islets/cm2) in vivo without immune suppression and induces normoglycemia in diabetic animals.
Encapsulated cell therapies have the potential to provide continuous, long-term protein replacement. Here, therapeutic doses of cells are housed in biocompatible materials, either in the form of microcapsules (1, 2) or monolithic macroencapsulation device structures (macrodevices) (3) that can support diffusive transport of nutrients, waste products, and metabolites via interactions with host tissue. Encapsulation has the potential to support a broad range of cell types, ranging from primary cells (4) to stem-cell-derived products (5) and immortalized, engineered cell lines (3, 6). Encapsulation in macrodevices addresses two important challenges in cell transplantation: First, it protects transplanted cells by preventing recognition and attack by components of the host immune system via the use of pore size-controlled immune-isolation membranes (711). Second, it addresses safety concerns associated with the potential for uncontrolled cell differentiation and the formation of teratomas (12) by allowing for monitoring, imaging, and retrieval (13) of transplanted cells in case of adverse events. Taken together, macrodevices can provide functional cures for diseases requiring continuous protein replacement by maintaining circulating drug levels within healthy, nontoxic therapeutic ranges, (1318) and eliminating patient dependence on complex dosing regimens thus improving patient lifestyle and compliance. Potential applications include the treatment of Type 1 Diabetes (T1D), blood-borne disorders (19, 20), cancer, (21) and degenerative neural conditions (2224).
However, unlike naive tissue, transplanted encapsulated cells (EC) are physically separated from 3-Dimensional networks of blood vessels, and accordingly, low oxygen tension in transplanted cells is a key cause of graft failure (25). Additionally, the host foreign body response leads to the formation of dense fibrotic tissue capsules around transplanted devices, further isolating them from native vasculature and exacerbating hypoxia. Hypoxia also presents translational challenges: first, it limits the use of minimally invasive subcutaneous (SC) sites. Despite their practicality, SC sites suffer from lower levels of vascularization and fluid exchange than intraperitoneal (IP), hepatic, and intramuscular sites, resulting in poor engraftment and short device operational lifetimes (2628). Second, hypoxia also frustrates clinical translation by limiting cellular packing density within macrodevices. Pancreatic islet transplantation for the treatment of T1D represents an important example: Curative doses for humans involve the transplantation of ~350,000 islet equivalents (IEQ) for adult humans (25). Islet packing densities within macrodevices of <500 IEQ/cm2, as demonstrated in several recent embodiments, (3, 13) translate to overall implant sizes (>1,400 cm2) that are incompatible with transplantation in humans.
Existing approaches to implant oxygenation include prevascularization of graft sites (29), oxygen-generating biomaterials/scaffolds (30, 31) and convective transport via pumps for enhanced mass exchange (32). However, to date, none of these approaches have demonstrated operation in immune-competent animal models without chronic immunosuppression (33). One strategy involves the direct delivery of oxygen via externalized cannulas into internal cannisters for the long-term storage and diffusive release of oxygen to macroencapsulated islets (34). These efforts resulted in glycemic control over a 90-d period in diabetic rats (18) via SC implant without the use of immunosuppressants. Additional testing in nonhuman primates (35) and humans (36) revealed some long-term islet viability but did not produce detectable changes in C-Peptide levels and did not demonstrate insulin-independent glycemic control. Here, the bulky device form factor and the need for periodic, transcutaneous oxygen delivery through externalized ports could complicate clinical translation and serve to promote fibrosis.
To address the broad challenge of oxygenation in transplanted cells, we developed a fully implantable, wireless, battery-free oxygen-generating macroencapsulation device (O2-Macrodevice). The device relies on electrolytic water vapor splitting via proton-exchange membrane electrolysis (25, 37). The system integrates subassemblies for wireless power harvesting, cell encapsulation, and oxygen generation, storage, and diffusive transport, respectively, all into one singular, multicomponent device. Systematic benchtop testing reveals rapid, controllable increases in local oxygen tension during device operation with both liquid water and water-vapor reactant feeds, when operated in both continuous and pulsed modes and equivalent performance between wired and wireless, battery-free embodiments. In vitro testing of O2-Macrodevices in a range of hypoxic conditions involving separate sets of studies on two cell types: a genetically engineered human embryonic kidney (HEK293T) cell line that secretes erythropoietin (EPO) as a model therapeutic protein (3) and insulin-secreting primary rat islets. Finally, xenogeneic in vivo studies involving the transplant of O2-Macrodevices into SC sites in immune-competent, freely moving C57BL/6J mice and C57BL/6J mice treated with Streptozotocin (STZ) to induce diabetes reveal i) enhanced protein production in model protein systems and ii) functional cures in diabetic mice through responsive insulin secretion over a 1-mo period, respectively, enabled by wireless, battery-free oxygen generation, without the need for immunosuppression.

Results

Oxygen Generation via Wireless, Battery-Free Proton-Exchange Membrane Electrolysis of Water Vapor.

The O2-Macrodevice is a stacked, multilayer assembly (Fig. 1A) that combines device elements for i) housing therapeutic cells and isolating them from the host immune system; ii) electrolytic oxygen generation; iii) oxygen storage and delivery to transplanted cells; iv) wireless power harvesting; and v) mechanical support. Oxygen generation relies on diffusive water vapor transport to the site of a proton exchange membrane (PEM)–based electrolyzer assembly [MEA (membrane electrolyzer assembly)] (Fig. 1B) that splits water into oxygen and hydrogen on the application of a voltage above the water-splitting voltage [1.23V (38)]. Oxygen resulting from water splitting is stored in a silicone (polydimethylsiloxane, PDMS) gas diffusion chamber (GDC) bonded directly to the anode side of the MEA and separated from a cell housing chamber (CHC) (SI Appendix, Fig. S1) by a thin (100 µm), oxygen-permeable PDMS diffusion membrane, while hydrogen produced at the cathode is allowed to dissipate away. Here, the high O2 permeability of PDMS (SI Appendix, Fig. S2) represents a key enabling feature, allowing for continuous oxygenation of cells and preventing direct contact between cells and electronic components. The CHC comprises a lithographically defined, rectangular PDMS structure with a circular loading port for cell loading and bounded on the tissue-facing surface by a porous immune-isolating, track-etched polycarbonate (PCTE)–based nanoporous membrane. Fin-shaped protrusions from the side prevent channel collapse. The choice of porous PCTE (pore size ~ 400 nm) is informed by prior work (3) that demonstrates successful immune isolation and operation in IP sites. Cells transplanted in the CHC are therefore bounded by the immune-isolating membrane on the tissue-facing surface and by a thin, PDMS gas diffusion membrane on the MEA-facing surface, directly above the anode where the oxygen evolution reaction takes place. This multilayer design therefore allows for direct oxygenation of transplanted cells (Fig. 1C). A 2-part polyamide frame and PDMS spacers provide compression-based electrical connections between the PEM and metallic electrodes (SI Appendix, Fig. S3). Vapor-based PEM electrolysis (39, 40) represents an important enabling aspect of the technology by obviating the need for liquid electrolytes that require refilling, liquid handling, and pumping. The MEA comprises a multilayer stack of a chemically (41) and thermally (42) stable sulfonated polytetrafluorotheylene PEM located between gold-plated perforated stainless steel mesh electrodes and PDMS spacers. Iridium-ruthenium oxide (IrRuOx) forms the anodic catalyst while platinum black (Pt-B) forms the cathodic catalyst. PEM materials exhibit highly selective transport of protons (H+) relative to other species and, accordingly, supports the following electrolytic reaction on application of a voltage (VApplied > 1.23 V)
Anode (Oxygen evolution reaction):H2O1.23V2H++12O2+2e-,
[1]
Cathode (Hydrogen evolution reaction):2H++2e-H2.
[2]
Fig. 1.
Wireless, battery-free oxygen-generating macrodevices (O2-Macrodevices) for encapsulated cell therapies. (A) Exploded-view schematic of device illustrating elements for oxygen generation, wireless power harvesting, oxygen storage and diffusive release, cell housing, and immune-isolation. (B) Exploded view schematic of MEA comprised a PEM, metallic mesh electrodes, and silicone PDMS spacers along with key electrolytic water-splitting subreactions at cathode and anode, respectively. (C) Sectioned view schematics demonstrating direct oxygenation of cells via PDMS membranes and immune isolation via size exclusion through nanoporous membranes. (Scale bar, 1 µm.) (D) Optical image of assembled circuit board with MEA, with wireless, battery-free oxygen generation in DI-H2O. (Scale bar, 5 mm.) (E) Top-view optical image of cathode side of fully assembled O2-Macrodevice. (Scale bar, 8 mm.) (F) Optical image of cell-housing chamber side of fully assembled O2-Macrodevice. (Scale bar, 8 mm.) (G) Fluorescent image with false color of cell-housing chamber loaded with HEK-293T cells engineered to express red-fluorescent protein (RFP). (Scale bar, 2 mm.) (H) Magnified stitched view of fluorescent image shown in G in corner of device demonstrating cellular packing density (~3 × 106 cells/cm2). (Scale bar, 0.5 mm.)
Resulting in the overall reaction:2H2O1.23V2H2+O2.
[3]
The water-vapor reactant mass diffuses directly to the PEM surface through the PDMS (water vapor transmission rate ~ 10 mg/cm2/day) based on a pervaporation process (43). Diffusive water vapor transport to the PEM also ensures adequate hydration, which is essential to its proton-transport properties (44). The oxygen production rate is directly related to electrolytic current and given by: MO2= IMEA/nO2F (37) where MO2 is the molar oxygen generation rate, IMEA is the electrolytic current through the MEA, nO2 is the number of electrons required to make a molecule of oxygen (nO2= 4), and F is Faraday’s constant (96,500 A/mole-s) (37) (SI Appendix, Fig. S4A). The entire assembly is encapsulated in a thin (<30 µm) PDMS layer (SI Appendix, Fig. S4B) that prevents direct contact exposure of the PEM to biofluids, containing ionic species such as Na+ and Cl suppressing the potential for parasitic chlorine evolution reactions, a well-known challenge in salt-water electrolysis (38).
Power management is an important design consideration. Batteries have several disadvantages in this context: They require recharging, significantly increase the overall weight and size of the device, and require hermetic encapsulation to prevent water ingress and the leakage of potentially toxic battery materials. In contrast, wireless power harvesting via resonant inductive coupling offers options in fully wireless, reliable, safe, lightweight battery-free operation for implantable devices (45, 46). Our system comprises an externally located primary transmitter and an implanted secondary receiver, designed to resonate at 13.56 MHz, chosen due to its low absorption in biological tissue and compatibility with near-field communication (NFC) protocols (47). The circuit is constructed from a multilayer flexible printed circuit board (fPCB) (total thickness ~ 150 µm), with surface-mount components for power harvesting, tuning, and regulation for stable 2 V DC output (Fig. 1D and SI Appendix, Fig. S5). The thin, flexible construction of the device affords advantages in size, weight, and inductive coupling efficiency and provides the basis for potential future embodiments that are entirely flexible. The calculated required current (IMEA) for curative doses of rat islets chosen as a test system due to their relatively high oxygen demand, in small animal models is expected to be ~ 3 mA (MO2~ 0.25 nmol/s) (25). At 2 V, this corresponds to a power requirement (PO2 = VAppliedIMEA) of 6 mW: the system described here can support up to 20 mW (SI Appendix, Fig. S6), suggesting the feasibility of the concept. Here, the MEA load (~1 k Ω) allows for peak power transfer efficiency, with a sharp drop-off in power harvesting above this load observed due to the Q-factor of the antenna. In practice, the antenna area and number of inductive coils can be scaled up to increase power transfer. Wireless, battery-free oxygen generation results from placing a fully assembled O2-Macrodevice (SI Appendix, Fig. S7A) in the rf field of a primary transmitter coil, creating a rapid rise in oxygen partial pressure in the GDC (pO2,GDC) from ambient air values (~20%) to 45% in 80 min (SI Appendix, Fig. S7B and Movie S1), with wireless oxygen generation performing equivalently to wired oxygen generation from a 2-V voltage source (SI Appendix, Fig. S7C). The system also offers capabilities in pulsed operation that can maintain pO2, GDC without the need for active control electronics on-board the implantable device (SI Appendix, Fig. S7D and Movie S2). Pulsed mode oxygenation and control of primary transmitter coil power each offer opportunities to mitigate the potential for hyperoxia. Operation of the device results in a minimal temperature rise, <1.5 °C during DC oxygen generation (SI Appendix, Fig. S8).
Movie S1.
180x speed video of continuous wireless, battery‒free oxygen and hydrogen generation from O2‒Macrodevice in deionized water.
Movie S2.
180x speed video of pulsed mode wireless battery‒free oxygen and hydrogen generation from O2‒Macrodevice in deionized water, operated at a duty cycle of 50%.

O2-Macrodevices Reduce Hypoxia in Encapsulated HEK-EPO Cells In Vitro.

A human embryonic kidney (HEK-293T) cell line engineered to secrete erythropoietin (EPO) as a surrogate model therapy cell allows for testing the effects of wireless oxygen generation in vitro and in vivo. Extensive experimental and modeling efforts have characterized the effects of cell cluster size (48), loading density, (49, 50) and fibrotic tissue formation (51) on encapsulated transplanted cells in SC sites, suggesting local oxygen concentrations of 0.5% < pO2 < 5%. Accordingly, in vitro studies involved testing within this range. Culturing ~2 × 106 HEK-EPO cells in hypoxic conditions (pO2,culture = 0.5%) over a 12-h period in O2-Macrodevices operated at 2V (wireless power transfer system in SI Appendix, Fig. S9) revealed two important findings: First, O2-Macrodevices can maintain pO2,GDC ~ 45% and a stable current IMEA ~ 4 mA (MO2 ~ 0.33 nmol/s) over the entire measurement period (Fig. 2A). Second, O2-Macrodevices can prevent hypoxia in these conditions, as measured by fluorescence from a hypoxic indicator dye with an undetectable fluorescence signal that compares favorably with a normoxic (pO2,culture = 21%) control (Fig. 2B). An expanded set of studies involving culturing at pO2,culture = 1% over 72 h and quantitative fluorescent imaging via fluorescence-activated cell sorting (FACS) (extended data in SI Appendix, Fig. S10) following staining with the same hypoxic indicator dye establish i) equivalence between wired and wireless O2-Macrodevices, and significantly reduced hypoxia in O2-Macrodevices relative to naked cells (NC) and EC in nonoxygenated control devices cultured in the same hypoxic conditions (pO2,culture = 1%) and ii) equivalent levels of hypoxia as in EC and NC cultured in normoxic conditions (pO2,culture = 21%) (Fig. 2C). The hypoxic conditions studied here correspond to expected oxygen concentrations in densely packed cell configurations in vivo (SI Appendix, Table S1).
Fig. 2.
O2-Macrodevices prevent hypoxia and enhance in vivo protein production in HEK-EPO cells. (A) Current (red) and oxygen concentration measurements in the GDC (pO2, GDC, blue) over a 12-h period of continuous wired operation of an O2-Macrodevice in a hypoxic cell culture incubator maintained at pO2,culture = 0.5%. (B) Bright-field (Top) and fluorescence (Bottom) images following staining with a hypoxic indicator dye for HEK293T cells cultured for 12 h at normoxic (pO2,culture = 21%) and hypoxic (pO2,culture = 0.5%) with and without oxygen generation. (Scale bar, 0.5 mm.) (C) Flow cytometry-based quantification of mean-fluorescent intensity (MFI) caused by activation of hypoxic indicator dye in HEK293T cells cultured in normoxic (pO2,culture = 21%) and hypoxic (pO2,culture = 1%) conditions as EC and NC, with the former condition including oxygen-generating devices and nonoxygen-generating controls. Wired oxygen generation involved constant operation at 2 V. *P < 0.05, ****P < 0.0001, with error bars representing SEM, and n = 3 for all groups. All P-values are relative to the wireless oxygen generation group. Statistical significance was computed by one-way ANOVA with a Bonferroni multiple comparison correction. (D) Measured values of pO2,SC in the SC space C57BL/6J mice with sham devices and O2-Macrodevices in locations adjacent to devices with optical needle probe. *P < 0.05, error bars represent SEM, with n = 5 animals in each group. Statistical significance is computed by unpaired 2-tailed t tests. (E) Serum EPO concentrations measured over 1-mo period in O2-Macrodevices (red) and nonoxygenated control devices (black), respectively, with both groups initially loaded with ~5 × 106 HEK-EPO cells in SC sites. A third group contains sham devices (green) with no cells or oxygen-generation electronics. *P < 0.05, **P < 0.01, **P < 0.001, with statistical significance computed via 2-tailed unpaired t tests between the O2 and Non-O2 groups for each time point. All data points represent averages across n = 12 animals for the O2 group, n = 15 animals in the non-O2 group, and n = 5 animals in the sham group, respectively, with error bars representing SEM. (F) Area-under-curve (AUC) analysis for data shown in E, with the same sample sizes. ***P < 0.001, and statistical significance is computed by one-way ANOVA with a Bonferroni multiple comparison correction. All error bars represent SEM.

O2-Macrodevices Enhance Protein Production in Encapsulated HEK-EPO Cells In Vivo.

Experiments in awake, freely moving animals with battery-free O2-Macrodevices implanted in SC sites validate device performance in vivo. Here, mice are housed in standard enclosures with dual-coil wire loops around the outer perimeter to create a uniform (SI Appendix, Fig. S11) region of rf-power within the cage. O2-Macrodevices and nonoxygenated control devices each housing ~5 × 106 HEK-EPO cells and sham devices containing no cells or electronics are transplanted into dorsal SC sites in healthy, C57BL/6J mice (detailed surgical procedures can be found in the Methods section), and direct oxygen measurements at these sites 4 d after implantation reveal elevated values of pO2 in animals with O2-Macrodevices (pO2,SC Space = 13.7 ±1.7%) relative to animals with sham devices (pO2,SC Space = 9.1 ± 1.0%) (Fig. 2D). Weekly measurements of serum EPO concentrations following transplantation over 6 wk reveal two important trends (Fig. 2E): Firstly, the O2-Macrodevice group exhibits a threefold to fourfold increase in serum EPO immediately following transplantation over the nonoxygenated group; second, the O2-Macrodevice group exhibits steady serum EPO levels of ~160 pg mL−1 while the nonoxygenated group exhibits a steady, monotonic decline over time. We note that the EPO gene in our engineered cells is expressed under a cytomegalovirus (CMV) promoter (3), leading to constitutive expression irrespective of local or systemic oxygenation level. Accordingly, changes in protein production are expected to be largely driven by cell viability. As expected, the sham group does not exhibit significantly elevated serum-EPO levels throughout the posttransplantation experimental period, suggesting that surgeries and blood collections do not influence EPO measurements. Area under the curve (AUC) calculations (extended data in SI Appendix, Fig. S12) are an indicator of total EPO secretion over the entire 4-wk period (Fig. 2F). AUC measurements reveal significantly higher total EPO output in the O2-Macrodevice group relative to the nonoxygenated and sham controls. These results suggest the importance of supplemental oxygen provided by O2-Macrodevices in boosting protein production and maintaining cell viability in minimally invasive implants containing therapeutic cells.

O2-Macrodevices Enhance the Survival and Viability of Pancreatic Islets Incubated in Hypoxic Conditions.

Pancreatic islets are an important target for the oxygenation strategy developed in this work: They are highly metabolically active and account for 10 to 15% of arterial blood supply to the pancreas in vivo despite making up 1% of pancreatic mass (52). Poor oxygen tension in transplanted islets has been implicated in graft failure across a range of transplant sites and strategies (25) by significantly reducing islet viability. Culturing in hypoxic conditions (pO2,culture = 1%) results in significant cell death (viable cells/islet ~55% for NC and 65% for EC) (Fig. 3A). In contrast, islets in O2-Macrodevices cultured in pO2,culture = 1% exhibit significantly higher viability (~90%), similar to islets cultured in normoxic conditions (~100%) (Fig. 3B). Islets subjected to hypoxic conditions also exhibit reduced functionality, as measured by glucose responsiveness (30). Here, glucose-stimulated insulin secretion (GSIS) assays quantify functionality beyond simple viability stains. Successive static incubation in conditions with low (2 mM) and high (20 mM) glucose, respectively, produce differential rates of insulin production in healthy islets cultured in pO2,culture = 21% conditions and islets in O2-Macrodevices cultured in pO2,culture =1% conditions over 72 h. Islets subjected to hypoxia without supplemental oxygen generation exhibit no detectable glucose-responsive insulin secretion (Fig. 3C). Taken together, these results suggest that despite hypoxic ambient conditions, islets cultured in operational O2-Macrodevices exhibit both viability and functionality that are similar to islets cultured in normoxic conditions and significantly elevated relative to those of islets subjected to hypoxic conditions without oxygenation.
Fig. 3.
O2-Macrodevices enhance islet viability and functionality in hypoxic conditions across loading densities. (A) Calcein AM/Ethidium homodimer-live/dead stains of rat pancreatic islets following 72 h of culturing in normoxic (pO2,culture = 21%) and hypoxic (pO2,culture = 1%) conditions with and without supplemental O2 generation via O2-Macrodevices. (Scale bars, 0.1 mm.) (B) Estimated percentage of viable cells/islet measured following live/dead staining, when cultured within macroencapsulation devices (EC) and without encapsulation (NC) in normoxic and hypoxic conditions. Centerlines represent means and error bars represent SD. Islets are cultured from n = 3 devices in each experimental group. ****P < 0.0001. Statistical significance is computed by one-way ANOVA with a Bonferroni multiple comparison correction. P-values are relative to EC with oxygen generation. (C) Measured insulin concentrations following GSIS assays across the conditions listed above. *P < 0.05, with error bars representing SEM across n = 3 devices/group. Statistical significance is computed by a paired 2-tailed t test. (D) Representative live stained fluorescent images of rat islets cultured in hypoxic (pO2 = 5%) conditions in nonoxygenated (Top) and oxygenated (Bottom) macroencapsulation devices for 7 d at three loading densities: low (600 IEQ/cm2), medium (2,500 IEQ/cm2) and high (5,000 IEQ/cm2). (Scale bar, 1 mm.) (E) Insulin concentrations following GSIS assays performed on days 4 (Top) and 7 (Bottom) across loading densities, with and without O2 generation. Insulin values for each data point represent contributions from three distinct, isolated chambers attached to the same macroencapsulation frame and oxygen generation module and cultured in the same medium. (F) Combined stimulation index, computed as the ratio between insulin concentrations at high and low glucose conditions during GSIS across three loading densities (low, medium, and high) and two time points (Day 4, Day 7), for n = 6 for each condition. *P < 0.05, error bars represent SEM. Statistical significance is computed by an unpaired, 2-tailed t test.

O2-Macrodevices Support Pancreatic Islet Viability in Dense Loading Configurations.

Curative islet transplantation for humans has required islet masses of >350,000 IEQ (25). Encapsulating this volume of cells within translationally relevant device sizes requires islet packing densities that cannot be achieved without addressing oxygen limitations. This remains a challenge in the encapsulation field, with loading density scaling inversely with device size (SI Appendix, Fig. S13). O2-Macrodevices offer opportunities to support high islet loading densities (~5,000 IEQ/cm2) by mitigating the potential for local hypoxia. In vitro culturing at low (600 IEQ/cm2), medium (2,500 IEQ/cm2), and high (5,000 IEQ/cm2) densities in moderately hypoxic conditions (pO2,culture = 5%) in custom-designed devices (SI Appendix, Fig. S14) over a 7-d period mimic conditions in the SC space (30). Interestingly, these studies yield no detectable differences in the viability of islets cultured in O2-Macrodevices over different densities compared to islets cultured in control devices from live/dead staining and scoring (Fig. 3D). However, islets cultured in O2-Macrodevices secrete significantly more insulin in a glucose-responsive manner compared to control islets without supplemental oxygen, as revealed by GSIS assays performed at days 4 and 7 (Fig. 3E). These trends are captured in a combined stimulation index (SI) metric (53) across both time points (Fig. 3F), defined as the ratio between insulin secretion at high glucose and low glucose conditions. O2-Macrodevices demonstrate significantly higher stimulation indices across loading densities (SI = 8.6 ± 3.0) relative to controls (SI = 1.27 ± 0.1).

O2-Macrodevices with Rat Islets Maintain Normoglycemia in Diabetic C57BL/6J Mice over 1 Mo.

Functional testing in SC sites in immune-competent diabetic mice (Fig. 4A) via a retrieval study with our best-performing device design reveals the effect of in vivo oxygen generation on encapsulated rat islets (~850 IEQ/device, ~1,000 IEQ/cm2). STZ-induced diabetic mice exhibiting hyperglycemia (nonfasting blood glucose, BG > 400 mg/dL) implanted with O2-Macrodevices exhibit normoglycemia beginning the day after transplantation, as shown in Fig. 4B. A control group with an identical number of islets but without oxygen generation exhibits a decline in BG levels until day 5, followed by a return to pretransplantation hyperglycemic levels by day 12. Notably, in the control group, average BG values never go below 200 mg/dL, the threshold for normoglycemia, throughout the experimental period. Overall, the O2-Macrodevice group exhibited significantly lower BG levels and tighter BG control across all animals over the transplant period (173 ± 12 mg/dL) relative to nonoxygenated controls (444 ± 23 mg/dL). Importantly, explanting O2-Macrodevices results in a return to pretransplant hyperglycemic BG values 2 d after devices are retrieved. AUC analysis (Fig. 4C) also reveals significant differences between O2-Macrodevices and controls in maintaining normoglycemia, with healthy naive C57BL/6J mice and STZ-diabetic mice serving as additional positive and negative controls, respectively (SI Appendix, Fig. S15). A larger experimental cohort (SI Appendix, Fig. S16) revealed that ~ 70% (6/9 animals) of mice in the O2 group were normoglycemic at the end of the study while all non-O2 controls had failed after 15 d (0/5 animals normoglycemic). One of the failures in the O2 group was due to device migration following surgery to configuration that was parallel to the direction of magnetic field lines, resulting in no net power transfer. Postexplantation analysis of the remaining two failures revealed electronics failure, resulting in nonfunctional devices. Implants were well tolerated with surgical sites in the O2-Macrodevice group exhibiting good healing (optical images in Fig. 4D) and stable weights (Fig. 4E). However, mice in the non-O2 group exhibited a steady reduction in weight that correlated to their overall declining health, resulting from prolonged hyperglycemia (extended data in SI Appendix, Fig. S17). While BG measurements are a point-indicator of device performance, glycated serum protein (GSP) concentrations are an indicator of glycemic control over several weeks (54): As shown in Fig. 4F, O2-Macrodevices (25 ± 14 µmol l−1) exhibit GSP levels similar to those of naive C57BL/6J mice (46 ± 18 µmol l−1) and significantly lower than those of the nonoxygenated control group (378 ± 100 µmol l−1) and a group of STZ-Diabetic mice (322 ± 13 µmol l−1).
Fig. 4.
Results from a 1-mo retrieval study with rat islet transplants in diabetic immune competent mice. (A) Schematic outlining in vivo studies with xenogeneic islets over 1-mo period in STZ-diabetic C57BL/6J mice. (B) Blood glucose (BG) concentrations measured over 32-d experimental period in STZ-diabetic C57BL/6J mice implanted with O2-Macrodevices and nonoxygenated controls in SC sites, with all devices containing 850 IEQ. A BG value of 200 mg dL−1 is considered the threshold for a functional cure and is marked with a dashed blue line. *P < 0.05, **P < 0.01, ***P < 0.001, with statistical significance computed via an unpaired 2-tailed t test. Sample sizes for all studies shown here are n = 4 for O2-Macrodevices and n = 3 for nonoxygenated controls. All data points represent averages across animals for each time point and error bars represent SEM. (C) AUC analysis for data shown in B. and comparison data from naive (n = 5) and STZ-diabetic control groups (n = 3) with error bars representing SEM. **P < 0.01 with statistical significance computed via one-way ANOVA with a Bonferroni multiple comparison correction. (D) Optical images of O2-Macrodevice implant site in the SC dorsal region of STZ-diabetic C57BL/6J mice at 28 d, demonstrating complete healing of the surgical site. (Scale bars, 1 cm.) (E) Body weight measured during experimental period. *P < 0.05, **P < 0.01, with statistical significance computed via an unpaired 2-tailed t test. All data points represent averages across animals for each time points and error bars represent SEM. (F) GSP concentrations as an indicator of extended glycemic control measured following 1-mo implant period in O2-Macrodevice and nonoxygenated control groups, along with naive C57BL/6J mice (n = 4) and STZ-diabetic C57BL/6J mice without devices (n = 4). **P < 0.01, ***P < 0.001, with statistical significance computed via one-way ANOVA with a Bonferroni multiple comparison correction. All P-values shown are relative to O2-Macrodevices with a full list of comparisons in the SM. Error bars represent SEM. Sample sizes are the same for all data shown in FI. (G and H) Results from IP glucose tolerance tests (IPGTT) performed 28 d following transplantation, showing BG values at discrete time points following glucose injection (G) and AUC across all time points (H) for O2-Macrodevices, nonoxygenated controls, naive mice and STZ-diabetic mice. *P < 0.05, **P < 0.01 with statistical significance computed via one-way ANOVA with a Bonferroni multiple comparison correction. Error bars represent SEM. (I) Serum insulin concentrations measured before and after IPGTT as a measure of stimulated insulin secretion. *P < 0.05. Statistical significance is computed via a paired 2-tailed t test. Error bars represent SEM. (J) Insulin concentrations measured in vitro on retrieved O2-Macrodevices and nonoxygenated control devices following GSIS conducted after 1-mo transplantation period. *P < 0.05, with statistical significance computed via a paired, 2-tailed t test. All error bars represent SEM. (K) SI measured for data shown in J. ****P < 0.0001, with statistical significance computed via an unpaired 2-tailed t test. Error bars represent SEM. (L) Fluorescent imaging following live staining with Newport green on representative O2-Macrodevice (Top) and nonoxygenated control (Bottom), respectively, following retrieval after 1-mo transplantation period with expanded view in Insets explanted after a 28-d experimental period in SC space of STZ-diabetic C57BL/6J mouse. [Scale bars, 0.25 mm (Left), 2 mm (Right).]
In vivo glucose responsiveness is an important measure of islet functionality, and testing involves GTT wherein glucose boluses are injected intraperitoneally [IPGTT (IP glucose tolerance tests)], followed by BG monitoring over a 2-h period. The O2-Macrodevice group again closely follows trends observed in healthy, naive animals, wherein BG values decline back to their baseline values after an initial spike that peaks t = 30 min after glucose injections. Nonoxygenated controls and STZ-diabetic mice experience a spike, followed by persistent hyperglycemia with BG values that do not decline over the 2-h experiment (Fig. 4G and extended data in SI Appendix, Fig. S18). AUC analysis serves as an additional indicator of total time spent in hyperglycemic conditions and reveals significant differences between O2-Macrodevices and both nonoxygenated controls and STZ-diabetic controls, respectively (Fig. 4H). Significant differences in serum insulin concentrations before and after the IPGTT study (Fig. 4I) verify that islets in O2-Macrodevices can dynamically regulate insulin secretion in response to changes in BG.
A final set of experiments on explanted devices confirm significant differences in both viability and functionality of islets encapsulated in O2-Macrodevices relative to nonoxygenated controls. First, GSIS studies on explanted devices demonstrate islet responsiveness (Fig. 4J), with an average SI (2.3 ± 0.1) that is significantly higher than that of nonoxygenated controls (0.97), as shown in Fig. 4K. Live stains on explanted devices (Fig. 4L) confirm clear differences in islet outcomes in O2-Macrodevices relative to nonoxygenated controls, with O2-macrodevices supporting healthy, living islet masses, despite the formation of significant fibrotic tissue around the device (SI Appendix, Fig. S19).

Discussion

This work shows the potential for battery-free electrolytic oxygenation in vivo to enhance survival and functionality in macroencapsulated cell therapy devices. Advances in this study include the demonstration of enhanced protein secretion in engineered cell lines and the functional cure of immune-competent diabetic mice over a 1-mo period without the need for immunosuppressants, prevascularization of the graft site, surface modifications, batteries, or any form of transcutaneous port.
These results represent, to our knowledge, the first functional demonstration of xenogeneic cells supported by bioelectronics in vivo and, as such, are an enabling proof of concept that can be expanded to address several unmet needs in cell transplantation. First, the technology outlined here creates opportunities to explore the SC space as a viable transplant site, with significant advantages in retrievability and risk profiles. Combining pulsed-mode oxygen generation with optical sensing (55) offers opportunities in closed-loop control of local oxygen concentrations that can be adapted to different transplanted cell types. Second, the devices outlined above are compatible with nearly any cell type, ranging from primary cells to engineered cell lines and, accordingly, can be used to address a broad range of therapeutic targets ranging from blood-based disorders (19, 20) to degenerative neural conditions (22). While the focus of the manuscript is oxygen generation for enhancing encapsulated cell therapies, we note that H2 gas, produced here as a byproduct, has demonstrated capabilities in scavenging reactive oxygen species and reducing oxidative stress in tissue (56). Potential future applications of this technology focused on H2 delivery include alleviating neuroinflammation (57), liver inflammation, (58) and mitochondrial disease (59). Another potential application space involves the functional combination of engineered cells and electronics for wireless, triggerable drug delivery based on optical (60) or electrical (61) stimuli as a novel approach to on-demand therapeutics. Finally, the materials, layouts, and concepts outlined here can be used to enable novel tissue engineering constructs where hypoxia presents a significant challenge (62, 63): The combination of the oxygenation and power transfer technologies described here with advances in 3-Dimensional (64), resorbable (65) microfluidics could provide capabilities in oxygenation during periods of integration with host circulatory systems (66).

Materials and Methods

Assembly of O2-Macrodevice Components.

MEA.

The MEA systems described here comprise proton-exchange membranes, electrodes, and PDMS spacers. Assembly begins with cutting sulfonated polytetrafluorethylene PEM sheets (Nafion, Fuel Cell Store, Dallas, TX) loaded with iridium-ruthenium oxide on anodes and platinum black on the cathodes as catalysts, into 6 mm × 4 mm sheets. Electron-beam evaporation (Ti/Au, 10/150 nm) followed by gold plating (1 V, 12 mA, 600 s) onto a porous stainless steel 316 mesh of thickness 0.203 mm (Mesh 9329T5 McMaster Carr, St. Louis, MO) creates electrode materials with large active areas for electrolytic water splitting (~40 mm2). A 5 ~µL mixture of silver-based conductive epoxy between the electrodes and PEM further enhanced electrical contact. Further, 0.5-mm thick PDMS spacers define anode and cathode spacer layers to the outline of the PEM sheets.

Flexible electronic circuit for wireless power harvesting.

Device fabrication begins with circuit layout designs performed on computer-aided design software packages (AutoCAD, Autodesk, Eagle, Autodesk). Designs are initially prototyped and characterized via breadboard-based circuits. Outsourced manufacturing to a fPCB manufacturer (Rush PCB, Milpitas, CA) then results in 2-layer flex-PCBs with the following layers and thicknesses with a total thickness of ~150 µm (SI Appendix, Fig. S5). All components are attached to the flex-PCB via reflow soldering through openings in the coverlay layers based on a low-temperature Indium-based solder paste (TS391LT, ChipQuik). A parylene coating system (SCS, Indianapolis, IN) then encapsulates the devices in 5 µm Parylene-C.

GDC.

First, 4 g of PDMS prepolymer (Sylgard 184) is mixed with a catalyst (10:1 ratio of prepolymer to catalyst), and poured into a 100-mm petri dish on a level surface, degassed cured at 60 °C for ~1 h, for a total thickness of 1 mm. Individual GDCs are then cut from the cured PDMS for a total volume of ~200 mm3 (20 mm × 10 mm × 1 mm).

Immune-isolating CHC.

Fabrication began with pattern design on a computer aided design package (AutoCAD), followed by photolithography on 150-mm silicon wafers. A deep-reactive ion etch step based on the Bosch process (alternating cycles of SF6 etching and C4F8 passivation) (SPTS, Newport, United Kingdom) created ~450-µm trenches in the wafer through the photoresist masks. Successive washes with acetone and IPA removed photoresist layers. Treatment with Trichloro (1H,1H,2H,2H-perfluoreooctyl) silane (Gelest Inc., Morrisville, PA) in vacuum chambers for ~12 h created hydrophobic surfaces on the wafers. Pouring and spin-coating PDMS prepolymers (10:1 ratio of prepolymer to crosslinker, Sylgard 184) at 100 rpm followed by curing at 60 °C resulted in a uniform PDMS device comprising a 450-µm deep cell-loading chamber (total fill volume ~ 40 µL) attached to a ~100 µm PDMS base that served as the gas diffusion layer (SI Appendix, Fig. S2). PCTE membranes (PCTF0447100, Sterlitech, Auburn, WA) (pore size 400 nm) were bonded to the top surface of the demolded device by first silanizing in a 5% v/v solution of (3-aminopropyl) trimethoxysilane (Gelest) in water at 90 °C for 1 h. Washing in deionized water and ethanol followed by dipping in a 1% HCl solution for 30 min further created silanol groups suitable for covalently bonding to PDMS. Clean, freestanding PDMS CHC were treated in a 200 W oxygen plasma (Harris Inc.) for 90 s on the bonding surface and then brought into contact with treated PCTE membranes, followed by successive cures at 60 °C for 3 h and 120 °C for 12 h, respectively, to complete covalent bonding between the PDMS and PCTE and complete CHC fabrication. Control devices in the studies described here comprise the CHC alone.

Final Assembly of O2-Macrodevice.

Placing assembled boards with MEA assemblies between the two components of mechanical frames and applying firm pressure snaps the frame closed and applied compressive pressure to the MEA via the PDMS spacers. Separately, a PDMS prepolymer (Sylgard 184, 10:1) is drop-cast to a thickness of 0.5 mm and allowed to partially cure, creating adhesive PDMS surfaces. Assembled devices were placed anode-side down onto these adhesive surfaces, followed by drop-casting a further 0.5 mm of PDMS prepolymer (Sylgard 184, 10:1) and completely curing at 60 °C for 1 h, leaving behind entirely silicone-encapsulated devices. Devices are then cut out with scalpels and demolded from their hydrophobic surfaces to leave smooth, PDMS-encapsulated anodes. Separately, GDC layers are covalently bonded to CHC (on the PDMS surface) by successively treating the bonding surfaces with O2-Plasma (Harris, Inc.,) and curing at 60 °C for 3 h. The GDC-CHC assembly is similarly bonded to the PDMS-coated anode via successively treating the bonding surfaces with O2-Plasma (Harris, Inc.,) and curing at 60 °C for 3 h, completing O2-Macrodevice assembly.

Wireless Power Transfer Systems.

The O2-Macrodevice was powered by resonant inductive coupling with an external primary antenna. The system was designed to resonate at 13.56 MHz (46, 67). Resonance was achieved via an L-C circuit, where the resonant frequency is given by
fL-C=1/2πLC.
The inductance L of the secondary receiver coil was first computed to ±20%. Tuning capacitor values were then varied until optimal power transfer was achieved via resonance at 27 pF. The total harvested power is proportional to the magnetic flux passing through the coil loops, ΦB and given by B.dA , where A is the total area enclosed by the 12-loop, dual-side inductive coil. We used two power transfer systems for our studies here, both designed for resonant power transfer at 13.56 MHz. For benchtop and in vitro studies, we used an NFC-card reader expansion board (X-NUCLEO-NFC06A1, STMicroelectronics). For in vivo studies, we used a power transfer system compatible with standard mouse enclosures (45) (Neurolux Inc., Skokie, IL), comprising an AC-voltage source, a power amplifier, and a set of wire loops (2/cage) wrapped around the outside of the enclosure (SI Appendix, Fig. S11).

Oxygen Measurement and Benchtop Device Characterization.

We used oxygen probes with two form factors. For invasive measurements, we used a retractable optical sensor with a needle form factor based on fluorescence quenching (NTH-PSt7, PreSens, Regensburg Germany) inserted directly into the GDC. Noninvasive measurements relied on attaching a fluorescent sticker to the inner surface of the transparent PDMS GDC via a transparent adhesive (Dowsil, Dow Corning) and measuring via an integrated fiber system (Oxygen Sensor Spot, SP-PSt3-NAU, PreSens, Regensburg, Germany). For in vivo measurements, sterile optical oxygen sensors housed in retractable, 23G needles (NTH-PSt7, PreSens, Regensburg, Germany) were used. Wired voltage sources supported early characterization studies. MEA assemblies were wired in series with digital ammeters (NI-USB 4065, National Instruments) with data recording on a custom program on LabView (National Instruments). A programmable voltage source (Rigol, DP800) provided a stable, DC voltage.

Loading Devices with Cells.

HEK-EPO cells.

HEK293T cells transfected to produce EPO and red-fluorescent protein were first shown in ref. 3 and used without modification. Devices were first sterilized by dipping in 70% ethanol for 60 s and exposing to UV-light for 30 min. Cells were cultured in DMEM (Dulbecco’s Modified Eagle Medium) with 10% FBS and 1%-penicillin–streptomycin in standard flasks. Cells were first washed and aspirated with 8 mL saline and dissociated with 3.5 mL of a trypsin-like protease (TrypleE, Fisher Scientific). The addition of 7 mL sterile phosphate-buffered saline halted dissociation after 5 min. Suspended cells were extracted and centrifuged for 5 min at 0.3 rcf. Aspirating the supernatant then left behind cells in ~0.5 µL of media. Staining with a dye (trypan blue) and counting via an automated counter (Countess, Fisher Scientific) established a cell count and density. Cells were then loaded into sterile 1-mL syringes with 25G needles. Devices were loaded by piercing PCTE membranes and gently injecting, with care taken to avoid bubble formation. Openings in the PCTE over the inlet ports are then sealed with a UV-curable epoxy (Norland Optical Adhesive, NOA 81) and exposed to UV for 15 to 20 s. For in vivo studies, devices loaded with cells were cultured overnight prior to implantation.

Rat islets:.

Rat islets were acquired from the Joslin Diabetes center (Harvard Medical School, Boston, MA) and were cultured in T75 suspension flasks for 2 to 3 h prior to loading into devices (RPMI-1640 with 10% FBS and 1%-penicillin-streptomycin). Islets were then collected and concentrated into a 10-mL culture medium via centrifugation (200 g; 2 min). Islets were counted and aliquoted into ~850 islets per 1.5 mL epi-tube for separate loading into individual devices. Immediately prior to loading a device, an islet aliquot was spun at 200 g for 2 min, aspirated, and resuspended in 40 µL of 1.4% sodium-alginate solution (PRONOVA SLG20, NovaMatrix). The islet-alginate suspension was then injected into each device using a 1-mL syringe connected to a 200 µL gel loading pipette tip (Sorenson, cat #13810) using air to ensure all islets entered the device. The final fill volume was ~ 40 to 45 µL, accounting for the islet pellet, and the final seeding density was ~1,000 islets/cm2. Inlet ports were sealed with a UV-curable epoxy (Norland Optical Adhesive, NOA 81) and exposed to UV for 15 to 20 s. Devices were then placed membrane-side down in 20 mL a barium gelling solution (20 mM BaCl2, 205 mM mannitol, 25 mM Hepes) for 30 min to solidify the alginate matrix within the device. Devices were then washed with 20 mL saline 3 times and 20 mL culture media 3 times to remove any excess barium. Devices were then cultured overnight in 20 mL culture medium at 37 °C, 21% O2, and 5% CO2. O2-Macrodevices were placed on primary power transfer coils within the incubator to immediately start generating oxygen once the islets were loaded into the devices.

In Vitro Hypoxia Assays with HEK-EPO Cells.

Normoxic conditions involved culturing in 21% O2 conditions, consistent with oxygen concentrations in ambient air. Hypoxic conditions involved culturing in 0.5% and 1% O2 to replicate conditions within large islets in densely packed configurations. Each of the groups listed involved three separate devices for statistical computations. Cells were cultured for 72 h, followed by staining with a 5 µM hypoxic indicator dye (BioTracker, Green Hypoxia Dye, Sigma Aldrich, St. Louis, MO) in DMEM for 1 h. Cells were then washed with PBS, replaced with DMEM, and observed under a fluorescence microscope (Fig. 2B) after 3 h of incubation time.
For quantitative studies, devices were removed from media and washed with PBS. Devices were submerged in TrypLE and tweezers were used to manually separate the membrane from each device. After opening the membranes, devices were treated with TrypleE and incubated for 10 min to dissociate cells.
Cells were resuspended in a solution of zombie NIR (biolegend) to identify viable cells. After 15 min, cells were centrifuged and resuspended in cell staining buffer prior to analysis on a flow cytometer (BD LSR II, BD Biosciences). Cells were first gated to exclude those that were stained with the zombie NIR dye which represented dead cells. Within the viable cells, the level of hypoxic dye was measured in the FITC channel. FlowJo software was used for analysis.

Islet Viability Staining and Scoring.

First, the electronics portion of devices was carefully removed using a scalpel prior to staining in order to visualize islets within the cell chamber. Devices containing islets were rinsed twice membrane down with 20 mL Hank’s Balanced Salt Solution (HBSS) (Mediatech). Devices were then flipped membrane up and incubated with 200 µL viability dyes calcein AM (2 µM working concentration) and Ethidium homodimer-1 (4 µM working concentration) in HBSS (Invitrogen, cat# L3224). An epi-fluorescent microscope (Nikon TS2) with filters for calcein AM (ex/em ~495 nm/~515 nm) and EthD-1 (ex/em ~495 nm/~635 nm) was used to acquire images of devices at 4× magnification, which were then stitched together. Following imaging, percentages of total viable cells within 50 whole islets per device (n = 3 devices and ~150 total islets scored per condition) were estimated by a single-blinded operator trained in human islet isolation protocols utilized in the NIH-funded clinical trial by the Clinical Islet Transplantation consortium and University of Illinois at Chicago clinical trials (68).

Glucose Stimulated Insulin Secretion Assay.

GSIS was used to quantify islet functionality for in vitro experiments in Fig. 3 and in vivo experiments in Fig. 4. In vivo devices were explanted and placed in 21% O2 culture overnight with continuous power supply to the oxygen-generating devices. This recovery period from retrieval procedures was previously found to stabilize insulin responses during the GSIS assay. For in vitro GSIS, hypoxia incubators were found to equilibrate to 5% O2 after ~5 min and 1% after ~10 min. Islets in devices were washed three times with 25 mL saline, followed by 3 successive 10-min 25-mL washes in a 2 mM glucose Krebs-Ringer solution (KR2) to remove residual insulin produced during culture. Devices were then placed in 5 mL KR2 solution for two 30-min prewash steps. O2-Macrodevices were placed on primary power transfer coils within the incubators during these prewash incubations onward. Finally, devices were incubated in 5 mL KR2 for 1 h (low 2 mM glucose) and 5 mL KR20 for 1 h (High 20 mM glucose). Supernatants were collected from the last wash KR2, to ensure that sufficient washing removed the residual insulin from media, and Low KR2 and High KR20 for analysis. The amount of insulin secreted into the supernatants was then quantified using a high-range rat insulin enzyme-linked immunosorbent assay (ELISA) (Mercodia, cat#10-1145-01) in duplicates according to manufacturer’s recommendations. SI was then computed as insulin measured at in high-glucose conditions divided by insulin measured in low-glucose conditions.

Islet Density Studies.

Rat islets were loaded into devices with specialized chambers (3 chambers/device, SI Appendix Fig. S14A) based on the procedures listed above at 3 densities: low (1,000 Islets/cm2), medium (2,500 islets/cm2), and high (5,000 islets/cm2) and cultured in RPMI 1640 and 10% FBS in a specialized 5% O2 incubator for 7 d. At days 4 and 7, we performed GSIS assays on all devices. On day 7, devices were stained with viability dyes calcein AM ethidium homodimer-1 to reveal live islets and imaged on the epi-fluorescent microscope (SI Appendix, Fig. S14B). Finally, total insulin content from islets within the devices at day 7 was determined using acid/ethanol extraction. The contents of each device chamber were macerated and sheared through an insulin syringe 10 times in acid/ethanol in order to fully break up islets. Samples were then incubated overnight at 4 °C under continuous mixing. Samples were spun the next day 4,000 rcf for 5 min to remove cell debris and the supernatant containing insulin was collected. The amount of insulin per device was quantified via ELISA (Mercodia, cat#10-1145-01) (SI Appendix, Fig. S14C).

SC Surgical Device Implantation and Postsurgical Monitoring.

All surgical procedures were approved by the Massachusetts Institute of Technology’s (MIT) committee on animal care, as detailed in approved protocol number 0620-045-023. Animal studies were supervised by veterinary staff at MIT’s Division of Comparative Medicine. C57BL/6J mice and STZ-treated C57BL/6J mice were the only animals used in this work. All mice were purchased from Jackson Labs (Bar Harbor, ME).
For surgical implantation, mice were anesthetized under continuous flow of isoflurane and oxygen. Following hair removal, the entire shaved area was aseptically prepared povidone-followed by rinsing and 70% alcohol. A sharp surgical scissor was used to cut a 0.5 to 0.75 cm incision through the skin. A SC pocket of ~1 cm × 1 cm was created via blunt dissection and devices were carefully placed inside the pocket via blunt tweezers. The membrane side was inserted facing down onto the muscle bed, while the cathode side of the device faced the skin. Sutures then closed the skin following implantation. After the surgery, animals were placed back in cages on a heat pad or under a heat lamp and monitored until they came out of anesthesia. Device retrieval proceeded similar to implantation, with care taken not to disrupt fibrotic tissue.

In Vivo Studies with HEK-EPO Cells.

Cell-loaded devices were incubated overnight in cell media and washed with HBSS (Gibco by Life Technologies) before transplantation surgery in healthy C57BL/6J mice. On the day of surgery and every week thereafter, ~100 μL blood was collected from the medial saphenous vein in blood collection tubes (catalogue number 365967; BD Microtainer). After serum separation, the EPO concentration was measured using a Mouse EPO ELISA kit (catalogue number 442708; BioLegend).

Induction of Diabetes in C57/BL6J Mice.

Mice were rendered diabetic using a single IP injection of STZ (150 mg/kg). Mice were first weighed and the dosage of STZ calculated. STZ aliquots were wrapped in foil and kept on ice. Immediately before injection, ice-cold STZ buffer (0.57% wt/vol Citric Acid, 0.67% wt/vol sodium citrate, ph 4.5, in DI H20 and sterile filtered) was added to STZ aliquots. Once STZ dissolved ~3 min, animals were injected within 7 min due to the short half-life of STZ. Diabetes occurs approximately 48 h after STZ injection. Blood glucose and weights were evaluated daily, and mice were considered diabetic after two consequent blood glucose of >350 mg/dL. A subset of STZ-diabetic mice (STZ-control groups shown in Fig. 4) were purchased directly from a vendor (Jackson Labs, Bar Harbor, ME) with induction of diabetes validated via successive blood glucose measurements that confirmed fasting BG values >350 mg/dL.

Blood Glucose Measurements.

First, 0.5 µL volumes of blood were collected via tail-pricks with 25-27G and measured with a commercial handheld blood glucose meter (Clarity, BG1000). The upper limit of measurements is 600 mg/dL on these systems, and values above this were recorded as 600 mg/dL for analysis. Nonfasting values were recorded for 7 to 10 d following implantation, after which BG values were recorded following a 2.5-h fast. Mice were weighed before and after fasting periods.

IPGTT.

For the IPGTT assays shown in Fig. 4, mice were fasted for 8 h and injected with a glucose bolus (2 g/kg in sterile saline) intraperitoneally via 25G needle. Blood samples (~100 µL) were collected into blood collection tubes (BD Microtainer; cat# 365967) via saphenous vein bleeds before and 2 h after glucose injection, followed by serum extraction and insulin ELISA to quantify insulin concentration. BG measurements were performed 15, 30, 45, 60, 90, and 120 min after glucose injection on all groups.

GSP Assay.

GSP levels were measured from each of the mice at the end of the 28-d study. Two blood samples (each ~100 µL) were collected at day 28 (Fig. 4) in blood collection tubes (BD Microtainer, cat# 365967) via saphenous vein bleeds. Serum was then assayed for mouse-specific GSP using a commercially available ELISA kit (Crystal Chem, cat# 80420) in singlet but using 2 serum collections per mouse according to the manufacturer’s recommendations.

Statistical Analysis.

Experimental numbers for all studies are indicated in figure legends. Statistical analysis was performed on OriginPro 2019 (OriginLabs, Northampton, MA). When comparing two independent experimental groups, statistical significance was computed using unpaired, 2-tailed t tests. When comparing independent experimental groups, statistical significance was computed via ANOVA with Bonferroni corrections. When comparing longitudinal data from the same experimental group, statistical significance was computed via paired, 2-tailed t tests. Statistical significance was based on measured P-values of <0.05.

Data, Materials, and Software Availability

All study data are included in the article and/or supporting information.

Acknowledgments

This work was funded by the Juvenile Diabetes Research Foundation (JDRF), (grant 3-SRA-2022-1098-S-B), the Leona M. and Harry B. Helmsley Charitable trust (2102-04997) and the NIH (NIH R01EB031992). S.R.K gratefully acknowledges funding from the JDRF (postdoctoral fellowship 3-PDF-2022-1138-A-N) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB-NIH) (K99EB032427). S.B. acknowledges funding from the NIBIB-NIH (K99EB025254). We thank Dr. Philipp Gutruf for insightful discussions. Device fabrication and assembly was partly performed at MIT.Nano, and we acknowledge the contributions of MIT.Nano staff members Dennis Ward, Donal Jamieson, and Kurt Broderick in helping refine our fabrication processes and in maintaining essential equipment. Finally, we thank the Joslin Diabetes Center for providing us isolated rat islets that we used in the studies described here.

Author contributions

S.R.K., M.A.B., S.B., R.L., and D.G.A. designed research; S.R.K., C.L., M.A.B., N.K., B.W., L.O., A.F., R.L., and D.G.A. performed research; S.R.K., C.L., M.A.B., N.K., R.L., and D.G.A. analyzed data; and S.R.K., R.L., and D.G.A. wrote the paper.

Competing interests

S.R.K, M.A.B, S.B, N.K, R.L., and D.G.A are inventors on a patent application relevant to the technology described in the above work. D.G.A is on the Scientific advisory board of Sigilon Therapeutics, a biotechnology company based in Cambridge, MA, that develops antifibrotic materials for microencapsulated cell-based therapies. R.L. receives licensing fees (to patents in which he was an inventor on) from, invested in, consults (or was on Scientific Advisory Boards or Boards of Directors) for, lectured (and received a fee), or conducts sponsored research at MIT for which he was not paid for a large number of entities. A full list can be found in SI Appendix.

Supporting Information

Appendix 01 (PDF)
Movie S1.
180x speed video of continuous wireless, battery‒free oxygen and hydrogen generation from O2‒Macrodevice in deionized water.
Movie S2.
180x speed video of pulsed mode wireless battery‒free oxygen and hydrogen generation from O2‒Macrodevice in deionized water, operated at a duty cycle of 50%.

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Information & Authors

Information

Published in

The cover image for PNAS Vol.120; No.40
Proceedings of the National Academy of Sciences
Vol. 120 | No. 40
October 3, 2023
PubMed: 37738292

Classifications

Data, Materials, and Software Availability

All study data are included in the article and/or supporting information.

Submission history

Received: July 13, 2023
Accepted: August 10, 2023
Published online: September 22, 2023
Published in issue: October 3, 2023

Keywords

  1. cell therapies
  2. bioelectronics
  3. encapsulation
  4. islet transplantation
  5. diabetes

Acknowledgments

This work was funded by the Juvenile Diabetes Research Foundation (JDRF), (grant 3-SRA-2022-1098-S-B), the Leona M. and Harry B. Helmsley Charitable trust (2102-04997) and the NIH (NIH R01EB031992). S.R.K gratefully acknowledges funding from the JDRF (postdoctoral fellowship 3-PDF-2022-1138-A-N) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB-NIH) (K99EB032427). S.B. acknowledges funding from the NIBIB-NIH (K99EB025254). We thank Dr. Philipp Gutruf for insightful discussions. Device fabrication and assembly was partly performed at MIT.Nano, and we acknowledge the contributions of MIT.Nano staff members Dennis Ward, Donal Jamieson, and Kurt Broderick in helping refine our fabrication processes and in maintaining essential equipment. Finally, we thank the Joslin Diabetes Center for providing us isolated rat islets that we used in the studies described here.
Author contributions
S.R.K., M.A.B., S.B., R.L., and D.G.A. designed research; S.R.K., C.L., M.A.B., N.K., B.W., L.O., A.F., R.L., and D.G.A. performed research; S.R.K., C.L., M.A.B., N.K., R.L., and D.G.A. analyzed data; and S.R.K., R.L., and D.G.A. wrote the paper.
Competing interests
S.R.K, M.A.B, S.B, N.K, R.L., and D.G.A are inventors on a patent application relevant to the technology described in the above work. D.G.A is on the Scientific advisory board of Sigilon Therapeutics, a biotechnology company based in Cambridge, MA, that develops antifibrotic materials for microencapsulated cell-based therapies. R.L. receives licensing fees (to patents in which he was an inventor on) from, invested in, consults (or was on Scientific Advisory Boards or Boards of Directors) for, lectured (and received a fee), or conducts sponsored research at MIT for which he was not paid for a large number of entities. A full list can be found in SI Appendix.

Notes

Reviewers: S.G., Duke University; and D.P., Cornell University.

Authors

Affiliations

Siddharth R. Krishnan
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Claudia Liu
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Matthew A. Bochenek
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Suman Bose
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Nima Khatib
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Ben Walters
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Laura O’Keeffe
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Amanda Facklam
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Bioengineering, Massachusetts Institute of Technology, Cambridge, MA 02139
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Department of Bioengineering, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139
Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139
Daniel G. Anderson1 [email protected]
David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139
Department of Anesthesiology, Boston Children’s Hospital, Boston, MA 02115
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139
Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139

Notes

1
To whom correspondence may be addressed. Email: [email protected] or [email protected].

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    A wireless, battery-free device enables oxygen generation and immune protection of therapeutic xenotransplants in vivo
    Proceedings of the National Academy of Sciences
    • Vol. 120
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