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Metabolic State Determines Central and Peripheral Mechanisms of Liraglutide-Enhanced Insulin Secretion
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Chiara Saponaro 1
Monica Imbernon 1
Isaline Louvet 1
Eleonora Deligia 2
Shiqian Chen 3
Iona Davies 3
Ana Acosta-Montalvo 1
Maria Moreno-Lopez 1
Eve Wemelle 4
Lakshmi Kothegala 5
Begoña Porteiro 6
Florent Auger 7
Lorea Zubiaga 1
Nathalie Dellalau 1
Julien Thevenet 1
Markus Mühlemann 1
Gianni Pasquetti 1
Valery Gmyr 1
Frank W. Pfrieger 8
Ruben Nogueiras 6
Markus Schwaninger 9
Patrik Rorsman 5
Bart Staels 10
Julie Kerr-Conte 1
Claude Knauf 4
Ben Jones 3
François Pattou 1
Vincent Prevot 2,11✉ Phone+33 612-90-38-76) Email
Caroline Bonner 1✉ Phone+33 651-58-32-70) Email
1 Univ. Lille, CHU Lille, Inserm U1190, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille 59000 Lille France
2 Laboratory of Development and Plasticity of the Neuroendocrine Brain, Lille Neuroscience & Cognition Univ. Lille, CHU Lille, UMR-S 1172, EGID F-59000 Inserm, Lille France
3 Division of Diabetes, Endocrinology and Metabolism, Section of Investigative Medicine Imperial College London London UK
4 Inserm U1220, Institut de Recherche en Santé Digestive (IRSD), International Research Project (IRP) NeuroMicrobiota Lab, CHU Purpan F-31024 Toulouse Cedex 3 France
5 Oxford Centre for Diabetes, Endocrinology and Metabolism University of Oxford, Churchill Hospital OX3 7LE Oxford UK
6 CIMUS, Universidade de Santiago de Compostela-Instituto de Investigación Sanitaria, CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn) 15782, 15706 Santiago de Compostela Spain, Spain
7 Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille 41 - UMS 2014 -PLBS F- 59000 Lille US, France
8 Centre National de la Recherche Scientifique, Institut des Neurosciences Cellulaires et Intégratives Université de Strasbourg Strasbourg France
9 Institute for Experimental and Clinical Pharmacology and Toxicology University of Lübeck Lübeck Germany
10 Univ. Lille, CHU Lille, Institut Pasteur de Lille, U1011-EGID Inserm, Lille France
11 Blizard Institute, Queen Mary University of London London UK
Chiara Saponaro1, Monica Imbernon2Ψ‡, Isaline Louvet1, Eleonora Deligia2, Shiqian Chen3, Iona Davies3, Ana Acosta-Montalvo1, Maria Moreno-Lopez1, Eve Wemelle4, Lakshmi Kothegala5, Begoña Porteiro6, Florent Auger7, Lorea Zubiaga1, Nathalie Dellalau1, Julien Thevenet1, Markus Mühlemann1, Gianni Pasquetti1, Valery Gmyr1, Frank W. Pfrieger8, Ruben Nogueiras6, Markus Schwaninger9, Patrik Rorsman5, Bart Staels10, Julie Kerr-Conte1, Claude Knauf4, Ben Jones3, François Pattou1, Vincent Prevot2‡* and Caroline Bonner1*.
* Corresponding authors: Caroline Bonner (caroline.bonner@univ-lille.fr; +33 651-58-32-70) and Vincent Prevot (vincent.prevot@inserm.fr; +33 612-90-38-76)
1 Univ. Lille, CHU Lille, Inserm U1190, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, 59000 Lille, France
2 Univ. Lille, Inserm, CHU Lille, Laboratory of Development and Plasticity of the Neuroendocrine Brain, Lille Neuroscience & Cognition, UMR-S 1172, EGID, F-59000 Lille, France
3 Division of Diabetes, Endocrinology and Metabolism, Section of Investigative Medicine, Imperial College London, London, UK
4 Inserm U1220, Institut de Recherche en Santé Digestive (IRSD), International Research Project (IRP), NeuroMicrobiota Lab, CHU Purpan, F-31024 Toulouse Cedex 3, France
5 Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK
6 CIMUS, Universidade de Santiago de Compostela-Instituto de Investigación Sanitaria, Santiago de Compostela, 15782, Spain- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), 15706, Spain
7 Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 -PLBS, F-59000 Lille, France
8 Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, Strasbourg, France.
9 Institute for Experimental and Clinical Pharmacology and Toxicology, University of Lübeck, Lübeck, Germany
10 Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
These authors contributed equally to the work
Ψ New address: Blizard Institute, Queen Mary University of London, London, UK
SUMMARY
While liraglutide effectively treats type 2 diabetes (T2D) and obesity, its mechanism of action across disease progression remains poorly understood. Liraglutide selectively enhances GSIS in islets from glucose-intolerant donors and in islets exposed to prediabetic conditions, but not in normoglycemic or T2D islets. In healthy mice, liraglutide's insulinotropic effect requires tanycyte-mediated central transport, whereas in glucose intolerance it acts directly on islets. Additionally, liraglutide reduces blood glucose in normoglycemic mice through insulin-independent mechanisms involving decreased gluconeogenesis and enhanced peripheral glucose uptake. These findings demonstrate that the therapeutic window for liraglutide's pancreatic effects may be optimal during prediabetes, while its central and insulin-independent actions predominate in other metabolic states.
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INTRODUCTION
Liraglutide, a potent agonist of the glucagon-like peptide-1 receptor (GLP-1R), is widely prescribed as an antihyperglycemic medication for the management of type 2 diabetes (T2D). Its primary mechanism of action involves enhancing insulin secretion16. Notably, this effect has been attributed to the modulation of beta cell Ca2+ oscillation frequency, as demonstrated in studies utilizing islets isolated from mice exposed to a diabetogenic diet7. Furthermore, the SCALE trial shows that liraglutide's benefits extend beyond glucose regulation in T2D. When combined with diet and exercise in normoglycemic individuals with obesity, liraglutide significantly reduced body weight and improved metabolic control6,8,9. Interestingly, these benefits have been attributed, at least in part, to liraglutide's action on the brain's hypothalamic areas and brainstem1014, suggesting a broader impact on metabolic pathways beyond its direct pancreatic effects. Notably, we have previously demonstrated in mice that tanycytes express the glucagon-like peptide-1 receptor (GLP-1r) and that these receptors mediate the transport of liraglutide into the mediobasal hypothalamus. Through tanycyte transcytosis, liraglutide effectively reduces food intake, increases fatty acid oxidation, and induces weight loss15. These findings provide a deeper understanding of the intricate pathways through which liraglutide acts within the central nervous system to modulate metabolic processes and promote weight reduction. Furthermore, intracerebroventricular injection of glucagon-like peptide-1 (GLP-1) 16,17 and activation of GLP1-R neurons in the brain18 have been shown to enhance plasma insulin levels in response to a glucose challenge, indicating the involvement of the central nervous system in insulin release. Within this context, liraglutide, as a GLP-1R agonist, has been shown to exert its effects on specific neuronal cells, particularly those expressing pro-opiomelanocortin (POMC)1921. POMC neurons functionally interact with tanycytes to integrate circulating glucose signals22 and regulate insulin secretion by modulating parasympathetic nerve firing23.
We previously observed an intriguing phenomenon regarding the effects of liraglutide on pancreatic hormone secretion. Specifically, when examining islets isolated from normoglycemic donors under basal glucose concentrations (6 mmol/L), we found that liraglutide did not enhance GSIS. However, it exhibited a significant suppressive effect on the over-secretion of glucagon induced by the SGLT2 inhibitor dapagliflozin, using the same donor islet preparations and experimental conditions. This glucagon-lowering effect was mediated through somatostatin receptor 2 signaling in the alpha cells24. These findings emphasize the intricate mechanisms by which liraglutide influences pancreatic hormone secretion, demonstrating its therapeutic potential in regulating glucagon levels and promoting optimal glucose homeostasis. Notably, recent studies have also shed light on the co-secretion of bioactive GLP-1 and glucagon by pancreatic alpha cells in the context of metabolic disease. Both GLP-1 and glucagon act as ligands for the GLP-1R on beta cells, enhancing GSIS with varying affinities depending on glucose concentrations2530. These findings highlight the crucial role of glucagon in mediating liraglutide-enhanced insulin secretion, underscoring its significance in the therapeutic effects of liraglutide. However, to the best of our knowledge, there are currently no studies investigating whether the target tissue or mechanisms underlying the insulinotropic effect of liraglutide vary between normoglycemic and diabetic individuals or depending on the stage of metabolic disease.
Based on these observations, we hypothesized that liraglutide’s mode of action (peripheral vs. central) and its capacity to enhance GSIS might vary depending on the stage of diabetes. To explore this, we conducted an extensive study utilizing human pancreatic islet cultures derived from donors at various disease stages, including donors with glucose intolerance (prediabetic) and T2D, together with normoglycemic donors for comparison. These studies involved culturing islets with high glucose concentrations, both with and without glucagon, for 48 hours. This approach enabled us to thoroughly assess the effects of liraglutide on GSIS under these specific conditions. Furthermore, we studied mice with tanycyte-specific GLP-1r knockdown (GLP-1rTanycyteKD), limiting liraglutide transport to its target neurons, alongside wild-type (WT) animals to investigate its central action of liraglutide over insulin secretion. These mice were exposed to either a chow diet or a high-fat diet to mimic different stages of the disease. This comprehensive approach aimed to elucidate whether the effects of liraglutide were driven by central or peripheral mechanisms and to provide a better understanding of its mode of action in accordance with the progression of T2D.
RESULTS
Liraglutide Enhances Glucose-Stimulated Insulin Secretion in Glucose-Intolerant but not Normoglycemic or T2D islets.
Despite evidence that native GLP-1 and GLP-1R analogs can increase plasma insulin levels in both healthy individuals and patients with T2D3,3135, the direct mechanisms by which liraglutide enhances GSIS in pancreatic islet cultures are not fully understood. We have previously shown in human islet cultures that 10 pmol/L of liraglutide reduces glucagon over-secretion induced by the SGLT2 inhibitor dapagliflozin, with no changes in insulin secretion. However, these experiments were performed under basal glucose concentrations (6 mmol/L)24. Using a dynamic perifusion insulin secretion assay, we tested the ability of liraglutide to induce insulin secretion under high glucose concentrations (15 mmol/L) in human islet donor preparations. Before investigating the effect of liraglutide on GSIS, the functional status of human islets was evaluated by our quality control team. Our analysis indicated that the islet preparations (n = 42 donors) used in this study exhibited varying degrees of GSIS, as indicated by a large area of standard deviation (Supplementary Fig. 1A; in grey). Human islets isolated from normoglycemic donors (n = 6) were perfused with 1, 6 and 15 mmol/L of glucose with and without 10 pmol/L of liraglutide. While a stepwise increase in insulin secretion was observed as islets were perfused with increasing glucose concentrations, liraglutide did not enhance GSIS at any of the tested glucose concentrations (Supplementary Fig. 1B). Additionally, liraglutide (10 pmol/L) failed to enhance GSIS in islets isolated from C57Bl/6J mice fed a chow diet (n = 5) (Supplementary Fig. 1C). Due to liraglutide’s high affinity for albumin binding36, we conducted a dose-response experiment on normoglycemic islets using static incubation techniques (n = 3 donors) to investigate whether the lack of enhancement in GSIS was attributable to liraglutide concentration bias. The results revealed that liraglutide did not augment GSIS at doses ranging from 10 pmol/L to 20 nmol/L (Supplementary Fig. 1D). Furthermore, perifusion experiments demonstrated that even at a high concentration of 25 nmol/L, liraglutide failed to enhance GSIS, both in normoglycemic donor islet preparations (n = 8) and mouse islets isolated from C57Bl/6J mice fed a chow diet (n = 5) (Fig. 1A,B). To determine whether the lack of GSIS enhancement by liraglutide was associated with its failure to stimulate intracellular signaling via the GLP-1R, we investigated Ca2+ dynamics in islets isolated from mice fed a chow diet. The rationale for these experiments was based on previous studies showing that an increase in cytosolic Ca2+ concentration, induced by the release of intracellular stores or the influx through voltage-gated channels in the plasma membrane, is a key signaling event that triggers insulin granule exocytosis and integrates the activation of various signaling pathways coupled to GLP-1R37,38. At moderate glucose concentrations (6 mmol/L), where the significant effect of glucose alone did not overpower the specific effect of the agonist39, liraglutide failed to increase intracellular Ca2+ levels (Fig. 1C). Furthermore, we performed a GSIS assay using islets from n = 3 normoglycemic donors previously included in our study. We compared the effect of semaglutide, a GLP1R analog structurally related to liraglutide, with PBS serving as a negative control. Consistent with established literature 40,41, semaglutide significantly enhanced GSIS under high glucose concentrations, whereas islets perfused with glucose and PBS alone exhibited stable baseline insulin secretion (Supplementary Fig. 1E,F).
Fig. 1
Liraglutide's Enhancement of Glucose-Stimulated Insulin Secretion Is Metabolic State-Dependent.
(A) Dynamic insulin secretion from normoglycemic donor islets (n = 7) at 1, 6, and 15 mmol/L glucose ± 25 nmol/L liraglutide, normalized to insulin content. Right: insulin secretion comparison (last 10 min) between glucose alone (grey) and with liraglutide (blue). ****p < 0.0001. (B) Dynamic insulin secretion from chow-fed mouse islets (n = 6 mice) at 5.5 and 16.7 mmol/L glucose ± liraglutide, normalized to insulin content. Right: mean insulin secretion comparison. (C) Intracellular Ca2+ levels in chow-fed mouse islets (n = 6, 3–12 islets/mouse) at 6 and 11 mmol/L glucose ± liraglutide, expressed as % KCl max. Right: AUC analysis. ****p < 0.0001. (D) GLP-1R mRNA levels in islets from 112 donors stratified by BMI and HbA1c: lean normoglycemic (n = 17), obese normoglycemic (n = 31), lean glucose-intolerant (n = 29), obese glucose-intolerant (n = 15), obese undiagnosed T2D (n = 10), and obese diagnosed T2D (n = 10). *p < 0.04, **p < 0.0038. (E) Dynamic insulin secretion from glucose-intolerant donor islets (n = 6) under conditions as in (A). *p < 0.021, **p < 0.0013, ***p < 0.0005, ****p < 0.0001, $p < 0.031, $$$p < 0.0009. (F) Dynamic insulin secretion from 12-week high-fat-fed mouse islets (n = 6 mice) under conditions as in (B). ****p < 0.0001. (G) Intracellular Ca2 + measurements in 12-week high-fat-fed mouse islets under conditions as in (C). *p < 0.015, **p < 0.0035, ****p < 0.0001. (H) Dynamic insulin secretion from T2D donor islets (n = 4) under conditions as in (A). *p < 0.044, ***p < 0.0018, ****p < 0.0001. (I) Dynamic insulin secretion from 27-week high-fat-fed mouse islets (n = 6 mice) under conditions as in (B). **p < 0.0094. Data presented as means ± SEM. Statistical analyses: Two-way ANOVA with post hoc tests (A,C,E,G,H) or unpaired t-test (B,F,I). BMI cutoffs: lean < 24, obese > 25; HbA1c cutoffs: normoglycemic < 5.6, glucose-intolerant > 5.7, T2D > 6.4.
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In our previous study, we observed elevated GLP-1R gene expression in islets from donors with obesity, regardless of T2D status, compared to normoglycemic donors24. However, the individuals with T2D in that cohort were not stratified according to their antidiabetic medication status. In the present study, using a larger cohort with diverse BMI and HbA1c levels, we observed a trend of increased GLP-1R mRNA levels in islets from donors with higher BMI (> 25) and prediabetes (%HbA1c ≥ 5.7 but less than 6.4). Notably, islets from donors with T2D (%HbA1c ≥ 6.4) showed reduced GLP-1R gene expression compared to those with obesity or prediabetes (Fig. 1D). As previously observed42, human islet gene expression demonstrated considerable heterogeneity independent of donor metabolic status. Based on the observed trend of elevated GLP-1R gene expression in islets from donors with obesity and glucose intolerance, we examined whether altered glucose homeostasis affects beta cell responsiveness to liraglutide-mediated GLP-1R activation. To address this question, we evaluated GSIS using islets isolated from our experimental groups: human donors with glucose intolerance (HbA1c 5.7-6.0%) or T2D (HbA1c ≥ 6.0%), high-fat diet-fed C57Bl/6J mice (12 weeks), and db/db mice. Islets isolated from donors with glucose intolerance exhibited enhanced GSIS when perfused with 25 nmol/L of liraglutide for 20 minutes, at both 6 and 15 mmol/L glucose concentrations (Fig. 1E). This enhancement was diminished by the GLP-1R antagonist Exendin-9 (Supplementary Fig. 1G). Similarly, liraglutide enhanced GSIS in islets isolated from glucose intolerant mice fed a high-fat diet for 12 weeks (Fig. 1F), accompanied by elevated intracellular Ca+ 2 at both 6 and 11 mmol/L of glucose concentrations (Fig. 1G). However, liraglutide failed to enhance GSIS in islets from donors with T2D (Fig. 1H) and showed attenuated effects in islets from diabetic db/db mice (Fig. 1I).
Chronic Glucagon Exposure Enhances Liraglutide-Stimulated Insulin Secretion in Human Islets Under High-Glucose Conditions
Recent studies have revealed glucagon's pivotal role in stimulating insulin secretion from intact beta cells25. During the fed state, glucagon functions as an insulinotropic hormone, complementing rather than opposing insulin action, thereby maintaining euglycemia25,4345. To mimic the hyperglycemia and hyperglucagonemia characteristic of insulin resistance and pre-diabetes46, we cultured human islets for 48 hours in high-glucose (10 mmol/L) with or without glucagon (10 pmol/L), using islets maintained at basal glucose (5.5 mmol/L) as controls. Notably, liraglutide enhanced GSIS in normoglycemic islets exposed to combinated of high glucose and exogenous glucagon, but not in islets treated with either basal or high glucose alone (Fig. 2A). In islets from donors with obesity and/or glucose intolerance, liraglutide similarly enhanced GSIS following chronic exposure to high glucose plus glucagon, comparable to the enhancement observed with either basal or high glucose alone (Fig. 2B,C). Consistent with previous studies25,45, these findings suggest that glucagon stimulates insulin secretion in human islets under high-glucose conditions (10 mM) primarily through GLP-1R activation. Moreover, chronic exposure to high glucose and glucagon elevated both GLP1R and INS mRNA levels in islets from donors with glucose intolerance or T2D (Fig. 2D,E), potentiating liraglutide's insulinotropic effects through enhanced receptor availability.
Fig. 2
Chronic Exposure to High Glucose and Glucagon Enhances Liraglutide-Stimulated Insulin Secretion.
(A-C) Dynamic insulin secretion from islets chronically treated (48h) with basal glucose (5 mmol/L, orange), high glucose (10 mmol/L, yellow), or high glucose plus glucagon (10 pmol/L, blue). Islets from normoglycemic (n = 3, A), obese (n = 3, B), and glucose-intolerant donors (n = 4, C) were perfused with 1 and 10 mmol/L glucose ± 25 nmol/L liraglutide. Right: insulin secretion comparison (last 10 min) between glucose alone (grey) and with liraglutide (blue). Statistical significance: A: Glucose *p = 0.042, drug ***p = 0.0057; with liraglutide: basal vs. high glucose + glucagon ***p = 0.0062, high glucose vs. high glucose + glucagon *p = 0.0405B: Drug effect *p = 0.0274 C: Drug effect **p = 0.0351. (D,E) GLP-1R (D) and INS (E) mRNA levels in human islets (n = 5 donors) after 48h treatment with basal glucose (orange), high glucose (yellow), or high glucose plus glucagon (blue). Statistical significance: D: Basal vs. high glucose + glucagon ****p < 0.0001, high glucose vs. high glucose + glucagon *p = 0.038. E: Basal vs. high glucose ***p = 0.0012, basal vs. high glucose + glucagon *****p < 0.0001, high glucose vs. high glucose + glucagon ****p < 0.0001. Data presented as means ± SEM. Statistical analysis: Two-way ANOVA with Tukey's post hoc tests.
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GLP-1 7–36 and GLP-1 9–36, Enhances Glucose-Stimulated Insulin Secretion from Normoglycemic Human and Mouse islets.
While liraglutide did not enhance GSIS in islets from normoglycemic donors, previous studies have demonstrated native GLP-1 (GLP-1 7–36) to be a potent insulin secretagogue under similar conditions37,4749. To explore this discrepancy, we assessed GSIS using the same donor islet preparations from normoglycemic donors and chow-fed mice, comparing liraglutide with GLP-1 7–36 as a positive control. Of note, GLP-1 7–36 significantly potentiated GSIS at both 10 pmol/L and 25 nmol/L, in contrast to liraglutide (Supplementary Fig. 2A,B). This effect was replicated in mouse islets under high glucose conditions (Supplementary Fig. 2C,D), accompanied by elevated intracellular Ca²⁺ levels at both basal and high glucose concentrations compared to vehicle controls (Supplementary Fig. 2E). To evaluate GLP-1R-mediated intracellular signaling independently of glucose concentrations, we measured intracellular cAMP levels at 5-minute intervals following exposure to increasing doses of liraglutide or GLP-1 7–36. Both ligands elicited comparable dose-dependent increases in intracellular cAMP (Supplementary Fig. 2F,G), suggesting that the differential secretory responses to liraglutide and GLP-1 7–36 stem from their distinct effects on intracellular Ca2+ mobilization rather than variations in GLP-1R cAMP signaling. The differential effects of GLP-1 7–36, semaglutide, and liraglutide on GSIS in normoglycemic donor islets suggested distinct mechanisms of action, potentially involving dipeptidyl peptidase 4 (DPP4) degradation50. DPP4, predominantly expressed in human and mouse alpha cells 51,52, rapidly converts GLP-1 7–36 to GLP-1 9–36, a weak insulinotropic peptide that inhibits glucagon secretion and hepatic glucose production53,54. Using islets from normoglycemic donors (n = 5), we compared the effects of liraglutide (10 pmol/L) and GLP-1 7–36 (10 pmol/L), with and without the DPP4 inhibitor sitagliptin, on insulin secretion under high glucose conditions (15 mmol/L). While GLP-1 7–36 enhanced GSIS, liraglutide showed no effect. Notably, sitagliptin co-treatment attenuated GLP-1 7-36-mediated GSIS enhancement (Supplementary Fig. 2H), suggesting a role for GLP-1 9–36 in this process. Indeed, direct GLP-1 9–36 treatment augmented GSIS at both basal (6 mmol/L) and high glucose (20 mmol/L) concentrations (Supplementary Fig. 2I). Using mouse islet perifusion, we compared insulin secretory dynamics in response to GLP-1 7–36, GLP-1 9–36 (both 25 nmol/L), and their combination with sitagliptin. Sitagliptin inhibition of GLP-1 7–36 degradation reduced GSIS compared to GLP-1 7–36 alone, aligning with the enhanced GSIS observed with GLP-1 9–36 treatment (Supplementary Fig. 2J). Notably, the differential GSIS response to GLP-1 7–36 versus liraglutide seen in normoglycemic donor islets was absent in glucose-intolerant donor islets, where both peptides enhanced GSIS (Supplementary Fig. 2K) with comparable increases in intracellular Ca2+ (Supplementary Fig. 2L) and dose-dependent cAMP elevation (Supplementary Fig. 2M,N).
Tanycytic Transport of Liraglutide Is Required for Glucose-Induced Insulin Release in Chow-Fed Mice, but not in glucose-intolerant mice fed a high-fat diet.
Previous studies, including our own, have demonstrated that liraglutide increases plasma insulin levels in healthy mice2,55, despite not directly enhancing GSIS in isolated pancreatic islets under these metabolic conditions (Fig. 1A,B). To investigate liraglutide's hypothalamic-mediated effects on insulin release and glucose homeostasis, we employed two mouse models: GLP-1rTanycyteKD mice with tanycyte-specific GLP-1R ablation, and iBot mice expressing botulinum toxin serotype B-light chain protein in tanycytes to suppress their transport function15,56. Previous studies have established liraglutide at 0.3 mg/Kg effectively reduces glycemia in both chow- and high-fat diet mice24,5759. A single intraperitoneal dose of liraglutide reduced glycemia during oral glucose tolerance tests (OGTTs) in both control and GLP-1rTanycyteKD mice (Fig. 3A). However, while liraglutide increased plasma insulin levels at 15 minutes post-glucose challenge in control mice, this effect was absent in GLP-1rTanycyteKD mice (Fig. 3B). iBot mice showed similar patterns of glycemic response and insulin secretion compared to controls (Supplementary Fig. 3A,B). These findings demonstrate that liraglutide’s enhancement of plasma insulin release in healthy mice depends on tanycytes-mediated central transcytosis, while its glucose-lowering effects persist even when transcytosis is blocked. Previous studies have identified the autonomic nervous system as a key mediator for specific GLP-1 effects60,61. To investigate the vagus nerve’s role in liraglutide-mediated plasma insulin elevation during OGTTs62 – given its central function in brain-pancreas-gut axis regulation63, we performed a celiac vagotomy (CVGX), severing central connections from the esophagus to stomach and pancreas, with sham-operated mice serving as controls. Intraperitoneal liraglutide reduced glycemia during OGTTs in both CVGX and sham-operated mice (Supplementary Fig. 3C). CVGX mice, unlike sham-operated controls, showed no increase in plasma insulin levels (Supplementary Fig. 3D), paralleling our observations in GLP-1rTanycyteKD and iBot mice. We then evaluated liraglutide's dose-dependent effects on plasma insulin and glycemia by conducting OGTTs in chow-fed mice across a broad dose range (0.006–0.4 mg/kg body weight). All tested doses reduced glycemia both during fasting and after glucose challenge. The EC50 for liraglutide's glucose-lowering effect was 0.01 mg/kg, both during fasting and OGTT conditions (Supplementary Fig. 3E,F). At this EC50 dose, like at 0.3 mg/kg, liraglutide reduced OGTT glycemia in both control and GLP-1rTanycyteKD mice (Supplementary Fig. 3G). However, the insulin-stimulating effect observed in control mice was absent in GLP-1rTanycyteKD mice (Supplementary Fig. 3H). Under normoglycemic conditions, tanycytic GLP-1R-mediated transcytosis of liraglutide appears crucial for its central regulation of plasma insulin release21,23, and sympathetic pancreatic outflow23,64,65. However, in mice fed a high-fat diet for 12 weeks, liraglutide enhanced both glucose reduction and insulin secretion during OGTTs in both GLP-1rTanycyteKD and control mice compared to saline-treated controls (Fig. 3C,D). Liraglutide's effect was mediated through direct pancreatic action, as islets isolated from both control and GLP-1rTanycyteKD mice showed enhanced GSIS in response to the agonist (Fig. 3E). Extended high-fat feeding (27 weeks) led to significant elevations in fasting glucose (Supplementary 3I), fasting plasma insulin (Supplementary 3J), and insulin resistance - assessed by homeostatic model assessment of insulin resistance (HOMA-IR) (Supplementary 3K), compared to either 12-week high-fat-fed or chow-fed mice. Under these conditions, liraglutide treatment reduced glycemia and failed to enhance plasma insulin levels in both genotypes (Fig. 3F,G). Notably, isolated islets from both control and GLP-1rTanycyteKD mice maintained liraglutide-responsive GSIS after 27 weeks of high-fat feeding (Fig. 3H), indicating preserved islet responsiveness despite impaired in vivo regulation.
Fig. 3
Metabolic State Determines the Requirement for Tanycytic GLP-1R in Liraglutide's Effects on Glucose Homeostasis.
(A,B) Chow-fed WT and GLP-1rTanycyteKD mice (n = 10/group) received saline or liraglutide (0.3 mg/kg) 60 min before oral glucose (2 g/kg). (A) Blood glucose and AUC. ***p < 0.001, ****p < 0.0001 (WT); ###p < 0.001 (GLP-1rTanycyteKD). (B) Plasma insulin. ****p < 0.0001 for T0 vs. T15 and treatment comparisons at T15 (C-E) Mice fed high-fat diet for 12 weeks (n = 10/group): (C) Blood glucose and AUC. **p < 0.01, ***p < 0.001 (WT); ##p < 0.01, ###p < 0.001 (GLP-1rTanycyteKD). (D) Plasma insulin. **p < 0.01, ****p < 0.0001 for indicated comparisons. (E) Dynamic insulin secretion from isolated islets (n = 6/genotype) at 5.5 and 16.7 mmol/L glucose ± liraglutide (25 nmol/L). ****p < 0.0001 for indicated comparisons. (F-H) Mice fed high-fat diet for 27 weeks (n = 10/group): (F) Blood glucose and AUC. ****p < 0.0001 (WT); ####p < 0.0001 (GLP-1rTanycyteKD). (G) Plasma insulin. **p < 0.01, ***p < 0.001, ****p < 0.0001 for indicated comparisons.
(H) Dynamic insulin secretion from isolated islets as in (E). **p < 0.01, ***p < 0.001, ****p < 0.0001 for indicated comparisons. Data presented as means ± SEM. Statistics: One- or Two-way ANOVA with Tukey's post hoc tests. Insulin secretion normalized to insulin content; glucose responses shown as % of baseline
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Liraglutide Reduces Glycemia Through Decreased Hepatic Gluconeogenesis and Enhanced Peripheral Glucose Uptake Independent of Plasma Insulin Elevation
Liraglutide acutely lowered fasting glycemia without elevating plasma insulin in lean, normoglycemic mice (Fig. 4A, B), suggesting its metabolic effects might be mediated through altered gluconeogenesis or enhanced peripheral glucose uptake. To test gluconeogenic regulation, we performed pyruvate tolerance tests (PTTs) in overnight-fasted wild-type mice with or without liraglutide treatment. Pyruvate administration increased plasma glucose levels in fasting mice, confirming active endogenous glucose production (Fig. 4C). Liraglutide-treated mice showed reduced glycemia and attenuated pyruvate-induced glucose elevation compared to saline controls (Fig. 4C). While hepatic glucose production is regulated by hypothalamic POMC neurons66, and central GLP-1 administration reduces hepatic glucose production67, liraglutide suppressed pyruvate-induced gluconeogenesis equally in GLP-1rTanycyteKD and wild-type mice (Fig. 4C). We further analyzed hepatic gluconeogenic gene expression in wild-type and GLP-1rTanycyteKD mice following overnight fasting and treatment with either liraglutide or saline. Liraglutide significantly reduced Pgc and G6pase mRNA levels in both genotypes, while Pc and PcK1 expression remained unaffected (Fig. 4D). These findings indicate that liraglutide reduces fasting blood glucose in both genotypes by inhibiting hepatic gluconeogenesis68, independent of tanycytic GLP-1R expression. To examine liraglutide's effects on tissue glucose uptake, we performed PET scanning to track [18F]2-fluoro-2-deoxy-d-glucose (18-FDG) utilization across tissues. Mice received intraperitoneal liraglutide (0.3 mg/kg) or vehicle, followed by an oral 18-FDG bolus (13.8 pg/kg) one hour later, and underwent PET imaging under isoflurane anesthesia (Fig. 4E), according to established protocols69. PET analysis revealed increased global tissue 18-FDG utilization in liraglutide-treated mice (Fig. 4F), without affecting gastric emptying or renal excretion (Supplementary Fig. 4A, B). Specifically, liraglutide enhanced 18-FDG uptake in the gut, white and brown adipose tissues, and brain, but not in muscle (Fig. 4G). Given the influence of gut motility on peripheral glucose utilization70, we examined liraglutide's effects on ex vivo isotonic contractions of gut segments following 30-minute pre-incubation (Fig. 4H). Liraglutide-induced glucose lowering (Fig. 4I) coincided with reduced ileal contraction amplitude (Fig. 4J), while duodenal, jejunal, and colonic contractions remained unchanged (Supplementary Fig. 4C-E). The ileum contains approximately 20% of mechanosensory gut neurons and vagal afferents from GLP-1-sensitive nodose ganglia neurons 71,72. These findings suggest that liraglutide's insulin-independent glucose-lowering effect in the pre-prandial state may be partially mediated through ileal actions that promote tissue glucose utilization via gut-brain axis activation.
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Fig. 4
Liraglutide Reduces Glycemia Through Insulin-Independent Effects on Ileal Motility and Tissue Glucose Uptake.
(A) Blood glucose response to liraglutide (0.3 mg/kg, i.p.) in fasted mice. *p < 0.05 (-30 min), ***p < 0.001 (0 min) vs. vehicle. (B) Fasting plasma insulin after liraglutide treatment. (C) Pyruvate tolerance test (2 g/kg) and AUC in chow-fed WT and GLP-1rTanycyteKD mice (n = 5–6/group) after saline or liraglutide (0.3 mg/kg). *p < 0.05, ***p < 0.001. (D) Hepatic gluconeogenic gene expression (Pgc, G6Pase, Pc, Pck1) in fasted WT and GLP-1rTanycyteKD mice 60 min after saline or liraglutide. *p < 0.05, ****p < 0.0001. (E) Experimental design for glucose uptake analysis using PET imaging. One-hour acquisition in 12 × 5-min frames. (F) Global tissue 18-FDG utilization relative to total body signal 65 min post-oral administration (13.8 pg/kg). *p < 0.05. (G) Tissue-specific 18-FDG uptake in gut, white adipose tissue (WAT), brown adipose tissue (BAT), muscle, and brain. *p < 0.05, **p < 0.01 vs. vehicle. (H) Protocol for intestinal contractility assessment. (I) Plasma glucose changes 30 min after liraglutide. **p < 0.01. (J) Mean amplitude of ex vivo ileal isotonic contractions in milliNewtons (mN). *p < 0.05. Data presented as means ± SEM. Statistics: Two-way ANOVA with Fisher's LSD (A), unpaired t-tests (B,F-J), or One-way ANOVA with Tukey's post hoc tests (C,D).
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Discussion
The progression to T2D involves complex interplay between obesity, insulin resistance, and hyperglucagonemia46,7375. Beta cells initially compensate through enhanced insulin secretion and mass expansion76, but this compensatory capacity eventually fails, leading to T2D46,77. While in vivo beta cell function assessment is challenging due to complex organ interactions, isolated human and mouse islets provide valuable insights into beta cell responses to therapeutics like liraglutide across disease stages. Recent advances in human islet research have revealed significant heterogeneity in glucose sensing and drug responsiveness78,79,42, highlighting how disease progression and beta cell functional state influence therapeutic outcomes. Unlike other GLP-1R analogs (semaglutide, supaglutide, and Exendin 4) that enhance GSIS in normoglycemic islets80,81,82, liraglutide selectively enhanced GSIS in glucose-intolerant donors' islets but not in normoglycemic or T2D islets. This specificity may relate to differential DPP4 degradation50 and the biological activity of GLP1 metabolites83. Our findings reveal that chronic exposure to high glucose and glucagon enhances islet responsiveness to liraglutide, mirroring conditions in glucose intolerance. In T2D, excessive GLP-1R stimulation may lead to receptor desensitization84,85, potentially explaining liraglutide's diminished efficacy. While liraglutide did not enhance GSIS in normoglycemic islets, it increased plasma insulin in healthy mice via central mechanisms24,86. Blocking tanycyte-mediated transport of liraglutide into the brain abolished this effect, further highlighting the importance of tanycytes in brain-pancreas communication and glucose homeostasis87. However, in glucose-intolerant mice, liraglutide directly enhanced insulin secretion independently of tanycytic GLP-1R expression. This suggests that under glucose intolerant conditions, liraglutide’s effects on beta cells for insulin secretion predominate over its central actions. Beyond insulin secretion, liraglutide lowered blood glucose through mechanisms involving the gut-brain axis. It reduced ileal motility, where GLP-1-secreting L-cells are abundant88, potentially activating the 'ileal brake' 83,89 and influencing glucose metabolism through gut-hypothalamus-liver signaling90,91. Liraglutide enhanced glucose uptake in multiple tissues and reduced hepatic glucose production, likely through indirect mechanisms given the absence of hepatic GLP-1R92,93. These findings emphasize the importance of timing liraglutide treatment across diabetes progression stages and reveal complex pancreas-brain interactions mediating its metabolic effects. Future studies using tissue-specific conditional knockouts could further elucidate the relative contributions of different organs to liraglutide's glucose-lowering effects.
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Our findings provide new insights into our understanding of liraglutide's therapeutic mechanisms across the metabolic disease spectrum. We reveal a previously unrecognized metabolic state-dependent duality in liraglutide's action: central regulation predominates in normoglycemia, while direct islet effects emerge during glucose intolerance before both mechanisms become compromised in established T2D. Beyond these novel insights into stage-specific insulin regulation, we uncover an insulin-independent glucose-lowering pathway involving gut-brain axis modulation. This mechanistic complexity not only explains the varied therapeutic responses observed clinically but also suggests that the timing of GLP-1R agonist intervention may be crucial for optimal therapeutic outcomes. These discoveries have immediate implications for personalizing incretin-based therapies and open new avenues for targeted therapeutic strategies across different stages of metabolic disease.
STAR Methods
RESOURCE AVAILABILITY
Lead contact
Additional information and requests for reagents and resources should be directed to and will be fulfilled by the lead contact (Caroline Bonner (caroline.bonner@univ-lille.fr; +33 651-58-32-70) and Vincent Prevot (vincent.prevot@inserm.fr; +33 612-90-38-76).
Materials availability
This study did not generate new unique reagents.
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Data and code availability
- Original values for creating the graphs in the paper are provided in Data S1.
- This paper does not report original code
- Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon reasonable request.
EXPERIMENTAL MODEL AND SUBJECT DETAILS
Human islet isolation and culture
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Human pancreatic islets were harvested from brain-dead adult human donors in the context of the traceability requirements for our clinical islet transplantation program (clinicaltrials.gov, NCT01123187, NCT00446264, NCT01148680). Islets isolated from lean, normoglycemic donors (BMI < 25, HbA1c < 5.7%), chronic smokers, obese normoglycemic donors (BMI > 30, HbA1c < 5.7%), glucose intolerant donors (HbA1c < 6.5%), newly diagnosed T2D (HbA1c < 7%) or overt T2D (HbA1c > 7%) were used in our study. The phenotypic characteristics of human islet donors are reported in Table 1. All human islet preparations underwent quality control assessment to demonstrate GSIS (Supplementary Fig. 1A). Islets were cultured in a glucose-free medium (Gibco, Life Technologies, Paris, France) supplemented with 0.625% HSA, 1% P/S, and 5.5 mM glucose. The dynamics of insulin secretion in response to different glucose and drug exposure were studied using a perifusion technique as previously described.94 In brief, the KREB solution used during the experiment contained: 120 NaCl, 4.8 KCl, 2.5 CaCl2, 1.2 MgCl2, and 24 NaHCO3 mmol/L. It was continuously gassed with a mixture of O2/CO2 (94:6% ratio) and was supplemented with 1 mg/ml BSA and the temperature was maintained at 37°C. Approximately, 300 islet equivalents (IEQ) were transferred into two reaction chambers and preincubated with low glucose concentration (3 mmol/L) for 50 min. After equilibration time, islets were exposed to 1 mmol/L, 6 mmol/L, and 15 mmol/L glucose concentrations throughout the experiment with or without liraglutide (10 pmol/L or 25 nmol/L). Samples were collected every 2 min to measure insulin concentration in the effluent fractions. During all processes, outflow, pressure, temperature (37°C), and oxygen addition were maintained constant. At the end of the experiment, islets were recovered from the chambers and transferred into acid-ethanol for intracellular insulin extraction. Insulin concentrations were expressed as % of insulin content that was secreted per minute. For insulin secretory dose-response experiments to liraglutide, human islets were exposed for 1h to glucose-free RPMI 1640 media (Gibco, Netherlands) supplemented with 0.625%HA, 1% P/S, and 1 mmol/L, 6 mmol/L, and 15 mmol/L glucose concentrations in the presence or absence of several concentrations of liraglutide (0.01 nmol/L, 0.1 nmol/L, 0.5 nmol/L, 1 nmol/L, 10 nmol/L or 20 nmol/L) using static incubation techniques as described previously.95 Each condition was performed in quadruple from each donor islet preparation and hormone secretion was normalized to the percentage of intracellular content. To study the effect of liraglutide on enhancing insulin secretion after chronic treatment with glucagon and glucose, human islets were cultured in CMRL media (Gibco, UK) supplemented with 5.5 mM glucose or 10 mM glucose with exogenous glucagon (10 pM). After 48 hours of culture, GSIS was performed by perifusion technique. Islets were stimulated with low (3 mmol/L), and high glucose (10 mmol/L) concentrations with or without liraglutide (25 nmol/L). Insulin secretion was normalized to intracellular insulin content and insulin secretion values were expressed as a percentage of content.
Animals
All mice were housed under specific pathogen-free conditions in a temperature-controlled room (21–22°C) with a 12h light/dark cycle and ad libitum access to food and water. All experiments were performed in 8–10 weeks-old male mice and were fed with either chow or high fat diet (D12492, Research Diet). All mice tissue and serum collection were kept at -80ºC
Male db/db mice (RRID:IMSR_TAC:DB), were obtained from Charles River. Tg(CAG-BoNT/B,EGFP)U75-56wp/J (BoNTB-EGFPloxP−STOP−loxP ) mice have been engineered by Dr. Franck Pfrieger (University of Strasbourg, France; JAX Stock No. 018056; (RRID:IMSR_JAX:018056) as previously described.96 Male C57Bl/6J (RRID:MGI:5657312) mice were purchased from Charles River.
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Animal studies were performed with the approval of the Institutional Ethics Committees for the Care and Use of Experimental Animals of the University of Lille and the French Ministry of National Education, Higher Education and Research (APAFIS#2617-2015110517317420 v5) and under the guidelines defined by the European Union Council Directive of September 22, 2010 (2010/63/EU).
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Animal procedures at Imperial College London were approved by the British Home Office under the UK Animals (Scientific Procedures) Act 1986. Male C57BL/6J mice (Charles River, UK) were group housed and held in a condition-controlled room at 21–23°C with 12h:12h light to dark cycles (lights on at 07:00). All animals had ad libitum access to water and feed. Lean mice were fed standard chow (RM1(E); Special Diet Services, UK), and diet-induced-obese (DIO) mice, a 60% kcal high-fat diet (D12492; Research Diets, USA).
METHOD DETAILS
Stereotaxic TAT-Cre delivery
Tanycyte-specific genetic modification in BoNTB-EGFPloxP−STOP−loxP mice was performed with the Cre/LoxP system by stereotaxic infusion of a TAT-Cre fusion protein as previously described.97 TAT-cre or vehicle was stereotaxically infused into the third ventricle (2 µl; at 0.2 µl/min; anteroposterior, -1.7 mm; midline, 0 mm; dorsoventral, -5.6 mm) of isoflurane-anesthetized BoNTB-EGFPloxP−STOP−loxP mice 2 weeks before commencing the experiments as previously described.15
Knock-down of GLP-1R in tanycytes
Tanycytic specific knockdown of GLP-1R (GLP-1rTanycyteKD) was performed in isoflurane-anesthetized 8-week old WT C57Bl/6J male mice (Charles Rives), by stereotaxically injection of either AAV1/2-shRNA-GLP-1R (AAV1/2-EGFP-U6-mGLP-1R-shRNA (ACC GCG TCA ACT TTC TTA TCT TC ACT CGA GTG AAG ATA AGA AAG TTG ACG C TTTTT); serotype 1:2 chimeric; titer = 5.7 x 1010; Vector Biolabs) or AAV1/2-GFP (AAV1/2-EGFP-U6(SapI); serotype 1:2 chimeric; titer = 6.5 x 1010; Vector Biolabs) in the lateral ventricle (2 µl; at 0.2 µl/min; anteroposterior, -0.3 mm; midline, -1 mm; dorsoventral, -2.5 mm), 2 weeks before starting the experiments as previously described.15
High-fat diet feeding, liraglutide treatment, and glucose tolerance tests
A total of 20 mice, consisting of 10 control mice (WT) and 10 GLP-1rTanycyteKD mice, were subjected to a high-fat diet (HFD) for either 12 or 27 weeks. These mice were divided into 4 groups, with each group consisting of 5 mice. Prior to drug administration, the mice underwent a fasting period. Subsequently, liraglutide (0.3 mg/kg) or saline was administered intraperitoneally (IP), and their blood glucose levels were monitored before and after the drug administration. After 1 hour, the mice were given a glucose bolus orally (2g/kg), and their glycemia was measured at regular intervals of 0, 15, 30, 60, and 90 minutes. Blood samples were collected before the glucose challenge and 15 minutes after the bolus to measure insulin levels. Blood was collected from the tail and stored in tubes using capillarity. Following centrifugation, plasma was separated and stored at -80°C until hormone measurement. Each experiment was repeated twice.
Mouse islet isolation and culture
Islets were isolated from C57bl6J lean mice fed a chow or HFD, db/db mice, and GLP-1rTanycyteKD mice. Each mouse was fully anesthetized and euthanized via cervical dislocation. The mouse was positioned with the abdomen facing upwards, and the skin was sterilized using 70% ethanol. An incision was made around the upper abdomen to expose the pancreas and common bile duct. Cold enzyme collagenase P was infused into the pancreas through the common bile duct. Following perfusion, the pancreas was extracted, placed in a 50 ml tube containing 2 ml of enzyme collagenase, and digested in a water bath at 37°C for 8–10 minutes. The enzymatic digestion was halted by adding cold Hanks' Balanced Salt solution with 1% albumin. To obtain a high-purity fraction of islets, a density gradient using polysucrose 1,132/1,108/1,096/1,069/1,000 (Mediatech) was performed. The isolated islets demonstrated a purity of over 90%, with minimal presence of exocrine tissue. They were then cultured in RPMI-1640 medium (Sigma Aldrich) supplemented with 2 g of glucose, 10% FBS, and 1% P/S for 18 hours before treatment. The perifusion technique, as described earlier for human islets, was utilized to study the insulin secretion dynamics in response to varying glucose and drug exposure.
At Imperial College London, pancreatic islets were isolated from lean or DIO C57BL/6J mice after 8 weeks on regular chow or high-fat diet, as above. Pancreata were inflated with RPMI-1640 medium (R8758, Sigma-Aldrich) containing 1 mg/mL collagenase from Clostridium histolyticum (S1745602, Nordmark Biochemicals), dissected and incubated in a water-bath at 37oC for 12 min. Islets were subsequently washed and purified using a Histopaque gradient (Histopaque-1119, 11191, Sigma-Aldrich, and Histopaque-1083, 10831, Sigma-Aldrich). Isolated islets were allowed to recover overnight in RPMI-1640 supplemented with 10% v/v FBS (F7524, Sigma-Aldrich) and 1% v/v Penicillin-Streptomycin solution (15070-063, Invitrogen).
Celiac vagotomy
The surgical procedure was performed in 6h fasted male C57Bl/6J mice under isoflurane anesthesia using standard aseptic procedures. After median laparotomy, the stomach was isolated outside the abdominal cavity, and all gastric connections to the spleen and liver were released. The left lobes of the liver were gently pulled aside, and the stomach was retracted caudally to expose the distal segment of the esophagus. At this level, the subdiaphragmatic left (anterior) vagal trunk was identified as descending parallel to the esophagus. The nerve was identified at the Hiss's angle. In mice receiving celiac vagotomy, all the connections around this area (between the esophagus, stomach [posterior wall], and the pancreas) were sectioned. In sham-operated animals, the left vagal branch was visualized but not sectioned. The stomach and the lobes of the liver were then repositioned back within the abdominal cavity. For all procedures, the laparotomy was closed using 4.0 polyglycolide sutures in two layers (peritoneum-aponeurosis and skin). A dose of xylocaine (1mg/kg) was applied along the sutures to reduce pain. Sham-operated and celiac vagotomised mice were fasted overnight (12 hours), after which they received an intraperitoneal injection of either liraglutide (Victoza, NovoFine®, Novo Nordisk) (0.3 mg/kg) or vehicle (0.9% NaCl solution)24,57,58. One hour later an oral glucose tolerance test (OGTT) was performed (2g/kg glucose) and glycemia was monitored before and after drug and glucose administration. Blood samples were collected during fasting and 15 min after the glucose challenge for plasma insulin measurements. Samples were kept on ice during the experiment before being centrifuged (4°C, 600 rpm, 15 min) for sample collection and stored at -80°C until their use.
Hormone measurements
Human insulin concentrations were measured using the human DxI Access Immunoassay System (Beckman Coulter), and mouse insulin concentrations were measured using the mouse Insulin Elisa kit (Mercodia AB; Uppsala Sweden; RRID: AB_2636872), according to the manufacturer's instructions.
Imaging and analysis of whole-islet Ca2+ dynamics
Imaging of whole-islet Ca2+ dynamics was performed 24 hours after isolation. Islets from individual C57BL/6J mice were pre-incubated for 1 hour in Krebs-Ringer Bicarbonate-HEPES (KRBH) buffer (140 mM NaCl, 3.6 mM KCl, 1.5 mM CaCl2, 0.5mM MgSO4, 0.5 mM NaH2PO4, 2 mM NaHCO3, 10 mM HEPES, saturated with 95% O2/5% CO2; pH 7.4) containing 0.1% w/v BSA (10775835001, Roche) and 6 mM glucose, and the Ca2+ responsive dye Calbryte590-AM (AAT Bioquest). Wide-field fluorescence imaging of islet Ca2 + responses was performed at 37C in black-walled microplates, using a modified Nikon Ti-2E with LED illumination, motorized stage and 10X air objective. After a baseline period at 6 mM glucose, liraglutide, glucose, or KCl were added to achieve the desired in-well concentrations of each stimulus. Typically, 30 islets were imaged per biological replicate. Fluorescence intensity traces from whole islet regions-of-interest (ROIs) after motion correction were extracted using Fiji (version 1.53t). Responses were double normalized, firstly as fractional change relative to baseline and then as a percentage of the maximum response to KCl.
Imaging and analysis of cAMP accumulation
Islets from C57BL/6J mice were dispersed by trituration in 0.05% trypsin-EDTA for 3 min at 37°C. The cell suspension was seeded onto black 96-well plates coated with 0.01% poly-D-lysine and 25 µg/ml mouse laminin (Thermo Fisher, UK) and transduced with the Green Up cADDis biosensor (10 µL per well; Montana Molecular, USA) according to the manufacturer’s instructions. 24 hours after viral transduction cells were washed and incubated in Kreb’s buffer with 6 mM glucose and 0.1% BSA for 30 min before the assay. Cells were imaged at 37°C using an automated epifluorescence microscope. Several wells were imaged in parallel with multiple FOVs per well acquired (comprising hundreds of cells) at set intervals before and after stepwise addition of agonist to achieve a 10-fold increase in concentration every 5 minutes. IBMX (500 µM) plus forskolin (FSK; 50 µM) were added to each well at the end of the incubation to maximally stimulate the sensor. A maximum intensity projection was derived and thresholded to define cell-containing regions. The fluorescence intensity was then measured at each timepoint and expressed as a fractional change from baseline. Individual cells that did not show a pre-defined response to IBMX/FSK were excluded. Intensity profiles were then normalised with the IBMX/FSK response set as 100%. The AUC for each concentration step was calculated and used to derive concentration-responses using 3-parameter fitting.
QPCR Analysis
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Human islets, obtained from donors with varying metabolic characteristics (as outlined in Table 1), were used for RNA extraction. The RNeasy Mini Kit (Qiagen, Courtaboeuf, France) was employed for total RNA extraction, and the concentration of each sample's RNA was measured using a Nano-drop.
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Subsequently, first-strand cDNA synthesis was carried out utilizing Superscript IV reverse transcriptase (Life Technologies, Lithuania) in accordance with the manufacturer's instructions. For quantitative RT-PCR, the Bio-Rad MyiQ Single-Color Real-Time PCR Detection System and Bio-Rad SYBR Green Supermix (Bio-Rad Laboratories, CA, USA) were employed. Primers for specific target genes (GLP-1R: Forward 5'-TTGTTCTGCAACCGGACCTT-3', Reverse 5'-CTCCTCGCACTCCGACAAGT-3'; INSULIN: Forward 5'-TGCATCAGAAGAGGCCATCA-3', Reverse 5'-CGTTCCCCGCACACTAGGTA-3'; RPL27: Forward 5'-TCTGGTGGCTGGAATTGACC-3', Reverse 5'-CCTTGTGGGCATTAGGTGATTG-3') were designed using Primer3 software and the Primer-design-tool from IDT Technologies. The final concentration of all primers used was 500 nM (250 nM forward + 250 nM reverse). The cDNA was diluted 1:10 with ultrapure water, and 2 µL of the diluted cDNA was added to each reaction, resulting in a final reaction volume of 10 µL. The Biorad CFX Connect Real-Time thermal cycler was utilized for amplification. Subsequently, a melt curve analysis was performed to assess primer and RT-PCR reaction quality. The gene expression levels were normalized to the housekeeping gene RPL27.
PET-CT Scan Technique
All PET (Positron Emission Tomography) scans were obtained using a microPET Inveon (Siemens Medical Solution, Knoxville, USA). After overnight fasting, one hour before the acquisition animals were intraperitoneally injected with either saline of liraglutide (0.3 mg/kg) and 5 minutes before the start of the PET scan, 0.72 ± 0.15MBq of 18F-FDG diluted in 0.2mL of water was orally administered in mice. For the PET experiments, the mice were anesthetized and maintained with a mixture of 2% isoflurane and air. PET data were acquired during one hour, all scans were performed in three-dimensional list mode, and acquisitions were reconstructed in 12 frames of 5 minutes. The CT (computerized tomography) scan was performed after PET imaging and provided anatomic and tissue attenuation coefficients. PET data were reconstructed with iterative algorithms of OSEM3D and corrected for attenuation and scatter. Imaging data analyses were performed on all frames by use of IRW software (IRW: Inveon Research Workplace version 4.2, Siemens Medical Solution).
Gastric emptying and intestinal absorption estimation
Gastric emptying and intestinal absorption were estimated by assessing tracer concentration in the stomach and small intestine as a function of time (Time Activity Curve: TAC). Volumes of interest (VOIs) for the whole-body mouse, stomach intestine, kidneys, and bladder were manually drawn, and the TAC of each VOI was estimated using IRW software. Gastric emptying was estimated from the difference between the FDG measured in the whole-body VOI and the amount remaining in the stomach. Intestinal absorption of the tracer that was emptied into the stomach was estimated from the total activity in the whole body minus the sum of that remaining in the stomach and the intestine 69.
Peripheral tissue's FDG uptake
In our study, peripheral tissue is defined as areas that do not include the stomach, intestine, bladder, and kidneys. The FDG measured in this peripheral tissue region was calculated as the difference between the FDG activity in the whole-body region and the sum of the FDG activities present in the stomach, kidneys, urinary bladder, and in intestine.
Brain, muscle, White, and Brown Adipose Tissue FDG uptake
VOIs were manually drawn in the brain, thigh muscle, inguinal adipose tissue, and brown adipose tissue. In the same way as the gastric emptying and intestinal absorption measurements, the TAC of these VOIs was estimated using IRW software. All TACs obtained in this study were normalized by the injected dose orally administrated and body weight.
Measurement of isotonic contractions
Mice were under fasted conditions (12 h/overnight) and euthanized 30 min after intraperitoneal liraglutide injection (0.3 mg/kg). After dissection, the ileum was washed and incubated with an oxygenated Krebs-Ringer solution (pH7.4, for 20min at 37°C), then attached to the isotonic transducer (MLT7006 Isotonic Transducer, Hugo Basile, Comerio, Italy), immersed in an organ bath containing the same medium maintained at 37°C. The load applied to the lever was 1g (10mN). Isotonic contractions were recorded using Labchart software (AD Instruments) following transducer displacement. After attaching the intestinal segments, basal contractions were recorded for 15 min. Contraction amplitudes are presented as mN and frequencies as numbers of contractions per minute as previously published98.
Statistics
Data are expressed as means ± s.e.m. Results between groups were analyzed using one-way and two-way ANOVA, with Tukey's, Dunnett’s, or Sidak's post hoc tests for multiple comparisons. Differences between the two groups were determined using paired or unpaired Mann-Whitney tests. Statistical analyses were performed with GraphPad PRISM 8.0 (version 8.4.2; GraphPad Software, La Jolla, California, USA, RRID: SCR_002798). The threshold for significance was P < 0.05.
ACKNOWLEDGEMENTS
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This work was supported by the EFSD/Lilly-2016, the Société Francophone du Diabète 2015, and the Conseil Regional Nord-Pas de Calais to CB, the European Consortium for Islet Transplantation funded by the Juvenile Diabetes Research Foundation to JKC and FP, the European Genomic Institute for Diabetes (E.G.I.D) ANR-10-LABX-0046 and I-SITE ULNE ANR-16-IDEX-0004 to VP, FP, and BS, the European Research Council (ERC) Synergy Grant no. 810331 to VP, RN, and MS, the Agence National de la Recherche (ANR, France) Grant ANR-15-CE14-0025, and the Novo Nordisk A/S to VP, the H2020-MSCA grant No. 748134 to MI. CK is supported by the Agence Nationale de la Recherche (ANR, France) Grant ANR-18-CE14-0007-01 (ENDIABAC) and by the « International Research Project » (IRP) grant - NeuroMicrobiota from Inserm. The Section of Endocrinology and Investigative Medicine at Imperial College London is funded by grants from the MRC, NIHR and is supported by the NIHR Biomedical Research Centre Funding Scheme and the NIHR/Imperial Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. B.J. has received funding from Diabetes UK (20/0006307), the MRC (MR/R010676/1), the IPPRF scheme, and North West London Pathology.
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AUTHOR CONTRIBUTIONS
CS and CB conceived the study. CS, MI, CK, BJ, VP, and CB designed and planned the experiments, and wrote the manuscript. CB and VP supervised the study. CS, MI, IL, ED, SC, ID, AAM, MML, EW, LK, BP, ND, JT, MM, and GP carried out specific experiments. LZ and RN performed vagotomy surgical procedures. JKC supervised islet isolation and quality control. VG, JKC, and FP provided human islets and contributed to the in-depth analysis of donor phenotype. FA conducted PET experiments. FWP and MS generated animal models. RN, PR, and BS edited the manuscript. All authors approved the final version of the manuscript.
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COMPETING INTERESTS
CK is a co-founder of Enterosys SA (Labège, France). Data and materials availability: all data are available in the main text or the supplementary materials.
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Supplementary Fig. 1: Dose-Dependent Effects of GLP-1R Agonists on Insulin Secretion in Normoglycemic Islets.
(A) Dynamic insulin secretion profile of study islets (n = 42) at 3 and 15 mmol/L glucose, normalized to insulin content. (B) Dynamic insulin secretion from normoglycemic donor islets (n = 6) at 1, 6, and 15 mmol/L glucose ± 10 pmol/L liraglutide. Right: comparison of glucose alone (grey) vs. liraglutide (blue). *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. (C) Dynamic insulin secretion from chow-fed mouse islets (n = 6) at 5.5 and 16.7 mmol/L glucose ± 10 pmol/L liraglutide, normalized to insulin content. Right: mean secretion comparison. (D) Static GSIS from normoglycemic donor islets (n = 3) at 1 mmol/L (white) or 15 mmol/L (grey) glucose ± liraglutide (0.01-20 nmol/L). **p < 0.01. (E,F) Dynamic insulin secretion from normoglycemic donor islets (n = 3) at 1, 6, and 15 mmol/L glucose with PBS (E) or semaglutide (25 nmol/L) (F). Right: secretion profiles. E: ***p < 0.001, ****p < 0.0001. F: *p < 0.05, ***p < 0.001, ****p < 0.0001, $$p < 0.01 (semaglutide effect). (G) Dynamic insulin secretion from glucose-intolerant donor islets (n = 2) at 1, 6, and 15 mmol/L glucose ± liraglutide (25 nmol/L) ± Exendin-9 (Ex9, 50 nmol/L). Right: secretion profiles. **p < 0.01, ***p < 0.001 (glucose effect); $p < 0.05 (liraglutide effect); **p < 0.01 (Ex9 effect). Data presented as means ± SEM. Statistics: Two-way ANOVA with Tukey's or Fisher's post hoc tests (B,D-G) or unpaired t-test (C). All insulin secretion normalized to insulin content.
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Supplementary Fig. 2: Comparative Effects of GLP-1 7–36 and GLP-1 9–36 on Insulin Secretion and Signaling.
(A,B) Dynamic insulin secretion from normoglycemic donor islets (n = 7) at 1, 6, and 15 mmol/L glucose ± GLP-1 7–36 at 10 pmol/L (A) or 25 nmol/L (B). Right: secretion profiles for glucose alone (grey) vs. GLP-1 7–36 (red). *p < 0.05, **p < 0.01, ***p < 0.001, $$p < 0.01 (drug effect). (C,D) Dynamic insulin secretion from chow-fed mouse islets (n = 6) at 5.5 and 16.7 mmol/L glucose ± GLP-1 7–36 at 10 pmol/L (C) or 25 nmol/L (D). **p < 0.01, ***p < 0.001. (E) Intracellular Ca2+ levels in chow-fed mouse islets (n = 6, 3–12 islets/mouse) at 6 and 11 mmol/L glucose ± GLP-1 7–36 (25 nmol/L). *p < 0.05, ****p < 0.0001. (F,G) cAMP responses in dispersed mouse islets expressing cADDis sensor. (F) Time course with 10-fold concentration increases every 5 min. (G) Dose-response curves for GLP-1 7–36 (red) and liraglutide (blue) vs. vehicle (grey). (H) Static insulin secretion from normoglycemic donor islets (n = 5) at 1 and 15 mmol/L glucose ± sitagliptin (200 nmol/L), liraglutide (10 pmol/L), GLP-1 7–36 (10 pmol/L), or GLP-1 7–36 + sitagliptin. *p < 0.05, **p < 0.01, ***p < 0.001. (I) Static insulin secretion from normoglycemic donor islets (n = 4) at 1, 6, and 20 mmol/L glucose ± GLP-1 9–36 (10 pmol/L). *p < 0.05, **p < 0.01, ***p < 0.001. (J) Dynamic insulin secretion from chow-fed mouse islets showing effects of GLP-1 7–36, GLP-1 9–36 (25 nmol/L each) ± sitagliptin (200 nmol/L). ****p < 0.0001. (K-N) Responses in glucose-intolerant conditions:
(K) Dynamic insulin secretion from glucose-intolerant donor islets (n = 2) ± GLP-1 7–36 (25 nmol/L) ± Ex9 (50 nmol/L). *p < 0.05, **p < 0.01, ***p < 0.001. (L) Intracellular Ca2+ in high-fat-fed mouse islets ± GLP-1 7–36. *p < 0.05, ****p < 0.0001. (M,N) cAMP responses in high-fat-fed mouse islets as in (F,G). Data presented as means ± SEM. Statistics: Two-way ANOVA with appropriate post hoc tests or unpaired t-tests. All insulin secretion normalized to insulin content.
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Supplementary Fig. 3: Tanycytic and Vagal Regulation of Liraglutide's Effects on Glucose Homeostasis
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(A,B) Chow-fed WT and iBot mice responses to oral glucose (2 g/kg) ± liraglutide (0.3 mg/kg): (A) Blood glucose and AUC. *p < 0.05, **p < 0.05, ***p < 0.01. (B) Plasma insulin (n = 5/group). *p < 0.05, **p < 0.02, ***p < 0.01, ****p < 0.0001. (C,D) CVGX vs. sham-operated mice responses to oral glucose ± liraglutide: (C) Blood glucose and AUC. **p < 0.01, ***p < 0.01. (D) Plasma insulin (n = 4/group). *p < 0.05. (E,F) Liraglutide dose-response curves: (E) Fasting glucose EC50. (F) Post-glucose challenge AUC EC50 (0.01 mg/kg indicated by dotted line). (G,H) Chow-fed WT and GLP-1rTanycyteKD mice (n = 8/group) responses to oral glucose ± liraglutide (0.01 mg/kg): (G) Blood glucose and AUC. *p < 0.05, **p < 0.01. (H) Plasma insulin. **p < 0.05, ***p < 0.001, ****p < 0.0001. (I-K) Metabolic parameters in WT mice (n = 10/group) fed chow (light blue), 12-week HF diet (blue), or 27-week HF diet (dark blue): (I) Fasting glucose. (J) Fasting insulin. (K) HOMA-IR
****p < 0.0001 for all comparisons. Data presented as means ± SEM. Statistics: One- or Two-way ANOVA with Tukey's post hoc tests.
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Supplementary Fig. 4: Tissue-Specific Effects of Liraglutide on Gastrointestinal Function. (A,B) 18-FDG tracking in fasted mice 60 min after liraglutide or saline treatment: (A) Gastric emptying, (B) Urinary excretion. (C-E) Ex vivo isotonic contraction amplitude (mN) in response to liraglutide in fasted mice: (C) Duodenum, (D) Jejunum, (E) Colon. Data presented as means ± SEM. Statistics: Unpaired t-tests.
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