Abstract
Insulin secretion is widely thought to be maximally stimulated in glucose concentrations of 16.7-to-30 mM (300-to-540 mg/dL). However, insulin secretion is seldom tested in hyperglycemia exceeding these levels despite the Guinness World Record being 147.6 mM (2656 mg/dL). We investigated how islets respond to 1-h exposure to glucose approaching this record. Insulin secretion from human islets at 12 mM glucose intervals dose-dependently increased until at least 72 mM glucose. Murine islets in 84 mM glucose secreted nearly double the insulin as in 24 mM (p < 0.001). Intracellular calcium was maximally stimulated in 24 mM glucose despite a further doubling of insulin secretion in higher glucose, implying that insulin secretion above 24 mM occurs through amplifying pathway(s). Increased osmolarity of 425-mOsm had no effect on insulin secretion (1-h exposure) or viability (48-h exposure) in murine islets. Murine islets in 24 mM glucose treated with a glucokinase activator secreted as much insulin as islets in 84 mM glucose, indicating that glycolytic capacity exists above 24 mM. Using an incretin mimetic and an adenylyl cyclase activator in 24 mM glucose enhanced insulin secretion above that observed in 84 mM glucose while adenylyl cyclase inhibitor reduced stimulatory effects. These results highlight the underestimated ability of islets to secrete insulin proportionally to extreme hyperglycemia through adenylyl cyclase activity.
Keywords: amplifying pathway, hyperglycemia, adenylyl cyclase, incretins, glucokinase, forskolin, cAMP, exenatide, diabetes, insulin, islets
1. Introduction
Pancreatic beta cells secrete insulin in response to glucose stimulation to maintain blood glucose levels within a relatively narrow range [1]. Insulin is required to transport glucose from the bloodstream to target tissues. High blood glucose levels in the body are caused by problems with insulin secretion, insulin action, or both. Extremely high levels of glucose lead to the presentation of ketoacidosis or hyperosmolar hyperglycemic nonketoic syndrome, which are key indicators of the metabolic disease diabetes [2]. Poor control of glucose regulation in this disease can bring potential stupor, coma, or death [3].
In humans, insulin secretion is typically stimulated by glucose concentrations ranging from 4.4 to 6.6 mM (80–120 mg/dL) [2,4]. Moreover, it is generally accepted that the effective concentration of glucose for half of the maximal insulin secretion (EC50) is approximately 5 mM. These EC50 estimations are based on dose-response curves with the highest stimulation typically being described at 16.7 (300 mg/dL) to 30 mM (540 mg/dL). However, close inspection of published glucose dose-response curves suggests that even though a classic sigmoid dose-response curve should flatten out, the curves typically show an increasing trend of higher insulin secretion near the maximal glucose level tested. This provokes the hypothesis that insulin secretion may be sensitive to a much wider range of glucose concentrations than commonly thought [5,6,7,8,9].
Interestingly, there are multiple case reports of individuals who have had blood glucose levels greater than 100 mM (1800 mg/dL) and survived [2,4,10,11]. This includes the world record blood glucose level of 147.6 mM (2656 mg/dL) which was set by a young boy when admitted to the hospital [11]. The pathways involving insulin secretion at extremely high glucose concentrations have not been examined to our knowledge.
Glucose is the primary stimulator of insulin release from pancreatic beta cells. The ability of glucose to elicit an increase in intracellular calcium leading to insulin secretion is known as the triggering pathway [12,13,14]. This pathway begins when glucose enters the beta cell through both the GLUT 1 and GLUT 3 glucose transporters in human islets and the GLUT 2 transporter in mouse islets [13,14]. Glucose is then phosphorylated by glucokinase and yields glucose-6-phosphate which travels through glycolysis to yield pyruvate and ATP. Glycolysis and downstream mitochondrial metabolism drive the ratio of ATP to ADP to rise, leading to the closure of KATP channels. This closure activates the voltage-dependent calcium channels to allow the influx of calcium that constitutes the triggering pathway for insulin secretion.
In addition to the triggering pathway, many different intermediate metabolites of glucose and other cellular components are thought to participate in a series of events known as the amplification pathway(s) in which KATP channel closure is not the source of the increased insulin secretion. A review on this topic contained within this special issue describes this pathway as “the sequence of events that enables the secretory response to a nutrient secretagogue to exceed the secretory response of a purely depolarizing stimulus” [15]. Cyclic adenosine monophosphate (cAMP) is a powerful player in the amplification pathway-related insulin secretion. Glucose is a known factor leading to the upregulation of cAMP which is formed from ATP via adenylyl cyclases [16], although the exact mechanism of metabolism stimulated cAMP is unknown. Additionally, there is a glucose-linked amplification pathway that augments insulin secretion through adenylyl cyclase (AC) activation caused by incretin stimulation. Incretins are hormones secreted by endocrine cells in the small intestine after meal ingestion that lead to insulin secretion [12]. Gastric inhibitory polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) are specific incretins that act on the beta cell. Incretins interact with G-protein-coupled receptors at the cell membrane and lead to an upregulation of cAMP [17,18]. The common theme is that cAMP is involved in the early steps leading to insulin secretion in these amplifying pathway(s).
In this study, we aim to determine the relationship between glucose stimulation and insulin secretion in a much higher glucose range than typically examined. We show that insulin secretion is maintained in response to extreme glucose, osmolarity does not affect insulin secretion or islet viability at extreme levels, and that intracellular calcium is maximized at 24 mM glucose. We also sought to identity possible pathway(s) used in extreme glucose conditions and found that adenylyl cyclase plays an important role.
2. Results
2.1. Insulin Secretion Is Maintained in Response to Extreme Glucose
Identifying the maximal physiological response of biological systems often gives insight into function. We wanted to determine what happens to insulin secretion above the commonly accepted maximum concentration of glucose for stimulation. We thus examined insulin secretion from human and murine islets in conditions of extremely high glucose. Islets from human donors were placed in mannitol-balanced Krebs-Ring buffer (KRB) solutions containing glucose ranging from 0 mM to 144 mM for 1 h. As shown in Figure 1A, insulin secretion from each of the four donors was normalized to their respective maximal value and averaged amongst donors (see Table 1 for donor information). From 0 to 24 mM, there was a significant upward trend (rho = 0.93, p < 0.001) and from 24–84 mM, there was still a positive correlation, though not as strong (rho = 0.73, p < 0.001). Insulin secretion from murine islets was also measured (Figure 1B). From 0–24 mM, there was a strong upward trend (rho = 0.75, p < 0.001), and from 24–84 mM, there was still a significant positive trend (rho = 0.63, p < 0.001). Overall, there was a positive correlation between insulin and glucose for 0–24 mM, as expected, but a similar relationship exists from 24 mM glucose and beyond.
Table 1.
Source | Isolation ID | Purity | Donor Age | BMI | Height (m) | Weight (kg) | HbA1c | Sex | Diabetes | Cold Ischemia Time (h) | Donation Type |
---|---|---|---|---|---|---|---|---|---|---|---|
IsletCore, University of Alberta | R286 | 95% | 41 | 20.4 | 1.80 | 66 | 5.2 | M | No | 13.5 | Neurological |
IsletCore, University of Alberta | R318 | 90% | 54 | 20.5 | 1.85 | 70 | 5.0 | M | No | 16 | Neurological |
IsletCore, University of Alberta | R322 | 90% | 44 | 23.2 | 1.58 | 58 | 4.9 | F | No | 11.5 | Neurological |
Clinical Islet Lab, University of Alberta | H#:2296 | 90% | 52 | 29.2 | 1.82 | 96.8 | 5.2 | F | No | 4.5 | Head trauma (fall) |
2.2. Increased Osmolarity Does Not Alter Insulin Secretion or Islet Viability
To control for osmolarity as a variable, solutions were balanced to ~425 mOsm/L using the sugar alcohol mannitol. Mannitol was used to account for the difference in osmolarity between low and high glucose conditions, and here the effect of mannitol on its own was explored. Mannitol is not metabolized and therefore should not increase intracellular calcium or insulin secretion, although indirect factors such as membrane potential or ion flux might alter insulin secretion [19]. To investigate this possibility, islets were treated for 1 h in modified KRB with 0 mM glucose or 84 mM glucose with and without mannitol balanced to 144 mM. While it is known that various osmotic receptors on beta-cells have been shown to alter insulin secretion [20], as shown in Figure 2A, large increases in osmolarity caused no significant change in insulin secretion, and mannitol alone did not have a stimulatory effect. As expected, islets in each 84 mM glucose group secreted significantly more insulin (p < 0.01) than islets in each glucose-free group, but osmolarity changes due to mannitol did not significantly affect insulin secretion.
Next, we measured cell death using fluorescent microscopy to check for toxicity. Isolated mouse islets treated in standard RPMI, high glucose (144 mM), high osmolarity (144 mM), or a combination of both (84 mM glucose + 60 mM mannitol) for 48 h displayed no significant differences in cell death (propidium iodide) or apoptosis (annexin V) (Figure 2B). Proinflammatory cytokines were used as a positive control to induce beta-cell death. Collectively, these results indicate that substantial increases in osmolarity have no effect on cellular function or viability in mouse islets in these conditions.
2.3. Intracellular Calcium Is Maximally Stimulated in 24 mM Glucose
To determine whether these responses were calcium dependent, mouse islets were loaded with the calcium probe fura-2AM and exposed to increasing stimulation as indicated by the black bars in Figure 3. As expected, a large increase was observed in response to 24 mM glucose stimulation. When the stimulus was increased from 24 to 84 mM glucose, average calcium levels of all islets were not significantly different (Figure 3A). Large increases in glucose above 24 mM do not appear to impact calcium handling. Furthermore, there was no significant difference between calcium levels in the 3 mM and the 3 mM wash (p > 0.05) showing that the extreme glucose did not alter the islet’s ability to control the secretion process.
Tolbutamide, a sulfonylurea known to depolarize beta cells via reduction of potassium permeability, leads to the opening of voltage-dependent calcium channels to subsequently trigger insulin release [21]. As anticipated, there was no significant difference (p > 0.05) between 24 mM and 24 mM combined with 250 µM tolbutamide in terms of intracellular calcium influx (Figure 3B). This supports the observation that intracellular calcium is maximally stimulated in 24 mM glucose.
2.4. Glycolytic Capacity to Secrete Insulin Dose-Dependently Extends above 24 mM Glucose
We next conducted a series of trials to determine what drives increased insulin secretion in high glucose. The following studies were all conducted in 24 mM glucose (regarded as maximal) and 84 mM glucose (regarded as extreme). As shown in Figure 4A, insulin secretion was significantly higher in 84 mM glucose compared to 24 mM glucose after combining all trials (p < 0.001). The averages are reproduced for comparisons made in Figure 4B and Figure 5.
To examine the contribution of glycolytic activity leading to insulin secretion, the glucokinase activator R0-28-1675 (hereafter called GKA) was utilized, and insulin measurements were taken. As shown in Figure 4B, islets treated with GKA in 24 mM glucose displayed a significant increase in insulin secretion compared to islets in 24 mM alone (p < 0.01). Insulin secretion in 84 mM glucose was on par with islets given GKA in 24 mM glucose, but GKA did not provide any additional stimulation in 84 mM glucose. Together, these data indicate that glycolytically driven insulin secretion continues to dose-dependently increase, nearly doubling insulin secretion between 24 and 84 mM glucose.
2.5. The cAMP Pathway Provides Additional Capacity for Insulin Secretion in Extremely High Glucose
cAMP, a known amplifier of insulin secretion, was examined by the use of forskolin, an adenylyl cyclase activator that increases cAMP levels. As shown in Figure 5A, in 24 mM glucose for 1 h, forskolin increased insulin secretion dramatically compared to the control 24 mM glucose (p < 0.001). There was also a significant difference found between 84 mM glucose and 84 mM glucose combined with forskolin (p < 0.001). In addition, the amount of insulin secreted at 84 mM glucose with forskolin was significantly higher than the amount of insulin secreted at 24 mM glucose with forskolin (p < 0.01). Overall, the cAMP pathway has the capacity to dramatically increase insulin secretion, even at extreme glucose concentrations.
MDL-12,330A (MDL), an adenylyl cyclase inhibitor, was used to determine if reducing cAMP by inhibiting adenylyl cyclase could block the additional insulin secretion in extreme hyperglycemic conditions. MDL appeared to partially inhibit insulin secretion in 84 mM glucose. The significantly higher levels of insulin secretion in 84 mM glucose compared to 24 mM glucose were not significant with MDL added to 84 mM glucose (Figure 5B). Importantly, MDL did not reduce insulin secretion in 24 mM glucose compared to 24 mM glucose alone, indicating that the inhibitory effects of MDL on adenylyl cyclase occur only in extremely high glucose conditions when adenylyl cyclase is likely contributing more to overall insulin secretion.
Pancreatic islets were next stimulated with exendin-4, a GLP-1 agonist, to examine the possible contributions of incretin pathways on insulin secretion in extreme glucose conditions. There was a significant increase in insulin secretion with exendin added to 24 mM glucose compared to 24 mM glucose alone (p < 0.05). However, when exendin was tested with 84 mM glucose, there was no significant difference between 84 mM glucose and 84 mM glucose with exendin (Figure 5C). This indicates that insulin secretion, due to incretin effects, continues to increase between 24 mM and 84 mM glucose, revealing possible incretin involvement in the amplification pathway at extreme glucose concentrations.
3. Discussion
3.1. Maximum Glucose Concentrations for Glucose-Stimulated Insulin Secretion Are Much Higher Than Previously Reported
Our study demonstrates a surprisingly high capacity of islets to maintain stimulus-secretion coupling in glucose concentrations far exceeding what is considered normal for both mice and humans. We showed that insulin secretion doubled from 24 mM to 84 mM glucose, while calcium levels were unchanged over the same range. This suggests that insulin secretion occurs through the amplifying pathway, which can contribute 50% or more to insulin secretion when calcium is saturated [22]. In addition, our findings suggest that there is still much to be learned about the mechanisms and limits of the amplifying pathway of glucose-stimulated insulin secretion.
3.2. High Glucose Leads to Increased cAMP via Different Potential Mechanisms
Insulin secretion stimulated by cAMP can be thought of in two independent routes, the secretion that is dependent on calcium changes and that which is stimulated from cellular glucose metabolism [16]. Once cAMP accumulates, intracellular calcium rises through increased L-type-calcium-channel activity [23,24] and through release from intracellular stores [25]. Although cAMP thus has the capacity to increase intracellular calcium, our results reveal that intracellular calcium is already saturated in 24 mM glucose, so any additional stimulation of insulin secretion would likely not involve changes in calcium-dependent pathways. This study demonstrates that extremely high glucose levels can increase insulin secretion independently of the triggering pathway.
It is understood that increased glucose leads to an increase in cAMP [26]. Our data show that glucose continues to dose-dependently increase rates of glycolysis, as shown by a near doubling of insulin secretion between 24 and 84 mM glucose. As shown in Figure 6, the effects of extreme glucose can be reproduced with GKA in 24 mM glucose. This indicates that glycolytically driven metabolite formation is responsible for a large portion of insulin secreted above 24 mM glucose. Additionally, it should be noted that in Figure 6, forskolin and MDL act directly on adenylyl cyclase to alter cAMP levels. Forskolin, which acts to increase adenylyl cyclase, showed a huge potential for stimulating insulin secretion at high glucose concentrations. With that, MDL was able to partially block the insulin released in extremely high glucose conditions. MDL may not have fully reduced the insulin secreted in 84 mM glucose back down to 24 mM levels as expected, since other pathways independent of cAMP are likely working synergistically to amplify insulin secretion. Regardless, there are several ways in which increased glucose metabolism can augment insulin secretion through cAMP that do not require changes in intracellular calcium.
Protein kinase A (PKA) has a permissive role in increasing insulin secretion that has been shown to be glucose dependent [26]. This should be no surprise, since cAMP/PKA pathways have been long explored as targets for potential diabetes therapy [27]. As shown in Figure 6, cAMP activates downstream effectors PKA and guanine-nucleotide exchange protein (EPAC), which both lead to cAMP-mediated insulin secretion [28]. Focusing on the PKA pathway, glutamate derived from glucose through the malate aspartate shuttle is the specific signal underlying insulin secretion after being stimulated via cAMP [12]. It has been shown that the cAMP/PKA pathway potentiates the release of insulin via increased effectiveness of KATP-channel-independent actions of glucose [29], which is consistent with our observations. Intracellular calcium is unaffected by PKA activation, and PKA effects on insulin secretion are mediated by the phosphorylation of various downstream proteins [30]. The mechanisms leading to the rise in insulin secretion are studied with electrophysiological and optical methods which monitor the movements and exocytosis of individual insulin granules [31,32]. Changes in the size of distinct granular pools, facilitation of granule recruitment from the pools to the plasma membrane, and the acceleration of the priming process that confers granules with release competence may all play a role as well as the involvement of SNARE complexes. Relating this back to our study, the PKA pathway stemming from the increase in cAMP ties to the amplification pathway via glucose metabolism and is most likely a key player in insulin release at such high glucose concentrations.
In addition to what we have shown, there are other glucose-associated shunts that lead to insulin secretion through the amplification pathway. Our data suggest that glycolysis itself maintains glucose dependence well above 24 mM glucose. Although, other than direct intermediates of glucose metabolism, there are potential excess-fuel detoxification pathways dealing with glycerol and free fatty acid formation and their extracellular release [32]. Free fatty acids play a role in insulin secretion by stimulating monoacylglycerol formation, whereas the inhibition of monoacylglycerol lipase activity decreases insulin secretion [33]. The aforementioned pathways may include the diversion of glucose carbons to triglycerides and cholesterol esters. Aspects relating to mitochondrial energy metabolism independent signals, including 1-monoglycerol, diacylglycerol, and malonyl-CoA are pieces of the amplification pathway to explore at high glucose levels. [33]. Future studies should investigate glycerol release and free fatty acids in extreme glucose conditions to further understand these intricate pathways.
3.3. Paracrine Effects of Extreme Glucose via Alpha Cells
Increasing glucose levels have been shown to lead to the induction of cAMP oscillations in both alpha and beta cells [34]. The alpha cells in pancreatic islets secrete GLP-1, which generally suppresses glucagon secretion [35]. Glucose-related glucagon secretion is observed in islets and reflects direct effects on alpha cells [29,30]. L-arginine can potently stimulate GLP-1 release in islets, and there is evidence that glucose may potentiate L-arginine-stimulated insulin secretion via PKA [36]. The relationship between glucose and GLP-1R is pivotal to understanding how glucose leads to an increase in cAMP.
It is known that glucose inhibits glucagon secretion by lowering cytoplasmic calcium in the alpha-cell; however, stimulation of glucagon at high glucose concentrations does not require an increase in intracellular calcium, and at higher glucose, glucagon secretion is actually stimulated. This paradoxical stimulation of glucagon release occurs around at least 25–30 mM [30,31]. In fact, high glucose has been shown to have a stimulatory effect on glucagon secretion possibly exceeding that of the inhibitory influence [37,38,39]. Looking at Figure 6, our studies demonstrate the connection of increasing glucose concentrations to increased GLP-1 and increased glucagon secreted by alpha cells. Our study suggests that the increase in incretins and glucagon from the alpha cells at high glucose concentrations could act on the beta cell to augment insulin secretion through the GLP-1 receptor pathway at these extreme levels.
3.4. Clinical Relevance
Diabetic patients have survived extreme glucose levels of over 100 mM [2,4,10]. Our study shows that insulin secretion occurs at extreme glucose levels, but as the concentration of glucose in the blood increases, insulin secretion in the higher glucose range does not keep to the same rate as in lower glucose concentrations, which is evidenced by the decrease in slope (Figure 1). However, this ability of beta cells to secrete insulin in these extremes of hyperglycemia is what distinguishes hyperosmolar hyperglycemic nonketoic syndrome from diabetic ketoacidosis. There is enough insulin present to prevent ketosis but not sufficient insulin to stimulate glucose utilization in target tissues (~10× as much insulin needed) [40]. We also observed that the extreme osmolarity increase associated with extreme hyperglycemia does not appear to negatively impact insulin secretion, at least in our in vitro studies in mouse islets. Thus, although individuals have survived, their bodies endured extreme stress during these instances. It should be noted that glucotoxicity has an effect on limiting the body’s ability to secrete insulin in extreme conditions, but this is considered a more chronic state than what we report.
Overall, we showed that insulin secretion from islets of both mice and human donors continues to increase in a dose-dependent manner to much higher glucose levels than previously thought. It is possible that novel pathways to insulin secretion could be identified only by stimulation in extremely high glucose. Once identified, it may be possible to develop novel therapeutics that could stimulate this secretory activity without requiring extremely high glucose.
3.5. Strengths and Limitations
An important strength of this study was the consistent observation in both murine and human islets in multiple trials which showed that the dose-dependent range of glucose-stimulated insulin secretion extends far higher than commonly thought. We further show that these increases rely on increases in glycolytic activity and cAMP, but not on changes in intracellular calcium. In addition, these studies show that osmolarity does not impact insulin secretion in vitro, which eliminates a potential confounding variable. Limitations in this study include the fact that isolated islets in vitro lack normal neural and humoral inputs found in vivo that can modulate function. Islets also lack the vasculature of their in vivo environment, which can impact how nutrients like glucose reach the islet. These are issues common to any in vitro study of pancreatic islets. Lastly, although our study shows an important role for cAMP in the insulin response to extreme glucose, many other factors of the amplification pathway could also be involved. Examining additional mechanisms will be the focus of future work.
4. Materials and Methods
4.1. Islet Sources and Isolation
Mouse islets were isolated from male CD-1 (Envigo, Indianapolis, IN, USA) mice ages 8–12 weeks, as previously described [41]. Briefly, pancreatic islets were isolated using collagenase-p digestion (Roche Diagnostics, Indianapolis, IN, USA) followed by centrifugation using Histopaque 1100 (Sigma-Aldrich, St. Louis, MO, USA). Islets were allowed to recover overnight in RPMI 1640 (Invitrogen, Carlsbad, CA, USA), supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin before being used for experiments. All animal procedures were approved by the Ohio University Institutional Animal Care and Use Committee. Human islets from deidentified donors were obtained from the University of Alberta IsletCore and the University of Alberta/Alberta Health Services Clinical Islet Laboratory.
4.2. Calcium Imaging
Fura-2 AM fluorescence imaging was utilized to measure intracellular calcium levels. Perifused solutions first passed through an inline heater to a temperature of 35+/−3 degrees Celsius into an open diamond bath imaging chamber (Warner Instruments, Cat: 64-0288) which was mounted using a stage adapter (Warner Instruments, Cat: 64-0298). Observation of islets was performed using a Hamamatsu ORCA-Flash4.0 digital camera (Hamamatsu Photonics K.K., Hamamatsu City, Japan, Model C11440-22CU) mounted on a BX51WIF fluorescence microscope with a 10X objective (Olympus, Tokyo, Japan). Excitation light was provided by a xenon burner supplied to the image field through a light pipe and filter wheel (Sutter Instrument Co., Novato, CA, USA, Model LB-LS/30) with a Lambda 10-3 Optical Controller (Sutter Instrument Co., Novato, CA, USA, Model LB10-3-1572). Images were taken sequentially with 340 nm and 380 nm excitation to produce each ratio from emitted light at 510 nm. Data were analyzed using cellSens Dimension 1.13 imaging software (Olympus, Tokyo, Japan) [42].
Islets were exposed to KRB containing 1 µM fura-2 AM and incubated for 30 min. They then were transferred onto the calcium scope. The fura-2 signal was recorded for two different experimental protocols. Protocol 1: 3 mM glucose (G) for 5 min, 24 G for 15 min, and 84 G for 15 min. Protocol 2: 3 mM glucose (G) for 5 min, 24 G for 15 min, 24 G containing 250 µM tolbutamide for 15 min, and back to 3 G for 25 min.
4.3. Insulin Secretion
To study insulin secretion, glucose-stimulated insulin secretion (GSIS) assays were performed. All GSIS used 12-well plates with 20 islets per well in 1 mL of KRB solution. Islets were size matched to aid in normalization as discussed in [43]. Briefly, islets were placed in 0 mM glucose for one hour, then transferred to the experimental conditions for an additional hour. Supernatants were collected from experimental conditions of 0, 12, 24, 36, 48, 60, 72, 84, and 144 mM. Using the same approach, we studied additional conditions using osmolarity-matched solutions at ~425 mOsm. Osmolarity was measured with Wescor Vapor Pressure Osmometer (Model 5520). Specific stimulators or inhibitors were placed into 24 G and 84 G to examine effects of exendin (10 nM, Sigma Aldrich, St. Louis, MO, USA, [18]), forskolin (10 µM, Sigma Aldrich, St. Louis, MO, USA, [44]), MDL-12330A (10 µM, Sigma Aldrich, St. Louis, MO, USA, [45]), and Ro-28-1675 (500 nM, Axon Medchem (Reston, VA, USA)). Insulin secretion was measured using mouse (Cat#80-INSMSU-E10) and human (Cat#80-INSHU-E01.1) ELISA following the manufacturer’s directions (ALPCO, Salem, NH, USA). Intra-assay variability was kept to below 15% for all studies. D-mannitol (Sigma-Aldrich, St. Louis, MO, USA) was used to balance the osmolarity of Modified KRB solutions to ~425 mOsm.
4.4. Cell Death Quantification
Islets were incubated in a glucose solution for 48 h in standard RPMI media supplemented 10% fetal bovine serum and 1% penicillin/streptomycin. Twenty islets were placed in each well per treatment in a 12-well plate. The 12-well plate contained the following treatments. Standard RPMI media, RPMI media+144 mM mannitol, RPMI media+60 mM glucose+84 mM mannitol, and finally RPMI+144 mM glucose. Cell death was measured with propidium iodide (Sigma-Aldrich, St. Louis, MO, USA) and annexin V (Invitrogen, Carlsbad, CA, USA) staining. Apoptosis was measured using annexin V (488 nm excitation/525 nm emission), which detects phosphatidylserine when it is exposed to the outer leaflet of the plasma membrane during apoptosis [46]. Propidium iodide (535 nm excitation/620 nm emission), which is a cell exclusion dye, was used to detect generalized cell death. Regions of interest were drawn around islets to measure fluorescence intensity per islet for each individual islet normalized to surface area. These techniques have been used in previous publications [47,48] including in comparison to other methods to measure cell death [49].
4.5. Statistical Analysis
Statistical analysis was performed using R Statistical Computing Software. Data are expressed as the mean ± standard error of the mean. Data were tested for normality using Shapiro-Wilk test and for equal variance using Levene’s test. Henze-Zirkler’s multivariate normality test was used for the insulin correlation data. All comparisons were analyzed using two-tailed t-test for comparisons of two groups or one-way ANOVA with Tukey’s post hoc test for more than two groups. Differences between groups were considered significant at p < 0.05. Spearman’s rank correlation coefficient was used to analyze insulin secretion patterns in Figure 1.
4.6. Ethical Approval
All animal procedures were approved by the Ohio University Institutional Animal Care and Use Committee. Human islet isolation was approved by the Human Research Ethics Board at the University of Alberta (Pro00013094). All donors’ families gave informed consent for the use of pancreatic tissue in research. Donor information was deidentified prior to our acquisition.
Acknowledgments
Human islets were provided by the Alberta Islet Distribution Program and by the Alberta Diabetes Institute IsletCore, University of Alberta in Edmonton. Islet isolation was approved by the Human Research Ethics Board at the University of Alberta (Pro00013094). The graphical abstract and Figure 6 were made using BioRender.
Author Contributions
Conceptualization, C.S.N., D.R.R., K.L.C., K.M.G.; methodology, all authors; software, N.B.W., C.S.N.; validation, all authors; formal analysis, K.M.G., C.S.N., N.B.W.; investigation, K.M.G., C.S.N., N.B.W., W.J.K.; resources, K.M.G., C.S.N.; data curation, K.M.G., C.S.N., N.B.W.; writing—original draft preparation, K.M.G., N.B.W.; writing—review and editing, C.S.N., K.M.G., N.B.W.; visualization, K.M.G., N.B.W., C.S.N.; supervision, C.S.N.; project administration, C.S.N.; funding acquisition, C.S.N. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by NIDDK R15 DK121247, the Diabetes Institute, and the Ohio University Heritage College of Osteopathic Medicine.
Institutional Review Board Statement
All animal procedures were approved by the Ohio University Institutional Animal Care and Use Committee. Human islet isolation was approved by the Human Research Ethics Board at the University of Alberta (Pro00013094 and Pro00001620). All donors’ families gave informed consent for the use of pancreatic tissue in research. Donor information was deidentified prior to our acquisition.
Informed Consent Statement
All donors’ families gave informed consent for the use of pancreatic tissue in research.
Data Availability Statement
All data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data used to support the findings of this study are available from the corresponding author upon request.