Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • Resource and Technical Advances
    • Clinical Medicine
    • Reviews
    • Editorials
    • Perspectives
    • Top read articles
  • JCI This Month
    • Current issue
    • Past issues

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Concise Communication
  • Editorials
  • Viewpoint
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
Top
  • View PDF
  • Download citation information
  • Send a comment
  • Share this article
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal
  • Top
  • Abstract
  • Introduction
  • Results
  • Discussion
  • Methods
  • Author contributions
  • Supplemental material
  • Acknowledgments
  • Footnotes
  • References
  • Version history
  • Article usage
  • Citations to this article
Advertisement

Research ArticleMetabolism Open Access | 10.1172/jci.insight.152852

Gq signaling in α cells is critical for maintaining euglycemia

Liu Liu,1 Diptadip Dattaroy,1 Katherine F. Simpson,1 Luiz F. Barella,1 Yinghong Cui,1 Yan Xiong,2 Jian Jin,2 Gabriele M. König,3 Evi Kostenis,3 Jefferey C. Roman,4 Klaus H. Kaestner,4 Nicolai M. Doliba,4 and Jürgen Wess1

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Liu, L. in: JCI | PubMed | Google Scholar

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Dattaroy, D. in: JCI | PubMed | Google Scholar

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Simpson, K. in: JCI | PubMed | Google Scholar

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Barella, L. in: JCI | PubMed | Google Scholar |

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Cui, Y. in: JCI | PubMed | Google Scholar

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Xiong, Y. in: JCI | PubMed | Google Scholar

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Jin, J. in: JCI | PubMed | Google Scholar |

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by König, G. in: JCI | PubMed | Google Scholar

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Kostenis, E. in: JCI | PubMed | Google Scholar

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Roman, J. in: JCI | PubMed | Google Scholar

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Kaestner, K. in: JCI | PubMed | Google Scholar |

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Doliba, N. in: JCI | PubMed | Google Scholar |

1Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA.

2Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences and Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

3Institute of Pharmaceutical Biology, University of Bonn, Bonn, Germany.

4Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Find articles by Wess, J. in: JCI | PubMed | Google Scholar

Published November 9, 2021 - More info

Published in Volume 6, Issue 24 on December 22, 2021
JCI Insight. 2021;6(24):e152852. https://doi.org/10.1172/jci.insight.152852.
© 2021 Liu et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published November 9, 2021 - Version history
Received: July 1, 2021; Accepted: November 4, 2021
View PDF
Abstract

Glucagon, a hormone released from pancreatic α cells, plays a key role in maintaining euglycemia. New insights into the signaling pathways that control glucagon secretion may stimulate the development of novel therapeutic agents. In this study, we investigated the potential regulation of α cell function by G proteins of the Gq family. The use of a chemogenetic strategy allowed us to selectively activate Gq signaling in mouse α cells in vitro and in vivo. Acute stimulation of α cell Gq signaling led to elevated plasma glucagon levels, accompanied by increased insulin release and improved glucose tolerance. Moreover, chronic activation of this pathway greatly improved glucose tolerance in obese mice. We also identified an endogenous Gq-coupled receptor (vasopressin 1b receptor; V1bR) that was enriched in mouse and human α cells. Agonist-induced activation of the V1bR strongly stimulated glucagon release in a Gq-dependent fashion. In vivo studies indicated that V1bR-mediated glucagon release played a key role in the counterregulatory hyperglucagonemia under hypoglycemic and glucopenic conditions. These data indicate that α cell Gq signaling represents an important regulator of glucagon secretion, resulting in multiple beneficial metabolic effects. Thus, drugs that target α cell–enriched Gq-coupled receptors may prove useful to restore euglycemia in various pathophysiological conditions.

Graphical Abstract
graphical abstract
Introduction

Glucagon is a metabolically important polypeptide hormone that is secreted from α cells of the pancreatic islets of Langerhans (1–5). During times of fasting, circulating glucagon increases blood glucose levels primarily by activating hepatic glucagon receptors, resulting in enhanced hepatic glucose output (1–5). Previous work has demonstrated that α cell dysfunction contributes to impaired glucose homeostasis in both type 1 diabetes and type 2 diabetes (T2D) (1, 3, 5, 6). A better understanding of α cell physiology and pathophysiology may lead to the development of novel drugs designed to improve α cell function for therapeutic purposes.

During the past few years, a series of important new findings have greatly stimulated research in the glucagon/α cell field. Several groups reported that glucagon released from α cells can promote the secretion of insulin from adjacent β cells in a paracrine fashion (7–10). Additional work suggested that this paracrine glucagon effect is mediated primarily by glucagon activation of β cell glucagon-like peptide 1 (GLP-1) receptors (7, 8). A more recent study clearly demonstrated that glucagon acts as an insulinotropic hormone in the fed state, enhancing rather than opposing the ability of insulin to maintain euglycemia (11). In line with these recent findings, agents that can simultaneously activate GLP-1 and glucagon receptors (so-called dual agonists) are currently undergoing clinical trials as potential novel drugs for the treatment of T2D and related metabolic disorders (12, 13).

The neurotransmitters, hormones, paracrine factors, and neuronal pathways that regulate β cell function have been explored in considerable detail. In contrast, much less is known about the factors, receptors, and signaling pathways and molecules that affect the function of pancreatic α cells (10). However, such knowledge may lead to novel approaches to modulate α cell function for therapeutic purposes.

Like virtually all other cell types, pancreatic α cells express a large number of G protein–coupled receptors (GPCRs) (14). GPCRs represent excellent drug targets, as indicated by the fact that about 35% of all FDA-approved drugs act on this class of receptors (15). Following the binding of extracellular ligands, GPCRs activate distinct functional classes of heterotrimeric G proteins (16, 17). Heterotrimeric G proteins are subdivided into 4 major subfamilies, Gs, Gi/o, Gq/11, and G12/13 (16), primarily due to the signaling properties of the G protein α subunits. Previous studies have shown that activation of α cell Gi signaling strongly suppresses glucagon release (5, 7, 14), resulting in pronounced changes in glucose homeostasis. On the other hand, relatively little is known about the in vivo metabolic roles of α cell Gs, Gq/11, or G12/13 signaling.

The present study was designed to elucidate the in vivo metabolic changes caused by selective stimulation of α cell Gq signaling. Specifically, we employed a chemogenetic approach to generate a potentially new mouse model that expresses a Gq-coupled designer GPCR (Gq DREADD; Gq-coupled designer receptor exclusively activated by a designer drug; alternative names: hM3Dq or simply GqD) (18, 19) selectively in α cells (α-GqD mice). Treatment of α-GqD mice with clozapine-N-oxide (CNO) (18, 20) or deschloroclozapine (DCZ), a more potent and metabolically more stable CNO derivative (21), leads to the selective stimulation of the GqD designer receptor. When used in the proper dose or concentration range, CNO and DCZ are otherwise pharmacologically inert (18, 19, 21). Metabolic studies with α-GqD mice showed that activation of α cell Gq signaling led to a robust increase in glucagon and insulin secretion in vitro and in vivo. Importantly, we demonstrated that chronic activation of this pathway greatly improved glucose homeostasis in obese, glucose-intolerant mice.

Prompted by these findings, we identified an endogenous Gq-coupled receptor, the vasopressin 1b receptor (V1bR), that is preferentially expressed in α cells of both mouse and human pancreatic islets. Perifusion studies with mouse and human islets, including the use of V1bR-deficient mouse islets, clearly demonstrated that V1bR activation caused pronounced increases in glucagon release. Additional in vivo studies showed that V1bR-mediated stimulation of glucagon secretion plays an important role in the counterregulatory hyperglucagonemia triggered by insulin-induced hypoglycemia or glucopenic conditions (deficiency of intracellular glucose). Taken together, these potentially novel findings provide a rational basis for the development of new classes of clinically useful drugs able to selectively stimulate α cell Gq signaling under various pathophysiological conditions.

Results

Generation of mice expressing the GqD designer receptor selectively in pancreatic α cells. In order to selectively stimulate Gq signaling in mouse α cells in vivo, we used a chemogenetic approach. Specifically, we expressed a Gq-coupled DREADD (18) selectively in α cells of adult mice (α-GqD mice). We crossed mice harboring the GqD allele preceded by a loxP-STOP-loxP (LSL) sequence (CAG-LSL-GqD mice) (22) with Gcg-CreERT2 mice (23). Following tamoxifen (TMX) treatment, Cre activity caused GqD expression in pancreatic α cells and endocrine L cells. Due to their relatively fast turnover, Cre-modified L cells have been shown to be replaced by wild-type (WT) L cells 4 weeks after TMX treatment (23). Four weeks after the last TMX injection, the mice expressed GqD selectively in α cells (hereafter referred to as α-GqD mice). TMX-injected CAG-LSL-GqD mice that did not carry the Gcg-CreERT2 transgene and did not express the GqD receptor were used as control animals throughout the study.

To confirm that the GqD receptor was selectively expressed in α cells of α-GqD mice, we carried out immunofluorescence studies using pancreatic sections from α-GqD and control mice. The GqD receptor was detected by using an antibody directed against the N-terminal HA tag fused to the N-terminus of GqD (22). Studies with pancreatic sections from α-GqD mice demonstrated that GqD was expressed by glucagon-expressing α cells but was undetectable in β cells and other cell types that did not express glucagon (Figure 1A). As shown in Figure 1A, essentially all glucagon-positive islet cells expressed the GqD receptor. We found that 97.5% of α cells expressed the GqD designer receptor. As expected, no GqD signal was detected in pancreatic sections prepared from control mice (Figure 1A). Immunoblotting studies confirmed that GqD expression was restricted to pancreatic islets when tissues were collected 4 weeks after the last TMX injection (Figure 1B). Importantly, no GqD expression was detected in the small intestine and colon, which contain proglucagon-producing L cells.

Selective expression of the GqD designer receptor in mouse pancreatic α celFigure 1

Selective expression of the GqD designer receptor in mouse pancreatic α cells. (A) Immunofluorescence staining of pancreatic slices from α-GqD mice and control littermates. The GqD receptor, which carried an HA epitope tag at its N-terminus (22), was detected with an anti-HA antibody (Alexa Fluor, green). Pancreatic α cells were stained with an anti-glucagon antibody (Alexa Fluor, red), and β cells were visualized with an anti-insulin antibody (Alexa Fluor, red). Nuclei were stained blue with DAPI mounting medium. (B) Western blot indicating that GqD expression is restricted to pancreatic islets of α-GqD mice. Cell lysates were prepared from the indicated tissues of α-GqD mice (+Cre) and control littermates (-Cre). Fat samples were prepared from epididymal white adipose tissue. Use of an anti-HA antibody showed that the GqD receptor was expressed only in pancreatic islets from α-GqD mice (band size: ~120 kDa). A nonspecific band (size ~50 kDa) band was observed in all lanes. Likewise, a nonspecific band was detectable with hypothalamic extracts prepared from both α-GqD and control mice (band size: ~110 kDa).

Acute stimulation of α cell Gq signaling enhances glucagon secretion in vivo. α-GqD mice and their control littermates (males) did not show any differences in body weight (Supplemental Figure 1A; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.152852DS1). We first investigated whether DCZ (GqD agonist) (21) treatment of α-GqD mice was able to modulate glucagon release in vivo. In the absence of DCZ, α-GqD and control mice showed comparable plasma glucagon, plasma insulin, and blood glucose levels under both fed and fasting conditions (Figure 2, time 0). Treatment of α-GqD mice with a single dose of DCZ (10 μg/kg i.p.) caused a pronounced increase in plasma glucagon levels in both freely fed and fasted mice throughout the 30-minute observation period, as compared with control littermates (Figure 2, A and E). During this period, plasma insulin levels were also selectively elevated in DCZ-treated α-GqD mice (Figure 2, B and F). DCZ treatment of control mice resulted in a small increase in blood glucose levels, most likely due to the injection stress (Figure 2, C and G). This modest hyperglycemic effect was significantly reduced in DCZ-treated α-GqD mice (Figure 2, C and G), most likely due to the increase in plasma insulin levels caused by α cell Gq activation. This effect was not observed when α-GqD and control mice were injected with vehicle (saline) (Figure 2, D and H).

Acute activation of α cell Gq signaling stimulates glucagon and insulin secFigure 2

Acute activation of α cell Gq signaling stimulates glucagon and insulin secretion in vivo. α-GqD mice and control littermates (males) received a single i.p. dose of DCZ (10 μg/kg) (A–C and E–G) or vehicle (saline) (D and H), followed by the measurement of plasma glucagon (A and E), plasma insulin (B and F), and blood glucose levels (C, D, G, and H) under fed or fasting (~14-hour overnight fast) conditions. Blood samples were collected from the tail vein at the indicated time points. Data are given as mean ± SEM (α-GqD: n = 7; control: n = 8). *P ≤ 0.05 and **P ≤ 0.01 (mixed effects repeated measures ANOVA for after injection differences).

Acute DCZ (10 μg/kg i.p.) treatment of α-GqD or control mice had little or no effect on the plasma levels of the 2 major incretin hormones, GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) (Supplemental Figure 1).

We also studied plasma hormone levels in female α-GqD and control mice. As observed with their corresponding male counterparts, acute DCZ (10 μg/kg i.p.) treatment of female α-GqD mice led to a striking elevation of plasma glucagon levels in both fed and fasted mice (Supplemental Figure 2). This response was associated with a significant increase in plasma insulin levels and improved glucose tolerance (Supplemental Figure 2). Following coinjection (i.p.) of DCZ and insulin, female α-GqD mice and control littermates showed similar insulin tolerance (Supplemental Figure 2). These observations indicate that the in vivo metabolic changes caused by activation of α cell Gq signaling are sex independent.

Acute activation of α cell Gq signaling improves glucose tolerance. We next subjected α-GqD mice and their control littermates (males) to an i.p. glucose tolerance test (GTT) (Figure 3). Injection of α-GqD mice and control littermates with glucose alone (2 g/kg i.p.) caused similar increases in blood glucose levels (Figure 3A). In contrast, i.p. coinjection of α-GqD mice with a mixture of glucose (2 g/kg) and DCZ (10 μg/kg) resulted in a significant improvement in glucose tolerance, as compared with control littermates coinjected in a similar fashion (Figure 3B). During the GTT, we also monitored changes in plasma glucagon and insulin levels. We found that coinjection of α-GqD mice with glucose and DCZ triggered very pronounced increases in both plasma glucagon and insulin levels (Figure 3, C and D). These data suggest that the improved glucose tolerance displayed by the coinjected α-GqD mice is most likely caused by increased insulin secretion following activation of α cell Gq signaling.

Acute stimulation of α cell Gq signaling improves glucose homeostasis.Figure 3

Acute stimulation of α cell Gq signaling improves glucose homeostasis. Metabolic studies were carried out with α-GqD mice and control littermates. (A and B) Glucose tolerance tests (GTT). Mice that had been fasted overnight were injected with glucose (2 g/kg i.p.), either in the absence (A) or presence (B) of DCZ (10 μg/kg i.p.). (C and D) Plasma glucagon (C) and plasma insulin (D) levels following coinjection of mice with glucose (2 g/kg i.p.) and DCZ (10 μg/kg i.p.) after fasting for 14 hours. (E and F) Insulin tolerance test (ITT). Mice that had been fasted 4 hours were injected with insulin (0.75 U/kg i.p.), either in the absence (E) or presence (F) of DCZ (10 μg/kg i.p.). (G and H) Plasma glucagon (G) and plasma insulin (H) levels following coinjection of mice with insulin (0.75 U/kg i.p.) and DCZ (10 μg/kg i.p.) after fasting for 4 hours. Blood samples were collected from the tail vein at the indicated time points. All experiments were carried out with male littermates (age: 16–20 weeks). Data are given as mean ± SEM (α-GqD: n = 8; control: n = 7). *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001 (mixed effects repeated measures ANOVA for after injection differences).

An ITT showed that treatment of α-GqD mice and control mice with insulin alone (0.75 U/kg i.p.) caused comparable decreases in blood glucose levels (Figure 3E). Strikingly, coinjection of insulin (0.75 U/kg i.p.) with DCZ (10 μg/kg i.p.) resulted in a significant increase in insulin sensitivity at later time points (60 and 90 minutes postinjection) (Figure 3F). As observed in the GTT experiments, coinjection of α-GqD mice with insulin and DCZ resulted in greatly increased plasma glucagon and insulin levels, as compared with control mice coinjected in the same fashion (Figure 3, G and H). Recent work suggests that glucagon release from pancreatic α cells is required for efficient release of insulin from β cells when glucose concentrations are high (7–9, 11). On the basis of these studies, it is likely that enhanced insulin secretion caused by activation of α cell Gq signaling is responsible for the improved glucose homeostasis displayed by the DCZ-treated α-GqD mice.

Studies with perifused pancreatic islets prepared from α-GqD mice. To confirm that the in vivo metabolic changes observed with α-GqD mice were indeed due to altered Gq signaling in pancreatic α cells, we carried out a series of perifusion experiments using pancreatic islets prepared from α-GqD mice (α-GqD islets) and control littermates (control islets). The addition of DCZ (10 nM) had little or no effect on glucagon and insulin secretion from control islets (Figure 4, A and B) (glucose concentration: 3 mM). In contrast, under the same experimental conditions, DCZ treatment of α-GqD islets led to pronounced, biphasic increases of both glucagon and insulin secretion (Figure 4, C and D). Incubation of α-GqD islets with FR900359 (UBO-QIC; 0.5 μM), a selective Gq inhibitor (24), completely blocked the stimulatory effects of DCZ on glucagon and insulin secretion (Figure 4, C and D), confirming that the GqD-mediated effects on hormone secretion were indeed mediated by Gq-type proteins. Taken together, the hormone release data obtained with α-GqD islets are in very good agreement with the in vivo metabolic phenotypes displayed by DCZ-treated α-GqD mice (Figures 2 and 3).

Activation of α cell Gq signaling stimulates glucagon and insulin secretionFigure 4

Activation of α cell Gq signaling stimulates glucagon and insulin secretion in isolated islets. (A–D) Perifused pancreatic islets prepared from control mice (A and B) or α-GqD littermates (C and D) were perifused with 3 mM glucose and DCZ (10 nM), either in the absence or presence of UBO-QIC (Gq inhibitor; 0.5 μM). Mouse islets were prepared from 16- to 20-week-old male and female mice. Data are given as mean ± SEM (4–6 perifusions with 75–100 islets per perifusion chamber).

It should also be noted that UBO-QIC treatment lowered glucagon secretion below baseline levels in both control and α-GqD islets (Figure 4, A and C). This observation suggests that Gq-type G proteins are tonically active in mouse α cells, thus contributing to proper basal glucagon release.

Chronic activation of α cell Gq signaling improves glucose homeostasis in obese mice. To test the potential translational relevance of the metabolic improvements observed after activation of α cell Gq signaling, we maintained α-GqD and control littermates on a high-fat diet (HFD) for at least 6 weeks. This calorie-rich diet is known to cause obesity, glucose intolerance, and several other metabolic changes that are key features of human T2D (25). To examine the effects of chronic activation of α cell Gq signaling on glucose homeostasis, all mice received daily injections of DCZ (10 μg/kg i.p.) for at least 7 days (26). Studies with other α cell–specific DREADD mouse strains showed that DCZ (10 μg/kg i.p.) affects glucagon release for at least 4–6 hours (LL, unpublished observations). HFD α-GqD mice and control littermates did not show any differences in body weight or food intake during the DCZ injection period (Supplemental Figure 3, A and B). However, daily DCZ treatment of α-GqD mice, but not of control littermates, resulted in significantly increased plasma glucagon and insulin levels under both fed and fasted conditions throughout the entire DCZ administration period (Supplemental Figure 4, A, B, D, and E). On day 1, DCZ injection led to elevated blood glucose levels in α-GqD mice, but not in control littermates, measured 1 hour after drug injection (Supplemental Figure 4C). After 7 days of DCZ treatment, glucose levels were similar between the 2 groups of mice (Supplemental Figure 4, C and F). For this reason, we performed all metabolic studies after 7 days of DCZ treatment.

After 1 week of DCZ treatment, all mice were subjected to an i.p. GTT. We found that α-GqD mice displayed a significant improvement in glucose tolerance, as compared with control littermates (Figure 5A). Prior to glucose administration (1 g/kg i.p.), plasma glucagon and insulin levels were significantly higher in the DCZ-treated α-GqD mice than in the DCZ-treated control animals (Figure 5, B and C). Plasma glucagon and insulin levels remained significantly elevated following glucose injection (Figure 5, B and C). These data indicate that chronic activation of α cell Gq signaling improves glucose homeostasis in obese, glucose-intolerant mice.

Chronic activation of α cell Gq signaling improves glucose homeostasis in oFigure 5

Chronic activation of α cell Gq signaling improves glucose homeostasis in obese α-GqD mice. α-GqD mice and control littermates were maintained on a high-fat diet for at least 6 weeks. Metabolic studies were carried out with mice that had received daily injections of DCZ (10 μg/kg i.p.) for 27 days. (A) Glucose tolerance test carried out with overnight-fasted mice. Glucose was administered (1 g glucose/kg i.p.) 1 hour after the last DCZ injection. (B and C) Plasma glucagon (B) and insulin (C) levels of fasted mice prior to (time 0) and 15 minutes after glucose injection (1 g/kg i.p.). (D) Glucose tolerance test (see A for details) carried out with mice injected with exendin(9-39) (Ex-9, 50 mg/mouse) or vehicle (saline) prior to glucose treatment. The panel to the right shows area under the curve (AUC) for each mouse (arbitrary units). (E) Pyruvate tolerance test (PTT) (1 g/kg i.p.) performed with overnight-fasted mice. (F) Glucagon challenge test (100 μg/kg i.p.) carried out with mice fasted for 6 hours. All experiments were carried out with male littermates that were about 35 weeks old. Data are given as mean ± SEM (α-GqD: n = 8–11; control: n = 5–10). *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001 (mixed effects repeated measures ANOVA for after injection differences).

An insulin tolerance test showed that HFD α-GqD mice and control littermates chronically treated with DCZ did not differ in insulin sensitivity (Supplemental Figure 3C). To test the hypothesis that elevated insulin levels caused by glucagon activation of β cell GLP-1 receptors (7–9, 11) are responsible for the improved glucose tolerance observed with HFD α-GqD mice chronically treated with DCZ, we injected HFD α-GqD mice and control littermates with the selective GLP-1 receptor antagonist exendin(9-39) (Ex-9; 50 μg/mouse) (27, 28), prior to glucose administration. Following Ex-9 treatment, HFD α-GqD mice continued to show improved glucose tolerance (Figure 5D), suggesting that the beneficial metabolic effects caused by chronic activation of α cell Gq signaling were not due to glucagon-induced activation of β cell GLP-1 receptors. Interestingly, in a pyruvate challenge test, DCZ-treated HFD α-GqD mice showed significantly reduced blood glucose excursions, as compared with their HFD control littermates (Figure 5E), indicative of reduced hepatic in vivo gluconeogenesis. In agreement with these results, the ability of a glucagon bolus (100 μg/kg i.p.) to trigger hyperglycemia (glucagon challenge test) was completely abolished in DCZ-treated HFD α-GqD mice (Figure 5F). These observations strongly suggest that chronic elevation of plasma glucagon levels due to enhanced α cell Gq signaling resulted in hepatic glucagon resistance, providing an explanation for the improved glucose tolerance displayed by the DCZ-treated HFD α-GqD mice.

Liver weight, hepatic triglyceride content, and hepatic glucagon receptor expression levels did not differ significantly between the 2 groups of mice (Supplemental Figure 3, D–F). Taken together, these findings suggest that the glucagon resistance displayed by DCZ-treated HFD α-GqD mice may result from hepatic glucagon receptor desensitization.

Gq-coupled receptors endogenously expressed by α cells stimulate glucagon secretion in mouse and human islets. The metabolic phenotypes DCZ-treated α-GqD mice displayed suggested that Gq-coupled receptors endogenously expressed by α cells might regulate glucagon release in a similar fashion. To identify such receptors, we took advantage of published single-cell RNA-Seq (scRNA-Seq) data from human and mouse islets (human islets: Gene Expression Omnibus [GEO] GSE81608; mouse islets: GEO GSE80673) (29, 30). Based on this information, we compiled a list of Gq-coupled receptors that are expressed at relatively high levels in mouse and/or human α cells (Supplemental Figure 5). Interestingly, the V1bR (V1bR or Avpr1b) is preferentially expressed by α cells in both mouse and human islets. To detect V1bR expression in mouse islets, we crossed Avpr1b-Cre knockin mice (31) with a mouse line that expresses the tdTomato reporter protein in a Cre-dependent fashion (see Supplemental Figure 6 for details). In agreement with the gene expression data, immunofluorescence staining of mouse islets showed that the V1bR subtype was selectively expressed by mouse α cells (Supplemental Figure 6). Virtually all glucagon-positive cells expressed V1bR (Supplemental Figure 6).

To investigate the ability of α cell V1bRs to promote glucagon secretion, we treated perifused WT islets with a selective V1bR agonist (d[Leu4,Lys8]-VP; 1 nM) (32). As expected, addition of the V1bR agonist led to a robust, biphasic increase in glucagon secretion (glucose concentration: 3 mM) (Figure 6A), a pattern similar to that observed with DCZ-treated α-GqD islets. This stimulatory effect on glucagon secretion was also observed when glucose levels were raised to 12 mM (Figure 6B). The V1bR agonist–induced increase in glucagon release was prevented by treatment of WT islets with a selective V1bR antagonist (SSR149415; 1 μM) (33), confirming the involvement of V1bR in this response (Figure 6, A and B). Likewise, inhibition of Gq signaling by UBO-QIC (0.5 μM) also abolished the ability of the V1bR agonist to promote glucagon release from WT islets (Figure 6, A and B). Finally, d[Leu4, Lys8]-VP (1 nM) treatment of islets derived from mice lacking functional V1bRs (Avpr1b-Cre+/+ knockin mice; alternative name: V1bR-KO mice) (31) had no effect on glucagon release (Figure 6, A and B). Taken together, these data clearly indicate that activation of islet (α cell) V1bRs promotes glucagon release via activation of Gq-type G proteins.

Activation of the V1bR subtype stimulates glucagon secretion in mouse and hFigure 6

Activation of the V1bR subtype stimulates glucagon secretion in mouse and human islets. (A and B) Studies with perifused mouse islets. Mouse islets were prepared from male mice (age: 12–20 weeks). Islets from WT mice were perifused with 3 mM glucose (G3) (A) or 12 mM glucose (G12) (B) in the presence of 1 nM d[Leu4, Lys8]-VP (V1bR-selective agonist) (A and B). The stimulatory effect of d[Leu4, Lys8]-VP on glucagon secretion was blocked by 1 μM SSR149415 (V1bR antagonist) (A and B). The d[Leu4, Lys8]-VP–induced glucagon responses were abolished in the presence of 0.5 μM UBO-QIC, a selective Gq inhibitor (A and B). Moreover, d[Leu4, Lys8]-VP (1 nM) treatment of islets derived from mice lacking functional V1bRs (Avpr1b-Cre+/+ knockin mice; alternative name: V1bR-KO mice) had no effect on glucagon release (A and B). (C) Studies with human islets. Islets from human donors were perifused with physiological amino acid mixture (AAM) and G3 or 16.7 mM of glucose (G16.7), respectively, in the presence of d[Leu4, Lys8]-VP (V1bR agonist; 1 nM). The stimulatory effect of d[Leu4, Lys8]-VP on glucagon secretion was blocked by SSR149415 (50 nM) or by UBO-QIC (1 μM). Data are given as mean ± SEM (3–6 perifusions with 75–100 islets per perifusion chamber per group).

We next carried out glucagon secretion studies using islets from human donors. In agreement with the data obtained with mouse islets, d[Leu4,Lys8]-VP (1 nM; V1bR agonist) stimulated the secretion of glucagon from human islets in a Gq-dependent manner (Figure 6C). The glucagon response to d[Leu4,Lys8]-VP was absent in the presence of SSR149415 (50 nM; V1bR antagonist) (Figure 6C). These data strongly support the concept that stimulation of the V1bR subtype expressed by human α cells stimulates the release of glucagon.

d[Leu4,Lys8]-VP was able to promote insulin release in some but not all human islet preparations. As a result, d[Leu4,Lys8]-VP–mediated increases in glucose-stimulated insulin secretion failed to reach statistical significance (Supplemental Figure 7).

Possible explanations for this data scatter are that the different islet batches were collected under somewhat different conditions or that the health status of the islet donors affected the outcome of the insulin secretion studies.

V1bRs contribute to hypoglycemia/glucopenia-induced glucagon release in vivo. We next examined whether V1bR-mediated glucagon release from mouse α cells is of physiological relevance under in vivo conditions. Specifically, we injected WT mice with d[Leu4,Lys8]-VP (0.3 μg/kg; V1bR agonist) via the tail vein (32). The V1bR agonist stimulated glucagon secretion at an early time point (10 minutes) but not at later postinjection times (Figure 7A), probably due to the limited metabolic stability of this peptide agonist (note that the parent compound arginine vasopressin, AVP, has a plasma half-life of only 15–20 minutes). However, the V1bR agonist had little or no effect on blood glucose and plasma insulin levels (Supplemental Figure 8, A and B), perhaps due to enhanced V1bR activity in other peripheral tissues (34).

V1bRs contribute to hypoglycemia/glucopenia-induced glucagon release in vivFigure 7

V1bRs contribute to hypoglycemia/glucopenia-induced glucagon release in vivo. (A) V1bR-mediated increase in glucagon release in vivo. WT mice received a single dose of d[Leu4, Lys8]-VP (V1bR agonist; 0.3 μg/kg i.v.), followed by the measurement of plasma glucagon levels. (B) Increases in plasma AVP levels evoked by insulin and 2-deoxy-d-glucose (2-DG). WT mice were injected i.p. with saline, insulin (0.75 U/kg), or 2-DG (500 mg/kg). Plasma AVP levels were measured immediately before and 30 minutes after injections. Data are presented as plasma AVP levels relative to preinjection values. (C and D) Hypoglycemia/glucopenia-induced glucagon release is inhibited by a V1bR antagonist. WT mice were injected i.p. with either vehicle or SSR149415 (25 mg/kg), a selective V1bR antagonist. Thirty minutes later, the mice were treated i.p. with either insulin (1.25 U/kg) (C) or 2-DG (500 mg/kg) (D). Plasma glucagon levels were determined immediately prior to or 30 minutes after insulin or 2-DG treatment. Male mice (age: 8–12 weeks) were used for this study. Data are given as mean ± SEM (n = 6 or 7 mice per group). *P ≤ 0.05 and ***P ≤ 0.001 (mixed effects repeated measures ANOVA for after injection differences).

It is well-known that the plasma levels of AVP, the endogenous V1bR agonist, are regulated by circulating blood glucose levels. Preclinical and clinical studies have shown that insulin-induced hypoglycemia leads to increased plasma AVP levels (35–38). As expected, treatment of WT mice with insulin (0.75 U/kg i.p.) caused a significant increase in plasma AVP levels (Figure 7B).

To explore whether endogenous AVP/V1bR signaling contributed to hypoglycemia-induced glucagon secretion, we injected WT mice with a selective V1bR antagonist (SSR149415; 25 mg/kg, i.p.) (33) 30 minutes prior to insulin administration. SSR149415 treatment abolished insulin-induced glucagon secretion (Figure 7C), showing that intact AVP/V1bR signaling is required for efficient glucagon release following insulin-induced hypoglycemia. SSR149415 treatment had no significant effect on the magnitude of the hypoglycemic effect caused by insulin administration (Supplemental Figure 8C). One possible explanation for this observation is that the insulin injection resulted in supraphysiological insulin levels that masked the hyperglycemic effect predicted to occur after V1bR-induced glucagon secretion.

The glucose analog, 2-DG, a competitive inhibitor of the production of glucose-6-phosphate from glucose, interferes with glucose metabolism, resulting in intracellular glucopenia in the brain and other tissues (39–42). Previous studies have shown that 2-DG treatment of human volunteers or rodents leads to elevated AVP levels (43, 44) and a counterregulatory stimulation of glucagon secretion (40, 42). We therefore examined whether endogenous AVP/V1bR signaling contributes to 2-DG–evoked increases in glucagon secretion. Strikingly, 2-DG (500 mg/kg, i.p.) treatment of WT mice resulted in a pronounced increase in both plasma AVP and plasma glucagon levels (Figure 7, B and D). The 2-DG–evoked elevation in plasma glucagon levels was greatly reduced after pretreatment of WT mice with SSR149415 (V1bR antagonist, 25 mg/kg, i.p.; Figure 7D).

Taken together, these data clearly indicate that endogenous AVP/V1bR signaling makes a critical contribution to the increase in glucagon secretion following hypoglycemic and glucopenic conditions.

Discussion

Recent advances in the glucagon/α cell field have led to renewed interest in the role of glucagon as a key regulator of glucose homeostasis. Several recent in vitro and in vivo studies demonstrated that glucagon release from α cells can act in a paracrine fashion to promote insulin release from β cells and that this activity is required for maintaining euglycemia in animal models (7–11). In line with these observations, dual agonists that stimulate both GLP-1 and glucagon receptors are currently under development for the therapy of T2D and related metabolic disorders (12, 13).

Since GPCRs represent excellent drug targets (15), a better understanding of how α cell function and glucagon release are regulated by distinct GPCR/G protein signaling pathways is of considerable potential translational relevance. Like other cell types, including pancreatic β cells (14, 45), α cells express many GPCRs that are linked to the activation of Gq-type G proteins (Gq/G11) (14). To explore the in vivo metabolic consequences of selectively activating Gq signaling in α cells, we generated mice that expressed a Gq-coupled designer GPCR selectively in α cells (α-GqD mice) (Figure 1).

Strikingly, acute treatment of α-GqD mice with DCZ, a CNO derivative with increased potency at DREADD designer receptors (21), resulted in elevated plasma glucagon levels that were accompanied by increased plasma insulin levels (Figure 2). DCZ treatment of α-GqD mice also led to improved glucose tolerance (Figure 3). Moreover, chronic CNO treatment of obese, glucose-intolerant α-GqD mice led to greatly improved glucose homeostasis (Figure 5), indicating that α cell Gq signaling represents a potential therapeutic target since this pathway is not subject to desensitization.

In agreement with the in vivo metabolic phenotypes displayed by the α-GqD mice, DCZ treatment of isolated islets prepared from α-GqD mice stimulated both glucagon and insulin release (Figure 4). DCZ treatment of α-GqD islets increased glucagon and insulin release in a biphasic fashion (Figure 4). Since glucagon can directly stimulate somatostatin secretion under both low- and high-glucose conditions through glucagon and GLP-1 receptors expressed on δ cells (46), one possible explanation for this observation is that the initial peak in hormone release is counteracted by glucagon-induced somatostatin release from adjacent δ cells (14). However, this hypothesis needs to be tested experimentally.

Taken together, our in vivo and in vitro data support a model in which acute activation of α cell Gq signaling promotes the release of glucagon, which, via paracrine action on adjacent β cells (7–11), triggers the release of insulin.

It is well-known that agonist binding to Gq-coupled receptors leads to the activation of different isoforms of phospholipase C, resulting in the breakdown of phosphatidyl inositol and the generation of the second messengers, inositol 1,4,5-trisphosphate (IP3) and diacylglycerol (16, 17). IP3 binding to specific receptors in the endoplasmic reticulum results in the release of Ca2+ from intracellular stores (16, 17). Several lines of evidence indicate that increases in intracellular Ca2+ levels in α cells are a major trigger for glucagon release (47). Based on these previous findings, it is highly likely that the Gq-mediated increases in glucagon secretion observed in the present study depend on the ability of activated Gq to raise cytoplasmic Ca2+ levels in α cells.

Walker et al. (48) recently used an adenovirus-based approach to express the GqD designer receptor in genetically engineered human pseudoislets that resembled native human islets. CNO treatment of the GqD-expressing pseudoislets led to a robust increase in glucagon secretion. Although GqD expression was not restricted to α cells, this observation is consistent with the concept that stimulation of human α cell Gq signaling promotes glucagon secretion. Since the GqD construct was also expressed by β cells, it remains unclear to what extent CNO-induced glucagon release contributed to the CNO-evoked biphasic effects on insulin secretion in this experimental system (48).

By analyzing published scRNA-Seq data (29, 30), we identified a Gq-coupled receptor, the V1bR, that is selectively expressed in both mouse and human α cells, as compared with β cells and other islet cells. Studies with isolated mouse and human islets showed that agonist stimulation of WT islets with a selective V1bR agonist caused a pronounced increase in glucagon release (Figure 6). V1bR agonist–induced glucagon responses could be prevented by pretreatment of islets with UBO-QIC (selective Gq inhibitor) (Figure 6), indicating that the V1bR-evoked effects on glucagon secretion were mediated by Gq-type G proteins.

The V1bR is part of a family of receptors that is activated by AVP, a nonapeptide synthesized by distinct neuronal subpopulations of the hypothalamus (49). Other members of this family are the V1a and V2 receptor subtypes (34). Under physiological conditions, an increase in plasma osmolality represents the major trigger of AVP release, leading to antidiuresis via activation of V2 receptors expressed by kidney collecting duct cells (50). However, AVP secretion can also be induced by other factors in both animal models and humans, including hypoglycemic or glucopenic conditions (35–38, 43, 44). Interestingly, acute hypoglycemia has been shown to activate AVP-containing hypothalamic neurons in animal models (51, 52).

The V1bR is expressed in various regions of the brain and in several peripheral tissues (34). The best known function of the V1bR is to stimulate the release of ACTH from the pituitary gland (53). In contrast, little is known about the potential metabolic functions of this receptor subtype. In agreement with the hormone release data obtained with V1bR agonist-treated (d[Leu4,Lys8]-VP) WT islets (Figure 6), acute V1bR agonist treatment of WT mice resulted in a significant increase in plasma glucagon levels in vivo (Figure 7A). These data are in agreement with the concept that AVP-mediated increases in plasma glucagon levels involve the activation of α cell V1bRs.

Treatment with insulin and several other insulin secretagogues can cause hypoglycemia, which remains a major limiting factor in achieving euglycemia in patients with type 1 diabetes (T1D) or T2D (3, 4, 54). It has been estimated that about 5% of T1D patients and a significant number of T2D patients die from insulin-induced hypoglycemia (55). In both T1D and T2D, the ability of glucagon to counteract insulin-induced hypoglycemia has been shown to be impaired (3, 4, 14). For this reason, a better understanding of the cellular and molecular mechanisms that control glucagon release under hypoglycemic conditions is of considerable clinical relevance.

Based on the ability of V1bRs to promote glucagon release, we explored the possibility that V1bR signaling contributes to the counterregulatory increase in plasma glucagon levels triggered by insulin-induced hypoglycemia. In agreement with this concept, we demonstrated that treatment of WT mice with insulin caused a significant increase in plasma AVP levels (Figure 7B), consistent with previous findings (35–37). Strikingly, the insulin-evoked increase in plasma glucagon levels was abolished after pretreatment of WT mice with a selective V1bR antagonist (SSR149415; Figure 7C), indicating that AVP-dependent activation of V1bRs plays a key role in the compensatory increase in glucagon release following insulin-induced hypoglycemia.

During hypoglycemia, glucagon secretion also serves as feedback to protect the organism from the detrimental effects of low glucose levels in neurons and other cell types (glucopenia) (40, 42). In metabolism research, 2-DG, a competitive inhibitor of the production of glucose-6-phosphate from glucose, is often employed to induce glucopenia in the brain and other tissues (39–42). Similar to insulin-induced hypoglycemia, 2-DG administration leads to elevated AVP levels in both humans and experimental animals (43, 44). On the basis of these findings, we examined whether endogenous AVP/V1bR signaling contributes to 2-DG–induced glucagon release. In agreement with this concept, 2-DG treatment of WT mice resulted in a pronounced increase in both plasma AVP and plasma glucagon levels, and the 2-DG–evoked increase in glucagon secretion was greatly reduced after pretreatment with a V1bR antagonist (Figure 7, B and D).

Glucagon release from pancreatic α cells is known to be regulated by several other GPCRs endowed with distinct G protein–coupling properties (14). For example, it is well-known that δ cell–derived somatostatin inhibits glucagon release in a paracrine fashion via activation of Gi-coupled somatostatin receptors expressed by α cells (56). On the other hand, following a meal, the incretin GIP stimulates glucagon release by binding to α cell GIP receptors, which preferentially interact with Gs (57).

In conclusion, by using a combination of different experimental approaches, we demonstrated that activation of α cell Gq signaling results in enhanced glucagon secretion and that this effect triggers multiple beneficial metabolic effects in both lean and obese, glucose-intolerant mice. We also identified an endogenous Gq-coupled receptor, the V1bR subtype, that is enriched in mouse and human α cells. As expected, agonist activation of the V1bR promoted glucagon release in a Gq-dependent fashion. Finally, we demonstrated that endogenous AVP/V1bR signaling plays a key role in mediating counterregulatory glucagon secretion under hypoglycemic and glucopenic conditions. Given the central role of glucagon in regulating glucose homeostasis, these potentially novel findings should be of considerable translational relevance.

Methods

Drugs, reagents, and mouse models. All drugs, reagents, antibodies, and mouse models used are listed in Supplemental Table 1.

Mouse maintenance. Mice were kept at 23°C in a specific pathogen–free facility with a 12-hour light/12-hour dark cycle, with unrestricted access to water and standard rodent chow (7022 NIH-07 diet, 15% kcal fat, energy density 3.1 kcal/g, Envigo Inc.). In a subset of experiments, mice (age: 16 weeks) were maintained on an HFD (F3282, 60% kcal fat, energy density 5.5 kcal/g, Bioserv) for at least 6 weeks. For chronic DCZ treatment experiments, HFD mice received daily injections of DCZ (10 μg/kg) for at least 7 days. Unless stated otherwise, adult male littermates were used for all experiments. The WT mice used for some of the studies were obtained from Taconic (C57BL/6NTac mice).

Generation of α-GqD mice and other mutant mouse strains. Mutant mice expressing the GqD designer receptor (18) selectively in α cells (α-GqD mice) were generated by crossing CAG-LSL-GqD mice (alternative name: CAG-LSL-hM3Dq mice) (22) with Gcg-CreERT2 knockin mice, which harbor a tamoxifen-inducible form of Cre recombinase (23). In order to induce nuclear Cre activity, we injected mice carrying 1 copy of Gcg-CreERT2 and 1 copy of CAG-LSL-GqD for 6 consecutive days with TMX suspended in corn oil (2 mg TMX i.p. per mouse per day). As outlined in detail under Results, this experimental protocol led to the selective expression of GqD in pancreatic α cells. For control purposes, we injected CAG-LSL-GqD mice that did not carry the Gcg-CreERT2 transgene with TMX in an identical fashion. These mice did not express the GqD receptor and served as control animals throughout the study. All animals used were maintained on a C57BL/6 background.

Avpr1b-Cre+/+ knockin mice (genetic background: C57BL/6) were a gift from W. Scott Young (National Institute of Mental Health, NIH, Bethesda, Maryland, USA) (31). These mice lack functional V1bRs due to the insertion of the Cre transgene.

Mouse genotyping. Mouse tail DNA was used for PCR genotyping of Gcg-CreERT2 and CAG-LSL-GqD mice. To detect the Gcg-CreERT2 transgene, the following PCR primer pair was used: Cre-F, 5′-CCTGGAAAATGCTTCTGTCCG-3′; Cre-R, 5′-CAGGGTGTTATAAGCAATCCC-3′) (product size: 400 bp). The presence of the CAG-LSL-GqD allele was confirmed by the use of the following primers: GqD-F, 5′-CGCCACCATGTACCCATAC-3′; GqD-R, 5′-GTGGTACCGTCTGGAGAGGA-3′ (product size: 204 bp). PCR reactions were carried out using standard procedures.

Determination of blood glucose levels and plasma hormone measurements. Blood for glucose and plasma hormone measurements was collected from the mouse tail vein. Blood glucose levels were measured with an automated blood glucose reader (Glucometer Elite Sensor; Bayer). Blood samples used for plasma hormone measurements were collected in EDTA-coated tubes (SAFE-T-FILL, RAM Scientific) containing aprotinin (500 KIU/mL) and dipeptidyl peptidase-4 inhibitor (KR-62436, 0.01 mM). Plasma was obtained by centrifugation at 10,000g for 10 minutes at 4°C. Plasma insulin, glucagon, GLP-1, GIP, and AVP levels were determined using commercially available ELISA kits (see Supplemental Table 1 for details).

DCZ challenge test. To assess the in vivo effects of acute activation of the GqD receptor in α cells, α-GqD mice and their control littermates were injected with DCZ (10 μg/kg i.p. in saline). DCZ was administered to mice that had free access to food or that had been fasted overnight for about 14 hours. Blood glucose concentrations and plasma insulin and glucagon levels were determined using blood collected from the tail vein at defined time points.

Treatment of WT mice with a selective V1bR agonist. WT mice (C57BL/6NTac mice, 12-week-old males) were injected i.v. (via the tail vein) with either vehicle (saline) or d[Leu4,Lys8]VP (0.3 μg/kg), a selective V1bR agonist (32). Blood was collected from the tail vein for blood glucose and plasma glucagon and insulin measurements (see above) immediately prior to injections and 10, 30, and 60 minutes afterwards.

GTT and glucose-stimulated insulin secretion. To evaluate the effects of activation of Gq signaling in α cells on glucose tolerance, α-GqD mice and control littermates were fasted overnight and then injected with glucose (2 g/kg i.p. for chow diet mice; 1 g/kg i.p. for HFD mice), either in the presence or the absence of DCZ (10 μg/kg i.p. in saline). Blood glucose concentrations were determined immediately prior to injections and 15, 30, 60, 90, and 120 minutes afterward. In a subset of studies, mice were injected i.p. with Ex-9 (50 μg/mouse) 15 minutes prior to i.p. glucose administration. For glucose-stimulated insulin secretion experiments, α-GqD mice and control littermates were fasted overnight and then coinjected i.p. with glucose (2 g/kg) and DCZ (10 μg/kg). Plasma insulin and glucagon levels were measured immediately before and 5, 15, and 30 minutes after injections. Blood was collected from the tail vein.

ITT. To assess the effect of activating Gq signaling in α cells on insulin sensitivity, α-GqD mice and control littermates were fasted for 4 hours and then injected with human insulin (0.75 U/kg i.p. in saline), in the presence or absence of DCZ (10 μg/kg i.p. in saline), followed by the monitoring of blood glucose levels at regular time intervals. To measure AVP levels during insulin-induced hypoglycemia, WT mice (C57BL/6NTac mice, 8-week-old males) were injected i.p. with insulin (0.75 U/kg) or vehicle (saline). Subsequently, blood samples were taken from the tail vein at regular intervals for blood glucose and plasma AVP measurements. To study the effect of inhibiting endogenous V1bR signaling on insulin tolerance, WT mice (10-week-old males) were fasted 4 hours and then injected i.p. with a selective V1bR antagonist (SSR149415; 25 mg/kg in saline with 5% DMSO and 5% Tween 80) (33) or vehicle. Thirty minutes later, mice received insulin (1.25 U/kg i.p.), followed by the measurement of blood glucose and plasma glucagon levels at defined postinjection time points. Preinjection blood glucose and plasma glucagon levels were also determined. Blood was collected from the tail vein.

Pyruvate tolerance and glucagon challenge tests. To assess the effect of chronic activation of α cell Gq signaling on hepatic glucose production, HFD α-GqD mice and control littermates were fasted overnight and then injected with sodium pyruvate (1 g/kg i.p.). To measure the ability of glucagon to induce hyperglycemia, HFD α-GqD mice and control littermates that had been fasted for 6 hours received a bolus of glucagon (100 μg/kg i.p.). Blood glucose levels were determined at specific postinjection time points.

Glucopenia induced by 2-DG. To measure plasma AVP levels during 2-DG–induced glucopenia, WT mice (C57BL/6NTac mice, 8-week-old males) were fasted for 4 hours and then injected i.p. with 2-DG (500 mg/kg) or vehicle (saline). Blood samples were taken at regular intervals from the tail vein for blood glucose and plasma AVP measurements. A subgroup of WT mice (9-week-old males) were injected i.p. with the V1bR antagonist SSR149415 (25 mg/kg in saline with 5% DMSO and 5% Tween 80) or vehicle 30 minutes prior to 2-DG administration. Plasma glucagon levels were measured as described above.

Glucagon and insulin secretion studies with isolated mouse islets. Pancreatic islets were prepared from different mutant mouse strains and WT mice (C57BL/6NTac mice) (mouse age: 16–24 weeks) as described before (58). Islets were cultured overnight in RPMI 1640 medium containing 1% penicillin/streptomycin, 10% FBS, and 7.5 mM glucose. Islets were then placed into perifusion chambers (100 islets/chamber) with Bio-Gel P-4 media (Bio-Rad) in an automated perifusion system (Biorep Perifusion System). The concentrations of the various agents that were added to the perifusion medium are indicated in the main text and in the figure legends. Perifusion experiments were carried out as described previously (59). Glucagon and insulin concentrations in the perfusates were determined with a mouse glucagon ELISA kit (R&D Systems) and a mouse insulin ELISA kit (Mercodia), respectively, following the manufacturers’ instructions.

Western blotting and immunofluorescence studies. For Western blotting studies, different mouse tissues (~20 mg) were homogenized in 400 μL of RIPA buffer containing protease and phosphatase inhibitor cocktails. Tissue lysates were centrifuged at 4°C at 14,000g for 15 minutes. The supernatants were diluted 20-fold, and protein concentrations were determined using a BCA assay kit (Thermo Fisher Scientific). Subsequently, samples containing 20 mg protein were incubated at 37°C for 10 minutes, and proteins were separated using 3%–8% Tris-acetate SDS-PAGE gels (Thermo Fisher Scientific). Immunoblotting studies were performed using standard procedures. Immunoreactive proteins were visualized by using SuperSignal West Dura Chemiluminescent Substrate (Pierce). The expression of the GqD designer receptor was visualized by using a rabbit anti-HA primary antibody (1:1000; Cell Signaling Technology 3724) (note that the GqD construct contained an N-terminal HA epitope tag), followed by incubation with an HRP-conjugated anti-rabbit secondary antibody (1:5000; Cell Signaling Technology) (for antibody details, see Supplemental Table 1).

To study the expression of the GqD receptor in the mouse pancreatic islet cells, pancreata from α-GqD mice and control littermates were fixed overnight with 4% paraformaldehyde and embedded in paraffin. After deparaffinization, slides were heated in IHC-Tek epitope retrieval solution for 30 minutes and permeabilized in 0.25% Triton X-100 in PBS for 10 minutes. Samples were then blocked in 5% goat serum in PBS and incubated overnight at 4°C with a rabbit anti-HA primary antibody (Cell Signaling Technology 3724), together with an anti-insulin or anti-glucagon antibody (Abcam 7842 and 10988, respectively). After thorough washes with PBS, slides were incubated for 1 hour at room temperature with a mixture of Alexa Fluor 555– or Alexa Fluor 488–conjugated secondary antibodies (1:500 dilution) (for antibody details, see Supplemental Table 1).

To study V1bR expression in mouse islets, Avpr1b-Cre mice (31) were crossed with a Cre-dependent tdTomato reporter line (Ai9) (The Jackson Laboratory 007909). Doubly transgenic mice resulting from these matings were perfused transcardially with saline, followed by 10% neutral buffered formalin. Mouse pancreata were collected, cryoprotected in 30% sucrose/PBS at 4°C overnight, and then embedded in OCT compound and cryosectioned for immunofluorescence staining. Pancreatic cryosections were blocked with 5% goat serum in PBS and then incubated overnight with anti-insulin or anti-glucagon antibodies as described above. Samples were then extensively washed in PBS, followed by a 1-hour incubation at room temperature with an Alexa Fluor–conjugated secondary antibody (1:500). All sections were counterstained and mounted using ProLong Gold antifade reagent with DAPI. Negative controls were obtained by omitting the primary antibodies. Samples were analyzed by a Keyence digital microscope (BZ-9000) with a CFI Plan Apo λ ×40 lens or by a confocal microscope (Zeiss LSM 700). Detailed information about the antibodies used is given in Supplemental Table 1.

Quantification of gene expression by reverse transcription quantitative PCR. For mRNA expression analysis, total hepatic mRNA was extracted and purified using the RNeasy Mini Kit combined with RNase-free DNase set from QIAGEN, according to the manufacturer’s instructions. cDNA was synthesized using SuperScript III First-Strand Synthesis SuperMix (Invitrogen). Reverse transcription quantitative PCR was performed and detected using SYBR Green (Applied Biosystems). mRNA expression data were normalized relative to the expression of β-actin. All PCR primers used are listed in Supplemental Table 1.

Glucagon release studies with perifused human islets. Hormone secretion studies were carried out with isolated human islets as described previously (60). Briefly, human islets were received through the Integrated Islet Distribution Program. Islets from 10 different donors were used (for details, see Supplemental Table 2). A total of 800 handpicked islets were placed on a nylon filter in a perifusion chamber (MilliporeSigma) and perfused at a flow rate of 0.8 mL/min. The perifusion apparatus consisted of a programmable, computer-controlled, low-pressure chromatography system (Bio-Rad Econo), a water bath (37°C), and a fraction collector (Waters Fraction Collector III). The perifusion solution was equilibrated with 95% O2 and 5% CO2 and consisted of Krebs buffer (pH 7.4) containing: 114 mM NaCl, 5 mM KCl, 24 mM NaHCO3, 1 mM MgCl2, 2.2 mM CaCl2, 1 mM Pi, 10 mM HEPES (pH 7.4), and 0.25% BSA.

To assess the effects of a V1bR agonist (d[Leu4,Lys8]-VP) on glucagon secretion, islets were first pre-perifused with substrate-free medium. Next, a physiological AAM (total concentration: 4 mM) was added, followed by low glucose (G3, 3 mM glucose). In a subset of experiments, a V1bR antagonist (or vehicle) was added, followed by the addition of the V1bR agonist and high glucose (G16.7, 16.7 mM glucose). Last, all compounds were washed out to reestablish basal secretion rates. Each step in this protocol was 20 minutes long (see Figure 6 for the detailed experimental protocol), except that antagonist preincubations lasted for only 10 minutes. The nature and concentrations of the various drugs used are indicated in the main text and in the legend of Figure 6.

Glucagon concentrations in the perifusates were measured by double antibody RIA (GL-32K, MilliporeSigma). Secretion rates were normalized to the final 10 minutes of the G3 step, where a steady-state glucagon secretion rate was established in the presence of AAM and G3.

Statistics. Data are expressed as mean ± SEM for the indicated number of observations. Prior to performing specific statistical tests, we performed tests for normality and homogeneity of variance. Data were then tested for statistical significance by mixed effects repeated measures ANOVA for differences after injection, 2-tailed unpaired Student’s t test, or 1-way ANOVA, as appropriate. P < 0.05 was considered statistically significant.

Study approval. All animal studies were approved by the National Institute of Diabetes and Digestive and Kidney Diseases Institutional Animal Care and Use Committee. The University of Pennsylvania Institutional Review Board exempted research in human islets from ethical review because the islets were received from deceased, deidentified organ donors. All pancreata were from deceased donors after having obtained consent from their families through United Network for Organ Sharing.

Author contributions

LL, DD, NMD, and JW designed and conceived the experiments. LL, DD, KFS, LFB, YC, JCR, and NMD performed and analyzed data from the experiments. YX, JJ, GMK, EK, and KHK provided potentially novel reagents or mouse models. LL and JW wrote the manuscript.

Supplemental material

View Supplemental data

Acknowledgments

This research was funded by the Intramural Research Program of the National Institute of Diabetes and Digestive and Kidney Diseases (NIH). We also gratefully acknowledge funding from the Deutsche Forschungsgemeinschaft (290827466/FOR2372 to GMK and 290847012/FOR2372 to EK, respectively). We thank the University of Pennsylvania Diabetes Research Center for access to the Islet Cell Biology Core and Radioimmunoassay Core (P30-DK19525). The CAG-LSL-GqD mice (alternative name: CAG-LSL-hM3Dq mice) were provided by Bryan Roth (University of North Carolina, Chapel Hill, North Carolina) and Ute Hochgeschwender (Central Michigan University, Mt. Pleasant, Michigan) ahead of publication (22). This strain can now be obtained from The Jackson Laboratory (stock 026220). We also thank W. Scott Young (National Institute of Mental Health, NIH, Bethesda, Maryland) for providing the Avpr1b-Cre knockin mice.

Address correspondence to: Jürgen Wess, Laboratory of Bioorganic Chemistry, Molecular Signaling Section, National Institute of Diabetes and Digestive and Kidney Diseases, Bldg. 8A, Room B1A-05, 8 Center Drive, Bethesda, Maryland 20892, USA. Phone: 301.402.3589; Email: jurgenw@niddk.nih.gov.

Footnotes

Conflict of interest: The authors have declared that no conflict of interest exists.

Copyright: © 2021, Liu et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.

Reference information: JCI Insight. 2021;6(24):e152852.https://doi.org/10.1172/jci.insight.152852.

References
  1. Ahren B. Glucagon--early breakthroughs and recent discoveries. Peptides. 2015;67:74–81.
    View this article via: CrossRef PubMed Google Scholar
  2. Unger RH, Cherrington AD. Glucagonocentric restructuring of diabetes: a pathophysiologic and therapeutic makeover. J Clin Invest. 2012;122(1):4–12.
    View this article via: JCI CrossRef PubMed Google Scholar
  3. Campbell JE, Drucker DJ. Islet α cells and glucagon--critical regulators of energy homeostasis. Nat Rev Endocrinol. 2015;11(6):329–338.
    View this article via: CrossRef PubMed Google Scholar
  4. Holst JJ, et al. Insulin and glucagon: partners for life. Endocrinology. 2017;158(4):696–701.
    View this article via: CrossRef PubMed Google Scholar
  5. Quesada I, et al. Physiology of the pancreatic alpha-cell and glucagon secretion: role in glucose homeostasis and diabetes. J Endocrinol. 2008;199(1):5–19.
    View this article via: CrossRef PubMed Google Scholar
  6. Lee YH, et al. Glucagon is the key factor in the development of diabetes. Diabetologia. 2016;59(7):1372–1375.
    View this article via: CrossRef PubMed Google Scholar
  7. Zhu L, et al. Intra-islet glucagon signaling is critical for maintaining glucose homeostasis. JCI Insight. 2019;4(10):e127994.
    View this article via: JCI Insight PubMed Google Scholar
  8. Capozzi ME, et al. β Cell tone is defined by proglucagon peptides through cAMP signaling. JCI Insight. 2019;4(5):e126742.
    View this article via: JCI Insight PubMed Google Scholar
  9. Svendsen B, et al. Insulin secretion depends on intra-islet glucagon signaling. Cell Rep. 2018;25(5):1127–1134.
    View this article via: CrossRef PubMed Google Scholar
  10. Sandoval D. Updating the role of α-cell preproglucagon products on GLP-1 receptor-mediated insulin secretion. Diabetes. 2020;69(11):2238–2245.
    View this article via: CrossRef PubMed Google Scholar
  11. Capozzi ME, et al. Glucagon lowers glycemia when β-cells are active. JCI Insight. 2019;4(16):e129954.
    View this article via: JCI Insight PubMed Google Scholar
  12. Patil M, et al. Glucagon-based therapy: past, present and future. Peptides. 2020;127:170296.
    View this article via: CrossRef PubMed Google Scholar
  13. Sánchez-Garrido MA, et al. GLP-1/glucagon receptor co-agonism for treatment of obesity. Diabetologia. 2017;60(10):1851–1861.
    View this article via: CrossRef PubMed Google Scholar
  14. Noguchi GM, Huising MO. Integrating the inputs that shape pancreatic islet hormone release. Nat Metab. 2019;1(12):1189–1201.
    View this article via: CrossRef PubMed Google Scholar
  15. Sriram K, Insel PA. G Protein-coupled receptors as targets for approved drugs: how many targets and how many drugs? Mol Pharmacol. 2018;93(4):251–258.
    View this article via: CrossRef PubMed Google Scholar
  16. Wettschureck N, Offermanns S. Mammalian G proteins and their cell type specific functions. Physiol Rev. 2005;85(4):1159–1204.
    View this article via: CrossRef PubMed Google Scholar
  17. Pierce KL, et al. Seven-transmembrane receptors. Nat Rev Mol Cell Biol. 2002;3(9):639–650.
    View this article via: CrossRef PubMed Google Scholar
  18. Armbruster BN, et al. Evolving the lock to fit the key to create a family of G protein-coupled receptors potently activated by an inert ligand. Proc Natl Acad Sci U S A. 2007;104(12):5163–5168.
    View this article via: CrossRef PubMed Google Scholar
  19. Rogan SC, Roth BL. Remote control of neuronal signaling. Pharmacol Rev. 2011;63(2):291–315.
    View this article via: CrossRef PubMed Google Scholar
  20. Guettier JM, et al. A chemical-genetic approach to study G protein regulation of beta cell function in vivo. Proc Natl Acad Sci U S A. 2009;106(45):19197–19202.
    View this article via: CrossRef PubMed Google Scholar
  21. Nagai Y, et al. Deschloroclozapine, a potent and selective chemogenetic actuator enables rapid neuronal and behavioral modulations in mice and monkeys. Nat Neurosci. 2020;23(9):1157–1167.
    View this article via: CrossRef PubMed Google Scholar
  22. Zhu H, et al. Cre-dependent DREADD (designer receptors exclusively activated by designer drugs) mice. Genesis. 2016;54(8):439–446.
    View this article via: CrossRef PubMed Google Scholar
  23. Ackermann AM, et al. High-fidelity Glucagon-CreER mouse line generated by CRISPR-Cas9 assisted gene targeting. Mol Metab. 2017;6(3):236–244.
    View this article via: CrossRef PubMed Google Scholar
  24. Schrage R, et al. The experimental power of FR900359 to study Gq-regulated biological processes. Nat Commun. 2015;6:10156.
    View this article via: CrossRef PubMed Google Scholar
  25. Heydemann A. An overview of murine high fat diet as a model for type 2 diabetes mellitus. J Diabetes Res. 2016;2016:2902351.
    View this article via: PubMed Google Scholar
  26. Jain S, et al. Chronic activation of a designer G(q)-coupled receptor improves β cell function. J Clin Invest. 2013;123(4):1750–1762.
    View this article via: JCI CrossRef PubMed Google Scholar
  27. Heller RS, et al. Insulinotropic glucagon-like peptide I receptor expression in glucagon-producing alpha-cells of the rat endocrine pancreas. Diabetes. 1997;46(5):785–791.
    View this article via: PubMed Google Scholar
  28. Thorens B, et al. Cloning and functional expression of the human islet GLP-1 receptor. Demonstration that exendin-4 is an agonist and exendin-(9-39) an antagonist of the receptor. Diabetes. 1993;42(11):1678–1682.
    View this article via: PubMed Google Scholar
  29. Xin Y, et al. RNA sequencing of single human islet cells reveals type 2 diabetes genes. Cell Metab. 2016;24(4):608–615.
    View this article via: CrossRef PubMed Google Scholar
  30. DiGruccio MR, et al. Comprehensive alpha, beta and delta cell transcriptomes reveal that ghrelin selectively activates delta cells and promotes somatostatin release from pancreatic islets. Mol Metab. 2016;5(7):449–458.
    View this article via: CrossRef PubMed Google Scholar
  31. Williams Avram SK, et al. NMDA receptor in vasopressin 1b neurons is not required for short-term social memory, object memory or aggression. Front Behav Neurosci. 2019;13:218.
    View this article via: PubMed Google Scholar
  32. Pena A, et al. Pharmacological and physiological characterization of d[Leu4, Lys8]vasopressin, the first V1b-selective agonist for rat vasopressin/oxytocin receptors. Endocrinology. 2007;148(9):4136–4146.
    View this article via: CrossRef PubMed Google Scholar
  33. Griebel G, et al. Anxiolytic- and antidepressant-like effects of the non-peptide vasopressin V1b receptor antagonist, SSR149415, suggest an innovative approach for the treatment of stress-related disorders. Proc Natl Acad Sci U S A. 2002;99(9):6370–6375.
    View this article via: CrossRef PubMed Google Scholar
  34. Yoshimura M, et al. Arginine vasopressin: direct and indirect action on metabolism. Peptides. 2021;142:170555.
    View this article via: CrossRef PubMed Google Scholar
  35. Baylis PH, Robertson GL. Rat vasopressin response to insulin-induced hypoglycemia. Endocrinology. 1980;107(6):1975–1979.
    View this article via: CrossRef PubMed Google Scholar
  36. Chiodera P, et al. Hypoglycemia-induced arginine vasopressin and oxytocin release is mediated by glucoreceptors located inside the blood-brain barrier. Neuroendocrinology. 1992;55(6):655–659.
    View this article via: CrossRef PubMed Google Scholar
  37. Drummond JB, et al. Copeptin response to hypoglycemic stress is linked to prolactin activation in children. Pituitary. 2020;23(6):681–690.
    View this article via: CrossRef PubMed Google Scholar
  38. Caraty A, et al. Insulin-induced hypoglycemia stimulates corticotropin-releasing factor and arginine vasopressin secretion into hypophysial portal blood of conscious, unrestrained rams. J Clin Invest. 1990;85(6):1716–1721.
    View this article via: JCI CrossRef PubMed Google Scholar
  39. Sato M, et al. Central glucopenia induced by 2-deoxy-D-glucose stimulates somatostatin secretion in the rat. J Neuroendocrinol. 1995;7(10):801–805.
    View this article via: CrossRef PubMed Google Scholar
  40. Molina PE, et al. Hormonal and metabolic effects of neuroglucopenia. Brain Res. 1993;614(1–2):99–108.
    View this article via: PubMed Google Scholar
  41. Fagius J, Berne C. Changes of sympathetic nerve activity induced by 2-deoxy-D-glucose infusion in humans. Am J Physiol. 1989;256(6 pt 1):E714–E720.
    View this article via: PubMed Google Scholar
  42. Borg WP, et al. Local ventromedial hypothalamus glucopenia triggers counterregulatory hormone release. Diabetes. 1995;44(2):180–184.
    View this article via: PubMed Google Scholar
  43. Baylis PH, Robertson GL. Vasopressin response to 2-deoxy-D-glucose in the rat. Endocrinology. 1980;107(6):1970–1974.
    View this article via: CrossRef PubMed Google Scholar
  44. Thompson DA, et al. Increased thirst and plasma arginine vasopressin levels during 2-deoxy-D-glucose-induced glucoprivation in humans. J Clin Invest. 1981;67(4):1083–1093.
    View this article via: JCI CrossRef PubMed Google Scholar
  45. Ahren B. Islet G protein-coupled receptors as potential targets for treatment of type 2 diabetes. Nat Rev Drug Discov. 2009;8(5):369–385.
    View this article via: CrossRef PubMed Google Scholar
  46. Svendsen B, Holst JJ. Paracrine regulation of somatostatin secretion by insulin and glucagon in mouse pancreatic islets. Diabetologia. 2021;64(1):142–151.
    View this article via: CrossRef PubMed Google Scholar
  47. Gromada J, et al. Alpha-cells of the endocrine pancreas: 35 years of research but the enigma remains. Endocr Rev. 2007;28(1):84–116.
    View this article via: CrossRef PubMed Google Scholar
  48. Walker JT, et al. Integrated human pseudoislet system and microfluidic platform demonstrate differences in GPCR signaling in islet cells. JCI Insight. 2020;5(10):e137017.
    View this article via: JCI Insight PubMed Google Scholar
  49. Gainer H. Cell-type specific expression of oxytocin and vasopressin genes: an experimental odyssey. J Neuroendocrinol. 2012;24(4):528–538.
    View this article via: CrossRef PubMed Google Scholar
  50. Bichet DG. Regulation of thirst and vasopressin release. Annu Rev Physiol. 2019;81:359–373.
    View this article via: CrossRef PubMed Google Scholar
  51. Paulmyer-Lacroix O, et al. Insulin-induced hypoglycaemia increases colocalization of corticotrophin-releasing factor and arginine vasopressin mRNAs in the rat hypothalamic paraventricular nucleus. J Mol Endocrinol. 1994;13(3):313–320.
    View this article via: CrossRef PubMed Google Scholar
  52. Briski KP, Brandt JA. Oxytocin and vasopressin neurones in principal and accessory hypothalamic magnocellular structures express Fos-immunoreactivity in response to acute glucose deprivation. J Neuroendocrinol. 2000;12(5):409–414.
    View this article via: PubMed Google Scholar
  53. Tanoue A, et al. The vasopressin V1b receptor critically regulates hypothalamic-pituitary-adrenal axis activity under both stress and resting conditions. J Clin Invest. 2004;113(2):302–309.
    View this article via: JCI CrossRef PubMed Google Scholar
  54. Isaacs D, et al. Glucagon: its evolving role in the management of hypoglycemia. Pharmacotherapy. 2021;41(7):623–633.
    View this article via: CrossRef PubMed Google Scholar
  55. Cryer PE. Death during intensive glycemic therapy of diabetes: mechanisms and implications. Am J Med. 2011;124(11):993–996.
    View this article via: CrossRef PubMed Google Scholar
  56. Patel YC, Srikant CB. Somatostatin receptors. Trends Endocrinol Metab. 1997;8(10):398–405.
    View this article via: CrossRef PubMed Google Scholar
  57. El K, et al. GIP mediates the incretin effect and glucose tolerance by dual actions on α cells and β cells. Sci Adv. 2021;7(11):eabf1948.
    View this article via: CrossRef PubMed Google Scholar
  58. Zhu L, et al. β-arrestin-2 is an essential regulator of pancreatic β-cell function under physiological and pathophysiological conditions. Nat Commun. 2017;8:14295.
    View this article via: CrossRef PubMed Google Scholar
  59. Barella LF, et al. β-Cell-intrinsic β-arrestin 1 signaling enhances sulfonylurea-induced insulin secretion. J Clin Invest. 2019;129(9):3732–3737.
    View this article via: JCI CrossRef PubMed Google Scholar
  60. Doliba NM, et al. Inhibition of cholinergic potentiation of insulin secretion from pancreatic islets by chronic elevation of glucose and fatty acids: Protection by casein kinase 2 inhibitor. Mol Metab. 2017;6(10):1240–1253.
    View this article via: CrossRef PubMed Google Scholar
Version history
  • Version 1 (November 9, 2021): In-Press Preview
  • Version 2 (December 22, 2021): Electronic publication

Article tools

  • View PDF
  • Download citation information
  • Send a comment
  • Share this article
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal

Metrics

  • Article usage
  • Citations to this article

Go to

  • Top
  • Abstract
  • Introduction
  • Results
  • Discussion
  • Methods
  • Author contributions
  • Supplemental material
  • Acknowledgments
  • Footnotes
  • References
  • Version history
Advertisement
Advertisement

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts