
The role of pancreatic preproglucagon in glucose homeostasis in mice
Joyce Sorrell
April Haller
Karen Roelofs
Chelsea R Hutch
Ruth Gutierrez-Aguilar
Bailing Li
Daniel J Drucker
David A D’Alessio
Randy J Seeley
Darleen A Sandoval
Corresponding Author and Lead Contact: Darleen Sandoval:darleens@umich.edu
Issue date 2017 Apr 4.
Summary
Glucagon-like peptide 1 (GLP-1) is necessary for normal gluco-regulation, and it has been widely presumed that this function reflects the actions of GLP-1 released from enteroendocrine L-cells. To test the relative importance of intestinal vs. pancreatic sources of GLP-1 for physiological regulation of glucose, we administered a GLP-1R antagonist, exendin 9–39 (Ex9), to mice with tissue-specific reactivation of the preproglucagon gene (Gcg). Ex9 impaired glucose tolerance in wild-type mice but had no impact on Gcg null or GLP-1R KO mice suggesting that Ex9 is a true and specific GLP-1R antagonist. Unexpectedly, Ex-9 had no effect on blood glucose in mice with restoration of intestinalGcg. In contrast, pancreatic reactivation of Gcg fully restored the effect of Ex9 to impair both oral and IP glucose tolerance. These findings suggest an alternative model whereby islet GLP-1 also plays an important role in regulating glucose homeostasis.
Keywords: GLP-1, incretin, glucose homeostasis
eTOC
GLP-1 is necessary for normal gluco-regulation, and it has been widely presumed that this function is the action of peptide released from enteroendocrine L-cells. The data from Chambers et al. challenge this dogma and find that intestinally produced GLP-1 is dispensable while pancreatic production of GLP-1 is necessary for gluco-regulation.
Introduction
The continued pharmaceutical investment in development of GLP-1 secretagogues as potential therapies for metabolic disease is based on the generally accepted physiological model that GLP-1 is an incretin; i.e. a factor secreted from the intestine that acts in an endocrine fashion on β-cell GLP-1 receptors (GLP-1R) to stimulate insulin secretion. Despite wide-spread belief in this model, there are many observations that raise questions about the metabolic importance of gut-derived GLP-1. GLP-1 is rapidly metabolized by dipeptidyl peptidase-4 (DPP4), a serine protease widely distributed in the vasculature and circulation that limits the circulatory half-life of GLP-1 to 1–2 min (Meier et al., 2004). Indeed, data demonstrate that 67% of GLP-1 secreted from the pig intestine is already degraded to inactive GLP-1 by DPP4, within the intestinal mucosal capillaries (Hansen et al., 1999). These data raise doubts about whether intestinally-derived GLP-1 circulates at concentrations sufficient to activate receptors on target tissues.
We have recently demonstrated that β-cell specific GLP-1R deletion impairs glycemic control in response to IP glucose, a setting where the gut does not secrete GLP-1 (Smith et al., 2014), which begs the question of the source of ligand for β-cell GLP-1R in these studies. However, these data are consistent with data from humans and in isolated islets where the GLP-1R antagonist exendin-[9–39] (Ex9) impairs basal and glucose-stimulated insulin secretion at low or absent plasma GLP-1 concentrations (Masur et al., 2005;Salehi et al., 2010;Schirra et al., 1998). While similar findings have been used to suggest that Ex9 is an inverse agonist (Serre et al., 1998), this finding has been reported only in a single cell line.
There is now evidence that bioactive GLP-1 is produced in the islet, and that α-cell production is increased in settings of β-cell damage, metabolic demand, and inflammation (Donath and Burcelin, 2013;Whalley et al., 2011). However, it is not clear whether islet GLP-1 has a physiological role in regulating glucose under normal feeding or fasting conditions.
Despite these caveats, the concept that intestinal GLP-1 acts as a hormone to regulate insulin secretion persists. Part of this persistence has been the limitation of the tools available to probe the GLP-1 system, specifically in regards to assessing the relative roles of the various pools of GLP-1. Herein, we describe a new mouse model that allows manipulation of the preproglucagon gene (Gcg; and hence GLP-1 production) in a tissue-specific fashion. GLP-1R blockade in these animals permitted determination of relative glucose regulation by GLP-1 produced within the intestine or pancreas.
Results
Gcg loss-of-function
We inserted a constitutive stop signal flanked by loxP sites in the proximal portion ofGcg to prevent gene transcription (GcgRAΔNull;Figure 1A–B). Intestinal, pancreatic, and brainstemGcg expression was nearly undetectable in GcgRAΔNull vs. WT littermates (Figure 1C). GcgRAΔNull mice had similar body mass, but lower proportions of fat and higher proportions of lean mass compared to WT mice (Supplemental Figure 1A–B). Consistent with other models in which glucagon signaling is abolished (Gelling et al., 2009;Hayashi et al., 2009), the glucose response to a mixed meal gavage (200 μl of Ensure® nutrient shake) was lower in chow-fed GcgRAΔNull vs. WT mice even when animals were weight-matched between genotypes (Figure 1D). However, the improved glucose response was not due to differences in insulin sensitivity as clamped glycemia, glucose infusion rates (Supplementary Figure 1C–D), basal and insulin regulated hepatic glucose production and glucose clearance were all similar between chow-fed GcgRAΔNull and WT mice during a hyperinsulinemic-euglycemic clamp (Figure 1E–F). In addition, plasma glucose and insulin increased to a similar extent in response to an IV glucose load in GcgRAΔNull vs. WT mice (Fig 1G–H). GcgRAΔNull mice also had increased pancreatic mass, and α-cell hyperplasia similar to what has been previously reported in glucagon receptor KO mice (Gelling et al., 2003) (Supplemental Figure 1D–E). Together these data demonstrate that our newly generated GcgRAΔNull exhibits features previously reported in models that lack glucagon signaling with lower than normal glucose responses to a mixed nutrient load and increases in pancreatic mass, but differs in not having enhanced insulin secretion.
Figure 1. Targeting construct and glucose phenotype of GcgRAΔNull mice.
A&B. A Lox P flanked transcriptional blocking cassette consisting of a splice acceptor (SA), an internal ribosomal entry site (IRES), and a green fluorescent protein (GFP) with a poly-A signal (pA) and was inserted into the intron between exons 2 and 3 of theGcg gene. In the absence of Cre recombinase, expression of the targeted allele is suppressed generating a null allele.C.Gcg gene expression relative to GAPDH was nearly undetectable in GcgRAΔNull vs. WT mice (n=4M-WT and 6M-GcgRAΔNull).D. Glucose response to Ensure® (200μl) was significantly lower at 15 and 30min after the gavage in GcgRAΔNull vs. WT mice (n=4F;6M/genotype).E. Endogenous glucose production (EGP) during baseline and during the final 30min of a hyperinsulinemic euglycemic clamp (n=6M/genotype) was similar in WT and GcgRAΔNull (main effect of time; p<0.05).F. Glucose clearance was similar in WT and GcgRAΔNull at baseline and during the final 30 minutes of the hyperinsulinemic euglycemic clamp (main effect of time; p<0.05).G. Glucose andH. insulin response to an IV glucose load (0.5 g/kg) were similar between WT and GcgRAΔNull (n=8M-WT; 7M- GcgRAΔNull). *p<0.01 vs. GcgRAΔNull. Significance in C was determined using a One-way ANOVA. Signifcance in D–H was determine using a Two-way Anova for genotype and time. Data is represented as mean±SEM.
Gut-specific reactivation of the Gcg gene
We next assessed the effect of intestinalGcg reactivation, and thus gut production of GLP-1, on glucose tolerance. GcgRAΔNull mice were crossed with mice that express Cre recombinase in villus and crypt epithelial cells of the small and large intestine (Villin-1 Cre; elMarjou et al., 2004).Figure 2A demonstrates thatGcg expression was not significantly different from controls in the jejunum, ileum, or colon in male and female offspring, hereafter termed GcgRAΔvilcre mice. In addition, these mice did not expressGcg in the pancreas or brainstem confirming gut specific-reactivation. Although levels ofGcg expression in the duodenum were only 50% of control values, tissue (duodenum and ileum) protein and glucose-stimulated plasma levels of active GLP-1 were not significantly different between Vil Cre and GcgRAΔvilcre mice (Figure 2B–C). Consistent with our initial observations,Gcg gene expression and tissue GLP-1 levels were nearly undetectable in GcgRAΔNull mice (Figure 2A–C) and pancreatic glucagon was undetectable in both GcgRAΔNull mice and GcgRAΔvilcre mice (Figure 2D). Because intestinal contribution to plasma glucagon has been reported in pancreatectomy patients, we also measured plasma glucagon responses to hypoglycaemia in WT vs. GcgRAΔvilcre mice. We found plasma glucagon in response to insulin-induced hypoglycaemia remained undetectable in GcgRAΔvilcre mice (Figure 2E).
Figure 2. Validation and glucose phenotype of mice with intestinal reactivation of endogenousGcg.
A.Gcg expression was significantly greater in Vil Cre vs. GcgRAΔvilcre in the duodenum but similar in the jejunum, ileum, and colon.Gcg expression was undetectable in the GcgRAΔvilcre in the pancreas and hindbrain and in all tissues in the GcgRAΔNull mice (n=7F;5M/genotype).B. Tissue GLP-1 levels were not significantly different in the duodenum and ileum in Vil Cre vs. GcgRAΔvilcre and were undetectable in the pancreas of GcgRAΔvilcre and in all tissues of the GcgRAΔNull mice (n=9M/genotype).C. Circulating levels of active GLP-1 15 min after a glucose (3 g/kg) gavage was similar between Vil Cre and GcgRAΔvilcre mice and undetectable in GcgRAΔNull (n=7F;5M/genotype).D. Pancreatic protein levels of glucagon were undetectable in GcgRAΔNull and GcgRAΔVilCre mice (n=10M; Vil Cre & GcgRAΔNull; 9M GcgRAΔVilCre).E. Plasma glucagon levels 15min after 1U/kg of insulin were undetectable in GcgRAΔvilcre (n=8 GcgRAΔVilCre and n=10 Vil Cre mice).F. Oral glucose tolerance (2g/kg) was significantly lower at 15, 30 and 45 min in both GcgRAΔNull and GcgRAΔVilCre mice vs. WT mice (n=10M; Vil Cre & GcgRAΔNull; 9M GcgRAΔVilCre).G. IP glucose tolerance (2g/kg) was not significantly different between GcgRAΔNull, GcgRAΔVilCre, and WT mice (n=10M; Vil Cre & GcgRAΔNull; 9M GcgRAΔVilCre). *p<0.01 GcgRAΔNull vs. Vil Cre and GcgRAΔVilCre; **p<0.05 Vil Cre vs. GcgRAΔVilCre;+ p<0.01 Vil Cre vs. GcgRAΔNull and GcgRAΔVilCre.H–K. Ex9 (50ug) impaired oral (H–I) and IP (J–K) glucose tolerance over saline (100μl) in WT and Vil Cre vs. GcgRAΔNull and GcgRAΔVilCre, respectively (n=15M; WT and GcgRAΔNull/drug treatment; 15M; Vil Cre and GcgRAΔVilCre/drug treatment). *p<0.05 in WT or Vil Cre vs. all other groups; +p<0.05 Vil Cre Ex9 vs. saline. Significance in A–E was determined using a One-way ANOVA for genotype. Significance in F–G was determine using a Two-way ANOVA for genotype and time. Significance in H–K was determined using a three-way ANOVA for genotype, drug and time. Data is represented as mean±SEM.
Glucagon receptor KO mice have lower glycemic excursions in response to both oral and IP glucose, but this occurs in the setting of elevated islet and plasma GLP-1(Gelling et al., 2003). To determine if reactivation of intestinalGcg, which normalized meal-induced increases in plasma GLP-1, would also improve IP glucose tolerance, we performed an oral and IPGTT with identical doses of glucose over 1 week in a cross-over design. In contrast to the results in glucagon receptor KOs, the blood glucose profiles were only lower during the oral, but not during the IPGTT in GcgRAΔNull and GcgRAΔvilcre compared to Vil Cre mice (Figure 2F–G). These data suggest that lack of glucagon has a potent influence on postprandial glucose regulation, and restoration of intestinal GLP-1 production does not affect glucose homeostasis beyond this.
To directly test the physiologic importance of intestinal GLP-1 on glucose tolerance, we administered the GLP-1R antagonist Ex9, during oral and IPGTTs. Importantly, while Ex9 caused glucose intolerance in control mice, there was no effect of Ex9 on blood glucose in the GcgRAΔnull mice, regardless of route of glucose administration (Figure 2H&J). These data demonstrate thatin vivo, Ex9 lacks inverse agonist properties and instead acts as a pure GLP-1R antagonist. As a demonstration of an absolute requirement for the canonical GLP-1R, Ex9 had no impact on oral or IP glucose tolerance in GLP-1R KO mice (Supplementary Figure 2A–B). Given the specificity and pure GLP-1R antagonism of Ex9, it was very surprising that Ex9 failed to impair either oral or IP glucose tolerance (Figure 2I&K) even with normalized postprandial GLP-1 levels in the GcgRAΔVil Cre mice.
Pancreas-specific reactivation of the Gcg gene
α-cell production of GLP-1 is thought to play a role in pancreatic function only under conditions of high metabolic demand and/or inflammation (Donath and Burcelin, 2013). To determine whether α-cell production of GLP-1 plays a physiological role in glucose regulation, and given the fact that Ex9 had no effect on glucose tolerance in mice with restoration ofGcg in the intestine, we next restored pancreatic expression ofGcg (GcgRAΔPDX1Cre) by crossing our GcgRAΔNull mice with mice that express Cre recombinase under the control of the mouse pancreatic duodenal homebox promoter (PDX1).
Pancreatic, but not hindbrain or ilealGcg expression was restored in the Gcg RAΔPDX1Cre mice (Figure 3A). As PDX1 is also expressed in the duodenum, we also observed some restoration ofGcg expression in the duodenum (Figure 3A). Confirming pancreatic reactivation, plasma glucagon responses to insulin-induced hypoglycemia were restored and, in fact, were significantly greater than in control mice (Figure 3B). In addition, glucose-induced increases in circulating total GLP-1 were approximately 50% of control values in Gcg RAΔPDX1Cre (Figure 3C).
Figure 3. Validation and glucose phenotype of mice with pancreatic reactivation of endogenousGcg.
A.Gcg expression was significantly greater in PDXcre control vs. GcgRAΔPDX1Cre mice in the ileum and hindbrain, was not different in the duodenum, and was significantly lower in the pancreas compared to the GcgRAΔPDX1Cre mice. GcgRAΔNull had undetectableGcg expression across all tissues. n=10M/genotype.B. Plasma glucagon levels 15 min after IP insulin (1U/kg) were similar between control and GcgRAΔPDX1Cre mice and were below detection limits in all GcgRAΔNull mice (GcgRAΔNull and PDX1Cre, n=6M; GcgRAΔPDX1Cre, n=8M).C. Plasma GLP-1 levels 15min after a glucose (3g/kg) gavage (GcgRAΔNull and PDX1Cre, n=10M; GcgRAΔPDX1Cre, n=7M).D. Oral (2g/kg) glucose tolerance in GcgRAΔNull, PDX1Cre, and GcgRAΔPDX1cre mice (n=13M/genotype).E. IP (2g/kg) glucose tolerance in GcgRAΔNull vs. PDX1Cre and GcgRAΔPDX1cre mice (n=10M/genotype). Oral (F.) and IP (G.) glucose tolerance in response to saline or Ex9 (50ug; n=7M/genotype).H. IP glucose tolerance in response to chronic (21d) infusion of saline or Ex9 (50 μg/day; n=11M/genotype). *p<0.05 PDX1Cre vs. GcgRAΔNull and GcgRAΔPDX1Cre mice; +p<0.05 PDX1Cre vs. GcgRAΔNull; **p<0.05 GcgRAΔPDX1Cre vs. GcgRAΔNull; #p<0.05 GcgRAΔPDX1Cre Ex9 vs. saline; @p<0.05 Ex9 vs. Sal in PDX1Cre and GcgRAΔPDX1Cre groups. Significance in A–C was determined using a One-way ANOVA for genotype. Significance in D–E was determine using a Two-way ANOVA for genotype and time. Significance in F-H was determined using a three-way ANOVA for genotype, drug and time. Data is represented as mean±SEM.
The glycemic responses to oral and IP glucose were similar to controls in the Gcg RAΔPDX1Cre mice and both of these lines had significantly higher oral glucose excursions than GcgRAΔNull mice (Figure 3D–E). In contrast to the GcgRAΔVilCre mice, treatment with Ex9 impaired both oral and IP glucose tolerance in control and GcgRAΔPDX1Cre groups relative to saline-treatment (Figure 3F–G). These data suggest thatGcg expression and GLP-1 synthesis within the pancreas is necessary for the normal regulation of glucose. To further confirm these results, we implanted a mini-osmotic pump into these mice and found that 30d treatment of Ex9, at a dose that had no significant effect on body or fat mass (Supplementary Figure 3), impaired glucose tolerance in control and GcgRAΔPDX1Cre mice but had no effect in GcgRAΔNull mice (Figure 3H).
Role of extra-pancreatic GLP-1R
Our data suggest that the pancreatic source of GLP-1 is necessary for glucose regulation. Previous work, including our own, has suggested that brain GLP-1R are important for glucoregulation. Because plasma GLP-1 levels were also significantly increased, we tested the hypothesis that this source of GLP-1 could activate CNS GLP-1R and regulate glucose levels. We found that Ex9 impaired both oral and IP glucose tolerance equally in GLP-1R f/f controls and both whole brain (GLP-1RKDΔNestin) and hypothalamic (GLP-1RKDΔNkx2.1) GLP-1R KO animals (Figure 4A–D). These findings indicate that the effect of Ex9 to cause glucose intolerance is not mediated in the CNS.
Figure 4. Role of extra-pancreatic GLP-1R.
A–D. Ex9 (50ug) impaired oral (A&C) and IP (B&D) glucose tolerance over saline (100μl) in GLP-1R f/f vs. GLP-1RKDΔNestin and GLP-1RKDΔNkx2.1, respectively (n=7M; GLP-1R f/f and GLP-1RKDΔNestin/drug treatment; n=10M; GLP-1R f/f and GLP-1RKDΔNkx2.1/drug treatment). *p<0.05 in Ex9 vs. Saline within a both genotypes; +p<0.05 Ex9 vs. saline within GLP1R f/f only. Significance in A–D was determined using a three-way ANOVA for genotype, drug and time. Data is represented as mean±SEM.
Discussion
The successful targeting of the GLP-1 system for treatment of type 2 diabetes mellitus (T2DM) underscores the critical role GLP-1 plays in regulating glucose homeostasis. GLP-1-focused therapeutics have been conceptualized based on the conventional incretin model whereby peptides made in the gut act as hormones to control insulin secretion and glucose tolerance. In this context, GLP-1R agonists achieve what would be a 10-fold increase in GLP-1 secreted from the gut into the circulation, while DPP-4 inhibitors that protect circulating endogenous GLP-1 and create a 2-fold increase in plasma GLP-1 (Drucker and Nauck, 2006). However, our findings here challenge an independent role for endocrine action of GLP-1 on insulin secretion. Using a novel mouse model we observed that animals that expressGcg only the intestine and have normal amounts of plasma GLP-1 are only minimally affected by GLP-1R antagonism regardless of how the glucose was administered. In contrast, mice with primarily pancreaticGcg expression were subject to the full effect of Ex9 to cause glucose intolerance. These findings supporting a physiological role for islet GLP-1 in glucose regulation, and are the first direct demonstration that pancreatic GLP-1 is involved in physiological glucose regulation.
The phenotype of the GcgRAΔNull animal is noteworthy and shares some key elements with other murine models of deficient glucagon signaling (Gelling et al., 2003;Hayashi et al., 2009). Similar to another line ofGcg null mice (Hayashi et al., 2009) or animals with a glucagon receptor deletion (Ali et al., 2011;Gelling et al., 2003), our mice, devoid of measurableGcg-derived peptides, had improved oral glucose tolerance compared to chow-fed control mice; findings consistent with known glucagon physiology. However, mice with deletion of the glucagon receptor have lower glucose excursions in response to both oral and IP glucose challenges, which occurs in the setting of a massive increase in pancreatic GLP-1. Instead, the GcgRAΔNull and GcgRAΔVilCre mice, that were devoid of both glucagon and pancreatic GLP-1, had a nearly identical glucose phenotype to a glucagon receptor/GLP-1R double knockout mouse (Ali et al., 2011), with improved oral but normal IP glucose tolerance comparable to WT controls. Thus, the absence of augmented pancreatic GLP-1 signaling, such as occurs in the glucagon receptor KO, is the likely explanation for the absence of supernormal IP glucose tolerance in both the GcgRAΔNull and GcgRAΔVilCre mice.
Our GcgRAΔNull mouse does differ from a previous Gcg KO which also had enhanced insulin secretion (Hayashi et al., 2009). While we cannot readily account for this difference, except perhaps by variation in strain and age of the animals, physiologic actions of glucagon on insulin secretion are not as well established as its cardinal effects on hepatic glucose production. The centrality of this effect is apparent with pancreatic reactivation ofGcg where production of islet glucagon causes glucose tolerance to revert to a pattern similar to WT mice.
One important caveat to our current data is that the PDX-1 Cre promoter that we used to reactivate pancreaticGcg is also expressed in the duodenum, and indeed,Gcg gene expression was normalized in the duodenum while nutrient-induced increases in GLP-1 were about 50% of control values. Although proximal L-cells likely have more direct contact with the nutrient chyme that is thought to stimulate GLP-1 release, the great preponderance of intestinalGcg is expressed in the lower gut. The contribution of the upper gut to postprandial GLP-1 levels has been reported to be significantly less than lower GI sources (Hira et al., 2009). Likewise, we believe that the duodenal activation ofGcg in the GcgRAΔPDX1Cre does not make an important contribution to glucose regulation in these animals. The key example here is the Gcg RAΔVilCre mice in whichGcg was reactivated across the whole intestine, including the L-cell rich jejunum and ileum, yet glucose tolerance did not differ from GcgRAΔNull mice and Ex9 had no effect on these mice. In stark contrast, the pancreatic RA animals had fasting and post-challenge glycemia that did not differ from controls and was significantly different from theGcg null line. Moreover, Ex9 worsened glucose tolerance when mice expressed GLP-1 in the pancreas and duodenum, whereas it had no effect in mice with only intestinal GLP-1. The contrast between the two reactivation models provides convincing evidence that it is islet GLP-1 that is the key source necessary for regulating glucose homeostasis.
Our previous research demonstrated that β-cell GLP-1Rs were necessary for normal glucose clearance during an IP challenge, a setting where plasma GLP-1 concentrations are low and unchanging (Smith et al., 2014). These data, together with our current data that neural or hypothalamic GLP-1R are not necessary for the effect of Ex-9, suggest that the β-cell GLP-1R is necessary for glucose homeostasis and is dependent onGcg peptides being produced in the islet. Studies in isolated islets from humans and mice reveal that all the necessary cellular machinery to synthesize and secrete GLP-1 resides within α-cells (Whalley et al., 2011). Based on these results, we hypothesize a paracrine model whereby GLP-1 secreted from α-cells acts on GLP-1R on neighbouring cells to regulate insulin secretion, a concept consistent with a number of previous studies (Kahles et al., 2014;Kilimnik et al., 2010;Whalley et al., 2011). The prospect that GLP-1 signaling operates in great part through paracrine fashion at the level of the islet makes intuitive sense. Indeed, since there is evidence that 67% of GLP-1 secreted from the pig intestine is rendered inactive by the time it reaches the portal vein, and > greater than 90% by the time it passes the liver (Hansen et al., 1999), it is unclear how much stimulation to β-cell GLP-1R is provided through the circulation. Moreover, it seems likely that levels of intact GLP-1 achieved in the islet interstitium are sufficient to potentiate glucose stimulated insulin secretion (Shigeto et al., 2015). Until now the evidence for a paracrine model has been limited toin vitro systems for which the physiologic relevance is unclear. Our data provide the firstin vivo evidence that GLP-1 produced in the islet may have direct paracrine effects on β-cells to regulate glucose homeostasis. However, given that plasma GLP-1 was detectable in the pancreatic reactivated animals, this source of plasma GLP-1 could have extrapancreatic effects as well.
One important limitation of these data is the extent to which they reflect species differences in GLP-1 biology. Critical evidence for the endocrine model of GLP-1 comes from using pharmacological tools in humans (Edwards et al., 1999;Salehi et al., 2012;Schirra et al., 2006). While our current mouse studies allowed us to very specifically manipulate the GLP-1 system, they cannot account for the possibility that the paracrine action of GLP-1 is more important in mice than it is humans. GLP-1 is found in the pancreas of humans, and the islet architecture in humans (α-cells are dispersed throughout rather than around the perimeter in humans vs. mice) may even favor a paracrine role for GLP-1 in the islet (Marchetti et al., 2012;Whalley et al., 2011). Nevertheless, it is the case that there are species differences for the GLP-1 system even between mice and rats (Lachey et al., 2005), and therefore more research is needed to confirm the relative role of pancreatic vs. intestinal GLP-1 in regulating glucose homeostasis in humans.
In conclusion, our data demonstrate an underappreciated role for pancreatic GLP-1 in glucose regulation. Using a novel genetic mouse model, our findings demonstrate that GLP-1 produced in the pancreas, almost surely in the α-cell, can also be important for insulin secretion and normal glucose tolerance. These findings in mice raise questions about current conceptions of the sole role for entero-insular signaling in regulating glucose homeostasis. Better understanding of the actions of endogenous GLP-1 will be helpful to deploy the current GLP-1-based therapies in a more effective way and in identifying new, more targeted, therapeutic strategies that harness the GLP-1 system.
CONTACT FOR REAGENT AND RESOURCE SHARING
Further information and requests for resources and reagents should be directed to and following an approved MTA between University of Michigan and the receiving institution will be fulfilled by the Lead Contact, Darleen Sandoval (darleens@med.umich.edu.
EXPERIMENTAL MODEL AND SUBJECT DETAILS
Animals
Male and female mice on a primarily C57BL6/J background were singly housed and maintained on a 12-hour light/dark cycle with ad libitum access to chow diet (Harlan Teklad no. 7012). Studies were conducted in animals 8–20 weeks of age and included age- and sex-matched littermate control mice. All procedures were approved by either the University of Cincinnati or University of Michigan Institutional Animal Care and Use Committee. All animals included in the data analysis did not display any health impairments. The numbers of animals studied per genotype are indicated within each experiment, however the minimal number of animals was 6/genotype in the IVGTT and hyperglycemic-euglycemic clamp studies.
METHOD DETAILS
Genetic mouse generation
A conditional GcgRAΔNull mouse was generated by introducing a transcriptional blocking cassette into the intron between exons 2 and 3 of theGcg gene (Figure 1A). Flanking this blocking cassette wereloxP sites recognized by cre-recombinase. To generate these mice, theGcg targeting vector (University of Cincinnati Gene Targeting and Transgenic Mouse Models Core) which consisted of a splice acceptor (SA), an internal ribosomal entry site (IRES) with green fluorescent protein (GFP), a poly-A signal (pA), the selection marker, neo, and loxP sites flanking this cassette, was inserted into the intron between exons 2 and 3 (Figure 1A). This vector was then electroporated into 129 ES and positiveGcg ES clones, identified by Southern blotting, were injected into blastocysts to generate chimera by the ES core at the University of Cincinnati. Germline transmission was verified in agouti mice, and the neomycin resistance cassette was removed by breeding then these mice Flp-recombinase mice (Jackson Laboratory, stock number 003800; C57BL/6). Offspring were then bred to C57BL/6 mice to remove theFlp gene and generate breeding pairs for studies. The GLP-1R floxed animals were generated similarly except thatloxP sites flanking exons 6 and 7 or theGLP1R gene were inserted (Smith et al., 2014; Wilson-Pérez et al., 2013). The whole body GLP-1R KO mice were provided by Dr. Dan Drucker and were generated by isolating the mouseGLP1R gene and using homologous recombination in mouse embryonic stem cells to generate a null mutation in both alleles (Scrocchi et al., 1996).
Mice with intestinal or pancreatic reactivation of the endogenousGcg gene were generated by crossing GcgRAΔNull mice with villin 1-Cre (Jax Laboratories, stock number 004586) and PDX1-Cre (Jax Laboratories, stock number 014647) mice, respectively, to produce mice with Cre-specific reactivation of theGcg gene, GcgRAΔNull, and Cre littermate controls. The GLP-1R f/f mice were crossed to nestin Cre (Jax Laboratories, stock number 003771) and Nkx2.1 Cre (Jax Laboratories, stock number 0086611) promoter mice to delete the GLP-1R from the CNS and hypothalamus, respectively. See the Key Resources Table for all mouse lines utilized for this manuscript.
Mouse validation
To validate proper gene targeting, mice were sacrificed by CO2 asphyxiation and tissues (hindbrain, duodenum, jejunum, ileum, colon, and pancreas) were rapidly removed and frozen. Tissue was homogenized in Trizol reagent and tissue RNA was extracted using a Pure Link RNA mini kit (Invitrogen, Carlsbad, CA). cDNA was isolated (iScript cDNA synthesis kit, BioRad, Hercules, CA), and real-time quantitative PCR (qPCR) was performed using a TaqMan 7900 Sequence Detection System with TaqMan Universal PCR Master Mix and TaqMan Gene Expression Assays (all from Applied Biosystems, Foster City, CA) or with the BioRad CFX 96 Touch RT PCR detection system with Sso Advanced Universal Probes supermix and iTaq Universal probes supermix (BioRad, Hercules, CA). Relative mRNA expression for theGcg (Mm01269055_m1, Therma Scientific, Waltham, MA) was calculated relative to L32 using the ΔΔCT method.
Tissue and protein levels of GLP-1 and glucagon were also measured to validate appropriate ablation or reactivation of gene function. Ileal and pancreatic tissue was homogenized in T-Per Protein Extraction Reagent (Thermo Scientific, Waltham, MA) with protease/phosphatase inhibitors and a DPP4 inhibitor. Total protein was quantified using a BCA protein assay kit (Thermo Scientific, Waltham, MA).
Plasma GLP-1 was measured 10 minutes after a gavage of 25% dextrose (3g/kg), CO2 asphyxiation, and cardiac puncture. Plasma glucagon response was measured 15 minutes after an IP injection of insulin (1U/kg), CO2 asphyxiation, and cardiac puncture. In both cases, blood was collected in heparinized syringes and placed into a tube with a mixture of heparin, EDTA, and aprotonin. Plasma levels of total and active GLP-1 and glucagon in protein-extracted tissue were measured using sandwich ELISA kits (Mesoscale Discovery, Rockville, MD, USA).
Glucose tolerance tests
For all glucose tolerance tests, mice were fasted for 4h after the onset of the light phase. For the IP and oral glucose tolerance tests, blood was taken via tail nick. Basal blood glucose was sampled at -15min, and glucose administered as an oral gavage or by IP injection at a dose of 2mg/kg of 25% dextrose or Ensure® (200μl) was administered via oral gavage. Blood samples were taken at 15, 30, 45, 60, and 120 min after glucose administration.
On another occasion, oral or IP glucose tolerance tests (100μl of 20% dextrose) were performed 15-min after an IP injection of Ex9 (50μg/100μl) or vehicle control and blood was sampled as described above.
IVGTT
Catheters were placed in the left common carotid artery for sampling and right jugular vein for infusions under isoflurane anesthesia in GcgRAΔNull and WT littermate controls (n=6M/genotype). The catheters were tunneled under the skin to the back of the neck and attached via stainless steel connectors to tubing made of Micro-Renathane (0.033 OD); the tubing was externalized and sealed with stainless steel plugs. Lines were filled with saline containing 200 units/ml heparin and 5 mg/ml ampicillin. Body mass was recorded daily and animals were studied once body mass was within 10% of their presurgery weight (~5d). Animals not reaching this weight were excluded from the study.
One the day of the study, mice were fasted and moved to the procedure room 4h prior to the IVGTT. Approximately 30-min after lines were lengthened for ease of access and patency was verified, all animals received an intravenous bolus of 20% dextrose (0.5 mg/kg). Blood samples for glucose and insulin were taken at baseline, at 1, 2, 5, 10, 12, 16, 20, and 30 min after glucose administration.
Hyperinsulinemic euglycemic clamp
For this experiment, 8-week old GcgRAΔNull and WT (n=6M/genotype) littermate controls had catheters placed as described for the IVGTT. A hyperglycemic euglycemic clamp with HPLC purified [3–3H]glucose and a continuous infusion of human insulin (2.5 mU/kg/min; Humulin R; Eli Lilly, Indianapolis, IN) was performed as described previously (Ayala et al., 2006). Specific activity for individual time points did not vary by >15% from the average specific activity during the last 40 min of the clamp, and the slope of specific activity over time was not significantly different from zero.
Mini-Osmotic Pump Study
Body weight-matched mice within a genotype (PDX1 Cre, GcgRAΔNull, and GcgRAΔPDX1Cre) had a 30d subcutaneous mini-osmotic pump (Alzet Osmotic Pumps, Cupertino, CA) filled with saline or Ex9 implanted under isoflurane anesthesia. An IPGTT was performed on treatment day 21 as described above.
For all studies above, glucose tolerance tests with and without Ex9 were replicated for data that will be used in publication elsewhere. Animals were placed in groups based on genotype and within each genotype were weight matched between drug and vehicle administrations. Due to the necessity of ensuring the proper drug and glucose dosage administration, no formal blinding was performed in any of these studies. Animals were only excluded from a study if there were apparent and noted experimental mistakes made with drug dosage, injections, with the assay procedures or if the data point in question was greater than 3 standard deviations from the mean of the group.
QUANTIFICATION AND STATISTICAL ANALYSIS
Statistical analysis
The statistical procedures used are indicated in the figure legends. Briefly, normally distributed data were analysed utilizing standard parametric statistics including ANOVA’s and t-tests where applicable. Both male (M) and female (F) mice were used based on availability from the breeding cohorts. For experiments requiring surgery, males were used to avoid the potential surgical complications of doing surgeries in the smaller age-matched females. Statistical analysis were performed using either GraphPad Prism v.6.02 or Statistica v.13 for Windows. Data are expressed as mean ± SEM, and statistical significance was accepted when p<0.05.
KEY RESOURCES TABLE
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Guinea pig anti-insulin | Abcam | Ab7842 |
Rabbit anti-glucagon | Millipore | AB932 |
Rabbit anti-GFP | Abcam | Ab6556 |
Bacterial and Virus Strains | ||
Biological Samples | ||
Chemical Reagents, Peptides, and Recombinant Proteins | ||
Exendin-[9–39] | Sigma-Aldrich | 133514-43-9 |
DPP4 inhibitor | EMD Millipore | DPP4-010 |
[3–3H]-glucose | Perkin Elmer | NET331C250UC |
Critical Commercial Assays | ||
Total GLP-1 | Mesoscale Discovery | K150JVC-1 |
Active GLP-1 | Mesoscale Discovery | K150HYC-4 |
Glucagon | Mesoscale Discovery | K150HCC-1 |
Pure Link RNA mini kit | ThermoFisher Scientific | 12183025 |
iScript cDNA synthesis kit | BioRad | 170-8891 |
Taqman University PCR Master Mix | Applied Biosystems | 4304437 |
Taqman gene expression assays | Applied Biosystems | 433182 |
BCA protein assay kit | ThermoFisher Scientific | 23225 |
Deposited Data | ||
Experimental Models: Cell Lines | ||
Experimental Models: Organisms/Strains | ||
B6;SJL-Tg(ACTFLPe)9205Dym/J | The Jackson Laboratory | 003800 |
B6.Cg-Tg(Vil1-cre)997Gum/J | The Jackson Laboratory | 004586 |
B6.FVB-Tg(Pdx1-cre)6Tuv/J | The Jackson Laboratory | 014647 |
B6.Cg-Tg(Nes-cre)1Kln/J | The Jackson Laboratory | 003771 |
C57BL/6J-Tg(Nkx2-1-cre)2Sand/J | The Jackson Laboratory | 0086611 |
Oligonucleotides | ||
Gcg primer | ThermoFisher Scientific | Mm0129055_m1 |
RPL32 primer | ThermoFisher Scientific | Mm 02528467_g1 |
Recombinant DNA | ||
Gcg targeting vector | UC Gene Targeting and Mouse Models Core | N/A |
Software and Algorithms | ||
Other |
Supplementary Material
Highlights.
Intestinally-secreted GLP-1 is presumed to regulate glucose via incretin action.
Exendin-9 does not alter glucose in mice that only produce GLP-1 in the intestine.
Exendin-9 does impair glucose in mice that only produce GLP-1 in the pancreas.
Alternative to the incretin model, islet GLP-1 is crucial for gluco-regulation.
Acknowledgments
We thank Jack Magrisso for his technical support on this manuscript. This work is supported in part by NIH Awards, DK082480 (DAS), and DK093848 (RJS). The investigators also receives research support from Boehringer Ingelheim (DAS, RJS), Ethicon Endo-Surgery Inc. (DAS, RJS), Sanofi (RJS), and Novo Nordisk A/S (DAS, RJS). DJD is supported in part by operating grants from the CIHR 123391/136942 and the Canada Research Chairs program and a Banting and Best Diabetes Centre Novo Nordisk Chair in Incretin Biology.
Footnotes
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Competing Interests
DJD has served as an advisor or consultant to Arisaph Pharmaceuticals, Intarcia, Merck Research Laboratories, Novo Nordisk, and Receptors Inc and receives research funding from GSK, Merck, Novo Nordisk, and Sanofi Inc. RJS has received research support from Ethicon Endo-Surgery, Novo Nordisk, Sanofi, and Janssen. RJS has served on scientific advisory boards for, Ethicon Endo-Surgery, Daiichi Sankyo, Janssen, Novartis, Nestle, Takeda, Boehringer-Ingelheim, Sanofi, and Novo Nordisk. RJS is also a paid speaker for Ethicon Endo-Surgery. DAS has received research support from Ethicon Endo-Surgery, Novo Nordisk, and Boehringer Ingelheim.
Author’s contributions
AC, RGA, JES, AH, BL, KR, CH, and KSK were responsible for executing experiments. AC, DD, RJS, and DAS were responsible for planning experiments. AC, DJD, RJS, and DAS were responsible for interpretation of data, and drafting of the manuscript. DAS provided final approval of the submitted manuscript.
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