Abstract
An automated process for modifying the surface of pancreatic islets grows uniform polyelectrolyte multilayer thin films, eliminating user variability associated with previous manual methods. Machine vision feedback allows for tight control of small fluid volumes, maintaining islet microenvironment. This process is adaptable to other fragile micron-scale particle systems.
Keywords: cell surface engineering, islet transplantation, machine vision, microparticle coating, polyelectrolyte multilayer films
Type 1 diabetes affects at least 30,000 new patients per year in the United States alone and is typically fatal without regular blood glucose monitoring and daily administration of exogenous insulin.[1, 2] It has long been postulated that transplantation of pancreatic islets of Langerhans into patients with Type 1 diabetes could restore glucose sensing and insulin secretion functions, eliminating the need for constant self-monitoring and insulin injection with superior control over blood glucose levels.[3, 4] However, achieving this goal remains elusive. Even with recent improvements, lifelong immunosuppression is required, often two or three separate islet transplants are generally needed to achieve euglycemia, and far fewer than half of all patients are insulin independent one year after transplantation. [5–7]
Re-engineering the biological and chemical properties of islet surfaces has recently emerged as a promising approach to improving clinical outcomes after islet transplantation. Notable examples include immobilization of anti-inflammatory and anti-coagulant molecules on islet surfaces,[8–13] surface grafting of poly(ethylene glycol) as a steric barrier between the graft and the host immune system,[14–20] and deposition of cell surface-supported polymeric thin films via layer-by-layer (LbL) and other techniques as a nanoscale cell encaspsulation strategy.[21–32] Our group has recently described a novel approach for cell surface engineering through the LbL self assembly of polyelectrolyte multilayer (PEM) thin films directly on the surface of pancreatic islets, as described in Figure 1.[24, 25] As a bottom-up approach to cell surface engineering, LbL films offer unprecedented versatility and modularity relative to conventional cell surface modification approaches. Significantly, LbL film properties can readily be tailored through control of film constituents, layer number, and fabrication conditions.[33–41] Moreover, diverse biological molecules and nanoscale materials can be readily integrated into LbL films, providing a highly versatile scaffold for the localized presentation and release of biologically active agents that serve to improve islet survival and engraftment.[25]
Central to LbL films’ success in islet cell surface engineering was our discovery of a novel subset of poly(L-lysine)-graft-poly(ethylene glycol) (PLL-g-PEG) cationic copolymers, similar to previous grafted copolymers studied by others as single-layer coatings for cells and nonliving substrates.[42–46] Unlike most polycationic materials, PLL-g-PEG copolymers exhibit minimal cytotoxicity, while simultaneously facilitating the growth of LbL films directly on the surface of pancreatic islet cells. Films can be assembled without adversely influencing islet viability or function, loaded with a model biologic therapeutic, and resulted in improved rates of conversion to euglycemia in a murine model of islet transplantation.[24, 25] Despite this success, the assembly of LbL films on islets remains a tedious and time consuming process that required a trained technician and was subject to human variability. Manipulation of islets is difficult because they are small (50 to 200 μm), approximately spherical multicellular aggregates whose structural integrity and biological function are sensitive to mechanical forces, removal from culture media, and withdrawal across air-water interfaces. These effects are magnified by the repetitive solution exchanges inherent to LbL assembly, and, therefore, any strategy to apply thin film coatings to islets must account for these forces.
In our experience, aqueous microparticle coating strategies reported by others, namely centrifugation,[47] selective withdrawal,[48] and microfluidics,[49] were not amenable to LbL film assembly on islets. Centrifugation predisposes islets to mechanical damage secondary to repeated exposure to centripetal forces, pellet formation, and pellet dispersion. Selective withdrawal is not easily compatible with the high number of washes and incubations that LbL film assembly requires. Microfluidics approaches would be limited by scalability; a prohibitively large number of units would be necessary in order to process suitable numbers of islets in a timely fashion. Previously, our group has employed a manual filtration technique where islets were placed in standing cell culture inserts (Millipore, Billerica, Massachusetts) that facilitated the drainage of polyelectrolyte and wash solutions while retaining islets.[24, 25] Solutions were injected by hand pipette and evacuated through microporous mesh on the inferior surface by manually tapping the insert repeatedly on a sterile polystyrene surface, which facilitated drainage of solution through capillary forces. When performed correctly by experienced hands, manual filtration was successful in producing islets encapsulated in LbL films that were fully functional and highly viable. However, the technique was limited by the inability to precisely regulate fluid levels in the insert during evacuation. Over-evacuation would expose islets to air-water interfaces, causing damage. Under-evacuation would result in deviation of polymer concentrations from the tight ranges compatible with PEM film growth. Furthermore, manual filtration was especially demanding of skilled technicians’ time, a valuable resource in the modern laboratory setting. All of these factors would limit the potential to scale this process from a laboratory environment to a more relevant clinical setting.
Herein, we describe an automated filtration process for assembly of LbL films on pancreatic islets. To achieve this, we employed novel machine-vision technology to allow for exquisite regulation of reactor volumes, polyelectrolyte concentrations, incubation times, and flow rates. This process reduced the potential for user variability, increased efficiency, and eliminated the laborious aspects of our previous approach, while retaining the design aspects that contributed to the success of manual filtration (Table 1). Significantly, this process has a broad array of potential applications in areas such as drug delivery and cell surface engineering, and is readily amenable to automated coating of diverse micron-sized particles. Additionally, the machine vision method of precise small volume measurement has potential applications in fields ranging from chemical synthesis and biological culture to manufacturing and sensors.
Table 1.
Manual Filtration | Autocoating | |
---|---|---|
Out-of-culture time (hr) | 3:00 | 3:00a) |
Human Time (hr) | 3:30 | 1:30a) |
Human involvement | Complex Technical Skill | Execute Setup Protocol |
Capacity (# of islets) | >500 | >500 |
Control of evacuation | Human eye | Machine Visionb) |
Post-evacuation void volume (μL) | 70±30 | 60±10b) |
Polycation required (mg) | 8 | 7b) |
Islet Yield | 80–90% | 91% |
Islet Viability | >99% | >99% |
Islet Circularity | >0.500 | >0.500 |
Insulin Secretion | intact | intact |
Autocoating does not reduce time needed to process islets out of culture, which depends largely on the kinetics of polyelectrolyte interactions. However, autocoating decreases human-time requirements since attention is needed only for setup and takedown, not supervision of the process itself.
The autocoating method improves evacuation precision, allowing optimization of polyelectrolyte solution concentration and volume to decrease total polycation demand. Islets are also better protected from the deleterious effects of exposure to air-water interfaces caused by over-evacuation.
Design of the automated coating apparatus was centered around sterile, disposable 0.6 mL reactors (standing cell culture inserts, 0.6 cm2 filtration area, Millipore, Billerica, MA) with 12 μm microporous mesh on the inferior surface. A reactor-to-Luer Lock fitting (custom fabricated from extruded acrylic by numerically controlled milling) allowed solution withdrawal through the reactor’s mesh floor. Computer controlled syringe pumps and small 10 mL syringes were chosen to precisely inject and evacuate solutions. Pinch valves (ValveBank, AutoMate Scientific, Berkeley, California) and reservoirs were incorporated to purge or refill syringes as necessary, so coating protocol length was limited only by reservoir size. A computer program was written in LabView (National Instruments, Austin, Texas) to control the process. A more detailed schematic of the custom fabricated reactor and coating system is shown in Figure S1 in Supporting Information.
We quickly found that system feedback was necessary to prevent the propagation of relatively small reactor under-evacuation or over-evacuation errors, which consistently caused reactor overflow or islet damage, respectively. A USB webcam (QuickCam 4000, Logitech, Fremont, California) was incorporated to provide machine vision (MV) fluid level measurements as seen in Figure 2 and further detailed in Figure S2 in Supporting Information. Fluid level control was assessed by loading the reactor with an arbitrary amount of islet wash buffer, evacuating briefly to form a consistently shaped meniscus, and taking a MV fluid level measurement. Then, prior to full evacuation, fluid was carefully aspirated by pipette and weighed as a benchmark measurement. A 0th order calibration factor was added to account for the small but significant amount of fluid above the bottom of the meniscus, which the MV algorithm was otherwise unable to detect. After calibration, MV measurements showed a strong correlation with weight-based measurements (r2=0.995, n=10). Mean magnitude of error was 4.51 μL. For all experiments presented here, calibration factors were recalculated each time a new reactor was installed and consistently fell between 85 μL and 110 μL. In order to maximize washing efficiency and prevent the exposure of islets to air, the system was configured so that a small “void volume” of solution remained in the reactor after evacuation. Void volume was set to 60 μL, the empirically determined minimum volume at which the mesh floor would be completely covered in solution.
Having established a satisfactory method to control solution volumes in the reactor, the system’s ability to process murine islets was characterized. First, process yield was determined. The LabView program was configured to execute an 8 bilayer coating protocol with three washes and two 5 minute incubation steps per bilayer. This protocol took 2.5 hours to complete and a mean of 91% islets were recoverable after 6 independent experiments (95% CI: 84% to 99%). Recovery rate was similar between experiments performed with low numbers of islet number (21–44 islets, n=5, 91% mean recovery) and those with higher islet numbers (200 islets, n=1, 95% recovery). These investigations were performed with islet wash buffer in place of polyelectrolyte solutions to isolate the effect of mechanical forces on islet loss. Recovery rates, protocol time, and the capacity of the system to handle at least 200 islets were sufficient to assess the automated system’s effects on PEM film growth.
The development of PEM films on islets is mediated through alternating deposition of polycationic and polyanionic polymers, as demonstrated previously.[25] PLL-g-PEG/alginate films were assembled on planar substrates as previously described.[25] These films were readily disassembled when immersed in 5 M sodium chloride (Figure S3), demonstrating that electrostatic interactions dominate film assembly and supporting the polyelectrolyte multilayer model of film architecture. Coating development in the automated system was assessed using PLL-g-PEG as the polycation and fluorescein-labeled alginate (F-alg) as the polyanion. Laser scanning confocal microscopy (LSCM) clearly demonstrated the presence of uniform PEM films on autocoated islets (Figure 3a). Moreover, LSCM suggested that films conformed to the geometrically and chemically heterogeneous islet surface, similar to those assembled manually.
Maintenance of islet viability and function is critical to the success of islet transplantation. To assess any impact of this process on islet viability, islets were first autocoated with 8 bilayers of polycation and polyanion without fluorescent tags. Live/dead staining with calcein AM (viable) and ethidium homodimer (nonviable) was performed and images of individual islets were obtained using LSCM. Viability for each islet, defined as viable-stained area divided by area that stained with either dye, was calculated with an image processing algorithm. Autocoated islets (n=50, 99.3% viable) were as viable as islets that were maintained in culture without manipulation (n=46, 99.3% viable, p=0.7, Figure 3b). Islets subjected to centrifugation at 3000 rpm for 15 minutes, a treatment known in our experience to induce minor but discernable damage, displayed a small but statistically significant reduction in islet viability (n=31, 97.9% viable; p=2.25 × 10 −7). These data demonstrate that the autocoating process has no effect on biological viability.
Murine islets with high viability and function adopt a spherical, smooth edged morphology when maintained in culture, while islets exposed to stress tend to adopt a more ruffled surface.[24] To quantitatively assess changes in morphology, the circularity of individual islets was measured from light micrographs using an algorithm from ImageJ image processing software (Figure 3c–e). Circularity, a geometrical ratio defined by Equation (1), approaches 1.0 for perfect circles with smooth edges and decreases toward 0.0 when edge abrasions or defects increase perimeter but not area.
(1) |
Autocoating did not cause a significant reduction in circularity relative to uncoated islets (Figure 3f, p=0.7). Mean circularity of autocoated islets (n=88) was slightly higher than that of manually coated islets (0.570 vs. 0.531), but this difference was not statistically significant (p=0.07). Circularity analysis, like the viability analysis described above, was sufficiently sensitive to detect a significant difference between centrifuged islets (n= 30, Circularity = 0.301) and islets that had not been manipulated (n= 53, Circularity = 0.578; p=1.2 × 10−16).
Islet function was assessed using an established glucose stimulation protocol and quantitative insulin detection via ELISA. Insulin secretion did not differ significantly between autocoated and uncoated islets in either basal (p=0.6) or high (p=0.7) glucose solutions (Figure 3g). The stimulation index, the ratio of insulin secretion in high versus low glucose conditions, was not significantly different between autocoated (5.93) and uncoated (5.28) islets (p=0.95).
In summary, we present an automated filtration and wash strategy to assemble LbL nanothin films on isolated pancreatic islets. This approach affords high quality films in a manner that is sufficiently gentle to maintain high islet viability, function, and structural integrity while reducing the likelihood of user error. Central to this effort was the adaptation of machine vision technology to sub-milliliter volume fluid measurements that created a closed feedback loop in the automated system. This report builds on our previous work describing a new class of PEM films that can be assembled on viable cells and tissues. This represents the first report of fully automated assembly of PEM films on viable cell aggregates, and represents an important step towards realizing the potential of PEMs as a cell surface engineering strategy through process automation. Knowledge gained from this study may also prove useful for processing of single cells and micron-scale particles in a controlled, high throughput manner without the need for centrifugation or manual filtration.
Experimental Section
Experimental information is available in Supplementary Information, available from the Wiley Online Library or from the author.
Supplementary Material
Acknowledgments
This work was funded by NIH grant DK069275 (E.L. Chaikof)
Footnotes
Supporting Information is available from the Wiley Online Library or from the author.
Contributor Information
Joseph M. Mets, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA, 30332 (USA)
Dr. John T. Wilson, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA, 30332 (USA)
Dr. Wanxing Cui, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA, 30332 (USA)
Prof. Elliot L. Chaikof, Email: echaikof@bidmc.harvard.edu, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, and the Wyss Institute of Biologically Inspired Engineering of Harvard University, 110 Francis Street, Suite 5B, Boston MA, 02115 (USA)
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