Abstract
The primary cells that participate in islet transplantation are the endocrine cells. However, in the islet microenvironment, the endocrine cells are closely associated with the neurovascular tissues consisting of the Schwann cells and pericytes, which form sheaths/barriers at the islet exterior and interior borders. The two cell types have shown their plasticity in islet injury, but their roles in transplantation remain unclear. In this research, we applied 3-dimensional neurovascular histology with cell tracing to reveal the participation of Schwann cells and pericytes in mouse islet transplantation. Longitudinal studies of the grafts under the kidney capsule identify that the donor Schwann cells and pericytes re-associate with the engrafted islets at the peri-graft and perivascular domains, respectively, indicating their adaptability in transplantation. Based on the morphological proximity and cellular reactivity, we propose that the new islet microenvironment should include the peri-graft Schwann cell sheath and perivascular pericytes as an integral part of the new tissue.
Abbreviations: 2-D, 2-dimensional; 3-D, 3-dimensional; GFP, green fluorescence protein; GFAP, glial fibrillary acidic protein; NG2, neuron-glial antigen 2
Keywords: 3-D histology, Islet transplantation, Schwann cells, Pericytes, Revascularization, Reinnervation
Highlights
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3-D neurovascular histology with cell tracing is used to study islet transplantation.
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Donor islet Schwann cells and pericytes participate in graft neurovascular regeneration.
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Islet graft microenvironment includes Schwann cell sheath and perivascular pericytes.
1. Introduction
The goal of islet transplantation is to use the donor β-cells to restore the insulin production and glycemic regulation in patients with type 1 diabetes to avoid serious complications (Barton et al., 2012, Goland and Egli, 2014). For long-term graft survival, neurovascular regeneration in the new islet microenvironment is essential for the engraftment process (Jansson and Carlsson, 2002, Persson-Sjogren et al., 2000, Reimer et al., 2003). The graft–host integration through the neurovascular networks is important for grafts to receive nutrients and stimulations from the circulation and nerves to maintain survival and respond to physiological cues. Thus, identification of the mechanisms and cellular players that participate in islet neurovascular regeneration holds the key to improving the outcome of transplantation.
In the pancreas, the endocrine islets receive rich neurovascular supplies, which consist of not only the nerves (sympathetic, parasympathetic, and sensory nerves; Ahren, 2012, Borden et al., 2013, Tang et al., 2014) and blood vessels, but also the Schwann cells (the glial cells of the peripheral nervous system) and pericytes residing at the exterior and interior boundaries of the islet, facing the exocrine pancreas and endothelium, respectively (Donev, 1984, Hayden et al., 2008, Richards et al., 2010, Sunami et al., 2001). Morphologically, the islet Schwann cell network resides in the islet mantle, forming a mesh-like sheath (with apparent openings) surrounding the islet. The Schwann cells also release neurotrophic factors such as the nerve growth factor and glial cell line-derived neurotrophic factor (GDNF) to the islet microenvironment to support the “neuroendocrine” tissue (Mwangi et al., 2008, Teitelman et al., 1998).
The pericytes, also known as the mural cells, reside on the abluminal side of the blood vessels, guarding the vascular network. The pericyte and endothelium interactions are important for the angiogenesis and survival of endothelial cells (Armulik et al., 2005, Lindahl et al., 1997, von Tell et al., 2006). Particularly in angiogenesis, the release of platelet-derived growth factor from the endothelial cells recruits pericytes to establish their physical contact for paracrine signaling to stabilize the vascular system.
While sheathing the islets and blood vessels, in the pancreas the Schwann cells and pericytes also react to the islet injury and lesion formation in experimental diabetes (Tang et al., 2013, Teitelman et al., 1998, Yantha et al., 2010). For example, in the rodent model of islet injury induced by the streptozotocin injection, both Schwann cells and pericytes become reactive in response to the islet microstructural and vascular damages (Tang et al., 2013, Teitelman et al., 1998). In the non-obese diabetic (NOD) mouse model, the islet lesion induced by lymphocytic infiltration leads to peri-lesional and perivascular Schwann cell activation occurring at the front of lymphocytic infiltration in insulitis (Tang et al., 2013). Regarding the pericytes, their cellular responses were also found in the islet injuries induced by streptozotocin injection and lymphocytic infiltration with global (streptozotocin injection) and localized (NOD mice) changes of pericyte density (Tang et al., 2013). Importantly, the plasticity of Schwann cells and pericytes in response to islet injury suggests their potential reactivity in islet transplantation, in which the injuries occur both to the donor islets and at the transplantation site of the recipient.
To elucidate the ability of Schwann cells and pericytes in the participation of islet graft neurovascular regeneration, in this research we transplanted the mouse islets under the kidney capsule and prepared transparent graft specimens by tissue clearing (or optical clearing, use of an immersion solution of high refractive index to reduce scattering in optical microscopy; Chiu et al., 2012, Fu et al., 2009, Fu and Tang, 2010, Liu et al., 2015) to characterize the 3-dimensional (3-D) features of the Schwann cell and vascular networks, which otherwise cannot be easily portrayed by the standard microtome-based histology. We also transplanted the labeled islets with the nestin (the marker of neurovascular stem/progenitor cells; Dore-Duffy et al., 2006, Mignone et al., 2004, Treutelaar et al., 2003) promoter-driven green fluorescence protein (GFP) expression in the Schwann cells and pericytes (Alliot et al., 1999, Clarke et al., 1994, Frisen et al., 1995) to trace their locations and activities in the recipient.
Taking advantage of the 3-D features of the islet graft neurovascular network, in this research we demonstrate: (i) the regeneration of the islet Schwann cell sheath and the perivascular pericyte population after islet transplantation under the kidney capsule and (ii) the contribution of the donor islet Schwann cells and pericytes to the regeneration process. In this article, we present the morphological and quantitative data of the islet graft Schwann cell network and pericytes and discuss the implications of their participation in the islet graft neurovascular regeneration.
2. Materials & Methods
2.1. Animals and Islet Transplantation
Male inbred C57BL/6 (B6) mice, age 8–12 weeks, were used as the donors and recipients for islet transplantation. The nestin-GFP transgenic donor mice used in this research have been developed previously (Mignone et al., 2004). In these animals, the GFP expression is under the control of the 5.8-kb promoter and the 1.8-kb second intron of the nestin gene, which encodes a type VI intermediate filament protein. The nestin-GFP+ mice and their nestin-GFP− littermates, age 8–12 weeks, were used as the donors and recipients, respectively, to avoid rejection. The Institutional Animal Care and Use Committee of Chang Gung Memorial Hospital approved all procedures with these mice.
All recipient mice used in this research were diabetic prior to islet transplantation. The diabetic B6 and nestin-GFP− mice were induced by a single intra-peritoneal injection of streptozotocin (STZ, Sigma, St. Louis, MO, USA, 200 mg/kg body weight). Before transplantation, diabetic recipients were confirmed by hyperglycemia, weight loss, and polyuria; only the mice with blood glucose levels higher than 350 mg/dl two weeks after the STZ injection were transplanted. Blood glucose concentration was measured from the tail tip with a portable glucose analyzer (One Touch II, LifeScan Inc., Milpitas, CA, USA).
Islet isolation was performed under sodium amobarbital-induced anesthesia with the donor pancreases distended with 2.5 ml of digestion solution (ductal injection of RPMI-1640 medium supplemented with 1.5 mg/ml of collagenase; RPMI: Invitrogen, Carlsbad, CA, USA; collagenase: Sigma, from Clostridium histolyticum, type XI), excised, and incubated in a water bath at 37 °C. Afterward, the islets were purified by a density gradient (Histopaque-1077, Sigma) and then handpicked under a stereo microscope. Islets with a diameter between 75 and 250 μm were collected for transplantation. Three hundred islets were syngeneically transplanted under the left kidney capsule on the same day of isolation. Mice with reversal of diabetes to normoglycemia two weeks post-transplantation were defined as mice with engrafted islets and included in the study (Juang et al., 2014).
2.2. Tissue Labeling
Blood vessels of the kidney and islet graft were labeled by vessel painting (Fu et al., 2010, Juang et al., 2014) via cardiac perfusion of the lectin-Alexa Fluor 488 conjugate (30 μg/g of body weight, Invitrogen, Cat No. W11261) followed by 4% paraformaldehyde perfusion fixation. Afterward, grafts under the kidney capsule were harvested and the vibratome sections of the tissue (~ 400 μm) were post-fixed in 4% paraformaldehyde solution for 1 h at 25 °C. The fixed tissues were then immersed in 2% Triton X-100 solution for 2 h at 25 °C for permeabilization.
Three different primary antibodies were used to immunolabel the tissues following the protocol outlined below. The antibodies used were polyclonal rabbit anti-glial fibrillary acidic protein (GFAP, Schwann cell marker) antibody (DAKO, Z0334; Carpinteria, CA, USA), a rabbit anti-neuron-glial antigen 2 (NG2, pericyte marker) antibody (AB5320; Millipore, Billerica, MA, USA), and polyclonal guinea pig anti-insulin (Gene Tex, Irvine, CA, USA) antibody. Before applying the antibody, the tissue was rinsed in phosphate-buffered saline (PBS). This was followed by a blocking step, incubating the tissue with the blocking buffer (2% Triton X-100, 10% normal goat serum, and 0.02% sodium azide in PBS). The primary antibody was then diluted in the dilution buffer (1:50, 0.25% Triton X-100, 1% normal goat serum, and 0.02% sodium azide in PBS) to replace the blocking buffer and incubated for one day at 15 °C.
Alexa Fluor 647 conjugated goat anti-rabbit secondary antibody and Alexa Fluor 546 conjugated goat anti-guinea pig secondary antibody (1:200, Invitrogen) were used to reveal the immunostained structures. Nuclear staining by propidium iodide (50 μg/ml, Invitrogen) was performed at room temperature for 1 h to reveal the nuclei, if necessary. The labeled specimens were then immersed in the optical-clearing solution (FocusClear™ solution, CelExplorer, Hsinchu, Taiwan or RapiClear 1.52 solution, SunJin Lab, Hsinchu, Taiwan) before being imaged via confocal microscopy.
2.3. Confocal Microscopy
Imaging of the tissue structure was performed with a Zeiss LSM 510 Meta confocal microscope (Carl Zeiss, Jena, Germany) equipped with an objective of 25 × LD ‘Plan-Apochromat’ glycerine immersion lenses (working distance: 570 μm) (optical section: 5 μm; Z-axis increment: 2.5 μm) and an objective of 40 × LD ‘C-Apochromat’ water immersion lenses (working distance: 620 μm) (optical section: 3 μm; Z-axis increment: 1.5 μm) under a regular or tile-scan mode with automatic image stitching. The laser-scanning process was operated under the multi-track scanning mode to sequentially acquire signals, including the transmitted light signals. The Alexa Fluor 647-labeled structures were excited at 633 nm and the fluorescence was collected by the 650- to 710-nm band-pass filter. The propidium iodide-labeled nuclei and the Alexa Fluor 546-labeled structures were excited at 543 nm and the signals were collected by the 560- to 615-nm band-pass filter. The lectin-Alexa Fluor 488-labeled blood vessels were excited at 488 nm and the fluorescence was collected by the 500- to 550-nm band-pass filter.
2.4. Image Projection and Analysis
The LSM 510 software (Carl Zeiss, Jena, Germany) and the Avizo 6.2 image reconstruction software (VSG, Burlington, MA, USA) were used for projection, signal segmentation, and analysis of the confocal images. In the supplemental videos, image stacks were recorded using the “Movie Maker” function of Avizo with the increase in display time in association with the depth of the optical section. In Supplemental Video S3, the “Camera Rotation” function of Avizo was used to adjust the projection angles of the 3-D images.
In the neurovascular density analysis, both the 3-week and 6-week grafts were acquired from four recipients. Four or five image stacks were taken from each animal to assess their graft blood vessel, pericyte, and Schwann cell network densities. The blood vessel, pericyte, and Schwann cell network densities of the pancreatic islets from three normal B6 mice were used as the control.
Quantitation of the graft neurovascular tissue density was illustrated in Juang et al. (2014). The same tissue labeling, imaging, and quantitation processes were conducted on the transplanted islets under the kidney capsule and pancreatic islets in situ to compare the tissue densities on the same basis. In estimation of the density, feature extraction and image segmentation were first performed by the “Label Field” function of Avizo to collect the voxels of the grafts and those of the blood vessels (signals from vessel painting) or Schwann cell network (GFAP signals). Afterward, voxels of the blood vessels (or Schwann cell network) in the acquired image stack were divided by those of the grafts × 100% to estimate the blood vessel density (or Schwann cell network density). Quantification of pericytes was performed by counting the pericytes in the segmented volume of interest to estimate the cell densities (number of pericytes per 106 μm3 of graft). While counting the pericytes, both the NG2 and nuclear signals were used to define a pericyte —an NG2 immunoreactive cell body with at least two processes contacting the blood vessels (Tang et al., 2013). Signal or pericyte densities derived from different image stacks of the same animal were first normalized and then averaged over the other animals in the same group.
2.5. Statistical Analysis
The quantitative values are presented as means ± standard deviation. Statistical differences were determined by the unpaired Student's t test. Differences between groups were considered statistically significant when p < 0.05.
3. Results
3.1. Labeling and 3-D Imaging of Islet Schwann Cells and Pericytes In Situ
Glial fibrillary acidic protein (GFAP) and neuron-glial antigen 2 (NG2) are the two classic markers for immunohistochemical identification of the Schwann cells and pericytes, respectively (Bergers and Song, 2005, Tang et al., 2013, Winer et al., 2003). Fig. 1A and B shows the in-depth imaging and projection of the islet GFAP+ Schwann cell sheath and the perivascular NG2+ pericytes in situ. The images were derived from 3-D islet neurovascular histology with tissue clearing (Tang et al., 2014). Technically, due to the dispersed nature of the neurovascular networks, the standard microtome-based 2-D tissue analysis is limited in presenting the network structure. 3-D imaging and identification of the two cell types are essential to illustrate their morphologies in space.
3.2. Nestin-GFP Labeling of Islet Schwann Cells and Pericytes
Nestin is an intermediate filament protein identified as a stem/progenitor cell marker to indicate the glial cell and pericyte plasticity in the brain (Dore-Duffy et al., 2006, Mignone et al., 2004). In the pancreas, we applied the nestin-GFP expression (i.e., GFP expression driven by the nestin promoter) in the Schwann cells and pericytes to indicate their reactivity and trace the donor Schwann cells and pericytes in the process of islet transplantation.
Fig. 1C and D shows the gross view and zoom-in examination of the overlap of the nestin-GFP signals and the GFAP+ Schwann cell network of islet in situ. The overlap of the nestin-GFP signals and the NG2+ perivascular pericytes is presented in Fig. 1E. The results indicate that both the islet Schwann cells and pericytes are similar to their counterparts in the central nervous system in the nestin promoter activity. This expression pattern allowed us to use the nestin-GFP+ donor islets to trace the Schwann cells and pericytes in islet transplantation.
Note that in comparison with the Schwann cells and pericytes, the islet endocrine cells are (i) negative in the nestin-GFP expression (Treutelaar et al., 2003) and (ii) without the cellular processes extending from the cell body. In this research, we use both features, in addition to immunohistochemistry (GFAP or NG2 staining), to distinguish the Schwann cells and pericytes from the endocrine cells. Regarding the exocrine acinar cells in the pancreas, these cells are positive in nestin-GFP expression (as revealed in Fig. 1C–E and Delacour et al., 2004). However, they were separated from the isolated islets before transplantation. Thus, the acinar cells do not influence the Schwann cell and pericyte tracing in islet transplantation.
3.3. Schwann Cells and Pericytes in Islet and Kidney Before Transplantation
Fig. 2A shows a typical isolated islet before transplantation. From the nestin-GFP signals, we observed that the Schwann cells and pericytes remained associated with the islet with distinct cell bodies and processes in the mantle (Schwann cells) and core (pericytes). In addition to the nestin-GFP signals, we also used the GFAP immunostaining to confirm the presence of Schwann cells in the islet mantle (Fig. 1B). Because the pericyte surface marker NG2, a chondroitin sulfate proteoglycan, was disturbed by collagenase digestion in the process of harvesting islets from the pancreas, NG2 immunohistochemistry cannot be used to confirm the islet pericytes at this stage.
Regarding the kidney pericytes and Schwann cell network, Fig. 2C and D shows the gross views of the kidney microstructures and their association with the two cell types. Specifically, both the kidney pericytes and Schwann cell network follow the arterioles in extension and associate with the glomeruli. The kidney pericytes also encircle the renal arteriole (Fig. 2C), which is similar to the pancreatic pericytes that encircle the pancreatic arteriole (Fig. 1B).
3.4. Islet Graft Revascularization and the Perivascular Pericytes
Six weeks after islet transplantation under the kidney capsule, we prepared transparent graft specimens (Fig. 3A) and applied 3-D histology to examine the graft microstructure and revascularization. Fig. 3B and C shows the gross view and zoom-in examination of the graft with fluorescence signals derived from the β-cells (insulin staining), blood vessels, and pericytes. In-depth projection of the vasculature reveals the perivascular pericytes with prominent cell bodies and processes residing on the walls of microvessels, resembling the pericyte morphology in the pancreatic islet in situ (Fig. 1B). The in-depth recording of the graft pericytes is presented in Supplemental Video S1.
In addition, we used tile scanning to acquire a gross view of the vascular connections between the islet graft and the kidney parenchyma to demonstrate the graft–host integration (Fig. 3D and E). The gross view also reveals a higher NG2 staining density associated with the islet graft than that of the kidney (Fig. 3E), showing the intrinsic difference between the islet and renal tissues in vascular compositions and arrangements.
Finally, from the histological point of view, the preparation of transparent graft specimens by tissue clearing allowed us to simultaneously acquire the transmitted light and fluorescence signals with high definition to confirm and illustrate the graft and renal structures in space (Fig. 3A/B and D/E). The high-definition images also allowed us to identity and count the cell bodies of pericytes by overlaying the NG2 and nuclear signals of the graft (Fig. 3F). This approach is used in Fig. 7B to quantify and compare the pericyte densities of the islet graft and that of the pancreatic islet in situ.
3.5. Donor Islet Pericytes Contribute to the Pericyte Population in the Islet Graft
Next, we transplanted the nestin-GFP-labeled donor islets to trace and examine the origin of the islet graft pericyte population (Fig. 4). Six weeks after the transplantation, we observed strong GFP expression in the islet graft (Fig. 4A and B), indicating that the nestin-GFP-labeled Schwann cells and pericytes were staying active in their new microenvironment. Importantly, the overlap of the nestin-GFP and NG2 signals (Fig. 4C and D and Supplemental Video S2) indicates that a subpopulation of the nestin-GFP+ cells was derived from the donor pericytes. The high-definition image presented in Fig. 4E highlights the prominent presence of the donor pericytes on the walls of the graft microvessels. Also, because we used the cardiac perfusion of the lectin-dye conjugates to label the mouse vasculature, we confirmed that the revealed graft microvessels, which consist of both the endothelium and pericytes, were functional. Supplemental Fig. S1 presents an additional example of the perivascular donor pericytes in a panoramic fashion.
3.6. Regeneration of Islet Graft Schwann Cell Sheath
Similar to the reestablishment of the perivascular pericyte population, regeneration of the islet graft Schwann cell network also occurred in the process of islet engraftment under the kidney capsule. Six weeks after islet transplantation, Fig. 5A–D shows the gross view and zoom-in examination of the islet graft Schwann cell sheath. Specifically, the dense Schwann cell network regenerated at the peri-graft area, such as in the capsule-graft interface and at the boundaries of the aggregated islets. The morphology of the peri-graft Schwann cell sheath resembles that of the pancreatic islet Schwann cell sheath in situ (Fig. 1A). A 360° panoramic presentation of the islet graft Schwann cell sheath is illustrated in Supplemental Video S3.
Fig. 5E and F and Supplemental Fig. S2 show the tile-scanning images of the graft and the kidney parenchyma to illustrate the graft–host neurovascular integration. The coupling of the graft and the kidney Schwann cell networks and microvessels can be seen at the graft–host interfaces. The tile-scanning images also show that the density of the Schwann cell network in the graft domain is markedly higher than that of the kidney domain, which reflects the intrinsic difference between the islets and the renal microstructures, such as the glomeruli, in association with the neural tissues.
3.7. Donor Islet Schwann Cells Contribute to Regeneration of Peri-graft Schwann Cell Network
We next used the nestin-GFP+ islets in transplantation to identify the source of the islet graft Schwann cells. Fig. 6 shows the gross view and zoom-in examination of the overlap of the nestin-GFP and GFAP signals, confirming a subpopulation of the nestin-GFP+ cells as the GFAP+ Schwann cells. These cells primarily resided at the peri-graft domain with slender and prolonged processes extending from the cell bodies. Supplemental Video S4 shows the in-depth recording of the nestin-GFP+ donor cells contributing to the peri-graft Schwann cell sheath. Note that the apparent nestin promoter activity of the Schwann (glial) cells in islet transplantation (Fig. 6) was similar to that of the glial cells of the central nervous system in response to injury (Frisen et al., 1995).
3.8. Quantitative Assessment of Graft Revascularization and Schwann Cell Network Regeneration
Using the 3-D image data, we next quantified the vascular and Schwann cell network densities of the 3-week and 6-week grafts and compared them with those of the pancreatic islets in situ to analyze the engraftment process.
Fig. 7A shows that in revascularization the blood vessel density (blood vessel volume/tissue volume) of the 3-week and 6-week grafts reached 48% and 68% of that of the pancreatic islets in situ, respectively. In comparison, the pericyte density (number of pericytes/tissue volume) of the 3-week and 6-week grafts was markedly higher at 83% and 93% of that of the pancreatic islets in situ, respectively, without significant difference among the three tissue conditions (Fig. 7B; Supplemental Fig. S3A shows the 3-week graft). Importantly, the results of the blood vessel and pericyte densities shown in Fig. 7A and B lead to a higher pericyte-to-blood vessel ratio (i.e., the pericyte density divided by the blood vessel density) of the 3-week and 6-week grafts, with increase of 84% and 41% over that of the pancreatic islets in situ, respectively (Fig. 7C). This higher pericyte-to-blood vessel ratio of the transplanted islets reveals a unique vascular feature in graft angiogenesis, which is similar to the increase in the pericyte density of the pancreatic islet after injury (Tang et al., 2013).
In comparison with the revascularization, the regeneration of the islet graft Schwann cell network was significantly delayed in the first three weeks after transplantation. The network density (GFAP staining signals/tissue volume) of the 3-week graft was only 9% of that of the pancreatic islets in situ (Fig. 7D; Supplemental Fig. S3B shows the 3-week graft). For the 6-week graft, the network density increased 2.1 fold from that of the 3-week graft and reached 28% of that of the pancreatic islets in situ. Interestingly, although the network density of the 6-week graft remained significantly lower than that of the islets in situ, the Schwann cell sheath was prominently seen at the graft boundaries (Fig. 5, Fig. 6).
4. Discussion
The plasticity of glial cells and pericytes has been shown in injuries occurring to the central nervous system and pancreatic islets in diseases with progressive lesion formation such as Alzheimer's disease and insulitis in experimental type 1 diabetes (Beach et al., 1989, Tang et al., 2013) and in acute conditions such as stroke, traumatic central nervous system injury, and islet injury induced by streptozotocin injection (Goritz et al., 2011, Pekny and Nilsson, 2005, Tang et al., 2013, Teitelman et al., 1998). In this research, we demonstrate the adaptability of islet Schwann (glial) cells and pericytes in response to islet transplantation, in which the Schwann cell network and the pericyte population reestablished at the graft exterior and interior boundaries, re-associating with the engrafted islets. We traced the donor Schwann cells and pericytes using the nestin-GFP+ transgenic islets to confirm their contribution to the regeneration. The 3-D graft microstructure, vasculature, and Schwann cell network were presented with high definition to facilitate qualitative and quantitative analyses of the tissue networks to characterize the graft neurovascular regeneration.
The classic view of the graft neurovascular regeneration is the in-growth of blood vessels and nerves from the host tissue to the transplanted islets (Jansson and Carlsson, 2002, Persson-Sjogren et al., 2000, Vajkoczy et al., 1995). Although Nyqvist et al. (2005) reported that the donor islet endothelial cells also participate in the formation of the graft microvessels after islet transplantation under the kidney capsule, the donor endothelial cells seems to cover only a limited area of the graft vasculature, indicating that the endothelial cells from the host kidney are the major contributor to the graft angiogenesis.
In this research, however, we show that the Schwann cells and pericytes derived from the donor islets were the major contributors to the Schwann cell sheath and the perivascular pericyte population of the grafts (Fig. 4, Fig. 6): both were abundantly associated with the engrafted islets, a sharp contrast to the intrinsic densities of the two cell types in the kidney (Fig. 2C and D and Supplemental Fig. S1, Supplemental Fig. S2). The prominent presence of Schwann cells and pericytes and their known functions of releasing the neurotrophic and angiogenic factors suggest the roles of the two cell types in attracting the nerves and blood vessels to facilitate graft neurovascular regeneration, despite prior research focusing mainly on the transplanted endocrine cells in the recruiting process (Brissova et al., 2006, Jansson and Carlsson, 2002, Myrsen et al., 1996, Persson-Sjogren et al., 2000, Vasir et al., 1998).
Although the survival of β-cells accounts for the success of islet transplantation, other cell types transplanted with the islets have also been described to correlate with the outcome of transplantation. For example, Street et al. (2004) reported a positive correlation between the long-term metabolic success of the islet recipients and the number of the ductal cells transplanted with the islets following the Edmonton Protocol. In this research, we used the mouse model to reveal the participation of the donor islet Schwann cells and pericytes in the process of transplantation. Although the roles of the human islet Schwann cells and pericytes in islet transplantation remain to be established, we suggest two of their potential impacts on the engraftment process: first, the neurovascular regeneration (as discussed earlier) and second, the host immunological response, due to the immunogenicity of the donor Schwann cells and pericytes (both of which are the antigen-presenting cells; Balabanov et al., 1999, Gulati, 1998, Lilje, 2002, Thomas, 1999) and their presence at the graft boundaries.
The technical advance of the islet graft 3-D histology with tissue clearing (Juang et al., 2014) has made possible the visualization of the graft Schwann cell network and pericyte population with high definition. Without tissue clearing, the kidney and pancreatic islets are intrinsically opaque because of the higher refractive index of the tissue constituents such as the phospholipids and proteins than that of the water molecules, leading to scattering when light enters the tissue matrix in optical microscopy. Tissue clearing substantially reduces light scattering by replacing the surrounding fluids with a solution of high refractive index, thereby matching the optical properties between the tissue constituents and the immersion solution to improve light transmission for different optical applications such as the optical coherence tomography (OCT) imaging (Khan et al., 2004) and confocal and two-photon microscopy (Chung and Deisseroth, 2013, Erturk et al., 2012, Genina et al., 2010, Ke et al., 2013, Marx, 2014).
However, 3-D imaging with tissue clearing has the following limitations. First, because the clearing process changes the osmotic pressure of the environment, tissue fixation with chemicals such as paraformaldehyde is required to maintain the tissue volume. Because of the harsh condition, tissue clearing is not compatible with in vivo imaging such as the real-time blood flow microscopy and the functional calcium imaging to acquire the functional data from the grafts. Second, the 3-D imaging approach is not compatible with the super-resolution microscopy to examine the pericyte-endothelial and the Schwann cell-islet interfaces to characterize the potential cellular interactions. Electron microscopy of the cellular interfaces will be needed in the future to define the ultrastructures of the two cell types after transplantation.
Despite the limitations, preparation of transparent grafts allowed us to use deep-tissue microscopy to identify the slender processes of the Schwann cells and pericytes in space, which otherwise cannot be easily characterized with the standard 2-D histology. In addition, the transparent grafts allowed us to apply transmitted light microscopy to reveal the tissue architectures and boundaries and use them as the landmarks to confirm the signals derived from fluorescence labeling and confocal microscopy. This verification step is particularly important in characterization of the transplanted islets with novel details of anatomy, as illustrated in this research, to avoid uncertainties in depicting the islets in an ectopic environment.
In conclusion, using the mouse model of islet transplantation, we have identified the participation of the donor islet Schwann cells and pericytes in graft neurovascular regeneration. Before this research, the Schwann cells and pericytes were overlooked in islet transplantation due to the challenge of seeing their 3-D features after transplantation. Here, we applied the newly developed 3-D histology with tissue clearing to identify the formation of the islet graft Schwann cell sheath and perivascular pericyte population in neurovascular regeneration. Our work demonstrates the adaptability of the islet Schwann cells and pericytes in transplantation. This discovery will lay the foundation to study the roles of the two cell types in human islet transplantation and their influences on the function of islet endocrine cells in an ectopic environment.
The following are the supplementary data related to this article.
Author Contributions
All authors contributed to the experimental conception and design; J.H.J. and C.H.K. contributed to transplantation; S.J.P. and S.C.T. contributed to specimen preparation and microscopy; S.C.T. prepared the figures and drafted the manuscript; all authors contributed to data analysis and interpretation of data, and revised the manuscript critically for intellectual content; J.H.J. and S.C.T. directed the research project. All authors approved the final version of the paper.
Acknowledgments
We thank the Brain Research Center in National Tsing Hua University for technical support of confocal imaging. This work was supported in part by grants from Chang Gung Memorial Hospital (CMRPG3C0191 and CMRPG3D0601) and the National Science Council Taiwan (NSC 102-2314-B-182A-012-MY3) to J.H.J., and the Taiwan National Health Research Institutes (NHRI-EX103-10332EI) and National Science Council (NSC 102-2628-B-007-002-MY2) to S.C.T.
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