Abstract
The transcription factor Sox4 has been proposed to underlie the increased type-2 diabetes risk linked to an intronic SNP in CDKAL1. In a mouse model expressing a mutant form of Sox4, glucose-induced insulin secretion is reduced by 40% despite normal intracellular Ca2+ signalling and depolarization-evoked exocytosis. This paradox is explained by a 4-fold increase in kiss-and-run exocytosis (as determined by single-granule exocytosis measurements), in which the fusion pore connecting the granule lumen to the exterior only expands to a diameter of 2 nm that does not allow the exit of insulin. Microarray analysis indicated that this correlated with an increased expression of the exocytosis-regulating protein Stxbp6. In a large collection of human islet preparations (n=63), STXBP6 expression and GIIS correlated positively and negatively with SOX4 expression, respectively. Overexpression of SOX4 in the human insulin-secreting cell EndoC-βH2 interfered with granule emptying and inhibited hormone release, the latter effect was reversed by silencing of STXBP6. These data suggest that increased SOX4 expression inhibits insulin secretion and increased diabetes risk by upregulation of STXBP6 and an increase in kiss-and-run exocytosis at the expense of full fusion. We propose that pharmacological interventions promoting fusion pore expansion may be effective in diabetes therapy.
Keywords: type-2 diabetes, insulin, exocytosis, Sox4, Stxbp6
Introduction
Reduced glucose-induced insulin secretion (GIIS) is a hallmark of type-2 diabetes (1). This disease results from a complex crosstalk between lifestyle factors (like body weight and age) and genetics (1). Insulin is released by Ca2+-dependent exocytosis of insulin-containing secretory granules. Exocytosis involves the fusion of the granular membrane with the plasma membrane, a process that is initiated by the establishment of a narrow fusion pore connecting the granule lumen with the extracellular space (2). Effective release of insulin requires the rapid expansion of the fusion pore so that the secretory granules integrate with the plasma membrane.
Genome-wide association studies have led to the discovery of >100 loci associated with increased type-2 diabetes risk (3; 4), many of which are believed to act through reduced β-cell mass or interference with insulin secretion (5). For most of these loci, gene annotation is only tentative and based on the proximity of the single nucleotide polymorphism (SNP) to a certain gene (4). An intronic SNP in the CDKAL1 gene (rs7756992) is associated with a 50% increase in the risk of type-2 diabetes (6–9). However, recent data indicate CDKAL1 is not the causative gene (9) and that its effect is instead mediated by altered expression of a nearby gene encoding the transcription factor SOX4 (10).
Here we show that increased SOX4 expression is associated with reduced GIIS and elevated plasma glucose and that increased SOX4 expression impedes the delivery of insulin into the extracellular space via increased expression of the exocytosis-regulating protein STXBP6 (amisyn). Overexpression of amisyn promotes the stabilization of the fusion pore and locks it in a partially expanded state (2-3 nm) (11). This prevents the exit of insulin from the granule lumen into the extracellular space and thus impairs insulin secretion.
Research design and Methods
Animal husbandry
Animal work was approved by the local and national authorities. Mice used were described previously (12) but are heterozygous for the Sox4 mutation and were Insr+/+. Mice were killed by cervical dislocation and islets isolated by liberase digestion and handpicking as previously described (13). Static and dynamic measurements of insulin secretion were performed as in (12). Insulin was measured using a mouse insulin ELISA kit (Millipore, Hertfordshire, UK).
Mouse microarray studies
Islets were isolated from 22-week old male wild-type and mutant mice (four animals per genotype) and RNA extracted using a RNeasy mini-kit (Qiagen) and validated using an Agilent 2100 bioanalyzer (Agilent Technologies). Labeled and fragmented cRNA was hybridized to the Affymetrix 430 2.0 whole mouse genome microarray and processed on an Affymetrix GeneChip Fluidics Station 450 and Scanner 3000 (Affymetrix).
Cell transfections, siRNA and secretion assays
The constructs coding for GFP-tagged mouse and human Sox4 and Stxbp6 were purchased from OriGene Technologies (Rockville MD, USA). The Y123C mutation was introduced into mouse Sox4 using QuikChange protocol (Agilent Technologies). INS-1 832/13 cells were transfected using Lipofectamine RNAiMAX (Life Technologies, Paisley, UK). The following siRNAs were used: ON-TARGETplus siRNA SMARTpool for Stxbp6 gene and ON-TARGETplus Non-Targeting Control siRNA (Thermo Scientific, Hemel Hempstead, UK). After 24h, the cells were cotransfected with human growth hormone (hGH) and either DsRed or GFP-tagged mouse Sox4 or Stxbp6 using GeneJuice (Merck Millipore, Nottingham, UK). Supernatants and cell pellets were collected and the amount of growth hormone was measured by using an hGH ELISA kit (Roche Diagnostics, West Sussex, UK). EndoC-βH2 cells (14) were transfected with Human specific ON-TARGETplus siRNA SMARTpools (Thermo Scientific, Hemel Hempstead, UK) for STXBP6 and SOX4 were used in siRNA knockdown experiments. siRNA and transfections were performed as described for INS1-832/13 cells. Quantitative analysis of gene expression was performed using QuantiFast SYBR Green PCR kit and gene specific QuantiTect Primer Assays (both from Qiagen). Expression was calculated using ΔCt method with GAPDH as a reference gene.
Intracellular calcium measurements
Intracellular calcium concentration ([Ca2+]i) was assessed in freshly isolated intact islets using a dual wavelength PTI system (PTI, Monmouth, USA) fitted on an inverted Zeiss microscope allowing ratiometric measurements using the probe fura-2AM (Invitrogen, Paisley, UK) as described previously (15).
Whole-cell measurements of Ca2+ currents and exocytosis
For patch-clamp measurements, islets were dissociated into single β–cells. In whole-cell measurements, insulin-secreting β-cells were identified based on their larger size (>5.5 pF) and complete inactivation of the Na+ current at -70 mV (see ref. no (16)). Exocytosis and whole-cell Ca2+ currents were recorded using an EPC-10 amplifier and the Pulse software (Heka Electronics, Lamprecht/Pfalz, Germany) as described previously (15). Single exocytotic events and fusion pore expansion were detected in the cell-attached configuration. The standard extracellular solution described in (16) supplemented with 20 mM glucose was used as the pipette-filling medium. The PATCHMASTER software (Heka electronics) together with the EPC10 implements an 'internal calibration'. They automatically correct for phase-shifts and frequency-dependent attenuation when a sinusoidal voltage command of 25 kHz is generated (17). The scaled apparent capacitance (Im/ω) and conductance (Re) are then calculated online by the software.
P2X2 receptor expression and current analysis
P2X2 currents were recorded in the whole-cell configuration in identified β-cells as described previously (18,19). Experiments in EndoC-βH2 cells were performed after transfecting cells with both STXBP6 as described above and P2X2 receptors (as described in (20)). To evoke exocytosis, the cells were intracellular medium contained with 0-9 mM CaCl2/10 mM EGTA mixture (calculated free [Ca2+]i: 0 or 2 μM), 3 mM Mg-ATP and 0.1 mM cAMP. The current spikes reflecting vesicular release of ATP were analyzed using the Mini Analysis Program 6.0.3 (Synaptosoft, Decatur, USA) to determine the charge (integrated current; Q) and rise times (t10-90%) and half-widths (HW) of the individual events (20).
Electron microscopy
Isolated islets were washed in PBS and fixed in cold 2.5 % glutaraldehyde in PBS for 1h at 4°C and washed twice in PBS. Islets were incubated for 1h in 1% Osmium tetroxide and washed twice in PBS. Islets were dehydrated through an ethanol series for 5–10min each and then embedded in Agar 100 resin mix (Agar Scientific) pending sectioning and electron microscopy.
Human islet insulin secretion and microarray studies
Islets from cadaveric donors of European ancestry were provided by the Nordic Islet Transplantation Programme (http://www.nordicislets.org). All procedures were approved by the local ethics committee at Lund University. The islets were cultured in supplemented CMRL 1066 (ICN Biomedicals) for 1–9 days prior to RNA preparation. Total RNA was isolated with the AllPrep DNA/RNA Mini Kit (Qiagen). RNA quality and concentration were measured using an Agilent 2100 bioanalyzer (Bio-Rad) and Nanodrop ND-1000 (NanoDrop Technologies). Total RNA was converted into biotin-targeted cRNA, and the biotin-labeled cRNA was fragmented into strands with 35 to 200 nucleotides. This was hybridized onto a Affymetrix GeneChip® Human Gene 1.0 ST chip overnight in a GeneChip® Hybridization 6400 oven. The arrays were washed and stained in a GeneChip® Fluidics Station 450. Scanning was carried out with the GeneChip® Scanner 3000 and image analysis was done with the GeneChip® Operating Software. Data normalization was performed using Robust Multi-array Analysis. Insulin secretion in human islets was measured as described previously (21). Microarray expression data have been deposited at GEO under the accession number GSE50398.
Results
Impaired insulin secretion in Sox4mt mice
Mice harboring a point mutation (Y123C) in Sox4 (Sox4mt mice) have previously been reported to be glucose-intolerant and hypoinsulinemic (12) but the precise mechanism by which this mutation results in diabetes is elusive. As shown in Figure 1A-B, islets from Sox4mt mice have reduced (-50%) GIIS over a range of glucose concentrations, despite similar insulin content, compared to wild-type (Sox4wt) islets. In dynamic (perifusion) measurements, both Sox4wt and Sox4mt islets responded to an elevation of glucose with a biphasic stimulation of insulin secretion (Fig. 1C) but GIIS was equally reduced at all times and the secretion defect could not be corrected by the KATP channel blocker tolbutamide (12).
Figure 1.
Impaired insulin secretion in Sox4mt islets. A-B: Insulin secretion (A) and content (B) measured in intact islets in static incubations. Islets were exposed to increasing glucose concentrations as indicated. Data are from 3 animals per genotype (with 3 technical replicates of 5 islets per animal) experiments. *P<0.05. C: Dynamic measurements (perifusion) in Sox4mt (red) and Sox4wt (black) islets. Data are from 6 animals per genotype with 50 islets per animal and normalized to insulin content *P<0.05 using a one-way Anova, repeated measures.
Glucose-induced [Ca2+]i increases, Ca2+ entry and exocytosis normal in Sox4mt β-cells
Insulin secretion is secondary to electrical activity and the associated elevation of cytoplasmic-free Ca2+ ([Ca2+]i) (22). We measured β-cell [Ca2+]i in intact Sox4wt and Sox4mt islets (Fig. 2A). Both Sox4wt and Sox4mt islets responded to high glucose with a marked, sustained and reversible increase in [Ca2+]i. Tolbutamide was equally effective at increasing [Ca2+]i regardless of the genotype.
Figure 2.
No impairment of [Ca2+]i signaling, exocytosis (measured via whole cell capacitance) and Ca2+ currents. A: Glucose- and tolbutamide-induced increases in cytosolic Ca2+ in Sox4wt (black) or Sox4mt (red) islets. The glucose concentration was varied as indicated above the traces. Tolbutamide was added at a concentration of 0.2 mM. Traces are mean ± S.E.M. of 9 experiments for each genotype (3 islets per animal and 3 animals per genotype) and have been baseline corrected to correct for fading of the fluorophore. B: Increase in membrane capacitance (ΔC) during a train of ten 50 ms depolarizations from -70 mV to 0 mV (V) in Sox4wt (black) and Sox4mt (red) β-cells. Histogram (below) compares the total increase in membrane capacitance (ΣΔC) evoked by the train of depolarizations in Sox4wt (black) and Sox4mt (red) β-cells (n=24-28 β-cells from 4 mice per genotype). C: Peak current (I)-voltage (V) relationship for voltage-gated Ca2+ currents recorded from single Sox4wt (black) and Sox4mt (red) β-cells during depolarizations from -70 mV to membrane potentials between -60 and +80 mV (n=13-16 β-cells from 4 mice per genotype). The horizontal dotted line indicates zero current level.
Since the reduction of insulin secretion in Sox4mt islets was neither corrected by tolbutamide, nor correlated with reduced [Ca2+]i, we hypothesized that the mutation instead interferes with insulin exocytosis (i.e. beyond the increase in [Ca2+]i). We thus compared insulin exocytosis in Sox4wt and Sox4mt β-cells by whole-cell capacitance measurements (23). Exocytosis was elicited by a train of depolarizations roughly emulating the bursts of action potentials that normally trigger insulin secretion (24). Surprisingly, the exocytotic responses were not reduced in Sox4mt β-cells (Fig. 2B). The magnitude of the voltage-gated Ca2+ currents in Sox4mt β-cells was the same as in wt cells (Fig. 2C), making it unlikely that an exocytotic defect is obscured by a compensatory increase Ca2+ entry.
Subtle effects on granule ultrastructure and number in Sox4mt β-cells
Ultrastructurally, Sox4mt β-cells appeared normal (Fig. 3A-B) but the granule density was increased (Fig. 3C) whereas the dense core areas and granule diameters were marginally reduced (Fig. 3D-E).
Figure 3.
Subtle effects on cellular ultrastructure in Sox4mt β-cells. A-B: Representative electron micrographs from Sox4wt (A) andSox4mt (B) β-cells. Scale bars: 1μm. C-E: Granule density (C) and box plots, depicting groups of data according to their quartiles, of the dense core area (D) and granule diameter (E) in Sox4wt (black) and Sox4mt β-cells (grey). At least 6 β-cells from 2 animals per genotype were analyzed. Data in (D) are mean ± S.E.M. **P<0.01. Distributions of core areas and granule diameters were estimated by counting >382 granules per genotype. **P<0.005; ***P<0.0005 (by Mann-Whitney U-test).
Slow granule emptying in Sox4mt β-cells
The secretory granules of pancreatic β-cells store ATP together with insulin (25). We monitored single-granule release of ATP by infecting β-cells with an adenovirus encoding ionotropic purinergic P2X2 receptors (26) (Fig. 4A-B). Exocytosis was triggered by intracellular application of high [Ca2+]i (2 μM). Quantal (single-granule) release of ATP activates the P2X2 receptors near the release sites and thus gives a rise to transient membrane currents (19). The frequency of the exocytotic events thus detected was not different in Sox4wt and Sox4mt β-cells (0.24±0.04 and 0.24±0.04 events/s; not shown), in agreement with the whole-cell capacitance measurements of exocytosis (see Fig. 2C). Importantly, many of the current transients recorded in Sox4mt β-cells exhibited slower kinetics than those observed in Sox4wt cells (Fig. 4C). The size and shape of these transients reflect the amount and speed of ATP release (25). The charge (Q) and kinetics (rise times and half-widths) were measured as illustrated in Supplemental Figure 1.The cumulative histograms of the rise times in Sox4wt and Sox4mt β-cells are compared in Figure 4D. Whereas 70% of the events in Sox4wt β-cells had a rise time of <5 ms, 70% of the events in Sox4mt β-cells had rise times >5 ms. The events recorded in Sox4mt β-cells were also longer and the distribution of the half-widths was biphasic (Fig. 4E); ~20% of the events had duration of 50-200 ms (highlighted by arrow). However, no differences in the distribution of the charge (reflecting the total amount of ATP released) were detected (Fig. 4F).
Figure 4.
Delayed granule emptying in Sox4mt β-cells. A: Release of ATP monitored in individual Sox4wt β-cells expressing ionotropic P2X2 receptors infused with 2 µM free [Ca2+]i. B: As in (A) but using from Sox4mt β-cells. Arrows indicate slow ('kiss-and-run') events. C: Rapid event recorded in a Sox4wt β-cell (black) and slow 'kiss-and-run' events recorded in a Sox4mt (red) β-cell. D: Cumulative histogram for the rise times in Sox4wt (black) and Sox4mt (red) β-cells. (P<0.005 by independent-samples Kolmogorov-Smirnov test). E: As in (D) for half-widths. The arrow indicates that ~20% of release events are of longer duration (P<0.005 by independent-samples Kolmogorov-Smirnov test). F: As in (D-E) for total charge (Q). Data shown in (D-F) based on >368 events obtained from 10 (Sox4mt) and 14 (Sox4wt) β-cells from 2 mice of each genotype. See also Supplemental Figure 1.
Impaired fusion pore expansion in Sox4mt β-cells
We performed on-cell measurements of single-granule exocytosis and fusion pore conductance within the piece of membrane enclosed by the recording electrode. This technique allows fusion pore conductances to be measured for pores up to 10 nm in diameter (27) (Fig. 5A). In both Sox4wt and Sox4mt β-cells, stepwise increases in membrane capacitance (reflecting exocytosis of single insulin granules) were observed. The average amplitude of these steps was 5.2±0.5 (n=119) and 5.3±0.4 fF (n=119). Assuming spherical geometry and a specific membrane capacitance of 10 fFμm-2, these values correspond to a granule diameter of 0.4 μm, in reasonable agreement with the ultrastructural measurements (Fig. 3E). In Sox4wt β-cells, 88% of capacitance steps (Fig. 5B) were either associated with short-lived or no increases at all in membrane conductance (Fig. 5A, left), indicating rapid and irreversible expansion of the fusion pore and complete integration of the granule membrane with the plasmalemma (27). By contrast, in Sox4mt β-cells, 48% of capacitance steps often flickered between the baseline and an elevated level, as expected for ‘kiss-and-run’ exocytosis (28). This difference between Sox4wt and Sox4mt β-cells is statistically significant (P=8.10-7 by χ2 test). During these ‘flickery’ capacitance steps, persistent increases in membrane conductance were observed (Fig. 5A, right). The mean conductance increase averaged 340±31 pS (n=58). Assuming a cylindrical pore length of 15 nm (i.e. 2 x 7.5 nm; 7.5 nm being the thickness of a single membrane layer) and a solution resistivity of 66.7Ω.cm (equation 11.1 in (29)), this value corresponds to a fusion pore diameter of 1.8±0.2 nm (30). The cumulative distribution of the estimated fusion pore diameter is shown in Fig. 5C. In wild-type β-cells, the average fusion pore conductance and diameter were estimated to be 335±42 pS and 1.6±0.3 nm (n=14). It has been reported that the likelihood of kiss-and-run exocytosis correlates with granule diameter (29). We examined this aspect in Sox4mt β-cells. We found that capacitance increase associated with kiss-and-run exocytosis and full fusion averaged 6.3±0.7 (n=57) and 4.5±0.4 fF (n=62; P<0.01), respectively. This is opposite to what is expected from Laplace’s law and argues that factors other than the diameter determines whether a granule undergoes kiss-and-run or full fusion exocytosis.
Figure 5.
Impaired fusion pore expansion in Sox4mt β-cells. A: On-cell measurements of membrane capacitance (C) and conductance (G) showing two examples of full fusion (FF) from a Sox4wt β-cell (left) where the first event is associated with a prominent but short-lived increase in conductance (arrow) and an example of transient exocytosis (kiss-and-run; abbreviated KR) recorded from a Sox4mt β-cell (right) where C returns to baseline and the capacitance step is associated with a persistent increase in G. B: Pie charts summarizing the fraction of full fusion or kiss-and-run exocytosis in Sox4wt (n=119 events in 23 cells from 5 mice) and Sox4mt (120 events in 30 cells from 5 mice) β-cells (P=8.10-7 by χ2 test). C: Cumulative histogram of the distribution of estimated fusion pore diameters in Sox4mt β-cells. The dashed vertical line indicates a fusion pore diameter of 1.1 nm (enough to allow the exit of ATP). Also note that 10% of the events have an estimated pore diameter >6nm. See also Supplemental Table 1.
Gene expression microarrays
To identify target genes of Sox4 in β-cells, we performed a gene expression microarray on Sox4wt and Sox4mt islets (Supplemental Table 2). A total of 60 genes were up-regulated (1.5- to 2.9-fold) and 56 genes were down-regulated (1.5- to 3.3-fold). Given the phenotype, genes involved in exocytosis are particularly interesting. These include Stxbp6 (also known as amisyn; up-regulated 2.1-fold), Doc2b (down-regulated 1.8-fold) and Rab3c (down-regulated 2-fold). Total ablation of Doc2b was recently found to have only a small (10%) inhibitory effect on GIIS (30). Expression of a GTPase-deficient mutant of Rab3c has a very moderate effect on insulin secretion (31). Reduced expression of Doc2b and Rab3c are therefore unlikely to explain the reduction of GIIS in Sox4mt islets. However, overexpression of Stxbp6 has been reported to slow the expansion of the fusion pore in adrenal chromaffin cells (11). The latter effect is obviously reminiscent of that we observe in Sox4mt β-cells.
Overexpression of Sox4mt interferes with glucose-induced secretion in rat insulinoma cells
In islets from Sox4mt mice, Sox4 expression is increased by 100% compared to wild-type islets (Supplemental Fig. 3 in (12)). We therefore hypothesised that the effects on GIIS in Sox4mt islets may be mediated via increased Sox4 activity which, in turn, leads to increased Stxbp6 expression and impaired fusion pore expansion. We compared the effects of similarly overexpressing Sox4wt and Sox4mt on Stxbp6 expression in INS-1 832/13 cells (Supplemental Fig. 2). Both Sox4wt and Sox4mt increased Stxbp6 expression, but the effect was stronger for the mutant (Fig. 6A). In secretion experiments, down- and up-regulation of Stxbp6 stimulated and inhibited glucose-induced growth hormone release (used as a proxy for insulin secretion in transfected cells (32)) by 30% and 40%, respectively (Fig. 6B). Whilst overexpression of Sox4wt had only a small inhibitory effect (-15%) on hormone release, stronger inhibition (-40%) was observed when overexpressing Sox4mt (Fig. 6B). Silencing Stxbp6 largely reversed the inhibitory effect of overexpressing Sox4mt.
Figure 6.
Mutant Sox4 mediates its effects on insulin secretion via Stxbp6. A: qRT PCR analysis of Stxbp6 expression in INS-1 832/13 cells transfected with scrambled siRNA + DsRed + hGH (dashed horizontal line; control), scrambled siRNA + Sox4wt + hGH (labeled '+Sox4') or scrambled siRNA + Sox4mt + hGH ('+Sox4mt'). †P<0.05 wt vs Sox4. B: hGH release (as a proxy for insulin release in transfected cells) from INS-1 832/13 cells transfected with scrambled siRNA + DsRed + hGH (labeled 'control'), si-Stxbp6 + DsRed + hGH ('-Stxbp6') and scrambled siRNA + Stxbp6 + hGH ('+Stxbp6'), scrambled siRNA + Sox4wt + hGH ('+Sox4'), si-Stxbp6 + Sox4wt + hGH ('+Sox4-Stxbp6'), scrambled siRNA + Sox4mt + hGH ('+Sox4mt') and si-Stxbp6 +Sox4mt + hGH ('+Sox4mt-Stxbp6') incubated with 1 or 20mM glucose (as indicated). Data are presented as mean ± S.E.M. of 4 experiments, each with 3 replicates. *P<0.05; **P<0.01; and ***P<0.001 for comparison vs control (1 or 20 mM glucose alone) and ††P<0.01 vs Sox4wt and ‡‡‡P<0.01 vs Sox4mt (by ANOVA and Tukey's tests). See also Supplemental Figure 2.
Increased SOX4 expression in human islets correlates with reduced GIIS
To extend these data to man, we correlated SOX4 expression to donor HbA1c levels (a surrogate measure of long-term plasma glucose control), STXBP6 expression and GIIS in a large collection of human islet preparations. There was a positive association between SOX4 expression and HbA1c levels (Fig. 7A) and STXBP6 expression (Fig. 7B) but a negative correlation between SOX4 and GIIS (Fig. 7C). In agreement with published data (33), there was a tendency towards higher SOX4 expression in islets from donors with type-2 diabetes (defined as established disease or HbA1c>6%; Supplemental Fig. 3A). There was also a positive association between CDKAL1 and SOX4 expression (Supplemental Fig. 3B).
Figure 7.
Effects of SOX4 and STXBP6 on human β-cell function. A: Relationship between SOX4 expression and HbA1c levels. R=0.305; P=0.036; n=52. B: Relationship between SOX4 expression and STXBP6 expression R=0.321; P=0.021; n=63. C: Relationship between SOX4 expression and GIIS. R=-0.292; P=0.043; n=48. For display, data in (A-C) have been grouped in quintiles. Best-fit black lines represent Pearson correlation analyses to the individual data points. D: qRT PCR analysis of SOX4 and STXBP6 expression in human cells transfected with scrambled siRNA + DsRed + hGH (dashed horizontal line; labelled 'Control'), scrambled siRNA + SOX4wt + hGH ('+SOX4'), si-STXBP6 + SOX4wt + hGH ('+SOX4-STXBP6') and si-SOX4 + DsRed + hGH ('-SOX4'). Data are presented as mean ± S.E.M. of 3 experiments, each with 3 replicates; **P<0.01 vs control (dashed horizontal line); ††P<0.01 vs '+SOX4' (by ANOVA and Tukey's tests). E-F: As in (D) but hGH release (as a proxy for insulin release in transfected cells) was measured in EndoC-βH2 cells exposed to 20mM glucose + 70mM [K+]o. **P<0.01 vs 'control'; ††P<0.01 vs '+SOX4' (by ANOVA and Tukey's tests). Mean ± S.E.M. of 4 experiments, each with 3 replicates. Note that (E) and (F) were carried out independently, and for (F) data are presented as mean ± S.E.M. of 3 experiments, each with 3 replicates. See also Supplemental Figure 3A-D. G: Effects of overexpressing STXBP6 on ATP release in the human insulin-secreting cell line EndoC-βH2. Traces are labeled ‘Control’ (cells expressing DsRed alone) and ‘+STXBP6’ (cells overexpressing STXBP6). The top trace shows recordings when the cells were infused with Ca2+-free medium (several sweeps have been superimposed). H: Cumulative histogram for the charge (Q) of the events in ‘Control’ (black) and ‘+STXBP6’ cells (red) (P<0.005 by independent-samples Kolmogorov-Smirnov test). Data based on 1100-1400 events in 9-10 cells. I: Product of mean charge and frequency of events in ‘Control’ and ‘+STXBP6’ cells. P<0.05 vs. ‘Control’. See also Supplemental Fig. 4.
These analyses suggest that increased SOX4 expression, via elevated STXBP6, reduces GIIS in human β-cells. We confirmed this by experimentally up- and down-regulating SOX4 and STXBP6 in the glucose-responsive (Supplemental Fig. 3C) human β-cell line EndoC-βH2 (14). Moderate overexpression (+150%) of SOX4 in EndoC-βH2 cells was associated with a 250% increase in STXBP6 expression (Fig. 7D), an effect that was fully antagonised by knockdown of STXBP6 by siRNA (si-STXBP6). By contrast, silencing of SOX4 did not reduce STXBP6 expression below the low basal level. Overexpression of SOX4 inhibited insulin secretion by 50%, an effect that was reversed by knockdown of STXBP6 (Fig. 7E). Overexpression of SOX4 also increased expression of syntaxin-1a (STX1A; Supplemental Fig. 3D), possibly to compensate for the binding of stxbp6 to syntaxin-1 (34), but this effect is unlikely to explain the suppression of insulin secretion as a positive correlation between STX1A expression and GIIS has been reported (35). Down-regulation of SOX4 neither affected STXBP6 expression (Fig. 7D), nor hormone release (Fig. 7F).
To examine the effect of increased STXBP6 expression on granule emptying in human insulin-secreting cells, we expressed P2X2Rs in EndoC-βH2 cells and monitored single-granule ATP release (Fig. 7G). Overexpression of STXBP6 resulted in a marked decrease in ATP release (measured as a decrease in Q; Fig. 7H). The mean charge of events was reduced by 90%. However, the frequency of the events was increased from 1.04±0.38 to 2.8±1.3 Hz (n=9 or 10; not statistically different). Combining the two effects suggest that there is a 70% reduction in stimulated ATP release following overexpression of STXBP6 (Fig. 7I), in reasonable agreement with the 60% suppression of stimulated hGH release (Fig. 6B). Similar results were obtained in INS 832/13 cells. No ATP release events were observed when the EndoC-βH2 cells were infused with Ca2+-free medium (Fig, 7F, top trace)
Discussion
Type-2 diabetes represents an epitome of a polygenic disorder (1). Genome-wide association studies have led to the identification of ~120 common gene variants (SNPs) with increased type 2 diabetes risk (36). For the majority of these gene variants, the precise cellular/molecular mechanisms underlying the increased disease risk remain obscure. The diabetes-associated SNP rs7756992 is commonly referred to CDKAL1 but recently it was suggested that this locus increases disease risk via SOX4 rather than CDKAL1 (see (10)). Intriguingly, its expression is increased in diabetic islets (35) but whether increased expression of SOX4 is causally linked to type 2 diabetes and (if so) the underlying cell biological mechanism have not been studied.
Here we show that increased SOX4 expression in human pancreatic islets correlates with reduced GIIS in vitro and increased HbA1C levels in vivo. Interestingly, we also found a correlation between CDKAL1 and SOX4 expression, in keeping with the idea that the CDKAL1 locus influences the expression of both CDKAL1 and SOX4 (10). We also observed a tendency towards increased SOX4 expression in islets from diabetic donors (Supplemental Fig. 3A), in agreement with what was previously reported based on microarray analysis of a β-cell-enriched fraction obtained my laser capture microdissection (35).
To address the mechanisms by which SOX4 may interfere with insulin secretion in man, we made use of the Sox4mt mouse model, in which islet Sox4 expression is twice that of wild-type islet (12). We found that GIIS was reduced by ~50% in Sox4mt islets, a defect that was not corrected by the sulfonylurea tolbutamide. The reduction of insulin secretion could not be attributed to any impairment of key functional parameters such as glucose-induced [Ca2+]i, Ca2+ entry or exocytosis (determined as depolarization-evoked increases in whole-cell membrane capacitance).
The delivery of insulin and other granule constituents, like ATP (25), into the extracellular space requires the establishment and expansion of a ‘fusion pore’ connecting the granule lumen and the exterior (27). Normally, the initial opening of the fusion pore is followed by its rapid expansion and, following a short delay, the entire granule ‘collapses’ into the plasma membrane, ensuring efficient delivery of the high molecular-weight cargo into the extracellular space (‘full fusion’). Occasionally, however, fusion pore expansion is halted following the initial opening and may eventually close (‘kiss-and-run’ exocytosis (27)).
Using on-cell capacitance measurements of individual exocytotic events and the associated fusion pore openings, we found that full fusion was the predominant (~90%) form of exocytosis in wt β-cells, in agreement with previous reports (29). However, fusion pore expansion is impaired in Sox4mt β-cells and the fraction kiss-and-run release events increased to ~50% at the expense of full fusion. During the kiss-and-run events, the fusion pore is locked in a partially expanded state with a diameter of 1-2 nm.
We determined the functional impact of this on the evacuation of the granule lumen by measurements of ATP release. The molecular dimensions of ATP are 1.6*1.1*0.5 nm. With the observed distribution of fusion pore diameters, we estimate that ~20% of the total number of release events in Sox4mt β-cells (i.e. 43% of the 50% showing persistent fusion pore) have fusion pore diameters smaller/comparable to the narrowest cross-section of ATP (indicated by a vertical dashed line in Fig. 5C. Thus, the fusion pore may functions as a molecular sieve that restricts the exit of ATP by steric hindrance. This likely accounts for the slower rise times of ATP release and the component of ATP release events with a duration >20ms (Fig. 4D). Larger molecules like insulin are likely to face an even greater problem exiting via the narrow fusion pore. At concentrations >2 mM, insulin exists as hexamer with a hydrodynamic radius of 5.6 nm (37). Given that the intra-granular insulin concentration is ≈100 mM (22), we conclude that insulin is trapped within the secretory granules undergoing kiss-and-run exocytosis. Indeed, the observed decrease in ‘full fusion’ from 88% to 52% is sufficient to account for the observed 40% reduction of GIIS in Sox4mt islets. It is tempting to speculate that the reduction in full fusion accounts for the increased granule density observed in Sox4mt β-cells. Although most fusion pores are mostly too small to allow exit of insulin, 10% have a diameter >6 nm. A fusion pore diameter as large as this is sufficient to allow the exit of a hexameric insulin, which might explain the slight reduction in dense core area of the insulin granules (Fig. 3D).
Being a transcription factor, it is not surprising that the expression of >100 genes were affected in Sox4mt islets. However, guided by the functional data implicating specifically kiss-and-run exocytosis, we identified Stxbp6 (amisyn) as a likely mediator. Overexpression of Stxbp6/STXBP6 mimics the effects of Sox4/SOX4 on secretion in rat/human insulinoma cells. Conversely, silencing Stxbp6/STXBP6 reverses the inhibitory effect of overexpressing Sox4/SOX4. Unexpectedly, and unlike what has previously been observed in rodent insulinoma cells (12), silencing SOX4 in human insulinoma cells did not affect hormone release. The mechanism underlying this discrepancy remains unclear.
Our data suggest that increased expression/activity of SOX4, via increased expression of STXBP6 and impaired expansion of the fusion pore, plays a role in insulin secretion and diabetes etiology. This scenario is in agreement with the proposal that Stxbp6 forms nonfusogenic complexes with syntaxin and thereby contributes to the regulation of SNARE complex formation (35). This is the first example of a major disease that can be linked to defective fusion pore expansion. It is possible that the mechanisms we have uncovered here may become activated during long-term hyperglycaemia, a condition reported to be associated with an increase in kiss-and-run exocytosis (38). It appears that the effect of increased STXBP6 expression is graded. Whereas a moderate increase (up to +100%) results in an increased occurrence of kiss-and-run exocytosis (as seen in the Sox4mt mice), stronger overexpression may result in exocytosis being aborted before granule emptying (see Schematic in Supplemental Fig. 4). In cells overexpressing STXBP6, we observed small and short events, possibly reflecting repetitive openings/closures of the fusion pore releasing a puff of ATP every time.
If increased SOX4 expression is part of the disease etiology and if it acts by interference with fusion pore expansion, then it may seem paradoxical that type-2 diabetes is not also associated with defects of neurotransmission. There is in fact a link between type-2 diabetes and neuropsychiatric disorders (39). It should be noted, however, that for low molecular-weight neurotransmitters, slowed/partial fusion pore expansion will only have a marginal effect on their release because they are small enough to pass through a constricted fusion pore.
This study illustrates how detailed cell physiological studies can help us move from SNPs, via identification of the actual gene involved, to a fuller understanding of the causal mechanisms. These findings raise the interesting possibility that pharmacological procedures promoting full fusion may correct the insulin secretion defect in type 2 diabetes.
Supplementary Material
This article contains Supplemental Data online at http://diabetes.diabetesjournals.org/lookup/suppl/xxxxxxx.xxx
Acknowledgements
The authors acknowledge David Wiggins for technical assistance and the staff at the Mary Lyon Centre at MRC Harwell for maintaining the Sox4 mutant mouse colony. Dr Patricia Muller (Leicester University) for advice on cell transfection, Professor Jochen Lang (Université de Bordeaux) and Professor Raphael Scharfmann (INSERM, Paris) for the provision of the INS-1 832/13 and EndoC-βH2 cells, respectively.
Funding The authors acknowledge support from the Wellcome Trust (Senior Investigator Award: 095531/Z/11/Z, PR), the Medical Research Council (BH, RC and PR, MR: /L020149/1),the Wellcome Trust-supported training programme OXION (JG), Swedish Research Council (VR, International Recruitment), and the Knut and Alice Wallenbergs Stiftelse (Wallenberg Scholars Programme).
Footnotes
Author Contributions. SC drafted, edited, revised the manuscript, prepared the figures, performed experiments, analysed the data and designed study. HD, BH, AH, drafted the manuscript, prepared the figures, performed experiments, analysed the data. JA, MC, JG, MG, AS, AHR, SL and AT performed experiments, analysed the data. RC and PR designed the study and drafted, edited, revised the manuscript. SC is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Duality of Interest. No potential conflicts of interest relevant to this article were reported.
References
- 1.Ashcroft FM, Rorsman P. Diabetes mellitus and the beta cell: the last ten years. Cell. 2012;148:1160–1171. doi: 10.1016/j.cell.2012.02.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.MacDonald PE, Braun M, Galvanovskis J, Rorsman P. Release of small transmitters through kiss-and-run fusion pores in rat pancreatic beta cells. Cell Metab. 2006;4:283–290. doi: 10.1016/j.cmet.2006.08.011. [DOI] [PubMed] [Google Scholar]
- 3.McCarthy MI. Genomics, type 2 diabetes, and obesity. N Engl J Med. 2010;363:2339–2350. doi: 10.1056/NEJMra0906948. [DOI] [PubMed] [Google Scholar]
- 4.Bonnefond A, Froguel P. Rare and Common Genetic Events in Type 2 Diabetes: What Should Biologists Know? Cell Metab. 2015 doi: 10.1016/j.cmet.2014.12.020. [DOI] [PubMed] [Google Scholar]
- 5.Rosengren AH, Braun M, Mahdi T, Andersson SA, Travers ME, Shigeto M, Zhang E, Almgren P, Ladenvall C, Axelsson AS, Edlund A, et al. Reduced insulin exocytosis in human pancreatic beta-cells with gene variants linked to type 2 diabetes. Diabetes. 2012;61:1726–1733. doi: 10.2337/db11-1516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Zeggini E, Weedon MN, Lindgren CM, et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science. 2007;316:1336–1341. doi: 10.1126/science.1142364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Scott LJ, Mohlke KL, Bonnycastle LL, Willer CJ, Li Y, Duren WL, Erdos MR, Stringham HM, Chines PS, Jackson AU, Prokunina-Olsson L, et al. A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science. 2007;316:1341–1345. doi: 10.1126/science.1142382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Steinthorsdottir V, Thorleifsson G, Reynisdottir I, Benediktsson R, Jonsdottir T, Walters GB, Styrkarsdottir U, Gretarsdottir S, Emilsson V, Ghosh S, Baker A, et al. A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. Nat Genet. 2007;39:770–775. doi: 10.1038/ng2043. [DOI] [PubMed] [Google Scholar]
- 9.Locke JM, Wei FY, Tomizawa K, Weedon MN, Harries LW. A cautionary tale: the non-causal association between type 2 diabetes risk SNP, rs7756992, and levels of non-coding RNA, CDKAL1-v1. Diabetologia. 2015 doi: 10.1007/s00125-015-3508-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ragvin A, Moro E, Fredman D, Navratilova P, Drivenes O, Engstrom PG, Alonso ME, de la Calle Mustienes E, Gomez Skarmeta JL, Tavares MJ, Casares F, et al. Long-range gene regulation links genomic type 2 diabetes and obesity risk regions to HHEX, SOX4, and IRX3. Proc Natl Acad Sci U S A. 2010;107:775–780. doi: 10.1073/pnas.0911591107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Constable JR, Graham ME, Morgan A, Burgoyne RD. Amisyn regulates exocytosis and fusion pore stability by both syntaxin-dependent and syntaxin-independent mechanisms. J Biol Chem. 2005;280:31615–31623. doi: 10.1074/jbc.M505858200. [DOI] [PubMed] [Google Scholar]
- 12.Goldsworthy M, Hugill A, Freeman H, Horner E, Shimomura K, Bogani D, Pieles G, Mijat V, Arkell R, Bhattacharya S, Ashcroft FM, et al. Role of the transcription factor sox4 in insulin secretion and impaired glucose tolerance. Diabetes. 2008;57:2234–2244. doi: 10.2337/db07-0337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Shimomura K, Galvanovskis J, Goldsworthy M, Hugill A, Kaizak S, Lee A, Meadows N, Quwailid MM, Rydstrom J, Teboul L, Ashcroft F, et al. Insulin secretion from beta-cells is affected by deletion of nicotinamide nucleotide transhydrogenase. Methods Enzymol. 2009;457:451–480. doi: 10.1016/S0076-6879(09)05025-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Scharfmann R, Pechberty S, Hazhouz Y, von Bulow M, Bricout-Neveu E, Grenier-Godard M, Guez F, Rachdi L, Lohmann M, Czernichow P, Ravassard P. Development of a conditionally immortalized human pancreatic beta cell line. J Clin Invest. 2014;124:2087–2098. doi: 10.1172/JCI72674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Collins SC, Hoppa MB, Walker JN, Amisten S, Abdulkader F, Bengtsson M, Fearnside J, Ramracheya R, Toye AA, Zhang Q, Clark A, et al. Progression of diet-induced diabetes in C57BL6J mice involves functional dissociation of Ca2(+) channels from secretory vesicles. Diabetes. 2010;59:1192–1201. doi: 10.2337/db09-0791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Zhang Q, Chibalina MV, Bengtsson M, Groschner LN, Ramracheya R, Rorsman NJ, Leiss V, Nassar MA, Welling A, Gribble FM, Reimann F, et al. Na+ current properties in islet alpha- and beta-cells reflect cell-specific Scn3a and Scn9a expression. J Physiol. 2014;592:4677–4696. doi: 10.1113/jphysiol.2014.274209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Neef A, Heinemann C, Moser T. Measurements of membrane patch capacitance using a software-based lock-in system. Pflugers Arch. 2007;454:335–344. doi: 10.1007/s00424-006-0191-1. [DOI] [PubMed] [Google Scholar]
- 18.Braun M, Wendt A, Karanauskaite J, Galvanovskis J, Clark A, MacDonald PE, Rorsman P. Corelease and differential exit via the fusion pore of GABA, serotonin, and ATP from LDCV in rat pancreatic beta cells. J Gen Physiol. 2007;129:221–231. doi: 10.1085/jgp.200609658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Obermuller S, Lindqvist A, Karanauskaite J, Galvanovskis J, Rorsman P, Barg S. Selective nucleotide-release from dense-core granules in insulin-secreting cells. J Cell Sci. 2005;118:4271–4282. doi: 10.1242/jcs.02549. [DOI] [PubMed] [Google Scholar]
- 20.Karanauskaite J, Hoppa MB, Braun M, Galvanovskis J, Rorsman P. Quantal ATP release in rat beta-cells by exocytosis of insulin-containing LDCVs. Pflugers Archiv : European journal of physiology. 2009;458:389–401. doi: 10.1007/s00424-008-0610-6. [DOI] [PubMed] [Google Scholar]
- 21.Rosengren AH, Jokubka R, Tojjar D, Granhall C, Hansson O, Li DQ, Nagaraj V, Reinbothe TM, Tuncel J, Eliasson L, Groop L, et al. Overexpression of alpha2A-adrenergic receptors contributes to type 2 diabetes. Science. 2010;327:217–220. doi: 10.1126/science.1176827. [DOI] [PubMed] [Google Scholar]
- 22.Rorsman P, Renstrom E. Insulin granule dynamics in pancreatic beta cells. Diabetologia. 2003;46:1029–1045. doi: 10.1007/s00125-003-1153-1. Epub 2003 Jul 1017. [DOI] [PubMed] [Google Scholar]
- 23.Kanno T, Ma X, Barg S, Eliasson L, Galvanovskis J, Gopel S, Larsson M, Renstrom E, Rorsman P. Large dense-core vesicle exocytosis in pancreatic beta-cells monitored by capacitance measurements. Methods. 2004;33:302–311. doi: 10.1016/j.ymeth.2004.01.003. [DOI] [PubMed] [Google Scholar]
- 24.Rorsman P, Eliasson L, Kanno T, Zhang Q, Gopel S. Electrophysiology of pancreatic beta-cells in intact mouse islets of Langerhans. Progress in biophysics and molecular biology. 2011;107:224–235. doi: 10.1016/j.pbiomolbio.2011.06.009. [DOI] [PubMed] [Google Scholar]
- 25.Galvanovskis J, Braun M, Rorsman P. Exocytosis from pancreatic beta-cells: mathematical modelling of the exit of low-molecular-weight granule content. Interface Focus. 2011;1:143–152. doi: 10.1098/rsfs.2010.0006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.MacDonald PE, Rorsman P. The ins and outs of secretion from pancreatic beta-cells: control of single-vesicle exo- and endocytosis. Physiology (Bethesda) 2007;22:113–121. doi: 10.1152/physiol.00047.2006. [DOI] [PubMed] [Google Scholar]
- 27.Alabi AA, Tsien RW. Perspectives on kiss-and-run: role in exocytosis, endocytosis, and neurotransmission. Annu Rev Physiol. 2013;75:393–422. doi: 10.1146/annurev-physiol-020911-153305. [DOI] [PubMed] [Google Scholar]
- 28.Hille B. Ion channels of excitable membranes. Sunderland: Mass, Sinauer; 2001. [Google Scholar]
- 29.MacDonald PE, Obermuller S, Vikman J, Galvanovskis J, Rorsman P, Eliasson L. Regulated exocytosis and kiss-and-run of synaptic-like microvesicles in INS-1 and primary rat beta-cells. Diabetes. 2005;54:736–743. doi: 10.2337/diabetes.54.3.736. [DOI] [PubMed] [Google Scholar]
- 30.Li J, Cantley J, Burchfield JG, Meoli CC, Stockli J, Whitworth PT, Pant H, Chaudhuri R, Groffen AJ, Verhage M, James DE. DOC2 isoforms play dual roles in insulin secretion and insulin-stimulated glucose uptake. Diabetologia. 2014;57:2173–2182. doi: 10.1007/s00125-014-3312-y. [DOI] [PubMed] [Google Scholar]
- 31.Iezzi M, Escher G, Meda P, Charollais A, Baldini G, Darchen F, Wollheim CB, Regazzi R. Subcellular distribution and function of Rab3A, B, C, and D isoforms in insulin-secreting cells. Mol Endocrinol. 1999;13:202–212. doi: 10.1210/mend.13.2.0228. [DOI] [PubMed] [Google Scholar]
- 32.Dubois M, Vacher P, Roger B, Huyghe D, Vandewalle B, Kerr-Conte J, et al. Glucotoxicity inhibits late steps of insulin exocytosis. Endocrinology. 2007 Apr;148(4):1605–14. doi: 10.1210/en.2006-1022. [DOI] [PubMed] [Google Scholar]
- 33.Marselli L, Thorne J, Dahiya S, Sgroi DC, Sharma A, Bonner-Weir S, Marchetti P, Weir GC. Gene expression profiles of Beta-cell enriched tissue obtained by laser capture microdissection from subjects with type 2 diabetes. PLoS ONE. 2010;5:e11499. doi: 10.1371/journal.pone.0011499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Scales SJ, Hesser BA, Masuda ES, Scheller RH. Amisyn, a novel syntaxin-binding protein that may regulate SNARE complex assembly. J Biol Chem. 2002;277:28271–28279. doi: 10.1074/jbc.M204929200. [DOI] [PubMed] [Google Scholar]
- 35.Andersson SA, Olsson AH, Esguerra JL, Heimann E, Ladenvall C, Edlund A, Salehi A, Taneera J, Degerman E, Groop L, Ling C, et al. Reduced insulin secretion correlates with decreased expression of exocytotic genes in pancreatic islets from patients with type 2 diabetes. Mol Cell Endocrinol. 2012;364:36–45. doi: 10.1016/j.mce.2012.08.009. [DOI] [PubMed] [Google Scholar]
- 36.Prasad RB, Groop L. Genetics of type 2 diabetes-pitfalls and possibilities. Genes (Basel) 2015;6:87–123. doi: 10.3390/genes6010087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Hvidt S. Insulin association in neutral solutions studied by light scattering. Biophys Chem. 1991;39:205–213. doi: 10.1016/0301-4622(91)85023-j. [DOI] [PubMed] [Google Scholar]
- 38.Tsuboi T, Ravier MA, Parton LE, Rutter GA. Sustained exposure to high glucose concentrations modifies glucose signaling and the mechanics of secretory vesicle fusion in primary rat pancreatic beta-cells. Diabetes. 2006;55:1057–1065. doi: 10.2337/diabetes.55.04.06.db05-1577. [DOI] [PubMed] [Google Scholar]
- 39.Gough SC, O'Donovan MC. Clustering of metabolic comorbidity in schizophrenia: a genetic contribution? J Psychopharmacol. 2005;19:47–55. doi: 10.1177/0269881105058380. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.







