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. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: J Biophotonics. 2018 Sep 25;12(4):e201800170. doi: 10.1002/jbio.201800170

Monitoring Implantable Immunoisolation Devices with Intrinsic Fluorescence of Genipin

Edorta Santos-Vizcaino 1, Henry Haley 2, Ainhoa Gonzalez-Pujana 3, Gorka Orive 4, Rosa Maria Hernandez 5, Gary D Luker 6,*, Jose Luis Pedraz 7,*
PMCID: PMC6351221  NIHMSID: NIHMS983544  PMID: 30058289

Abstract

Imaging of implanted hydrogel-based biosystems usually requires indirect labelling of the vehicle or cargo, adding complexity and potential risk of altering functionality. Here, for the first time, it is reported that incorporation of genipin into the design of immunoisolation devices can be harnessed for in vivo imaging. Using cell-compatible in situ cross-linking reactions, a fast, efficient and non-cytotoxic procedure is shown to maximize fluorescence of microcapsules. Moreover, genipin is validated as a quantitative imaging probe by injecting increasing doses of microcapsules in the subcutaneous space of mice, obtaining strong, stable fluorescence with good linearity of signal to microcapsule dose over several weeks. This allows immediate assessment of the actual injected dose and monitoring of its position over time, thereby significantly enhancing the efficacy and biosafety of the therapy. These outcomes may facilitate clinical translation and optimize medical applications of multiple hydrogel-based biotechnologies.

Keywords: Genipin, quantitative imaging, biosafety, immunoisolation devices, hydrogels


Genipin is incorporated into hydrogel-based immunoisolation devices as a quantitative imaging probe. Increasing doses of microcapsules are injected subcutaneously in mice, obtaining strong, stable fluorescence with good linearity of signal to microcapsule dose over several weeks. This allows immediate assessment of the actual injected dose and monitoring of its position over time, thereby enhancing the efficacy and biosafety of the therapy.

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Designing hydrogel technologies for detection by imaging frequently requires modifying the hydrogel itself[1, 2] or the cargo,[3] adding complexity to overall design and potentially altering mechanical and functional characteristics.[4] We sought to overcome these challenges by incorporating a biomaterial with inherent imaging properties into device design. While applicable broadly to other areas in biotechnology, in the present study we focus on immunoisolation devices consisting of alginate microspheres coated with a semipermeable membrane formed by polycations (usually poly-L-Lysine or poly-L-ornithine). The membrane protects the encapsulated cell content against immune cell and antibody mediated host’s rejection, while allowing the inward diffusion of nutrients and oxygen, and the release of bioactive compounds into the surrounding tissue. This approach currently is one of the leading strategies to deliver bioactive molecules from immobilized allo- or xenogenic cells.[5, 6] To date, remarkable outcomes have been obtained in clinical trials for the treatment of chronic diseases such as diabetes[7, 8] or cancer.[9, 10] However, development of a suitable non-invasive visualization strategy that provides relevant information about implanted microcapsules becomes crucial to make the definitive leap to the clinic.[11–13]

In this sense, one of the main problems lies in the impossibility to ensure the correct administration of the intended dose. This is because, to the best of our knowledge, to date there is no tool to immediately assess (quantitatively) the actual injected dose and then monitor its position and stability for long periods of time (maintaining a reliable, precise and stable signal/dose relation). Alternative imaging strategies, such as reporter genes based on luciferase or fluorescence proteins, provide poor information immediately after injection, since the hypoxic stress suffered by encapsulated cells during the first days post-implantation makes the emitted signal unreliable.[14–16]

Genipin is a natural compound with dual properties that uniquely meet the demand for a hydrogel technology detectable through imaging. Strikingly, while benefits of genipin as a cross-linker are increasingly appreciated due to its superior biocompatibility, use of natural fluorescence from this material has generally been overlooked or considered only anecdotally.[17–20] Contrarily, in the nano-scale, genipin-cross-linked globin-PEI nanoparticles[21] and genipin cross-linked ovalbumin protein nanoparticles[22] have been recently reported as suitable for in vivo imaging. However, described methods are far from being applicable to higher scaled cell-laden hydrogels for cell therapies. Indeed, to the best of our knowledge, no one has achieved a cytocompatible in situ cross-linking of genipin with optimal brightness for in vivo imaging of hydrogel technologies.

Here, for the first time, we harness the natural fluorescence of genipin to produce bright, quantitative and stable fluorescence for in vivo imaging of cell-laden hydrogel systems. Following excitation with red light, genipin emits far-red fluorescence with a broad tail extending into the near infra-red spectrum (Figure S1).[21] These wavelengths of light are highly favorable for in vivo imaging studies, particularly for hydrogels designed for implantation in superficial sites such as subcutaneous, subdermal, or intra-ocular.[23] Our results obtained with alginate-poly-L-Lysine immunoisolation devices show that fluorescence from genipin meets the need for quantitative imaging of implanted biomaterials. By incorporating a biomaterial with inherent imaging properties into device design, this ground-breaking advance will facilitate clinical translation of a wide range of hydrogel technologies for cell-based therapies and tissue engineering.

To obtain a good signal to noise ratio for imaging in vivo, maximizing the fluorescence becomes indispensable. Thus, we first optimized the cross-linking procedure of genipin while maintaining cell viability using D1 mesenchymal stem cells from Balb/c mice genetically engineered to secrete human erythropoietin (D1-MSC-hEPO). We subjected cells encapsulated in alginate-poly-L-Lysine (AP) to different combinations of genipin concentrations (0.001%, 0.01% and 0.1%) and exposure times (5, 15, 30 and 60 min at room temperature) (Figure 1a). For each grouping, we recorded fluorescence intensity of the microspheres (Ex: 590 nm; Em: 630 nm) and viability of encapsulated cells. We plotted results as a function of these two variables (Figure 1b,c). As a control group, we used cells immobilized in non-cross-linked AP microcapsules. Based on these screening assays, we chose the best four conditions where we obtained the highest fluorescence intensities with statistically non-significant losses in viability compared with the AP control group (Figure 1b,c, white points): 0.01% & 30 min < 0.01% & 60 min < 0.1% & 5 min < 0.1% & 15 min (p < 0.001 for all comparisons) (Figure S2).

Figure 1. Optimization of genipin cross-linking procedure in cell-laden microcapsules.

Figure 1.

D1-MSC-hEPO enclosed within AP microcapsules were subjected to increasing genipin concentrations (0.001%, 0.01% and 0.1%) and exposure times (5, 15, 30 and 60 min) to find the optimum conditions. a, Representative epi-fluorescence micrographs of each concentration and time combination. Scale-bar, 400 µm. b, Three-dimensional plot representing mean metabolic activity values of encapsulated cells in function of different genipin concentrations and exposure times. The white line indicates the mean value from non-cross-linked AP control group. c, Three-dimensional plot representing mean fluorescence intensities of AP microcapsules in function of different genipin concentrations and exposure times. b,c, Color scale from light red to dark red denotes highest and lowest values, respectively. The white points depict the highest fluorescence signal intensities obtained without affecting cell viability (non-significant differences against cells encapsulated in non-cross-linked AP microcapsules, p > 0.05). Statistical analysis: one-way ANOVA with Bonferroni multiple comparison correction, n = 5 samples for each assay. d, Analysis of the conditions selected in (b,c) by means of confocal fluorescence microscopy. From left to right: representative confocal fluorescence micrographs, profile lines and 3D surface plots of the fluorescence signal distribution and intensity from the equatorial section of microcapsules. Scale bar, 200 µm. FL, fluorescence.

After examining these four protocols in detail (Figure 1d), we chose 0.1% genipin and 5 min exposure time as the optimum conditions. Despite rendering lower fluorescence intensity than the 0.1% & 15 min combination, the latter showed more internal fluorescence (cross-linked cells), so we preferred shorter exposure times to accelerate the coating process and allow greater flexibility and safety margin with respect to cell viability. Indeed, most studies to date use longer exposure times to genipin (from 30 min to 24 hours),[17, 20, 24] which may limit dramatically the applicability of this cross-linking agent for cell microencapsulation purposes. Thus, our genipin-meditated cross-linking procedure is fast, efficient and non-cytotoxic, even in the presence of cells.

With the aim of maximizing fluorescence signal of the microcapsules, we next added a second coating of poly-L-Lysine (PLL) cross-linked with genipin, following the same protocol described above (0.1% genipin and 5 min exposure). This process produced genipin-cross-linked double poly-L-Lysine membranes (GDP) (see 3D morphology in Video S1). As intermediate control groups, we also tested AP microcapsules cross-linked with genipin (APG), AP with a second PLL coating (APP) and APG microcapsules with an additional covering of PLL (APGP) (Figure 2a). All genipin-containing groups developed maximum fluorescence values after 72 – 96 hour periods of incubation (cell culture conditions, after exposure to genipin) (Figure 2b), following a first-order reaction (Figure S3). Interestingly, we could clearly observe that GDP microcapsules emitted 6-fold higher fluorescence intensity than APG and APGP counterparts (p < 0.01 and 0.001, respectively) (Figure 2c,d), probably due to increased availability of PLL for cross-linking. This gain in fluorescence is essential for maximizing the signal to noise ratio for imaging in vivo. In addition, we easily can augment fluorescence intensity by producing smaller size microcapsules. Here, we obtained a 2.5 fold-increase in fluorescence intensity by just reducing diameter of microcapsules by 33% (p < 0.01) (Figure S4).

Figure 2. GDP microcapsules maximize the fluorescence of genipin while preserving cell viability and function.

Figure 2.

a, Eschematic depiction showing GDP microcapsules and all the intermediate control groups assayed in the study. b, Reaction kinetics of genipin fluorescence development (Em: 590 nm; Ex: 630 nm) (n = 4 samples per group). Error bars, mean ±SD. c, Fluorescence intensity of microcapsules 96 h after encapsulation (n = 4 samples per group). Error bars, mean ±SD. **, p < 0.01; ***, p < 0.001; One-way ANOVA with Tamhane multiple comparison correction. d, Confocal fluorescence analysis of microcapsules. From left to right: representative confocal fluorescence micrographs, profile lines and 3D surface plots of the fluorescence signal distribution and intensity from the equatorial section of microcapsules. Scale bar, 200 µm. e, Metabolic activity of encapsulated D1-MSC-hEPO cells (n = 4 samples per group) 96 h after encapsulation. Error bars, mean ±SD. N.S. specifies non-significant differences against the AP group, p > 0.05; One-way ANOVA with Bonferroni multiple comparison correction. Mann–Whitney U test was used with APP group (non-normal distribution). f, Representative confocal fluorescence image of cells encapsulated in GDP microcapsules and probed with LIVE/DEAD viability kit (Green, living cells; Red, dead cells) 14 days after encapsulation. g, hEPO secretion of immobilized D1-MSC-hEPO cells (n = 3 samples per group in duplicate) 96 h after encapsulation. Error bars, mean ±SD. N.S. indicates non-significant differences against the AP group, p > 0.05; One-way ANOVA with Bonferroni multiple comparison correction. FL, fluorescence.

To exclude any negative effects on cell integrity and function as a consequence of incorporating so many variations in microcapsule design, we tested different control groups to detect possible problems at any step of the formulation. The protocol for producing GDP microcapsules reliably maintained viability of encapsulated cells (Figure 2e,f and Video S2) and the capacity of immobilized cells to secrete high rates of therapeutic product, in this case human erythropoietin (hEPO) (Figure 2g). All these assays showed no significant differences with respect to the AP control group.

Then, we tested performance of GDP microcapsules as a monitoring system for in vivo imaging. For such aim, we implanted 50, 100 or 200 µL of GDP microcapsules (Figure 3a) into the subcutaneous space of NSG mice. Images obtained with 570 nm excitation and a 620/20 emission filter exhibited a strong signal with excellent signal to noise ratio for all injections (Figure 3b). Importantly, we also achieved a good linearity of fluorescence response to microcapsule dose (R2 = 0.9971) (Figure 3c). We next monitored fluorescence of genipin at days 1, 14, 21 and 35 to validate robustness and long-term stability of this non-invasive visualization strategy (Figure 3d-g). The signal decreased significantly in 50 µL dose by day 21 (p < 0.05) but remained relatively stable until day 35. Conversely, 100 and 200 µL doses showed strong signals that did not differ from the initial point throughout the experiment (Figure 3h). Because we injected capsules in PBS, fluorescence signal appears modestly less intense and more diffuse on the pseudocolor images of day 1. As PBS resorbs, capsules become slightly more localized and fluorescence signal is clearer. Anyhow, differences with respect to day 1 are not significative in any case (p > 0.05). As a control for stability of fluorescence, we monitored non-implanted GDP microcapsules from the same batch in parallel, showing non-significant differences in signal throughout the experiment (Figure 4a).

Figure 3. GDP microcapsules maintain dose-dependent fluorescence over 35 days in vivo.

Figure 3.

a. White light image of 50, 100 and 200 µL of GDP microcapsules in 1.5 mL microcentrifuge tubes. b. Representative image of a mouse 21 days after injection of GDP microcapsules. We imaged fluorescence from the microcapsules with 570 nm excitation and 620 nm emission. Scale bar denotes range of photons displayed on a pseudocolor scale with yellow and dark red denoting highest and lowest values, respectively. c, Graph displays dose-dependent response of average radiant efficiency for GDP microcapsules. Error bars, mean ± SD (n=4 per condition) d–g. Panels show representative fluorescence images of mice 1, 14, 21 and 35 days after subcutaneous injection of microcapsules. We used the same pseudocolor scale from panel (b) to display fluorescence. h. Graph shows fluorescence of GDP microcapsules remained relatively constant over 35 days. Data are normalized to day 1 images. Error bars, mean ± SD. *, p < 0.05; Paired, two-tailed t-test, n = 4 mice per dose.

We further analyzed imaging data to validate genipin as a quantitative imaging probe for implanted biomaterials. We first calculated the correlation between administered dose and measured fluorescence signal. A scatter plot of dose versus radiant efficiency and analysis of the linear regression confirmed the linear correlation (p < 0.001) and the significance of the slope obtained from the equation (p < 0.001). However, the goodness of fit demonstrated that only 66.14% of the results could be explained by this equation (Figure 4b). Taking into account the high R-squared observed when we used mean values, instead of individual values, for linear regression (Figure 3c), we hypothesized that low precision arisen from either instrument or human error should be behind the poor fitting. In addition, from mean and SD values of the background signal, we estimated the lower limit of detection (LLD) and the lower limit of quantification (LLQ), obtaining doses equivalent to 18.6 µL and 59.6 µL for each of them respectively (Figure 4b). This means that the significant signal decay observed for 50 µL dose over time (Figure 3h) should be considered as non-reliable figure 4.

Figure 4. Analysis of obtained imaging data to validate genipin as a quantitative imaging probe.

Figure 4.

a. We monitored non-administered GDP microcapsules in parallel throughout experiment. Error bars, mean ±SD. N.S., non-significant (p > 0.05); Paired, two-tailed t-test, n = 5 independent experiments per time-point. b. Scatter plot of the Dose vs Radiant Efficiency showing the linear regression equation with 95% prediction interval. Each dot in the plot represents an individual measurement for each mouse, time point and dose. The linear correlation was confirmed by ANOVA (p < 0.001). The significance of the equation slope was statistically verified by means of the linear regression t-test. LLD, lower limit of detection. LLQ, lower limit of quantification. c. Variability of measurements taken at different time points for each dose (repeatability or instrument error). Error bars, mean ±SD. *, p < 0.05; One-way ANOVA with Bonferroni multiple comparison correction, n = 4 mice per dose. d. Variability of the injection procedure, reproducibility or human error expressed as the dose calculated for each mouse and the CV of their mean. e. Scatter plot representing the Expected vs Obtained dose values. Each dot in the plot signifies an individual calculated value for each mouse, time point and dose. Colored area within dotted lines, 95% confidence interval. The linear correlation was tested by ANOVA (p < 0.001). The significance of the equation slope was statistically proven by a linear regression t-test. f. Accuracy of results for each particular dose expressed as error percentage.

Considering the proven stability of the fluorescence signal, we calculated the variability of measurements taken at different time points for each dose as an indicator of the instrument error (repeatability). The lowest dose of 50 µL produced a significantly higher coefficient of variation (CV) (46.5%), whereas 100 and 200 µL doses presented 25.7% and 20.8% respectively (Figure 4c). These results are comprehensible if we take into account 50 µL dose is below the LLQ. Consequently, the high variability of the lowest dose may be the main determinant of the poor goodness of fit. By isolating this variability, we also determined the human error in the injections of the microcapsules (i.e. dose preparing and administration of microcapsules). Thus, in the present study we estimated a CV of 39.8%, 50.8% and 22.2% for 50, 100 and 200 µL doses respectively (Figure 4d). On the other hand, linear regression analysis of the scatter plot for expected versus measured values confirmed the slope of the equation was equal to 1 (p < 0.001) and the intercept equal to 0 (Figure 4e). Indeed, the accuracy of the results with all doses was close to the 100% (Figure 4f).

These results reveal that genipin-mediated fluorescence in GDP microcapsules is detectable even at low doses (50 µL is below the usually administered dose) (LLD = 18.6 µL) and reliably quantifiable from 100 µL and higher (LLQ = 59.6 µL). The ability to image GDP fluorescence provides a powerful tool to immediately assess the quality of injection and then monitor stability of microcapsule signal over time with more than acceptable variability of measurements with usually administered doses (> 200 µL). Human errors we made and quantified in the present study are common in standard practice in the field of cell microencapsulation but undetectable without the technology described here. Therefore, GDP microcapsules represent a valuable tool to ensure correct administration of the intended dose and improve efficacy and biosafety of cell encapsulation therapies in the clinical routine.

Unlike hydrogels with homogeneous cross-linking throughout their whole volume, GDP microcapsules, as cell-laden alginate microspheres with fluorescence limited to the external membranes (few microns), represent a demanding model for genipin-mediated in vivo imaging. This means that as capsule diameter increases, fluorescence signal related to a particular administered dose diminishes. Therefore, this visualization strategy will work much better when using particle sizes with high surface-area-to-volume ratio. Future studies will also reveal the feasibility of GDP capsule design for other usually used routes of administration, including intraperitoneal, intravitreal or intracranial.

In summary, we present a multidisciplinary approach to develop implantable biosystems based on hydrogels with intrinsic fluorescence for in vivo imaging. In particular, we have shown that the use of genipin, an increasingly accepted cross-linker, functions as an excellent quantitative imaging probe to be included in the design of immunoisolation devices. Through this strategy, we have managed to visualize not only the location of the implanted microcapsules, but also to evaluate the actual injected dose, which may improve significantly the efficacy and biosafety of the therapy. As fluorescence imaging systems are gradually implemented in clinical practice, we believe these outcomes will have direct applicability to advance design of multiple hydrogel-based biotechnologies, including drug and cell delivery systems, vaccines or biosensors.

Experimental Section

All materials and methods used in this study are thoroughly detailed in the Supporting Information.

The University of Michigan IACUC approved all animal procedures.

Supplementary Material

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Video S1
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Acknowledgements

This project was supported by the Basque Government (Consolidated Groups, IT-907–16) and United States of America grants from the National Institutes of Health (R01CA196018 and U01CA210152). Ainhoa Gonzalez-Pujana thanks the Basque Government (Department of Education, Universities and Research) for the PhD grant. Authors thank for the technical and human support provided by SGIker of UPV/EHU, European funding (ERDF and ESF) and ICTS “NANBIOSIS” (Drug Formulation Unit, U10) of the CIBER-BBN at the University of Basque Country UPV/EHU in Vitoria-Gasteiz. We also thank Dr. Felipe Prosper at the University Clinic of Navarra (CUN) for his assistance on the development of the lentiviral vector pSIN-EF2-Epo-Pur. Edorta Santos-Vizcaino thanks Ricardo Andrade and Pedro Guerrero for their technical support and invaluable advice. Both Gary D. Luker and Jose Luis Pedraz are corresponding authors.

Supporting Information: Supporting Information is available from the Wiley Online Library or from the author.

Contributor Information

Dr. Edorta Santos-Vizcaino, NanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, 01006, Spain.; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Vitoria-Gasteiz, 01006, Spain.

Henry Haley, Department of Radiology, Center for Molecular Imaging, University of Michigan Medical School, Ann Arbor, MI 48109, USA..

Ainhoa Gonzalez-Pujana, NanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, 01006, Spain.; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Vitoria-Gasteiz, 01006, Spain..

Dr. Gorka Orive, NanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, 01006, Spain.; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Vitoria-Gasteiz, 01006, Spain.

Prof. Rosa Maria Hernandez, NanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, 01006, Spain.; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Vitoria-Gasteiz, 01006, Spain.

Prof. Gary D. Luker, Department of Radiology, Center for Molecular Imaging, University of Michigan Medical School, Ann Arbor, MI 48109, USA.; Department of Biomedical Engineering, University of Michigan Medical School, Ann Arbor, MI 48109, USA.; Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109, USA..

Prof. Jose Luis Pedraz, NanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, 01006, Spain. : Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Vitoria-Gasteiz, 01006, Spain..

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