Abstract
There is great interest in generating functionally mature beta cells from stem cells, as loss of functional beta cell mass contributes to the pathophysiology of diabetes. Identifying markers of beta cell maturity is therefore very helpful for distinguishing stem cells that have been successfully differentiated into fully mature beta cells from stem cells that did not. Urocortin 3 (UCN3) is a peptide hormone whose expression is associated with the acquisition of functional maturity in beta cells. The onset of its expression occurs after other beta cell maturity markers are already expressed and its loss marks the beginning of beta cell dedifferentiation. Its expression pattern is therefore tightly correlated with beta cell maturity. While this makes UCN3 an excellent marker of beta cell maturity, it is not established whether UCN3 is required for beta cell maturation. Here, we compared gene expression and function of beta cells from Ucn3-null mice relative to wild-type mice to determine whether beta cells are functionally mature in the absence of UCN3. Our results show that genetic deletion of Ucn3 does not cause a loss of beta cell maturity or an increase in beta cell dedifferentiation. Furthermore, virgin beta cells, first identified as insulin-expressing, UCN3-negative beta cells, can still be detected at the islet periphery in Ucn3-null mice. Beta cells from Ucn3-null mice also exhibit normal calcium response when exposed to high glucose. Collectively, these observations indicate that UCN3 is an excellent mature beta cell marker that is nevertheless not necessary for beta cell maturation.
Keywords: pancreatic beta cell, beta cell maturity, Urocortin 3, UCN3, GLUT2
Introduction
Beta cells are the sole source of insulin in the body. Thus, there is much interest in finding ways to generate new beta cells. One of the current methods of regenerating beta cells is differentiating stem cells in vitro (Pagliuca et al. 2014; Rezania et al. 2014; Russ et al. 2015; Nair et al. 2019; Velazco-Cruz et al. 2019; Veres et al. 2019). However, although much progress has been made towards generating beta cells from stem cells, clinically meaningful generation of functionally mature beta cells in vitro has yet to be achieved. Markers that can guide the maturation of beta cells in vitro are therefore of great utility.
The maturation of beta cells in vivo is driven by several key transcription factors such as PDX1, NKX6-1, and MAFA, among others. In mice, insulin-expressing cells first appear around E9.5, with a second, larger wave appearing around E13.5, which corresponds to the onset of MAFA expression (Artner et al. 2010). However, most beta cells do not express MAFA at this early age and remain largely functionally immature. Additional markers, such as the peptide hormone Urocortin 3 (UCN3), have emerged as late beta cell maturity markers in recent years.
UCN3 is a member of the corticotropin-releasing factor (CRF) family that selectively binds the G-protein coupled receptor CRFR2 (Lewis et al. 2001). Shortly after its discovery, it was found to be expressed in beta cells (Li et al. 2003). UCN3 is co-released with insulin under high glucose conditions and stimulates somatostatin secretion from delta cells, which are the primary cells within the islet that express CRHR2 (van der Meulen et al. 2015). This creates a negative feedback loop that leads to the repression of insulin.
During development, UCN3 is first expressed by some beta cells in the later stages of mouse embryonic development at E17.5, and is not expressed by the majority of beta cells until 2 weeks after birth (Blum et al. 2012; van der Meulen et al. 2012). The late onset of UCN3 expression in beta cells places it well after that of commonly used maturity markers such as MAFA and PDX1 (van der Meulen & Huising 2014; Hunter & Stein 2017). This makes UCN3 a useful marker to distinguish between immature insulin-positive cells and fully functional, stem cell-derived beta cells. Furthermore, the expression of UCN3 coincides with the acquisition of functional maturity by mouse beta cells that is marked by a notable uptick in blood glucose values (Blum et al. 2012). Indeed, prematurely inducing the expression of UCN3 in beta cells of mice under 2 weeks old directly leads to a premature increase in blood glucose levels (van der Meulen et al. 2015). This demonstrates that UCN3 expression is sufficient to trigger the increase in blood glucose levels that thus sets the higher blood glucose set point that is associated with the acquisition of functional beta cell maturity.
More recently, we identified a novel sub-population of ‘virgin’ beta cells specifically located at the periphery of the islet, that was discovered by virtue of their lack of UCN3 expression (van der Meulen et al. 2017). These beta cells express insulin, but do not express beta cell maturity markers, including UCN3, MAFA, ERO1LB, G6PC2, and GLUT2. These virgin beta cells are functionally immature and unable to sense glucose, in part because of their lack of cell-surface expression of GLUT2. On the other side of the spectrum, loss of UCN3 has also been established as a hallmark of beta cell dedifferentiation in diabetes (Blum et al. 2014; van der Meulen et al. 2015). In leptin-deficient ob/ob mice, UCN3 expression is initially indistinguishable from controls until the onset of diabetes, at which point UCN3 expression markedly decreases, which continues as diabetes progresses. The return of UCN3 expression has thus been used to demonstrate re-differentiation of beta cells (Blum et al. 2014). More recently, UCN3 expression has also been reported to be decreased in senescent beta cells in Type 1 Diabetes (Thompson et al. 2019).
The fact that UCN3 expression tracks closely with beta cell function across different beta cell states raises the question if UCN3 is merely a marker of mature beta cells, or whether beta cells directly require UCN3 for their maturation and normal function. Although the receptor for UCN3 is selectively expressed on delta cells and thus cannot affect beta cell maturity in a cell-autonomous or autocrine fashion, Ucn3 could indirectly affect beta cell maturity via paracrine, somatostatin-mediated crosstalk within the islet, analogous to its effects on insulin secretion (van der Meulen et al. 2015). Indeed, given the strong correlation of Ucn3 with beta cell maturity, the question of causation is regularly raised. To investigate this question, we used genetic ablation of Ucn3 to demonstrate whether beta cells can reach functional maturity in the absence of UCN3.
Materials and methods
Animals
Mice were maintained in group housing on a 12-hour light/12-hour dark cycle with free access to water and standard rodent chow. Ucn3-null mice were described previously (Li et al., 2007). For all experiments, mice heterozygous for the Ucn3-null allele (Ucn3+/−, referred to as Ucn3-het) were used to produce knockout mice (Ucn3−/−, referred to as Ucn3-null) and control littermates (Ucn3+/+, referred to as Ucn3-wt, or Ucn3-het). Ucn3-het mice were crossed to mice expressing Tg(Ins1-cre/ERT)1Lph, henceforth referred to as MIP-Cre/ERT (Wicksteed et al. 2010), and Gt(ROSA)26Sortm96(CAG-GCaMP6s)Hze, henceforth referred to as lsl-GCaMP6s (Madisen et al. 2015), to produce Ucn3-het mice that express either MIP-Cre/ERT or lsl-GCaMP6s. They were then crossed together to produce Ucn3-null mice hemizygous for both MIP-Cre/ERT and lsl-GCaMP6s. These mice selectively and efficiently expressed GCaMP6s in beta cells upon oral administration of tamoxifen (Sigma-Aldritch, T5648) dissolved in sunflower seed oil (Trader Joe’s) at 20 mg/mL for 5 consecutive days. Euthanization and islet isolation were carried out after a 3-day washout period. Heterozygous B6.Cg-Lepob/J breeders were bought from The Jackson Laboratories to produce homozygous mice, referred to as ob/ob (Coleman 1978).
Mice were used between 4-6 months of age unless otherwise indicated. All mouse experiments were approved by the UC Davis Institutional Animals Care and Use Committee and were performed in compliance with the Animal Welfare Act and the Institute for Laboratory Animal Research (ILAR) Guide to the Care and Use of Laboratory Animals.
Glucose Tolerance Test
Mice were weighed after an overnight fast, then given a bolus of 2g/kg glucose (dextrose; Sigma-Aldritch, D9559) via intraperitoneal injection. Blood glucose levels were collected over a 2 hour time period using tail vein blood by the OneTouch Ultra glucometer.
Immunofluorescence
Immunofluorescence was conducted as follows: slides were washed for 5 minutes 3 times in KPBS, then incubated with antibodies diluted in KPBS supplemented with 2% donkey serum and 0.4% Triton X-100 overnight at 4°C. Slides were then washed 3 more times in KPBS, incubated with secondary antibodies and DAPI (1 μg/mL) diluted in donkey block for 45 minutes at room temperature, and washed 3 more times before embedding in Prolong Gold Antifade (Thermo Fisher Scientific, Waltham, MA). Images were obtained on a Nikon A1R+ confocal microscope and Ucn3-wt and Ucn3-het were used as controls to compare to Ucn3-null tissues.
Islet isolation
Islets were isolated by injecting 2 mL collagenaseP (0.8 mg/mL, Invitrogen) dissolved in HBSS (Roche Diagnostics) into the pancreas via the common bile duct while the ampulla of Vater was clamped. The pancreas was then collected and submerged with an additional 2 mL of collagenase solution, incubated at 37°C for 13 minutes, then dissociated through gentle manual shaking. The dissociated pancreas was then washed 3 times with cold HBSS containing 5% NCS, then passed through a nylon mesh (pore size 425 um, Small Parts) and isolated by density gradient centrifugation on a Histopaque gradient (1.077 g/mL, Sigma) for 20 min at 1400 x g without brake. Islets were collected from the interface, washed once with cold HBSS containing 5% NCS, then hand-picked several times under a dissecting microscope before culturing in RPMI (Roche Diagnostics) containing 5.5 mM glucose, 10% FBS, and pen/strep.
Next generation sequencing and bioinformatics
RNA isolation, library preparation, sequencing, and alignment were performed as previously described (van der Meulen et al. 2015). Briefly, RNA was isolated from Trizol by a chloroform extraction, then precipitated by isopropanol and cleaned up over an RNEasy microcolumn (Qiagen, Valencia, CA) per the manufacturer’s instructions. RNA quality was determined by BioAnalyzer (Agilent, Santa Clara, CA). Libraries were generated using the TruSeq RNA Sample Prep Kit v2 (Illumina Inc., San Diego, CA) and sequenced at 50 cycles, single read on an Illumina HiSeq 2000 platform. Reads were aligned to mouse genome version mm9 using STAR.
Western blotting
50 islets were lysed using 30 μL sample treatment buffer (50 mM Tris (pH 7.5), 100 mM dithiothreitol, 2% (weight/volume) sodium dodecyl sulfate, 0.1% (weight/volume) bromophenol blue, and 10% (weight/volume) glycerol). Lysates were run on a SDS/PAGE gel and transferred nitrocellulose membranes (Whattman). Immunoblotting was done using rabbit anti-UCN3 (#7218) (gift from Dr. Wylie Vale, 1:1000) and the secondary antibody donkey anti-rabbit conjugated to HRP (GE Healthcare U.K. Ltd., 1:5000)
Functional imaging
After isolation, islets were placed in 35 mm dishes with a glass bottom (#1.5, MatTek Corporation) and allowed to adhere by culturing overnight. Islets were imaged over time in 3D on a Nikon A1R+ confocal microscope using a 20x lens. Continuous perfusion of islets with Krebs Ringer Buffer was done using a Masterflex peristaltic pump at 2.5 mL per minute. Islets were perfused with low glucose for 10 minutes to obtain baseline fluorescence, then switched to high glucose at the indicated time point. Regions of interest were drawn around single cells or single islets to obtain fluorescence intensity using Nikon Elements software.
Antibodies
Primary antibodies used were chicken polyclonal anti-insulin (Abcam ab14042, 1:1000), rat monoclonal anti-insulin (R&D Systems, 1:500), guinea pig polyclonal anti-insulin (Dako #A0564; 1:500), rabbit (#7218) or guinea pig (#044) polyclonal anti-UCN3 (gift from Dr. Wylie Vale, 1:1000), rabbit polyclonal anti-MAFA (Bethyl Laboratories IHC-00352, 1:100), rabbit polyclonal anti-MafB (Bethyl Laboratories IHC-00351, 1:100), rabbit polyclonal anti-PDX1 (Abcam ab47267, 1:500), rabbit polyclonal anti-ERO1LB (gift from Dr. David Ron, 1:300), rabbit polyclonal anti-G6PC2 (Gift from Drs. Jay Walters and Howard Davidson, 1:200), rabbit polyclonal anti-GLUT2 (EMD Millipore #07-1402I, 1:1000), rabbit polyclonal anti-ALDH1A3 (Novus Biologicals NBP2-15339, 1:500). Secondary antibodies were obtained from Jackson ImmunoResearch and used at a 1:600 dilution.
Statistical Analysis
Data were analyzed by Student’s t-test, corrected for multiple comparisons using the Holm-Sidak method where appropriate, and represented as mean ± SEM, with n representing number of animals in each group. Differences were considered significant when p < 0.05. Statistics were computed using Prism (GraphPad Software, La Jolla, CA).
Results
Expression of beta cell maturity genes persists in Ucn3-null mice
We first evaluated our previously published whole islet transcriptomes of Ucn3-null mice versus Ucn3-wt littermates (van der Meulen et al. 2015). Several genes are differentially regulated between Ucn3-wt and Ucn3-null mice, with 22 genes enriched in Ucn3-wt mice and 7 genes enriched in Ucn3-null mice (Fig. 1A, Supplementary Table 1, Supplementary Figure 1A). Ucn3-null islets demonstrate a loss of UCN3, confirming successful knockout of Ucn3, with no observable compensation in UCN and UCN2, which are barely detectable if at all in both Ucn3-wt and Ucn3-null mice (Supplementary Figure 1B, C) and do not change in Ucn3-null mice (Fig. 1A). Expression of Crhr2, the receptor for UCN3, is unchanged in Ucn3-null mice (Supplementary Figure 1D). Of the 22 genes with lower expression in Ucn3-null mice, several are known delta cell markers such as Sst, Hhex, and Rbp4, which was previously reported and caused by a significant reduction in delta cells in the absence of UCN3 (van der Meulen et al. 2015). However, there was no significant difference in the expression of Ins1 or Ins2 expression in Ucn3-null mice relative to their wild-type littermates (Fig. 1B). To further confirm that there is no difference in beta cell maturity at the transcriptional level, we examined the gene expression of several established beta cell maturity markers, including MafA, Pdx1, Ero1lb, G6pc2, and Slc2a2. All of these were expressed at similar levels between Ucn3-null and wild-type mice (Fig. 1C-1G).
Western blotting and immunofluorescence by Ucn3 antiserum confirmed that UCN3 is no longer expressed in Ucn3-null mice but is retained in both Ucn3-wt and Ucn3-het mice (Fig. 2A, B). The transcription factor MAFA, which is required for mature beta cell identity, is expressed in the nuclei of most beta cells in both wild-type and Ucn3-null mice (Fig. 2C). Similarly, PDX1 is expressed in the nucleus of beta cells as well (Fig. 2D). ERO1LB and G6PC2 both have strong overlap with insulin in both wild-type and Ucn3-null mice (Fig. 2E, 2F; Supplementary Figure 2). Immunoreactivity of the glucose transporter GLUT2, encoded by Slc2a2, is detected on the surface of beta cells in both Ucn3-null and control mice (Fig. 2G). Overall, these results indicate that the expression of a panel of established beta cell maturity markers is unperturbed in the absence of UCN3.
Beta cell dedifferentiation is not increased in Ucn3-null mice
The preservation of the expression of beta cell maturity markers in Ucn3-null compared to wild-type mice established that UCN3 expression is not necessary for beta cell maturation. Conversely, the loss of UCN3 expression in beta cells is also a sensitive and early marker of beta cell dedifferentiation (Blum et al. 2014; van der Meulen et al. 2015). To investigate if the genetic deletion of UCN3 increases beta cell dedifferentiation, we assessed the expression of several beta cell dedifferentiation markers. Aldehyde dehydrogenase 1 family, member A3 (ALDH1A3) is an established marker of dedifferentiated beta cells (Kim-Muller et al. 2016). As expected, ALDH1A3 was absent from the majority of beta cells in lean, wild-type mice at 0.28% ± 0.24% (Fig. 3). However, the genetic deletion of Ucn3 in Ucn3-null mice by itself did not cause a significant increase in the number of ALDH1A3-expressing beta cells (0.50% ± 0.43%). In contrast, beta cells in ob/ob mice did express ALDH1A3 in almost half of all beta cells (46.70% ± 1.93%), consistent with published observations (Kim-Muller et al. 2016), while UCN3 was no longer detectable in a similarly sized proportion of beta cells in islets from ob/ob mice (50.17% ± 34.63%) (Fig. 3A, 3B). Other dedifferentiation markers such as neurogenin-3 (Neurog3) and vimentin (Vim) also did not change significantly in Ucn3-null islets (Supplementary Figure 1E and 1F). Collectively, this suggests that the loss of UCN3 by itself does not cause beta cell dedifferentiation as measured by the expression of ALDH1A3, Neurog3 and Vim.
Virgin beta cells remain identifiable in Ucn3-null mice
Recently, our lab discovered virgin beta cells as a novel beta cell type that is found at the periphery of the mouse islet and is recognized by its lack of UCN3, as well as other beta cell maturity markers. As we originally identified virgin beta cells based on their absence of UCN3 expression, we wanted to determine whether they remained detectable upon genetic ablation of Ucn3, and if they maintained their characteristic location at the periphery of the islet. Staining for insulin, UCN3, and GLUT2 readily revealed virgin beta cells in control mice expressing UCN3, most of which also lacked cell-surface GLUT2 (csGLUT2) expression as previously shown (van der Meulen et al. 2017) (Fig. 4A). Insulin-expressing cells lacking csGLUT2 expression was also found in Ucn3-null mice (Fig. 4B). While the fraction of Insulin+ UCN3− virgin beta cells is similar to what we have previously established (1.21% ± 0.81%), the fraction of Insulin+ csGLUT2− beta cells is higher (3.13% ± 1.27% in control mice, 2.96% ± 0.32% in Ucn3-null mice) (Fig. 4C), similarly to what we previously published (van der Meulen et al. 2017). In control mice, this is due to the presence of several mature Insulin+ UCN3+ cells without csGLUT2 expression. As the fraction of Insulin+ csGLUT2− is similar in the Ucn3-null mice, it is likely that these cells similarly represent both virgin and mature beta cells. Nevertheless, we conclude that many of the Insulin+ csGLUT2− cell identified in the Ucn3-null mice are virgin beta cells, as they remain at their characteristic location of the islet periphery. We also looked at G6PC2 expression as another marker (Fig. 4D, 4E). Here the data also show the expected fraction of Insulin+ UCN3− cells (1.46% ± 0.25%), with fewer Insulin+ G6PC2− cells (0.50% ± 0.16%) (Fig. 4F). These numbers are in agreement with our previously published data (van der Meulen et al. 2017). The fraction of Insulin+ G6PC2− was not significantly different in Ucn3-null mice (0.49% ± 0.21%). All Insulin+ UCN3− and Insulin+ G6PC2− cells localize to the islet periphery in both Ucn3-null mice and littermate controls. The presence of MAFB, which is absent from mature beta cells but enriched among peripheral virgin beta cells (Supplementary Figure 3) further supports the continued presence of virgin beta cells despite the deletion of the Ucn3 gene.
Beta cells in Ucn3-null mice exhibit normal calcium response to glucose
We established that beta cells maintain the expression of beta cell maturity markers despite the absence of UCN3. This implies that these beta cells remained functionally mature. To interrogate the functional maturity of beta cells directly, we crossed Ucn3-null mice to mice that express the calcium reporter GCaMP6s (Madisen et al. 2015) specifically in beta cells using MIP-Cre/ERT (Wicksteed et al. 2010). Mindful of the potential confounds of the MIP-Cre/ERT mouse line (Carboneau et al., 2016), we used mice that were wild-type for Ucn3 but transgenic for MIP-Cre/ERT as controls, thus eliminating any confounds owing to the differential presence of MIP-Cre/ERT. This strategy enabled the resolution of the kinetics of beta cell calcium response, which closely match the kinetics of insulin secretion (Bergsten et al., 1994), at single-cell resolution. Upon stimulation by high glucose, beta cells from both Ucn3-null mice and their wild-type controls respond with an increase in intracellular calcium, as represented by an increase in fluorescence (Fig. 5). Although there is islet to islet variation in calcium response, beta cells within the same islet all respond in unison. The calcium response is also pulsatile in both Ucn3-null and wild-type mice, with the first phase response exhibiting a longer duration than the remaining pulses. This confirms that beta cells within each islet from Ucn3-null mice remain capable of sensing and responding to high glucose in a pulsatile and synchronized manner.
Discussion
The peptide hormone UCN3 is one of the last hormones to appear during the postnatal maturation of beta cells (Blum et al. 2012; van der Meulen et al. 2012). The onset of UCN3 expression trails expression of other established beta cell maturity markers such as MAFA (van der Meulen & Huising 2014), coincides with the acquisition of functional maturity in beta cells (Blum et al. 2012), and has been reported to be expressed in functional beta cells derived from transplanted stem cells that were allowed to mature over time in vivo (van der Meulen et al. 2012; Xie et al. 2013). While these observations have helped to establish UCN3 as a very useful marker to identify functionally mature beta cells, both in the pancreas and in differentiated stem cells, the question of whether UCN3 merely marks mature beta cells or is required for beta cells to mature comes up regularly. Here, we resolve this question by demonstrating that genetic deletion of Ucn3 does not lead to loss of other beta cell maturity markers, nor does it increase the level of expression of beta cell dedifferentiation markers, as determined by RNA-sequencing and validated by immunofluorescence. These observations indicate that beta cells continue to express other maturity markers upon Ucn3 deletion. This suggests that UCN3 is a maturity marker, but may not directly act on the beta cell to promote beta cell maturation. This is in agreement with reports that treatment of fetal beta cells with UCN3 was insufficient to accelerate beta cell maturation (Blum et al. 2012; Liu & Hebrok 2017). This also agrees closely with the fact that the UCN3 receptor Crhr2α is not expressed in beta cells, but is instead selectively expressed by delta cells (DiGruccio et al. 2016), which respond to UCN3 with increased somatostatin release (van der Meulen et al. 2015).
Furthermore, beta cells from Ucn3-null mice exhibit synchronized, pulsatile calcium responses to high glucose comparable to the responses of beta cells from wild-type mice. The rise in intracellular calcium is required for the mobilization of insulin secretory granules, and synchronized, oscillatory calcium response has been demonstrated to be critical for the secretion of insulin (Rorsman & Renström 2003). Our data therefore suggests that beta cells in Ucn3-null mice retain proper insulin secretion capabilities. However, while the kinetics of beta cell calcium responses are similar between wild-type and Ucn3-null mice, GCaMP6s is not calibrated to detect absolute calcium concentrations and instead detects relative changes in intracellular calcium. These are known to track the kinetics (Bergsten et al., 1994; Ravier et al., 2002), but not necessarily the magnitude of insulin secretion. Furthermore, increases in intracellular calcium levels may not represent a proportional increase in secretion. Indeed, we have previously demonstrated that beta cells in Ucn3-null mice exhibit exaggerated first and second phase insulin secretion that can be normalized acutely by addition of synthetic UCN3 peptide (van der Meulen et al. 2015). These mice also display increased glucose tolerance (van der Meulen et al. 2015) (Supplementary Figure 4), setting up the interesting paradox that UCN3 is a marker for functional maturity that restrains glucose-stimulated insulin secretion. We have proposed that such feedback inhibition maintained by UCN3-dependent, somatostatin-mediated restraint on insulin secretion prevents reactive hypoglycemia (Huising et al., 2018).
We also demonstrate that beta cell states that are normally marked by the absence of UCN3, such as immature ‘virgin’ beta cells, can still be detected despite the genetic ablation of the Ucn3 gene. Virgin beta cells were still readily identifiable at the islet periphery using alternative maturity markers such as csGLUT2 instead of UCN3 (Beamish et al. 2016). Conversely, the loss of UCN3 expression is an early hallmark of beta cell dedifferentiation (Blum et al. 2014; van der Meulen et al. 2015) that coincides with an increase in the expression of the dedifferentiation marker ALDH1A3 (Kim-Muller et al. 2016). Indeed, we confirmed the increase of ALDH1A3 expression in beta cells from ob/ob mice and demonstrate that there is a corresponding decrease in UCN3 in beta cells. However, the genetic deletion of UCN3 did not by itself cause an increase in ALDH1A3 expression in beta cells. This is similar to how the dedifferentiation marker ALDH1A3 did not induce beta cell dedifferentiation when over expressed (Kim-Muller et al. 2016). Therefore, the expression of ALDH1A3 and the loss of UCN3 expression are both strong markers of dedifferentiation, but do not drive beta cell dedifferentiation. Our experiment establishes that loss of UCN3 expression is in fact an effect of beta cell dedifferentiation that occurs reliably and early on. Interestingly, Ucn3-null mice have been previously reported to be protected from metabolic dysfunction associated with a high-fat diet or old age (Li et al. 2007). This is likely due to the decreased somatostatin tone seen in Ucn3-null mice (van der Meulen et al. 2015), which would allow them to maintain increased insulin secretion to compensate for increased peripheral insulin resistance. Indeed, restoration of Ucn3 expression in moderately glycemic ob/ob mice at a disease stage where endogenous Ucn3 has been downregulated immediately aggravates hyperglycemia (van der Meulen et al. 2015), suggesting that the downregulation in effect is protective under these conditions of increased peripheral insulin resistance.
Collectively, our observations here indicate that although the onset of the endogenous expression of UCN3 marks the point at which beta cells acquire functional maturity, beta cells will express other common maturity markers and develop the capability for synchronized, pulsatile calcium responses to high glucose despite the lack of UCN3. These observations that UCN3 is not necessary for beta cell maturation should not distract from the utility of endogenous UCN3 as an excellent beta cell maturity marker under circumstances other than the genetic manipulation of the Ucn3 gene. Furthermore, although UCN3 does not directly signal to beta cells, the possibility that the somatostatin secretion triggered by endogenous UCN3 contributes indirectly to mature beta cell identity and function remains. The onset of UCN3 expression around 2 weeks after birth in mice is correlated with a distinct rise in the glycemic setpoint (Blum et al. 2012), which has long been attributed to the maturation of beta cells (Rozzo et al. 2009; Jermendy et al. 2011). We have previously shown that premature induction of UCN3 specifically in beta cells causes a premature increase in the glycemic set point in mice (van der Meulen et al. 2015). This suggests that UCN3-stimulated somatostatin secretion is the underlying mechanism responsible for the rise in glycemic set point by attenuating insulin secretion, underscoring the importance of paracrine pathways for normal islet function. Whether somatostatin contributes to beta cell maturation beyond this direct attenuation of insulin secretion is an important question that remains unresolved.
Supplementary Material
Funding & Acknowledgements
This work was supported by the National Institute of Diabetes and Digestive and Kidney Disease (NID DK-110276), the Juvenile Diabetes Research Foundation (CDA-2-2013-54 and 2-SRA-2019-700-S-B), and the American Diabetes Association (#1-19-IBS-078). JLH was supported by a National Institute of General Medical Sciences-funded Pharmacology Training Program (T32 GM-099608). SL was supported by the NSF Graduate Research Fellowship (1650042), the UC Davis Training Program in Molecular and Cellular Biology (T32 GM-007377), and the UC Davis NSF Bridge to Doctorate Program (1612490). We thank Jerice Banola, Ariana Momen, and Mohammad Pourhosseinzadeh for assistance with cell quantifications.
Footnotes
Declaration of Interest
The authors declare no conflicts of interest.
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