Abstract
Substantial amounts of non-endocrine cells are implanted as part of human islet grafts, and possible influence of non-endocrine cells on clinical islet transplantation outcome has been postulated. There are currently no product release criteria specific for non-endocrine cells due to lack of available methods. Aims of this study were to develop a method for the evaluation of pancreatic ductal cells (PDC) for clinical islet transplantation, and to characterize them regarding phenotype, viability and function.
We assessed 161 human islet preparations using laser scanning cytometer (LSC/iCys) for phenotypic analysis of non-endocrine cells and flow cytometer (FACS) for PDC viability. PDC and β-cells obtained from different density fractions during the islet cell purification were compared in terms of viability. Furthermore, we examined PDC ability to produce pro-inflammatory cytokines/chemokines, vascular endothelial growth factor (VEGF) and tissue factor (TF), relevant to islet graft outcome.
Phenotypic analysis by LSC/iCys indicated that single staining for CK19 or CA19-9 was not enough for identifying PDC, and that double staining for amylase and CK19 or CA19-9 allowed for quantitative evaluation of acinar cells and PDC content in human islet preparation. PDC showed a significantly higher viability than β-cells (PDC vs. β-cell: 75.5±13.9 and 62.7±18.7 %; p<0.0001). Although β-cells viability was independent from the density, that of PDC was higher as the density from which they were recovered increased. There was no correlation between PDC and β-cells viability (R2=0.0078). PDC sorted from high-density fractions produced significantly higher amount of pro-inflammatory mediators and VEGF, but not TF.
PDC isolated from different fractions had different viability and function. The precise characterization and assessment of these cells in addition to β-cells in human islet cell products may be of assistance in understanding their contribution to islet engraftment and in developing strategies to enhance islet graft function.
Keywords: Human pancreatic ductal cells, Islet transplantation, Assessment, Cytokines, Laser Scanning Cytometer, VEGF, IL-8, CA19-9
Clinical islet transplantation results in insulin independence and normalization of glycemic control in patients with type 1 diabetes mellitus1-4. Current limitations of this approach include survival of transplanted islets, which eventually leads to reintroduction of exogenous insulin 4-6. Reduction or impairment of islet regeneration might potentially contribute to the observed loss of function over time in islet graft recipients. This phenomenon may be associated with adverse effects of immunosuppressive drugs, the unsuitable implantation site (liver) for islet regeneration, and/or loss of β-cell precursors in the transplanted islet preparations 7-9.
Pancreatic ductal cells (PDC) have been shown to differentiate into insulin-producing cells in rodents and humans 10-13. PDC can improve islet survival 14 and engraftment in rodents, which was associated with their ability of producing Insulin Growth Factor II15. Moreover, Korbutt et al. have reported a positive correlation between the proportion of transplanted PDC and the long-term metabolic success of clinical islet transplantation 16. Additionally, Pipeleers et al. have recently shown that PDC could produce higher amounts of IL-8 and Vascular Endothelial Growth Factor (VEGF) than islet cells, which could be helpful for revascularization in islet grafts 17. Conversely, PDC express tissue factor (TF) and cytokines/chemokines that may be detrimental to islet engraftment 18,19. Thus, the contribution of PDC to islet graft needs to be better characterized.
Current release criteria for human islet cell products include islet purity and yield based on dithizone (DTZ) staining 20, which provides an estimate of endocrine cell mass in the preparation. The actual purity of islet preparations transplanted into patients averages 50-60%, indicating that a substantial mass of non-endocrine cells, mainly acinar cells and PDC, are also implanted. Notably, the current product release criteria do not take into account non-endocrine cell quality and quantity, even though emerging data suggests their possible influence on clinical islet transplantation outcome 16. In addition, there is no reliable method available to evaluate PDC in the islet cell product. Consequently, only few transplant centers have performed pre-transplant evaluation of PDC and little data is available regarding the effect of transplanted PDC on islet grafts.
In the present study, we developed a novel method to evaluate PDC-specific viability and content based on the use of laser scanning cytometry (LSC/iCys) and flow cytometry (FACS). This assay extends and complements our previously reported method for the assessment of β-cell-specific viability and content in islet preparations 20. This method allows for the evaluation of cell subset specific viability (PDC and β-cells) simultaneously as well as for the detailed phenotypic analysis of PDC and acinar cells. We investigated PDC phenotype, viability and function in 161 human islet preparations. PDC content widely varied among islet preparations even though they had similar purity. PDC isolated from different density fractions showed wide variations in the viability and the production of pro-inflammatory cytokine/chemokine, VEGF and tissue factor, which are relevant to islet transplantation outcomes.
RESERCH DESIGN AND METHODS
Human islet isolation
Islet isolations were performed using a modified automated method from pancreata preserved with University of Wisconsin solution alone or with pre-oxygenated two-layer perfluorocarbon at the Human Cell Processing Facility of the University of Miami School of Medicine22, 23.
Islets were purified using a semi-automated cell processor (Cobe 2991; COBE Laboratories, Inc. Lakewood, CO) in a refrigerated (4°C) room. The purification procedure consisted of a continuous gradient purification performed by loading 1.100g/mL (osmolality 320–373 mOsm/kg/H2O) and 1.077 g/mL (285–327 mOsm/kg/H2O) Ficoll-based density gradients using a gradient maker device, followed by top-loading of the pancreatic digest (≤20 mL of tissue/run) in UW solution 24. After 5 min of centrifugation at 2,400 rpm, approximately 15 fractions were collected. Islet fractions were combined based on the purity assessed by DTZ. In general, the fractions with highest islet purity were collected from the low-density fractions 4-7 (density 1. 081-1.085 g/ml). Medium and high-density islet fractions were combined with fractions 8-10 and 11-14 (1.86-1.090 and 1.091-1.095 g/ml, respectively).
Assessment of PDC content using LSC/iCys
Assesments of PDC content and viability were performed 48-72 hours after isolation. Single cell suspensions were obtained by incubating aliquots of approximately 2,000 islet equivalents (IEQ) in 1 ml Accutase (Innovative Cell Technologies, Inc, San Diego, CA) at 37°C for 10 min, as described 21. Dispersed cells were fixed on glass slides with 2.5% paraformaldehyde (Electron Microscopy Sciences, Washington, PA). After incubating with Protein Block (Bio-Genex, San Ramon, CA), cells underwent 2 hours incubation with primary antibodies: mouse monoclonal anti-cytokeratin (CK)-19 (1:50; Dako North America, Inc, Carpinteria, CA); rabbit polyclonal anti-CK19 (KRT19)(1:200; Protein Tech Group, Inc, Chicago, IL); mouse monoclonal anti-CA19-9 (1:100; Novocastra, UK) and rabbit polyclonal anti-amylase (1:5,000; Amy; Dako). A 1 hour incubation with secondary antibodies included Alexa Fluor-488 goat anti-mouse IgG and Alexa Fluor-647 goat anti-rabbit IgG (1:200; Molecular Probes, Eugene, OR). Nuclear staining was obtained with 4’, 6-diamidino-2-phenylindole (DAPI; 16.7 μg/ml; Molecular Probes). Samples were analyzed using a laser scanning cytometer (LSC) or an iCys (CompuCyte, Cambrige, MA). Slides were scanned at 40x. Each fluorescent positive event was recorded using the argon/HeNe/violet laser. Single cells were identified and gated according to the DAPI staining area (Figure 1A). Cells from every subpopulation were visualized directly in the LSC/iCys by re-localization to confirm regular morphology (Figure 1C). A minimum of 5,000 cells was acquired and analyzed for each sample 20.
Figure 1. Phenotypic analysis of PDC in human islet preparations by LSC/iCys.

An aliquot of islet preparations was dissociated to obtain single cell suspensions. Fixed cells were stained with anti-CK19, amylase, glucagon, somatostatin and insulin antibodies. The appropriate fluorochrome-conjugated secondary antibody was subsequently added.
A: Single cells were identified based on DAPI fluorescence emission area, while aggregated cells were excluded from further analysis. B: The LSC/iCys analysis of the double staining with CK19 and amylase revealed five cell subsets based on the intensity of fluorescence. C: Cells from every subpopulation were directly visualized by re-localization system in the LSC/iCys to confirm regular morphology. Double staining with anti-CK19 was performed to identify the cell population with the phenotype of CK19dull and Amylase-. The results showed CK19dull expression was absent in β-cells (D) but present in α-cells (E) and δ-cells (F). The experiments shown are representative of five independent human islet preparations.
Assessment of PDC-specific viability
Single cell suspensions were incubated for 30 min at 37°C in phosphate buffered saline (PBS) without Ca2+ and Mg2+ with Newport Green PDX acetoxymethylether (NG; 1μM) and tetramethylrhodamineethylester (TMRE; 100 ng/ml; both from Molecular Probes). Cells were incubated with anti-CA19-9 antibody (1:100) for 15 min followed by goat anti-mouse antibody (Alexa-647). After washing, cells were stained with 7-aminoactinomycin D (7-AAD; Molecular Probes), a marker of cell death. Cell suspensions were analyzed (minimum 3.0×104 events) using a FACScan cytometer with the CellQuest-pro software (Becton Dickinson, Mountain View, CA). We have evaluated apoptosis selectively in the NGbright and CA19-9+ cells according to the scheme in Figure 3. After counting, dead cells (7-AAD+) were excluded from further analysis, live β-cells (NGbright) and PDC (CA19-9+) were analyzed for mitochondrial membrane potential (TMRE), which allows discriminating between healthy (TMRE+) and apoptotic (TMRE-) cells. The percentage of TMRE+ on each cell subset was decided based on the gate of TMRE unstained samples.
Figure 3. Analysis of CA19-9 expression in PDC revealed the variability in individual human islet preparations.

Analysis of 203 fractions from 106 independent human islet preparations were examined to evaluate PDC content using anti-CA19-9 antibody on dissociated cells by FACS. A negative correlation between the percentage of CA19-9+ and islet purity assessed by DTZ was observed.
Delivery of pro-apoptotic stimuli to islet and non-endocrine cells
Islets were treated with selected compounds for 24 hours to induce apoptosis, as described 27, including the nitric oxide donor, S-Nitroso-N-acetyl-DL-penicillamine (SNAP; 0.5mM, Sigma); hydrogen peroxide (H2O2 200μM; Sigma); or cytokine cocktail with IL-1-β (50U/ml), TNF-α (1,000U/ml) and IFN-γ (1,000U/ml). Hypoxic stress was induced by a 6-hour incubation of islet aliquots as a pellet into a 15 ml conical tube filled with culture medium 20.
PDC sorting
Dispersed cells were incubated with anti-CA19-9 antibody for 30 minutes followed by a 10 min incubation with magnetic beads coated with an anti-mouse IgG (Miltenyi Biotec, Auburn, CA). The cell suspension was passed through a MACS separation column (Miltenyi Biotec, Auburn, CA) to obtain positive selection of CA19-9+ cells. The efficiency of sorting was confrimed by FACS analysis 25.
Production of inflammatory mediators and VEGF by PDC
During islet purification by density gradients, pancreatic tissue fractions with different densities (low=1.080-1.085, medium=1.086-1.090, high=1.091-1.095 g/ml) were collected. PDC were sorted from high and low-density fractions obtained from five independent islet preparations. Enriched PDC (1×106/ml) were cultured for 24 hours 32. Concentrations of pro-inflammatory mediators (namely, IL-1 β, IL-6, IL-8, IFN-γ, MCP-1, MIP-1β, and TNF-α) and VEGF in supernatants were determined using Multi-Plex cytokine kits following the manufacturer’s protocol (Bio-Plex; Bio-Rad Laboratories, Hercules, CA). Additionally, PDC were homogenized, and TF measured by ELISA (Imubind Tissue Factor, American Diagnostica, Greenwich, CT, USA) 27. The amount of cytokines/chemokines, VEGF and TF was normalized by total PDC protein content.
In vitro viability assessment of islet preparations cultured with or without PDC
Islet preparations (3,000IEQ, purity>95%) were cultured with or without sorted PDC for 48 hours. The assessment of β-cell specific viability was performed as described 21.
In vivo assessment of islet potency in the diabetic nude mouse model
Animal protocols were approved by IACUC. Athymic nu/nu mice (Harlan Laboratories, Indianapolis, IN) were rendered diabetic with Streptozotocin (200 mg/kg, single intravenous administration; Sigma, St Louis, MO). Diabetes occurrence (>300 mg/dl) was monitored by measurements of non-fasting blood glucose concentrations.
Human islets (2,000 and 1,000 IEQ, purity >95%) alone or with sorted PDC (3 × 106) were transplanted under the kidney capsule of diabetic immunodeficient mice as described 23. After transplantation, non-fasting blood glucose values were assessed to determine reversal of diabetes (defined as stable non-fasting blood glucose <200 mg/dl). Nephrectomy of the graft-bearing kidney was performed to exclude residual function of the native pancreas 23.
Statistical analysis
Data were analyzed using Excel for Windows software. Data are shown as mean ± standard error of the mean (SEM). Statistical analyses were preformed using methods appropriate to each specific analysis including Student’s t-tests for two sample comparisons of independent groups, and two-factor analysis of variance (ANOVA) for analyses of ductal and β-cell viability from different density fractions. Statistical significance was considered for p-values <0.05. Logistic regression was then used to explore the influence of the two factors separately.
RESULTS
Phenotpic analysis of non-endcrine cells in islet prepatrations using LSC/iCys
To assess the proportion of non-endocrine cells in islet preparations, amylase (Amy) and CK19 were used for the identification of acinar cells and PDC, respectively. This led to the identification of five cell subpopulations (Amy-CK19negative, Amy+CK19negative, Amy-CK19dull Amy+CK19bright Amy-CK19bright, Figure 1B). Although LSC/iCys analysis clearly showed Amy+CK19negative cells indicating exocrine cells, another cell subset Amy+CK19bright was also identified in most of human islet preparations.
In order to characterize this Amy-CK19dull population, immunostaining for insulin, glucagon and somatostatin was combined with CK19. The LSC/iCys analysis revealed that α-cells and δ-cells, but not β-cells, do express CK19dull (Figure 1D-1F). The proportion of β-, α-, δ-, Amy+CK19negative, Amy-CK19bright and Amy+CK19bright cells from 106 islet preparations were 21.1±8.7, 19.1±8.4, 3.8±2.1, 10.4±8.1, 10.4±8.2 and 6.4±3.2 %, respectively.
These results indicate that single staining for CK19 is not specific for evaluating PDC content in islet preparations, and that LSC/iCys analysis allows for detailed phenotypic analysis of endocrine and non-endocrine cell subsets.
CK19 is an intracellular protein and, therefore, fixation of cells is necessary for its detection by immunostaining precluding its application on live cells. The carbohydrate antigen 19-9 (CA19-9) has been decribed as a pan-ductal membrane antibody for human PDC 25. Therefore, we evaluated the expression of CK19bright cells in 34 islet preparations and compared it to that of CA19-9 using LSC/iCys. A positve correlation between CK19bright and CA19-9+ expression was observed (R2=0.8752, p=0.032)(Figure 2A). Moreover, α-cells and δ-cells expressing CK19dull resulted negative to CA19-9, while a fraction of CA19-9+ cells expressed amylase (Figure 2B, 2C, 2D).
Figure 2. Analysis of CA19-9 expression in human islet preparations.

The expression of CA19-9, the pan-ductal membrane antibody, was compared to that of CK19 using LSC/iCys. A: There was a tight correlation observed between the percentage of CK19high and CA19-9+ populations (n=34). B, C, D: To confirm the specificity of CA19-9 antibody in PDC, double staining with anti-glucagon, somatostatin and amylase antibodies was performed. The results showed CA19-9 expression was absent in α-cells(B) and δ-cells(C) but present in some acinar cells (D). The data shown is representative of five independent human islet preparations.
These results suggest that CA19-9 is a better maker for identifying PDC than CK19 in terms of excluding the contamination of α and δ cells from the analysis without double staining, and that even the single staining of CA19-9 could not exclude the double positive cells with amylase from the analysis for the identification of PDC.
We examined 203 purified fractions from 106 human islet preparations with different purities assessed by Ditizone (DTZ) and compared this to PDC content by CA19-9 immunostaining. Although PDC content and purity by DTZ showed a rough corelation (R2=0.4574), the proportion of CA19-9+ cells in islet preparations widely varied even if they had similar purity assessed by DTZ (Figure 3). This variability might be due to the different ratio of acinar and ductal cells contained in the DTZ negative population. These results indicate that it might be difficult to evaluate PDC content by DTZ staining, while FACS analysis by CA19-9 antibody allowed us to precisely assess PDC content in islet preparations.
Analysis of PDC viability using CA19-9 and TMRE staining
We have developed an analytical method to simultaneously assess the viability of PDC and β-cells as well as the content of both cells by FACS (Figure 4). Viable (non-apoptotic) β-cells and PDC were analyzed for mitochondrial membrane potential by TMRE.
Figure 4. Simultaneous assessment of β-cell and PDC viability by FACS.

Schematics of the analytical methodology utilized to assess simultaneously apoptosis of β-cells and PDC. After dissociation of human islets, single cell suspensions were stained with 7-AAD, NG, CA19-9 and TMRE. The percentage of 7-AAD+ cells (dead cells) is recorded (panel A), and further analysis is performed after their exclusion (gating out). The two subsets identified by NG and CA19-9 staining (panel B) are then individually analyzed for the relative percentages of CA19-9+ cells (PDC; panel C), CA19-9-NG- cells (other cells; panel D) and NG+ cells (β-cells; panel E) expressing TMRE+ (viable cells) and TMRE− (apoptotic cells).
To confirm the value of our refined PDC and β-cell viability assessment method, we evaluated the effects of hypoxic/starving conditions, reactive oxygen species (ROS), nitric oxide (NO), and cytokine cocktail (IL-1β, TNF-α and IFN–γ)(Figure 5A-D). All these noxious conditions led to a measurable decrease in the proportion of viable PDC and β-cells. Moreover, we observed that PDC are more resistant than β-cells to noxious conditions (Figure 5). In this setting, the percentages of NGbright cells were not significantly different between pre and post treatments. The percentage of NGbright cells in pre-treatment, after hypoxic/starving conditions, H2O2, NO, cytokine cocktail treatment were 32.7±4.2%, 30.8±6.1%, 33.6±7.3%, 32.7±7.1%, and 30.0±5.3 %, respectively; p=n.s.)
Figure 5. Analysis of β-cells and PDC apoptosis after delivery of noxious stimuli.

Islet preparations were incubated in the presence or absence of noxious stimuli before assessment of viability in dissociated cells. Islet cell viability following hypoxic/starving conditions (compaction of islet preparations) (panel A), H2O2 (panel B); Nitric Oxide donor SNAP (panel C); and cytokine cocktail (IL1-β, TNF-α and IFN-γ)(panel D). Apoptosis was analyzed by TMRE staining in the β-cell and PDC subsets. Incubation of islet cells in any of the four conditions resulted in increased apoptosis in both β-cells and PDC populations, suggesting a selective pro-apoptotic effect of the studied compounds on both cell subsets. Additionally, these results showed that PDC were more resistant against the noxious conditions, such as H2O2, NO and cytokines than β-cells. Data is representative of at least five independent experiments.
Analysis of PDC viability with different degrees of purity
We examined PDC and β-cell viablity in 202 fractions from 124 human islet preparations. The average PDC viability was higher than that of β-cells (PDC vs. β-cell: 75.5±13.9 and 62.7±18.7%, respectively; p<0.0001). There was no correlation between PDC and β-cell viability (R2=0.0078)(Figure 6A). These results suggested that the assay of heterogeneous cell populations such as FDA/PI, which has been currently used for clinical islet transplantation, could not represent β-cell specific viability.
Figure 6. Analysis of β-cell and PDC-specific viability/apoptosis in islet fractions with different densities.

A: The analysis of 202 islet fractions showed no correlation between β- and PDC-specific viability. B: Representative data comparing three islet cell fractions with different degrees of purity collected from layers with increasing density: after gating the 7AAD− cell population, the percentages of TMRE+ cells in NGbright (β-cells) or CA19-9+ cells (PDC) were analyzed. C: Islet aliquots with different degrees of purity collected from high, medium and low-density layers were assessed by FACS. Although β-cell viability in medium and high-density fractions were significantly high and low when compared to low density fractions, the increase of PDC viability was observed as the density of fraction increased (lower purity).
We selected 31 islet preparations, which had different purity fractions from three different density layers (low=1.080-1.085, medium=1.086-1.090 and high=1.091-1.095 g/ml) for analysis. The islet purity for each density fraction range: 95-71% (high), 70-41 (medium) and 40-10% (low), respectively. PDC and β-cell viability in each fraction was analyzed by FACS (Figure 6B). The relative ratio of PDC and β-cell viability within medium and high-density fractions was calculated in regards to that obtained in the low-density fraction. The highest PDC viability was observed in fractions obtained from high-density, and decreased in those with low-density (medium/low=1.15±0.33, p<0.05; high/low=1.31±0.53, p<0.05) (Figure 6C). However, the analysis of β-cells showed that the relative viability in medium-density fractions was significantly higher, when compared to that of low and high-density fraction (p<0.05, p<0.01, respectively) (Figure 6C). The islet sizes from each density layer were estimated using total IEQ/islet number and compared. Islet sizes from each gradient layer were comparable (high:medium:low = 1.34±0.57:1.38±1.02:1.51±0.92, p=n.s.)
Cytokines/chemokines, VEGF and Tissue Factor production from CA19-9+ cells
To evaluate the function of PDC from different density fractions after purification, we sorted PDC using CA19-9 antibody. Sorted PDC were incubated in culture medium for 24 hours and then supernatant wascollected for the measurement of inflammatory mediators. Recovered cells were homogenized for the measurement of tissue factor(TF), which has been shown to be relevant to clinical outcomes 29, 30. Cytokine and chemokine production from PDC isolated from high-density fractions was higher, when compared to that of low-density fractions. Moreover, PDC isolated from high-density fractions produced significanlty higher amounts of VEGF, which could be benefitial for revascularization after transplantation. The data suggest that PDC with higher viability can produce larger amounts of proinflammatory mediators and VEGF (Figure 7A, Table 1). On the other hand, although impure islet preparations from high-density layers produced higher amount of TF, a significant reduction in TF production was observed from PDC obtained from high-density fractions (Figure 7B, C). These results suggested that the proportion and viability of PDC in islet preparations might be cosidered as one of the important factors that could affect islet graft function.
Figure 7. Functional analysis of PDC obtained from different density fractions.

To evaluate the function of PDC from low or high density purification fractions of the same human islet preparation, PDC was sorted using anti-CA19-9 antibody. The sorted PDC were cultured for 24 hours before collection of supernatnant and of the cells for the measurement of cytokine/chemokine, VEGF and TF production, respectively. A: Cytokine/chemokine and VEGF production in the PDC sorted from high density were higher than that of low-density fractions. B. Impure islet fraction from heavier layer produced significantly higher amount of TF C: A significant reduction in terms of TF production was observed in PDC sorted form high density fraction, when compared to low density fractions. Data is representative of four independent human islet cell preparation.
Table 1.
Cytokine/chemokine and VEGF production in ductal cells sorted from low or high-density layer
| Low density layer (pg/ml) | High density layer (pg/ml) | High/low fold | |
|---|---|---|---|
| IL-12 | 16.8±9.8 | 21.5 ± 8.6 | 1.28 |
| IL-8 | 92,320.0± 21031.5 | 139,788.2 ± 45721.8 | 1.51 |
| Il-6 | 37,021.5 ± 20,586.6 | 69,247.3 ± 36,692.0 | 1.87 |
| MCP-1 | 54,068.3 ± 22,861.6 | 114,258.7 ± 17,140.9 | 2.11 |
| IFN-γ | 152.0 ± 50.2 | 366.5± 101.8 | 2.41 |
| IL-1β | 561.8 ± 684.2 | 1,664.4 ± 3,183.6 | 2.96 |
| TNF-α | 281.0 ± 126.2 | 853.3 ± 266.8 | 3.04 |
| Mip1-β | 1284.7± 654.0 | 6,639 ± 3501.2 | 5.17 |
| VEGF | 19,090.2± 6,647.4 | 67,867.3 ± 15,441.0 | 3.55 |
Effects of PDC on islet potency
To evaluate the effect of PDC on islet potency in vitro, sorted PDC were cultured with pure islet preparations for 48 hours (n=3). β-cell specific viabilty by FACS showed no significnt difference in islets cultured with or without PDC (40.5±2.7, 37.5±1.8%, p=n.s, respectively).
Additionally, using chemically-induced diabetic immunodeficient mice we performed transplantation of islets with or without PDC for 3 independent human islet preparations (Figure 8). There was no significant difference between experimental groups regarding the rate of and the time to diabetes reversal after transplantation in both islet masses utilized.
Figure 8. In vivo assessment of islet potency.

Human islets were implanted with or without sorted PDC under the kidney capsule of chemically-induced diabetic nude mice. Two masses of islets were implanted: 2,000 IEQ (A) and 1,000 IEQ (B) alone (circles) or together with sorted 3×106 PDC (squares). The proportion of diabetic animals after islet transplantation was plotted for the experimental groups: Islets alone (2,000IEQ/mouse; n=6) (●); Islets (2,000IEQ/mouse) + PDC (3×106; n=5) (■); Islets alone (1,000IEQ/mouse; n=7) (○); and Islets (1,000IEQ/mouse) + PDC (3×106; n=7) (□). Nephrectomy of the graft-bearing kidney performed 50 days after implant resulted in prompt return to hyperglycemia (not shown). Data is representative of three independent human islet preparations.
DISCUSSION
In the present study, we demonstrated that the use of three different dyes (7-AAD, NG and TMRE) and one surface (anti-CA19-9) antibody provides precise and objective information on the viability and content of PDC as well as of β-cells. Our results showed that the content and viability of PDC in islet preparations extensively differed, and that PDC from high-density fractions produced higher amount of pro-inflammatory cytokine/chemokine and VEGF but lower tissue factor when compared to low density fractions. Our data suggests that the precise assessment of PDC in addition to β-cells in human islet cell products may be of assistance in developing strategies to enhance islet graft function.
Although the outcomes of clinical islet transplantation have significantly improved, 1-4, almost 90% of the recipients in recent trials required reintroduction of insulin within 5 years 5, 6. This currently limited success imposes us to assess possible reasons for such an outcome, and try to make changes that can allow for long-term graft function. Multiple factors may have contributed to the limited function of transplanted islets in the clinical setting. It is conceivable that a reduction of islet cell regeneration potential may have occurred probably due to the adverse effect of immunosuppressive drugs 31-33, the place of implant (liver) may be unsuitable for regeneration, or/and the loss of β-cell precursors in islet preparations.
Insulin-secreting cells have been obtained in vitro from diverse sources, including embryonic stem cells 34, 35. Several studies suggest that somatic stem cells can give rise to insulin-producing cells, including hepatic oval cells 36, spleen-derived cells 37, and marrow-derived cells 38. PDC are closely associated with β-cells in the human pancreas 39 and have been shown to give rise to endocrine cells in both rodents and humans 10-12. Beneficial effects of PDC on islet cell viability have been described, which may be partially attributed to their ability of producing IGF-II 14, 15. On the other hand, PDC may have detrimental effects on islet engraftment and survival. Exposure of PDC to interleukin-1β (IL-1 β) and interferon-γ (IFN- γ) can result in nitric oxide production in human islets infiltrated by cytokine-releasing immune cells 18. Moreover, contaminating PDC may contribute to early β-cell damage after intrahepatic islet transplantation through their expression of TF 19, 29, 30. Immunogenicity of PDC may also relate to the expression of CD40, a member of the TNF-receptor family that was initially described on B cells, activated monocytes, dendritic, endothelial and epithelial cells as well as fibroblasts 40, 41. Moreover, we recently found that purified pancreatic β-cells express a functional CD40 and that, following engagement with its ligand (CD154) results in the secretion of proinflammatory mediators including IL-6, IL-8, MCP-1 and MIP-1β 42, 43. The CD40-CD154 co-stimulation pathway plays a pivotal role in numerous T-cell-mediated inflammatory disorders 39-41, 44.
Korbutt et al. showed that the number of CK19+ cells in islet preparations correlated well with the long-term metabolic success of clinical islet transplantation 16. This phenomenon may result from a greater frequency of islet cell neogenesis from putative PDC precursors. Additionally, Pipeleer et al. have shown that PDC might be a source of IL-8 and VEGF, which may be beneficial for the revascularization of islets after implantation 17. Human islet grafts include a sizable mass of non-endocrine tissue that is transplanted with endocrine cells, and that may contribute to the early and long-term outcome 4, 5. Rodent studies also suggest that the composition of islet grafts, including endocrine and non-endocrine cell subsets, may influence long-term metabolic function 18, 19.
Prior to the present study, there was no assessment method for the detailed characterization of PDC content and viability. Analysis of non-endocrine cells through LSC/iCys revealed that a substantial amount of Amy+ cells also expressed CK 19, suggesting that a single staining with CK19 could lead to an overestimation of PDC numbers by counting also acinar cell subsets. Moreover, it appears difficult by the means of conventional immunohistochemical techniques distinguishing CK19bright from CK19dull cells, which are mainly composed of α-cells and δ-cells 16. Conversely, the analysis performed by LSC/iCys allowed for an objective and detailed phenotypic analysis of higher numbers of cells in a relatively short time. Moreover, PDC viability might represent a critical variable for both inflammation and regenerative potential after transplantation. Our data indicates that there was wide variability regarding PDC viability based on the analysis of more than 200 human islet fractions. Interestingly, we observed that PDC with higher viability were obtained from high-density fractions (lower purity). In addition, higher cytokine/chemokine and VEGF levels were obtained from more viable PDC.
The need for reliable predictive islet cell product tests has prompted the development of multiple potency assays such as oxygen consumption rate 45-47, analysis of ATP levels 48, and the measurement of reactive oxygen species 49. All proposed methods have shown promise regarding their predictive value on graft function into chemically-diabetic, immunodefficient mice receiving high purity human or porcine islets (the latter generally ~80-90% β-cell content). However, clinical islet preparations are composed not only of β-cells, but also by a substantial amount of non-endocrine and endocrine (α- and δ-cells) cellular subsets. The most difficult part in islet potency testing is to identify β-cell-specific contribution to the results obtained in each of these tests. Notably, for potency assays that do not discriminate for cell subsets, only if each cell subset within the same islet preparation has similar viability, the result of the test may be representative to β-cell viability. According to the analysis of more than 160 islet preparations in our study, the viability and content of PDC and of β-cells widely varied and there was no correlation between PDC and β-cell values. These results clearly indicate that the assessment of heterogeneous cell populations such as ADP/ATP ratio and FDA/PI cannot represent β-cell-specific viability.
Another critical issue to be addressed in islet potency testing is whether the viability of islet aliquots obtained from the purest layers can safely represent that of an entire final islet preparation with lower purity. Our data showed that β-cell viability in medium and high-density fractions was significantly higher and lower respectively. In addition, high-density fractions showed the highest PDC viability, which decreased linearly in lower density fractions. These results indicates that the viability assessment of the purest islet fractions may not reflect adequately that of PDC or β-cells in whole islet preparations, and that the sample for islet quality assessment and β-cell viability should be obtained from a mixed fraction of the final islet cell product after mixing pure and impure fractions. Therefore, some islet quality tests evaluating whole islet cells (i.e., FDA/PI and ADP/ATP ratio) may overestimate β-cell viability due to the contribution to the readout of PDC with higher viability composing the final preparation.
While it is apparent that islet cell quality is critical for clinical outcomes, other factors such as inflammation mediators, VEGF and TF should be taken into account for overall assessment of islet cell products. Indeed, MCP-1 secreted by islet preparations may negatively affect the clinical outcomes 50, 51 and TF may trigger detrimental thrombotic reactions at the time of intrahepatic islet infusion 29. However, VEGF and IL-8 may be beneficial for revascularization in islet grafts. In our study, we observed that PDC secrete proinflammatory cytokines/chemokines that PDC may have either beneficial or detrimental effects on islet viability and function. In the in vivo bioassay model, co-transplantation of PDC did not alter graft outcomes in our study. There was no measurable improvement of islet engraftment, despite an increased VEGF and IL-8 secretion from PDC in vitro that might have been beneficial. Notably, this immunodeficient murine model does not allow mimicking the complex immune phenomena ongoing in the setting of islet transplantation into patients with autoimmune diabetes. It is conceivable that lymphocytes and monocytes infiltrating islet grafts may be activated/recruited by cytokines/chemokines produced by PDC. Future efforts will focus on the effects of PDC on the function of islet grafts in clinical islet transplantation.
In summary, we have established a novel method for the simultaneous assessment of PDC and β-cell content and viability in human islet preparations. The precise assessment of non-endocrine cells in addition to β-cells in human islet cell products may be of assistance in developing strategies to enhance islet graft function.
Acknowledgments
This work was supported in part by National Institute of Health grants for General Clinical Research Center (5U01DK70460-02, 5R01DK025802-23), Islet Cell Resources (5U42RR016603), Juvenile Diabetes Research Foundation International (4-2004-361), and the Diabetes Research Institute Foundation (www.DiabetesResearch.org). The authors are grateful to the members of the Human Cell Processing Facility, Preclinical Cell Processing Laboratory of the Cell Transplant Center, Clinical Islet Transplant Program, General Clinical Research Center, Imaging Core at the Diabetes Research Institute, Administrative Offices at the Diabetes Research Institute, and Organ Procurement Organizations for the continuous enthusiasm and support to our program.
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