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Sicinski KM, Sürmeli D, Du J, Raman VS, Montanari V, Lee M, Harwood BN, Kopin AS, Beinborn M, Kumar K. A Robust Platform for the Molecular Design of Potent, Protease-Stable, Long-Acting GIP Analogues. J Med Chem 2024. [PMID: 38458970 DOI: 10.1021/acs.jmedchem.4c00111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Abstract
Glucose-dependent insulinotropic peptide (GIP) is a 42-amino acid peptide hormone that regulates postprandial glucose levels. GIP binds to its cognate receptor, GIPR, and mediates metabolic physiology by improved insulin sensitivity, β-cell proliferation, increased energy consumption, and stimulated glucagon secretion. Dipeptidyl peptidase-4 (DPP4) catalyzes the rapid inactivation of GIP within 6 min in vivo. Here, we report a molecular platform for the design of GIP analogues that are refractory to DPP4 action and exhibit differential activation of the receptor, thus offering potentially hundreds of GIP-based compounds to fine-tune pharmacology. The lead compound from our studies, which harbored a combination of N-terminal alkylation and side-chain lipidation, was equipotent and retained full efficacy at GIPR as the native peptide, while being completely refractory toward DPP4, and was resistant to trypsin. The GIP analogue identified from these studies was further evaluated in vivo and is one of the longest-acting GIPR agonists to date.
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Affiliation(s)
- Kathleen M Sicinski
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
| | - Damla Sürmeli
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
| | - Jasper Du
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
| | - Venkata S Raman
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
| | - Vittorio Montanari
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
| | - Minhee Lee
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
| | - Benjamin N Harwood
- Molecular Cardiology Research Institute, Tufts Medical Center, Boston, Massachusetts 02111, United States
| | - Alan S Kopin
- Molecular Cardiology Research Institute, Tufts Medical Center, Boston, Massachusetts 02111, United States
| | - Martin Beinborn
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
- Molecular Pharmacology Research Center, Tufts Medical Center, Boston, Massachusetts 02111, United States
| | - Krishna Kumar
- Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
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Hinds CE, Peace E, Chen S, Davies I, El Eid L, Tomas A, Tan T, Minnion J, Jones B, Bloom SR. Abolishing β-arrestin recruitment is necessary for the full metabolic benefits of G protein-biased glucagon-like peptide-1 receptor agonists. Diabetes Obes Metab 2024; 26:65-77. [PMID: 37795639 DOI: 10.1111/dom.15288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 10/06/2023]
Abstract
AIM Earlier studies have shown that peptide glucagon-like peptide-1 receptor (GLP-1R) agonists with reduced β-arrestin recruitment show enhanced anti-hyperglycaemic efficacy through avoidance of GLP-1R desensitization. However, the ligand modifications needed to decrease β-arrestin recruitment usually also reduces GLP-1R affinity, therefore higher doses are needed. Here we aimed to develop new, long-acting, G protein-biased GLP-1R agonists with acute signalling potency comparable with semaglutide, to provide insights into specific experimental and therapeutic scenarios. MATERIALS AND METHODS New GLP-1R agonist peptides were assessed using a variety of in vitro and in vivo assays. RESULTS First, we show that very substantial reductions in β-arrestin recruitment efficacy are required to realize fully the benefits of GLP-1R agonism on blood glucose lowering in mice, with more moderate reductions being less effective. Secondly, our lead compound (SRB107) performs substantially better than semaglutide for effects on blood glucose and weight loss, which may be jointly attributable to its biased agonist action and protracted pharmacokinetics. Thirdly, we show that biased agonist-specific GLP-1R internalization profiles occur at clinically relevant pharmacological concentrations. Finally, we show that SRB107 cAMP signalling is differentially modulated by single and double GLP1R coding variants seen in human populations, with implications for GLP-1R agonist pharmacogenomics. CONCLUSIONS Completely abolishing β-arrestin recruitment improves the anti-hyperglycaemic effects of GLP-1R agonists in mice.
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Affiliation(s)
- Charlotte E Hinds
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, UK
| | - Ellie Peace
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, UK
| | - Shiqian Chen
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, UK
| | - Iona Davies
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, UK
| | - Liliane El Eid
- Section of Cell Biology, Imperial College London, London, UK
| | - Alejandra Tomas
- Section of Cell Biology, Imperial College London, London, UK
| | - Tricia Tan
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, UK
| | - James Minnion
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, UK
| | - Ben Jones
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, UK
| | - Stephen R Bloom
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, UK
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Melchiorsen JU, Sørensen KV, Bork-Jensen J, Kizilkaya HS, Gasbjerg LS, Hauser AS, Rungby J, Sørensen HT, Vaag A, Nielsen JS, Pedersen O, Linneberg A, Hartmann B, Gjesing AP, Holst JJ, Hansen T, Rosenkilde MM, Grarup N. Rare Heterozygous Loss-of-Function Variants in the Human GLP-1 Receptor Are Not Associated With Cardiometabolic Phenotypes. J Clin Endocrinol Metab 2023; 108:2821-2833. [PMID: 37235780 PMCID: PMC10584003 DOI: 10.1210/clinem/dgad290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 05/04/2023] [Accepted: 05/22/2023] [Indexed: 05/28/2023]
Abstract
CONTEXT Lost glucagon-like peptide 1 receptor (GLP-1R) function affects human physiology. OBJECTIVE This work aimed to identify coding nonsynonymous GLP1R variants in Danish individuals to link their in vitro phenotypes and clinical phenotypic associations. METHODS We sequenced GLP1R in 8642 Danish individuals with type 2 diabetes or normal glucose tolerance and examined the ability of nonsynonymous variants to bind GLP-1 and to signal in transfected cells via cyclic adenosine monophosphate (cAMP) formation and β-arrestin recruitment. We performed a cross-sectional study between the burden of loss-of-signaling (LoS) variants and cardiometabolic phenotypes in 2930 patients with type 2 diabetes and 5712 participants in a population-based cohort. Furthermore, we studied the association between cardiometabolic phenotypes and the burden of the LoS variants and 60 partly overlapping predicted loss-of-function (pLoF) GLP1R variants found in 330 566 unrelated White exome-sequenced participants in the UK Biobank cohort. RESULTS We identified 36 nonsynonymous variants in GLP1R, of which 10 had a statistically significant loss in GLP-1-induced cAMP signaling compared to wild-type. However, no association was observed between the LoS variants and type 2 diabetes, although LoS variant carriers had a minor increased fasting plasma glucose level. Moreover, pLoF variants from the UK Biobank also did not reveal substantial cardiometabolic associations, despite a small effect on glycated hemoglobin A1c. CONCLUSION Since no homozygous LoS nor pLoF variants were identified and heterozygous carriers had similar cardiometabolic phenotype as noncarriers, we conclude that GLP-1R may be of particular importance in human physiology, due to a potential evolutionary intolerance of harmful homozygous GLP1R variants.
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Affiliation(s)
- Josefine U Melchiorsen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Kimmie V Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Hüsün S Kizilkaya
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Lærke S Gasbjerg
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Alexander S Hauser
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Jørgen Rungby
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University, Aarhus 8800, Denmark
- Department of Epidemiology, Boston University, Boston, MA 02118, USA
| | - Allan Vaag
- Steno Diabetes Center Copenhagen, Herlev Hospital, Herlev 2730, Denmark
| | - Jens S Nielsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense 5000, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, Hellerup 2900, Denmark
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Center for Clinical Research and Prevention, Copenhagen University Hospital—Bispebjerg and Frederiksberg, Frederiksberg 2000, Denmark
| | - Bolette Hartmann
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Anette P Gjesing
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Jens J Holst
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Mette M Rosenkilde
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
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Taylor SI, Montasser ME, Yuen AH, Fan H, Yazdi ZS, Whitlatch HB, Mitchell BD, Shuldiner AR, Muniyappa R, Streeten EA, Beitelshees AL. Acute pharmacodynamic responses to exenatide: Drug-induced increases in insulin secretion and glucose effectiveness. Diabetes Obes Metab 2023; 25:2586-2594. [PMID: 37264484 PMCID: PMC10524849 DOI: 10.1111/dom.15143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/02/2023] [Accepted: 05/10/2023] [Indexed: 06/03/2023]
Abstract
AIM Glucagon-like peptide-1 receptor agonists provide multiple benefits to patients with type 2 diabetes, including improved glycaemic control, weight loss and decreased risk of major adverse cardiovascular events. Because drug responses vary among individuals, we initiated investigations to identify genetic variants associated with the magnitude of drug responses. METHODS Exenatide (5 μg, subcutaneously) or saline (0.2 ml, subcutaneously) was administered to 62 healthy volunteers. Frequently sampled intravenous glucose tolerance tests were conducted to assess the impact of exenatide on insulin secretion and insulin action. This pilot study was a crossover design in which participants received exenatide and saline in random order. RESULTS Exenatide increased first phase insulin secretion 1.9-fold (p = 1.9 × 10-9 ) and accelerated the rate of glucose disappearance 2.4-fold (p = 2 × 10-10 ). Minimal model analysis showed that exenatide increased glucose effectiveness (Sg ) by 32% (p = .0008) but did not significantly affect insulin sensitivity (Si ). The exenatide-induced increase in insulin secretion made the largest contribution to interindividual variation in exenatide-induced acceleration of glucose disappearance while interindividual variation in the drug effect on Sg contributed to a lesser extent (β = 0.58 or 0.27, respectively). CONCLUSIONS This pilot study provides validation for the value of a frequently sampled intravenous glucose tolerance test (including minimal model analysis) to provide primary data for our ongoing pharmacogenomic study of pharmacodynamic effects of semaglutide (NCT05071898). Three endpoints provide quantitative assessments of the effects of glucagon-like peptide-1 receptor agonists on glucose metabolism: first phase insulin secretion, glucose disappearance rates and glucose effectiveness.
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Affiliation(s)
- Simeon I. Taylor
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - May E. Montasser
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Ashley H. Yuen
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Hubert Fan
- Diabetes, Endocrinology, and Obesity Branch, National institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Zhinoosossadat Shahidzadeh Yazdi
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Hilary B. Whitlatch
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Braxton D. Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Alan R. Shuldiner
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Ranganath Muniyappa
- Diabetes, Endocrinology, and Obesity Branch, National institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Elizabeth A. Streeten
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Amber L. Beitelshees
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
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Taylor SI, Montasser ME, Yuen AH, Fan H, Yazdi ZS, Whitlatch HB, Mitchell BD, Shuldiner AR, Muniyappa R, Streeten EA, Beitelshees AL. Acute pharmacodynamic responses to exenatide: Drug-induced increases in insulin secretion and glucose effectiveness. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.15.23287166. [PMID: 36993363 PMCID: PMC10055582 DOI: 10.1101/2023.03.15.23287166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Background GLP1R agonists provide multiple benefits to patients with type 2 diabetes - including improved glycemic control, weight loss, and decreased risk of major adverse cardiovascular events. Because drug responses vary among individuals, we initiated investigations to identify genetic variants associated with the magnitude of drug responses. Methods Exenatide (5 µg, sc) or saline (0.2 mL, sc) was administered to 62 healthy volunteers. Frequently sampled intravenous glucose tolerance tests were conducted to assess the impact of exenatide on insulin secretion and insulin action. This pilot study was designed as a crossover study in which participants received exenatide and saline in random order. Results Exenatide increased first phase insulin secretion 1.9-fold (p=1.9×10 -9 ) and accelerated the rate of glucose disappearance 2.4-fold (p=2×10 -10 ). Minimal model analysis demonstrated that exenatide increased glucose effectiveness (S g ) by 32% (p=0.0008) but did not significantly affect insulin sensitivity (S i ). The exenatide-induced increase in insulin secretion made the largest contribution to inter-individual variation in exenatide-induced acceleration of glucose disappearance while inter-individual variation in the drug effect on S g contributed to a lesser extent (β=0.58 or 0.27, respectively). Conclusions This pilot study provides validation for the value of an FSIGT (including minimal model analysis) to provide primary data for our ongoing pharmacogenomic study of pharmacodynamic effects of semaglutide ( NCT05071898 ). Three endpoints provide quantitative assessments of GLP1R agonists' effects on glucose metabolism: first phase insulin secretion, glucose disappearance rates, and glucose effectiveness. Registration NCT02462421 (clinicaltrials.gov). Funding American Diabetes Association (1-16-ICTS-112); National Institute of Diabetes and Digestive and Kidney Disease (R01DK130238, T32DK098107, P30DK072488).
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Affiliation(s)
- Simeon I. Taylor
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - May E. Montasser
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Ashley H. Yuen
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Hubert Fan
- Diabetes, Endocrinology, and Obesity Branch, National institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Zhinoosossadat Shahidzadeh Yazdi
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Hilary B. Whitlatch
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Braxton D. Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Alan R. Shuldiner
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Ranganath Muniyappa
- Diabetes, Endocrinology, and Obesity Branch, National institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Elizabeth A. Streeten
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Amber L. Beitelshees
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
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Dorsey-Trevino EG, Kaur V, Mercader JM, Florez JC, Leong A. Association of GLP1R Polymorphisms With the Incretin Response. J Clin Endocrinol Metab 2022; 107:2580-2588. [PMID: 35723666 PMCID: PMC9387717 DOI: 10.1210/clinem/dgac374] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Polymorphisms in the gene encoding the glucagon-like peptide-1 receptor (GLP1R) are associated with type 2 diabetes but their effects on incretin levels remain unclear. OBJECTIVE We evaluated the physiologic and hormonal effects of GLP1R genotypes before and after interventions that influence glucose physiology. DESIGN Pharmacogenetic study conducted at 3 academic centers in Boston, Massachusetts. PARTICIPANTS A total of 868 antidiabetic drug-naïve participants with type 2 diabetes or at risk for developing diabetes. INTERVENTIONS We analyzed 5 variants within GLP1R (rs761387, rs10305423, rs10305441, rs742762, and rs10305492) and recorded biochemical data during a 5-mg glipizide challenge and a 75-g oral glucose tolerance test (OGTT) following 4 doses of metformin 500 mg over 2 days. MAIN OUTCOMES We used an additive mixed-effects model to evaluate the association of these variants with glucose, insulin, and incretin levels over multiple timepoints during the OGTT. RESULTS During the OGTT, the G-risk allele at rs761387 was associated with higher total GLP-1 (2.61 pmol/L; 95% CI, 1.0.72-4.50), active GLP-1 (2.61 pmol/L; 95% CI, 0.04-5.18), and a trend toward higher glucose (3.63; 95% CI, -0.16 to 7.42 mg/dL) per allele but was not associated with insulin. During the glipizide challenge, the G allele was associated with higher insulin levels per allele (2.01 IU/mL; 95% CI, 0.26-3.76). The other variants were not associated with any of the outcomes tested. CONCLUSIONS GLP1R variation is associated with differences in GLP-1 levels following an OGTT load despite no differences in insulin levels, highlighting altered incretin signaling as a potential mechanism by which GLP1R variation affects T2D risk.
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Affiliation(s)
- Edgar G Dorsey-Trevino
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Varinderpal Kaur
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Josep M Mercader
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jose C Florez
- Correspondence: Jose C. Florez, MD, PhD, Endocrine Division and Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Richard B. Simches Research Center, 185 Cambridge St, CPZN 5.250, Boston, MA 02114, USA.
| | - Aaron Leong
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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Abdul-Maksoud RS, Elsayed WSH, Rashad NM, Elsayed RS, Elshorbagy S, Hamed MG. GLP-1R polymorphism (rs1042044) and expression are associated with the risk of papillary thyroid cancer among the Egyptian population. Gene X 2022; 834:146597. [PMID: 35598685 DOI: 10.1016/j.gene.2022.146597] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/26/2022] [Accepted: 05/16/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Glucagon like peptide-1 receptor (GLP-1R) agonist usage has previously been linked to an elevated incidence of thyroid cell adenomas and carcinomas in animals. AIM The goal of this study was to determine if there was an association between GLP-1R gene polymorphism and expression with the risk of papillary thyroid carcinoma (PTC) and its clinical characteristics among the Egyptian population. MATERIAL AND METHODS A total of eighty PTC patients and eighty healthy controls were included in the study. Real-time polymerase chain reaction (real-time PCR) and immunohistochemistry were used to determine GLP-1R expression in tumor tissue. The polymorphisms rs1042044 and rs6923761 in the GLP-1R gene were determined using PCR -restriction fragment length polymorphism (PCR-RFLP). RESULTS PTC patients exhibited considerably greater frequencies of rs1042044 AA genotypes and A allele than controls (OR (95% CI) = 4.5 (1.75-11.8), P < 0.001; OR (95% CI) = 2.032 (1.301-3.17), P < 0.001 respectively). GLP-1R mRNA and protein expressions were higher in tumor samples than normal thyroid tissues among PTC patients. In addition, high GLP-1R expressions were more common in rs1042044 AA genotype carriers than CC carriers (P < 0.001). GLP-1R mRNA expression showed 95 % sensitivity and 97% specificity for PTC diagnosis. Moreover, GLP-1R expression was closely associated with LN metastasis, tumor size, tumor stage, and multifocality in PTC patients. CONCLUSION This research provides new evidence linking the GLP-1R genetic polymorphism and tissue expression to PTC risk and invasiveness among the Egyptian population.
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Affiliation(s)
- Rehab S Abdul-Maksoud
- Medical Biochemistry Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
| | - Walid S H Elsayed
- Pathology Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Nearmeen M Rashad
- Internal Medicine Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Rasha S Elsayed
- General Surgery Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Shereen Elshorbagy
- Medical Oncology Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Mohamed G Hamed
- Internal Medicine Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
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Guccio N, Gribble FM, Reimann F. Glucose-Dependent Insulinotropic Polypeptide-A Postprandial Hormone with Unharnessed Metabolic Potential. Annu Rev Nutr 2022; 42:21-44. [PMID: 35609956 DOI: 10.1146/annurev-nutr-062320-113625] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Glucose-dependent insulinotropic polypeptide (GIP) is released from the upper small intestine in response to food intake and contributes to the postprandial control of nutrient disposition, including of sugars and fats. Long neglected as a potential therapeutic target, the GIPR axis has received increasing interest recently, with the emerging data demonstrating the metabolically favorable outcomes of adding GIPR agonism to GLP-1 receptor agonists in people with type 2 diabetes and obesity. This review examines the physiology of the GIP axis, from the mechanisms underlying GIP secretion from the intestine to its action on target tissues and therapeutic development. Expected final online publication date for the Annual Review of Nutrition, Volume 42 is August 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Nunzio Guccio
- MRC Metabolic Diseases Unit, Wellcome Trust/MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom; ,
| | - Fiona M Gribble
- MRC Metabolic Diseases Unit, Wellcome Trust/MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom; ,
| | - Frank Reimann
- MRC Metabolic Diseases Unit, Wellcome Trust/MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom; ,
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Yang X, Feng P, Ji R, Ren Y, Wei W, Hölscher C. Therapeutic application of GLP-1 and GIP receptor agonists in Parkinson's disease. Expert Opin Ther Targets 2022; 26:445-460. [PMID: 35584372 DOI: 10.1080/14728222.2022.2079492] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Diabetes is a risk factor for Parkinson's disease (PD) and shares similar dysregulated insulin pathways. Glucagon-like peptide-1 (GLP-1) analogs originally designed to treat diabetes have shown potent neuroprotective activity in preclinical studies of PD. They are neuroprotective by inhibiting inflammation, improving neuronal survival, maintenance of synapses, and dopaminergic transmission in the brain. Building on this, three clinical studies have reported impressive effects in patients with PD, testing exendin-4 (Exenatide, Bydureon) or liraglutide (Victoza, Saxenda). Glucose-dependent insulinotropic peptide (GIP) is another peptide hormone that has shown good effects in animal models of PD. Novel dual GLP-1/GIP agonists have been developed that can penetrate the blood-brain barrier (BBB) and show superior effects in animal models compared to GLP-1 drugs. AREAS COVERED The review summarizes preclinical and clinical studies testing GLP-1R agonists and dual GLP-1/GIPR agonists in PD and discusses possible mechanisms of action. EXPERT OPINION Current strategies to treat PD by lowering the levels of alpha-synuclein have not shown effects in clinical trials. It is time to move on from the 'misfolding protein' hypothesis. Growth factors such as GLP-1 that can cross the BBB have already shown impressive effects in patients and are the future of drug discovery in PD.
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Affiliation(s)
- Xiaoyan Yang
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, No. 221 West Yan' an Road, Shanghai, China
| | - Peng Feng
- Department of Neurology, The Second Affiliated Hospital of Shanxi Medical University, No. 382 Wuyi Road, Taiyuan, 030001, Shanxi Province, China
| | - Rong Ji
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, No. 221 West Yan' an Road, Shanghai, China
| | - Yiqing Ren
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, No. 221 West Yan' an Road, Shanghai, China
| | - Wenshi Wei
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, No. 221 West Yan' an Road, Shanghai, China
| | - Christian Hölscher
- Department of Neurology, The Second Affiliated Hospital of Shanxi Medical University, No. 382 Wuyi Road, Taiyuan, 030001, Shanxi Province, China.,Academy of Chinese Medical Science, Henan University of Traditional Chinese Medicine, No. 233 Zhongyuan Road, Zhengzhou, China
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10
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Yang X, Qiang Q, Li N, Feng P, Wei W, Hölscher C. Neuroprotective Mechanisms of Glucagon-Like Peptide-1-Based Therapies in Ischemic Stroke: An Update Based on Preclinical Research. Front Neurol 2022; 13:844697. [PMID: 35370875 PMCID: PMC8964641 DOI: 10.3389/fneur.2022.844697] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/16/2022] [Indexed: 12/16/2022] Open
Abstract
The public and social health burdens of ischemic stroke have been increasing worldwide. Hyperglycemia leads to a greater risk of stroke. This increased risk is commonly seen among patients with diabetes and is in connection with worsened clinical conditions and higher mortality in patients with acute ischemic stroke (AIS). Therapy for stroke focuses mainly on restoring cerebral blood flow (CBF) and ameliorating neurological impairment caused by stroke. Although choices of stroke treatment remain limited, much advance have been achieved in assisting patients in recovering from ischemic stroke, along with progress of recanalization therapy through pharmacological and mechanical thrombolysis. However, it is still necessary to develop neuroprotective therapies for AIS to protect the brain against injury before and during reperfusion, prolong the time window for intervention, and consequently improve neurological prognosis. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are broadly regarded as effective drugs in the treatment of type 2 diabetes mellitus (T2DM). Preclinical data on GLP-1 and GLP-1 RAs have displayed an impressive neuroprotective efficacy in stroke, Parkinson's disease (PD), Alzheimer's disease (AD), Amyotrophic lateral sclerosis (ALS), and other neurodegenerative diseases. Based on the preclinical studies in the past decade, we review recent progress in the biological roles of GLP-1 and GLP-1 RAs in ischemic stroke. Emphasis will be placed on their neuroprotective effects in experimental models of cerebral ischemia stroke at cellular and molecular levels.
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Affiliation(s)
- Xiaoyan Yang
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Qiang Qiang
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Nan Li
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Peng Feng
- Department of Neurology, The Second Affiliated Hospital of Shanxi Medical University, Taiyuan, China
| | - Wenshi Wei
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Christian Hölscher
- Department of Neurology, The Second Affiliated Hospital of Shanxi Medical University, Taiyuan, China.,Henan University of Chinese Medicine, Academy of Chinese Medical Science, Zhengzhou, China
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11
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Zhang L, He J, Sun X, Pang D, Hu J, Feng B. GIPR rs10423928 and bone mineral density in postmenopausal women in Shanghai. Endocr Connect 2022; 11:e210583. [PMID: 35029542 PMCID: PMC8859963 DOI: 10.1530/ec-21-0583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/14/2022] [Indexed: 11/08/2022]
Abstract
We demonstrated previously that there is a correlation between glucagon-like peptide-1 (GLP-1) single-nucleotide polymorphism (SNP) and bone mineral density in postmenopausal women. Both GLP-1 and glucose-dependent insulinotropic peptide are incretins. The glucose-dependent insulinotropic peptide receptor (GIPR) SNP rs10423928 has been extensively studied. However, it is not clear whether GIPR gene mutations affect bone metabolism. The aim of this study was to investigate the association between rs10423928 and bone mineral density in postmenopausal women in Shanghai. rs10423928 was detected in 884 postmenopausal women in Shanghai, and the correlation between the GIPR SNP and bone mineral density was assessed. The dominant T/T genotype of rs10423928 was found to be related to the bone mineral density of the femoral neck (P = 0.035). Overall, our findings indicate that the dominant T/T genotype of rs10423928 in postmenopausal women is significantly associated with a higher bone mineral density and that the T/T genotype exerts a bone-protective effect.
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Affiliation(s)
- Lizhi Zhang
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of Endocrinology, Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinwei He
- Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Xiang Sun
- Shanghai Institute of Technology, Shanghai, China
| | - Dongyue Pang
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jingjing Hu
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Bo Feng
- Department of Endocrinology, Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Correspondence should be addressed to B Feng:
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12
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Michałowska J, Miller-Kasprzak E, Seraszek-Jaros A, Mostowska A, Bogdański P. Association of GLP1R variants rs2268641 and rs6923761 with obesity and other metabolic parameters in a Polish cohort. Front Endocrinol (Lausanne) 2022; 13:1000185. [PMID: 36339410 PMCID: PMC9626533 DOI: 10.3389/fendo.2022.1000185] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 09/29/2022] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION Obesity is a complex disease associated with excessive fat accumulation and numerous metabolic complications. So far, many factors leading to the development of this disorder have been identified, including genetic susceptibility. Various studies linked GLP1R variants with anthropometric and metabolic parameters, suggesting the role of the variation in this gene in metabolic health. OBJECTIVE The aim of this study is to investigate the association of two single nucleotide variants of GLP1R gene, rs2268641 and rs6923761, with excessive weight, metabolic syndrome, anthropometric measurements and selected metabolic parameters. METHODS Normal-weight subjects (n= 340, control group) and subjects with excessive body mass (n = 600, study group) participated in this study. For all participants, anthropometric measurements and metabolic parameters were collected, and genotyping of the two single nucleotide variants of GLP1R gene, rs2268641 and rs6923761, was performed using the high-resolution melting curve analysis. RESULTS Significant differences in the genotype distribution of rs2268641 were found, where homozygous TT genotype was significantly less frequent in the study group with excessive body mass (OR=0.66; p=0.0298). For rs6923761, A allele and homozygous AA genotype were significantly more frequent in the study group with excessive weight than in the control group (OR=1.27; p=0.0239 and OR=1.69; p=0.0205, respectively). The association of studied variants with metabolic parameters was found for rs6923761. For this variant, AA carriers had higher body mass in comparison to GG carriers (p=0.0246), and AA carriers had higher glucose concentration in comparison to AG carriers (p=0.0498). We did not find an association of rs2268641 and rs6923761 with metabolic syndrome. CONCLUSION In our study, AA carriers of rs6923761 had higher risk of excessive body mass, whereas TT carriers of rs2268641 had lower risk of being overweight. Moreover, homozygous carriers of the minor allele of rs6923761 had higher glucose concentration in comparison to heterozygous subjects. None of the studied variants were associated with metabolic syndrome in the studied population.
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Affiliation(s)
- Joanna Michałowska
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, Poznan, Poland
- *Correspondence: Joanna Michałowska,
| | - Ewa Miller-Kasprzak
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, Poznan, Poland
| | - Agnieszka Seraszek-Jaros
- Department of Bioinformatics and Computational Biology, Poznan University of Medical Sciences, Poznan, Poland
| | - Adrianna Mostowska
- Department of Biochemistry and Molecular Biology, Poznan University of Medical Sciences, Poznan, Poland
| | - Paweł Bogdański
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, Poznan, Poland
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13
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Liu T, Ji RL, Tao YX. Naturally occurring mutations in G protein-coupled receptors associated with obesity and type 2 diabetes mellitus. Pharmacol Ther 2021; 234:108044. [PMID: 34822948 DOI: 10.1016/j.pharmthera.2021.108044] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/15/2021] [Accepted: 11/15/2021] [Indexed: 12/12/2022]
Abstract
G protein-coupled receptors (GPCRs) are the largest family of membrane receptors involved in the regulation of almost all known physiological processes. Dysfunctions of GPCR-mediated signaling have been shown to cause various diseases. The prevalence of obesity and type 2 diabetes mellitus (T2DM), two strongly associated disorders, is increasing worldwide, with tremendous economical and health burden. New safer and more efficacious drugs are required for successful weight reduction and T2DM treatment. Multiple GPCRs are involved in the regulation of energy and glucose homeostasis. Mutations in these GPCRs contribute to the development and progression of obesity and T2DM. Therefore, these receptors can be therapeutic targets for obesity and T2DM. Indeed some of these receptors, such as melanocortin-4 receptor and glucagon-like peptide 1 receptor, have provided important new drugs for treating obesity and T2DM. This review will focus on the naturally occurring mutations of several GPCRs associated with obesity and T2DM, especially incorporating recent large genomic data and insights from structure-function studies, providing leads for future investigations.
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Affiliation(s)
- Ting Liu
- Department of Anatomy, Physiology and Pharmacology, Auburn University College of Veterinary Medicine, Auburn, AL 36849, United States
| | - Ren-Lei Ji
- Department of Anatomy, Physiology and Pharmacology, Auburn University College of Veterinary Medicine, Auburn, AL 36849, United States
| | - Ya-Xiong Tao
- Department of Anatomy, Physiology and Pharmacology, Auburn University College of Veterinary Medicine, Auburn, AL 36849, United States.
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14
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Kizilkaya HS, Sørensen KV, Kibsgaard CJ, Gasbjerg LS, Hauser AS, Sparre-Ulrich AH, Grarup N, Rosenkilde MM. Loss of Function Glucose-Dependent Insulinotropic Polypeptide Receptor Variants Are Associated With Alterations in BMI, Bone Strength and Cardiovascular Outcomes. Front Cell Dev Biol 2021; 9:749607. [PMID: 34760890 PMCID: PMC8573201 DOI: 10.3389/fcell.2021.749607] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/16/2021] [Indexed: 12/25/2022] Open
Abstract
Glucose-dependent insulinotropic polypeptide (GIP) and its receptor (GIPR) are involved in multiple physiological systems related to glucose metabolism, bone homeostasis and fat deposition. Recent research has surprisingly indicated that both agonists and antagonists of GIPR may be useful in the treatment of obesity and type 2 diabetes, as both result in weight loss when combined with GLP-1 receptor activation. To understand the receptor signaling related with weight loss, we examined the pharmacological properties of two rare missense GIPR variants, R190Q (rs139215588) and E288G (rs143430880) linked to lower body mass index (BMI) in carriers. At the molecular and cellular level, both variants displayed reduced G protein coupling, impaired arrestin recruitment and internalization, despite maintained high GIP affinity. The physiological phenotyping revealed an overall impaired bone strength, increased systolic blood pressure, altered lipid profile, altered fat distribution combined with increased body impedance in human carriers, thereby substantiating the role of GIP in these physiological processes.
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Affiliation(s)
- Hüsün Sheyma Kizilkaya
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kimmie Vestergaard Sørensen
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Camilla J Kibsgaard
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Laerke Smidt Gasbjerg
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alexander S Hauser
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Alexander Hovard Sparre-Ulrich
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Antag Therapeutics ApS, Copenhagen, Denmark
| | - Niels Grarup
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Mette M Rosenkilde
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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15
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Mashayekhi M, Wilson JR, Jafarian-Kerman S, Nian H, Yu C, Shuey MM, Luther JM, Brown NJ. Association of a glucagon-like peptide-1 receptor gene variant with glucose response to a mixed meal. Diabetes Obes Metab 2021; 23:281-286. [PMID: 33001556 PMCID: PMC8142152 DOI: 10.1111/dom.14216] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/09/2020] [Accepted: 09/25/2020] [Indexed: 11/27/2022]
Abstract
Dipeptidyl peptidase-4 (DPP-4) inhibitors increase endogenous glucagon-like peptide-1 (GLP-1). We hypothesized that genetic variation in the gene encoding the GLP-1 receptor (GLP1R) could affect the metabolic response to DPP-4 inhibition. To evaluate the relationship between the GLP1R rs6923761 variant (G-to-A nucleic acid substitution) and metabolic responses, we performed mixed meal studies in individuals with type 2 diabetes mellitus and hypertension after 7-day treatment with placebo and the DPP-4 inhibitor sitagliptin. This analysis is a substudy of NCT02130687. The genotype frequency was 13:12:7 GG:GA:AA among individuals of European ancestry. Postprandial glucose excursion was significantly decreased in individuals carrying the rs6923761 variant (GA or AA) as compared with GG individuals during both placebo (P = 0.001) and sitagliptin treatment (P = 0.045), while intact GLP-1 levels were similar among the genotype groups. In contrast, sitagliptin lowered postprandial glucose to a greater degree in GG as compared with GA/AA individuals (P = 0.035). The relationship between GLP1R rs6923761 genotype and therapies that modulate GLP-1 signalling merits study in large populations.
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Affiliation(s)
- Mona Mashayekhi
- Division of Endocrinology, Diabetes, and Metabolism, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jessica R. Wilson
- Division of Endocrinology, Diabetes and Metabolism, University of Pennsylvania Department of Medicine, Philadelphia, Pennsylvania
| | - Scott Jafarian-Kerman
- Division of Applied Regulatory Science, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Hui Nian
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Chang Yu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Megan M. Shuey
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - James M. Luther
- Division of Clinical Pharmacology, Vanderbilt Department of Medicine, Nashville, Tennessee
| | - Nancy J. Brown
- Division of Clinical Pharmacology, Vanderbilt Department of Medicine, Nashville, Tennessee
- Yale School of Medicine, New Haven, Connecticut
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16
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Killion EA, Chen M, Falsey JR, Sivits G, Hager T, Atangan L, Helmering J, Lee J, Li H, Wu B, Cheng Y, Véniant MM, Lloyd DJ. Chronic glucose-dependent insulinotropic polypeptide receptor (GIPR) agonism desensitizes adipocyte GIPR activity mimicking functional GIPR antagonism. Nat Commun 2020; 11:4981. [PMID: 33020469 PMCID: PMC7536395 DOI: 10.1038/s41467-020-18751-8] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 09/09/2020] [Indexed: 12/30/2022] Open
Abstract
Antagonism or agonism of the glucose-dependent insulinotropic polypeptide (GIP) receptor (GIPR) prevents weight gain and leads to dramatic weight loss in combination with glucagon-like peptide-1 receptor agonists in preclinical models. Based on the genetic evidence supporting GIPR antagonism, we previously developed a mouse anti-murine GIPR antibody (muGIPR-Ab) that protected diet-induced obese (DIO) mice against body weight gain and improved multiple metabolic parameters. This work reconciles the similar preclinical body weight effects of GIPR antagonists and agonists in vivo, and here we show that chronic GIPR agonism desensitizes GIPR activity in primary adipocytes, both differentiated in vitro and adipose tissue in vivo, and functions like a GIPR antagonist. Additionally, GIPR activity in adipocytes is partially responsible for muGIPR-Ab to prevent weight gain in DIO mice, demonstrating a role of adipocyte GIPR in the regulation of adiposity in vivo.
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Affiliation(s)
- Elizabeth A Killion
- Amgen Research, Department of Cardiometabolic Disorders, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Michelle Chen
- Amgen Research, Department of Cardiometabolic Disorders, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - James R Falsey
- Amgen Research, Department of Selection and Modality Engineering, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Glenn Sivits
- Amgen Research, Department of Cardiometabolic Disorders, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Todd Hager
- Amgen Research, Department of Translational Safety & Bioanalytical Sciences, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Larissa Atangan
- Amgen Research, Department of Cardiometabolic Disorders, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Joan Helmering
- Amgen Research, Department of Cardiometabolic Disorders, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Jae Lee
- Amgen Research, Department of Cardiometabolic Disorders, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Hongyan Li
- Amgen Research, Department of Translational Safety & Bioanalytical Sciences, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Bin Wu
- Amgen Research, Department of Selection and Modality Engineering, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Yuan Cheng
- Amgen Research, Department of Selection and Modality Engineering, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - Murielle M Véniant
- Amgen Research, Department of Cardiometabolic Disorders, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA
| | - David J Lloyd
- Amgen Research, Department of Cardiometabolic Disorders, Amgen Inc., One Amgen Center Dr, Thousand Oaks, CA, 91320, USA.
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17
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Li W, Li P, Li R, Yu Z, Sun X, Ji G, Yang X, Zhu L, Zhu S. GLP1R Single-Nucleotide Polymorphisms rs3765467 and rs10305492 Affect β Cell Insulin Secretory Capacity and Apoptosis Through GLP-1. DNA Cell Biol 2020; 39:1700-1710. [PMID: 32721233 DOI: 10.1089/dna.2020.5424] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The increased secretion of glucagon-like peptide-1 (GLP-1) after Roux-en-Y gastric bypass (RYGB) is regarded as the main reason for the improvement of blood glucose. However, the single-nucleotide polymorphisms (SNPs) of GLP-1 Receptor (GLP1R) impair receptor function, subsequently affecting β cell insulin secretion function, ultimately affecting the efficacy of RYGB. In this study, we revealed that two SNPs in GLP1R gene, rs3765467 and rs10305492, could significantly reduce the insulin secreted by β cells and the cyclic AMP concentration, whereas promote β cell apoptosis. Under high glucose exposure, rs3765467 and rs10305492 impaired β cell secretion of insulin and β cell viability in the same way; in other words, GLP1R rs3765467 and rs10305492 exert an effect on pancreatic β cell glucose-stimulated insulin secretion. Moreover, GLP-1 antagonist Exendin (9-39) further enhanced, whereas GLP-1 agonist Exendin-4 partially attenuated the effects of SNPs on the functions and apoptosis of β cells. In conclusion, the rs3765467 and rs10305492 SNPs in GLP1R show to exert a critical effect on regulating insulin secretory capacity of β cells and β cell mass. Through leading to the dysfunction and apoptosis of β cells, GLP1R rs3765467 and rs10305492 might also impair GLP-1 interaction with GLP1R, therefore attenuating the therapeutic effect of RYGB.
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Affiliation(s)
- Weizheng Li
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
| | - Pengzhou Li
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
| | - Rao Li
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
| | - Zhaomei Yu
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
| | - Xulong Sun
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
| | - Guangnian Ji
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
| | - Xiangwu Yang
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
| | - Liyong Zhu
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
| | - Shaihong Zhu
- Department of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China
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18
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Gobron B, Bouvard B, Vyavahare S, Blom LV, Pedersen KK, Windeløv JA, Boer GA, Harada N, Zhang S, Shimazu-Kuwahara S, Wice B, Inagaki N, Legrand E, Flatt PR, Chappard D, Hartmann B, Holst JJ, Rosenkilde MM, Irwin N, Mabilleau G. Enteroendocrine K Cells Exert Complementary Effects to Control Bone Quality and Mass in Mice. J Bone Miner Res 2020; 35:1363-1374. [PMID: 32155286 DOI: 10.1002/jbmr.4004] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 02/27/2020] [Accepted: 03/04/2020] [Indexed: 12/11/2022]
Abstract
The involvement of a gut-bone axis in controlling bone physiology has been long suspected, although the exact mechanisms are unclear. We explored whether glucose-dependent insulinotropic polypeptide (GIP)-producing enteroendocrine K cells were involved in this process. The bone phenotype of transgenic mouse models lacking GIP secretion (GIP-GFP-KI) or enteroendocrine K cells (GIP-DT) was investigated. Mice deficient in GIP secretion exhibited lower bone strength, trabecular bone mass, trabecular number, and cortical thickness, notably due to higher bone resorption. Alterations of microstructure, modifications of bone compositional parameters, represented by lower collagen cross-linking, were also apparent. None of these alterations were observed in GIP-DT mice lacking enteroendocrine K cells, suggesting that another K-cell secretory product acts to counteract GIP action. To assess this, stable analogues of the known K-cell peptide hormones, xenin and GIP, were administered to mature NIH Swiss male mice. Both were capable of modulating bone strength mostly by altering bone microstructure, bone gene expression, and bone compositional parameters. However, the two molecules exhibited opposite actions on bone physiology, with evidence that xenin effects are mediated indirectly, possibly via neural networks. Our data highlight a previously unknown interaction between GIP and xenin, which both moderate gut-bone connectivity. © 2020 American Society for Bone and Mineral Research.
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Affiliation(s)
- Benoît Gobron
- Groupe Études Remodelage Osseux et Biomatériaux, GEROM, SFR 42-08, Université d'Angers, Institut de Biologie en Santé, CHU d'Angers, Angers, France.,Service de Rhumatologie, CHU d'Angers, Angers, France
| | - Béatrice Bouvard
- Groupe Études Remodelage Osseux et Biomatériaux, GEROM, SFR 42-08, Université d'Angers, Institut de Biologie en Santé, CHU d'Angers, Angers, France.,Service de Rhumatologie, CHU d'Angers, Angers, France
| | - Sagar Vyavahare
- School of Biomedical Sciences, University of Ulster, Coleraine, UK
| | - Liv Vv Blom
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristian K Pedersen
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Johanne A Windeløv
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Geke A Boer
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Norio Harada
- Department of Diabetes, Endocrinology, and Nutrition, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Sheng Zhang
- Department of Internal Medicine, Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, Saint Louis, MO, USA
| | - Satoko Shimazu-Kuwahara
- Department of Diabetes, Endocrinology, and Nutrition, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Burton Wice
- Department of Internal Medicine, Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, Saint Louis, MO, USA
| | - Nobuya Inagaki
- Department of Diabetes, Endocrinology, and Nutrition, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Erick Legrand
- Groupe Études Remodelage Osseux et Biomatériaux, GEROM, SFR 42-08, Université d'Angers, Institut de Biologie en Santé, CHU d'Angers, Angers, France.,Service de Rhumatologie, CHU d'Angers, Angers, France
| | - Peter R Flatt
- School of Biomedical Sciences, University of Ulster, Coleraine, UK
| | - Daniel Chappard
- Groupe Études Remodelage Osseux et Biomatériaux, GEROM, SFR 42-08, Université d'Angers, Institut de Biologie en Santé, CHU d'Angers, Angers, France.,Service Commun D'imageries et d'Analyses Microscopiques, SCIAM, SFR 42-08, Université d'Angers, Institut de Biologie en Santé, CHU d'Angers, Angers, France.,Bone Pathology Unit, CHU d'Angers, Angers, France
| | - Bolette Hartmann
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Jens J Holst
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Mette M Rosenkilde
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nigel Irwin
- School of Biomedical Sciences, University of Ulster, Coleraine, UK
| | - Guillaume Mabilleau
- Groupe Études Remodelage Osseux et Biomatériaux, GEROM, SFR 42-08, Université d'Angers, Institut de Biologie en Santé, CHU d'Angers, Angers, France.,Service Commun D'imageries et d'Analyses Microscopiques, SCIAM, SFR 42-08, Université d'Angers, Institut de Biologie en Santé, CHU d'Angers, Angers, France.,Bone Pathology Unit, CHU d'Angers, Angers, France
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19
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Holst JJ, Rosenkilde MM. Recent advances of GIP and future horizons. Peptides 2020; 125:170230. [PMID: 31838219 DOI: 10.1016/j.peptides.2019.170230] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/04/2019] [Accepted: 12/05/2019] [Indexed: 12/12/2022]
Abstract
Recently GIP-GLP-1 co-agonists with powerful effects on glycemic control and body weight in patients with type 2 diabetes have been described. While such effects are the expected ones from a glucagonlike peptide-1 receptor agonist, similar contributions from the GIP component of the co-agonist would be surprising and contrast to the existing literature. Conventionally, GIP is thought of as an important incretin hormone regulating postprandial insulin secretion in glucose tolerant individuals, but such effects are weak or absent in patients with type 2 diabetes, and GIP has been proposed to an obesity-promoting hormone, rather than the opposite. Recent studies with a GIP receptor antagonist suitable for human studies have confirmed these concepts regarding the actions of endogenous GIP and point to potential beneficial metabolic effects of GIP receptor antagonists rather than agonist in the treatment of obesity and type 2 diabetes. So how is it possible that apparently similar results can be obtained with GIP receptor agonists and antagonists? Maybe the explanation should be sought in GIP receptor dynamics, where the agonists clearly elicit beta-arrestin mediated receptor internalization, rendering the target tissues unresponsive, whereas antagonists block the internalization and increase receptor expression on the cell surfaces. This may explain that both antagonists and agonists show efficacy in obesity and type 2 diabetes.
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Affiliation(s)
- Jens Juul Holst
- Department of Biomedical Sciences, Faculty of Health Sciences, The Panum Institute, University of Copenhagen, Denmark; NNF Center for Basic Metabolic Research, Faculty of Health Sciences, The Panum Institute, University of Copenhagen, Denmark.
| | - Mette Marie Rosenkilde
- Department of Biomedical Sciences, Faculty of Health Sciences, The Panum Institute, University of Copenhagen, Denmark.
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Killion EA, Lu SC, Fort M, Yamada Y, Véniant MM, Lloyd DJ. Glucose-Dependent Insulinotropic Polypeptide Receptor Therapies for the Treatment of Obesity, Do Agonists = Antagonists? Endocr Rev 2020; 41:5568102. [PMID: 31511854 DOI: 10.1210/endrev/bnz002] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 09/03/2019] [Indexed: 12/19/2022]
Abstract
Glucose-dependent insulinotropic polypeptide receptor (GIPR) is associated with obesity in human genome-wide association studies. Similarly, mouse genetic studies indicate that loss of function alleles and glucose-dependent insulinotropic polypeptide overexpression both protect from high-fat diet-induced weight gain. Together, these data provide compelling evidence to develop therapies targeting GIPR for the treatment of obesity. Further, both antagonists and agonists alone prevent weight gain, but result in remarkable weight loss when codosed or molecularly combined with glucagon-like peptide-1 analogs preclinically. Here, we review the current literature on GIPR, including biology, human and mouse genetics, and pharmacology of both agonists and antagonists, discussing the similarities and differences between the 2 approaches. Despite opposite approaches being investigated preclinically and clinically, there may be viability of both agonists and antagonists for the treatment of obesity, and we expect this area to continue to evolve with new clinical data and molecular and pharmacological analyses of GIPR function.
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Affiliation(s)
- Elizabeth A Killion
- Department of Cardiometabolic Disorders, Amgen Research, Thousand Oaks, California
| | - Shu-Chen Lu
- Department of Cardiometabolic Disorders, Amgen Research, Thousand Oaks, California
| | - Madeline Fort
- Department of Comparative Biology and Safety Sciences, Amgen Research, Thousand Oaks, California
| | - Yuichiro Yamada
- Department of Endocrinology, Diabetes and Geriatric Medicine, Akita University Graduate School of Medicine, Akita, Japan
| | - Murielle M Véniant
- Department of Cardiometabolic Disorders, Amgen Research, Thousand Oaks, California
| | - David J Lloyd
- Department of Cardiometabolic Disorders, Amgen Research, Thousand Oaks, California
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21
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Gabe MBN, van der Velden WJC, Gadgaard S, Smit FX, Hartmann B, Bräuner-Osborne H, Rosenkilde MM. Enhanced agonist residence time, internalization rate and signalling of the GIP receptor variant [E354Q] facilitate receptor desensitization and long-term impairment of the GIP system. Basic Clin Pharmacol Toxicol 2019; 126 Suppl 6:122-132. [PMID: 31299132 PMCID: PMC7317972 DOI: 10.1111/bcpt.13289] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 07/03/2019] [Indexed: 12/21/2022]
Abstract
In patients with type 2 diabetes mellitus (T2DM), the insulinotropic action of the GIP system is desensitized, whereas this is not the case for the GLP‐1 system. This has raised an interesting discussion of whether GIP agonists or antagonists are most suitable for future treatment of T2DM together with GLP‐1‐based therapies. Homozygous carriers of the GIP receptor (GIPR) variant, [E354Q], display lower bone mineral density, increased bone fracture risk and slightly increased blood glucose. Here, we present an in‐depth molecular pharmacological phenotyping of GIPR‐[E354Q]. In silico modelling suggested similar interaction of the endogenous agonist GIP(1‐42) to [E354Q] as to GIPR wt. This was supported by homologous competition binding in COS‐7 cells revealing GIPR wt‐like affinities of GIP(1‐42) with Kd values of ~2 nmol/L and wt‐like agonist association rates (Kon). In contrast, the dissociation rates (Koff) were slower, resulting in 25% higher agonist residence time for GIPR‐[E354Q]. Moreover, in Gαs signalling (cAMP production) GIP(1‐42) was ~2‐fold more potent and more efficacious on GIPR‐[E354Q] compared to wt with 17.5% higher basal activity. No difference from GIPR wt was found in the recruitment of β‐arrestin 2, whereas the agonist‐induced internalization rate was 2.1‐ to 2.3‐fold faster for [E354Q]. Together with the previously described impaired recycling of [E354Q], our findings with enhanced signalling and internalization rate possibly explained by an altered ligand‐binding kinetics will lead to receptor desensitization and down‐regulation. This could explain the long‐term functional impairment of the GIP system in bone metabolism and blood sugar maintenance for [E354Q] carriers and may shed light on the desensitization of the insulinotropic action of GIP in patients with T2DM.
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Affiliation(s)
- Maria Buur Nordskov Gabe
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Wijnand J C van der Velden
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sarina Gadgaard
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Florent Xavier Smit
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bolette Hartmann
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Hans Bräuner-Osborne
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Marie Rosenkilde
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Jacobi SF, Khajavi N, Kleinau G, Teumer A, Scheerer P, Homuth G, Völzke H, Wiegand S, Kühnen P, Krude H, Gong M, Raile K, Biebermann H. Evaluation of a rare glucose-dependent insulinotropic polypeptide receptor variant in a patient with diabetes. Diabetes Obes Metab 2019; 21:1168-1176. [PMID: 30784161 DOI: 10.1111/dom.13634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 12/23/2018] [Accepted: 01/04/2019] [Indexed: 12/14/2022]
Abstract
AIMS Glucose-dependent insulinotropic polypeptide (GIP) is an incretin hormone that augments insulin secretion in pancreatic β-cells via its glucose-dependent insulinotropic polypeptide receptor (GIPR). Recent genome-wide association studies identified a single nucleotide variant (SNV) in the GIPR encoding gene (GIPR), rs1800437, that is associated with obesity and insulin resistance. In the present study, we tested whether GIPR variants contribute to obesity and disturb glucose homeostasis or diabetes in specific patient populations. MATERIALS AND METHODS Exon sequencing of GIPR was performed in 164 children with obesity and insulin resistance and in 80 children with paediatric-onset diabetes of unknown origin. The Study of Health in Pomerania (SHIP) cohort, comprising 8320 adults, was screened for the GIPR variant Arg217Leu. GIPR variants were expressed in COS-7 cells and cAMP production was measured upon stimulation with GIP. Cell surface expression was determined by ELISA. Protein homology modelling of the GIPR variants was performed to extract three-dimensional information of the receptor. RESULTS A heterozygous missense GIPR variant Arg217Leu (rs200485112) was identified in a patient of Asian ancestry. Functional characterization of Arg217Leu revealed reduced surface expression and signalling after GIP challenge. The homology model of the GIPR structure supports the observed functional relevance of Arg217Leu. CONCLUSION In vitro functional studies and protein homology modelling indicate a potential relevance of the GIPR variant Arg217Leu in receptor function. The heterozygous variant displayed partial co-segregation with diabetes. Based on these findings, we suggest that GIPR variants may play a role in disturbed glucose homeostasis and may be of clinical relevance in homozygous patients.
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Affiliation(s)
- Simon F Jacobi
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Institute of Experimental Pediatric Endocrinology, Berlin, Germany
- University Heart Center Freiburg-Bad Krozingen, Department of Congenital Heart Disease and Pediatric Cardiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Noushafarin Khajavi
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Institute of Experimental Pediatric Endocrinology, Berlin, Germany
| | - Gunnar Kleinau
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Institute of Experimental Pediatric Endocrinology, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Institut für Medizinische Physik und Biophysik, Group Protein X-ray Crystallography and Signal Transduction, Berlin, Germany
| | - Alexander Teumer
- Department SHIP/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Patrick Scheerer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Institut für Medizinische Physik und Biophysik, Group Protein X-ray Crystallography and Signal Transduction, Berlin, Germany
| | - Georg Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine, University Greifswald, Greifswald, Germany
| | - Henry Völzke
- Department SHIP/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Diabetes Research (DZD), Site Greifswald, Greifswald, Germany
| | - Susanna Wiegand
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Institute of Experimental Pediatric Endocrinology, Berlin, Germany
| | - Peter Kühnen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Institute of Experimental Pediatric Endocrinology, Berlin, Germany
| | - Heiko Krude
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Institute of Experimental Pediatric Endocrinology, Berlin, Germany
| | - Maolian Gong
- Experimental and Clinical Research Center (ECRC), a joint collaboration of Charité and Max-Delbrück-Center of Molecular Medicine, Berlin, Germany
| | - Klemens Raile
- Experimental and Clinical Research Center (ECRC), a joint collaboration of Charité and Max-Delbrück-Center of Molecular Medicine, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Department of Paediatric Endocrinology and Diabetology, Berlin, Germany
| | - Heike Biebermann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Institute of Experimental Pediatric Endocrinology, Berlin, Germany
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23
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Mannino GC, Andreozzi F, Sesti G. Pharmacogenetics of type 2 diabetes mellitus, the route toward tailored medicine. Diabetes Metab Res Rev 2019; 35:e3109. [PMID: 30515958 PMCID: PMC6590177 DOI: 10.1002/dmrr.3109] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 11/27/2018] [Accepted: 11/30/2018] [Indexed: 12/11/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is a chronic disease that has reached the levels of a global epidemic. In order to achieve optimal glucose control, it is often necessary to rely on combination therapy of multiple drugs or insulin because uncontrolled glucose levels result in T2DM progression and enhanced risk of complications and mortality. Several antihyperglycemic agents have been developed over time, and T2DM pharmacotherapy should be prescribed based on suitability for the individual patient's characteristics. Pharmacogenetics is the branch of genetics that investigates how our genome influences individual responses to drugs, therapeutic outcomes, and incidence of adverse effects. In this review, we evaluated the pharmacogenetic evidences currently available in the literature, and we identified the top informative genetic variants associated with response to the most common anti-diabetic drugs: metformin, DPP-4 inhibitors/GLP1R agonists, thiazolidinediones, and sulfonylureas/meglitinides. Overall, we found 40 polymorphisms for each drug class in a total of 71 loci, and we examined the possibility of encouraging genetic screening of these variants/loci in order to critically implement decision-making about the therapeutic approach through precision medicine strategies. It is possible then to anticipate that when the clinical practice will take advantage of the genetic information of the diabetic patients, this will provide a useful resource for the prevention of T2DM progression, enabling the identification of the precise drug that is most likely to be effective and safe for each patient and the reduction of the economic impact on a global scale.
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Affiliation(s)
- Gaia Chiara Mannino
- Department of Medical and Surgical SciencesUniversity Magna Graecia of CatanzaroCatanzaroItaly
| | - Francesco Andreozzi
- Department of Medical and Surgical SciencesUniversity Magna Graecia of CatanzaroCatanzaroItaly
| | - Giorgio Sesti
- Department of Medical and Surgical SciencesUniversity Magna Graecia of CatanzaroCatanzaroItaly
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24
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Mabilleau G, Gobron B, Bouvard B, Chappard D. Incretin-based therapy for the treatment of bone fragility in diabetes mellitus. Peptides 2018; 100:108-113. [PMID: 29412811 DOI: 10.1016/j.peptides.2017.12.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 12/06/2017] [Accepted: 12/07/2017] [Indexed: 12/23/2022]
Abstract
Bone fractures are common comorbidities of type 2 diabetes mellitus (T2DM). Bone fracture incidence seems to develop due to increased risk of falls, poor bone quality and/or anti-diabetic medications. Previously, a relation between gut hormones and bone has been suspected. Most recent evidences suggest indeed that two gut hormones, namely glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1), may control bone remodeling and quality. The GIP receptor is expressed in bone cells and knockout of either GIP or its receptor induces severe bone quality alterations. Similar alterations are also encountered in GLP-1 receptor knock-out animals associated with abnormal osteoclast resorption. Some GLP-1 receptor agonist (GLP-1RA) have been approved for the treatment of type 2 diabetes mellitus and although clinical trials may not have been designed to investigate bone fracture, first results suggest that GLP-1RA may not exacerbate abnormal bone quality observed in T2DM. The recent design of double and triple gut hormone agonists may also represent a suitable alternative for restoring compromised bone quality observed in T2DM. However, although most of these new molecules demonstrated weight loss action, little is known on their bone safety. The present review summarizes the most recent findings on peptide-based incretin therapy and bone physiology.
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Affiliation(s)
- Guillaume Mabilleau
- GEROM-LHEA UPRES EA4658, University of Angers, Institut de Biologie en Santé, Angers, France; SCIAM, University of Angers, Institut de Biologie en Santé, Angers, France; Bone Pathology Unit, Angers University Hospital, Angers, France.
| | - Benoît Gobron
- GEROM-LHEA UPRES EA4658, University of Angers, Institut de Biologie en Santé, Angers, France; Rheumatology Department, Angers University Hospital, Angers, France
| | - Béatrice Bouvard
- GEROM-LHEA UPRES EA4658, University of Angers, Institut de Biologie en Santé, Angers, France; Rheumatology Department, Angers University Hospital, Angers, France
| | - Daniel Chappard
- GEROM-LHEA UPRES EA4658, University of Angers, Institut de Biologie en Santé, Angers, France; SCIAM, University of Angers, Institut de Biologie en Santé, Angers, France; Bone Pathology Unit, Angers University Hospital, Angers, France
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25
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rs6923761 gene variant in glucagon-like peptide 1 receptor: Allelic frequencies and influence on cardiovascular risk factors in a multicenter study of Castilla-Leon. Clin Nutr 2017; 37:2144-2148. [PMID: 29128339 DOI: 10.1016/j.clnu.2017.10.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Revised: 10/18/2017] [Accepted: 10/21/2017] [Indexed: 11/23/2022]
Abstract
BACKGROUND Some GLP-1 receptor studies have identified polymorphisms in the GLP-1 receptor gene that might be related to different cardiovascular risk factors. OBJECTIVE Our aim was to investigate the allelic distribution of rs6923761 GLP-1 receptor polymorphism in a geographic area of Spain (Community of Castilla y Leon) and to evaluate the influence of this polymorphism on obesity anthropometric parameters and cardiovascular risk factors in the fasted state in obese patients. DESIGN A sample of 341 obese subjects (body mass index ≥ 30 kg/m2) was analyzed. Fasting blood glucose, C-reactive protein (CRP), plasma insulin, insulin resistance (HOMA-IR), and lipid profile were determined. Anthropometric parameters, dietary intake and blood pressure were recorded. RESULTS One hundred and forty three patients (42.0%) had the genotype GG (wild-type group) and one hundred and ninety eight (58.0%) patients were A carriers: GA (164 patients, 48.1%) or AA (34 patients, 9.9%) (mutant-type group). Valladolid and Segovia health areas had the lowest percentage of wild type genotype and G allelic (than other Health Areas). Burgos Health Area had a higher percentage of wild-type genotype. In wild-type group (GG genotype), BMI (0.9 ± 1.3 kg/m2; p < 0.05), weight (3.3 ± 1.1 kg; p < 0.05), fat mass (2.5 ± 1.1 kg; p < 0.05), waist to hip ratio (0.02 ± 0.005 cm; p < 0.05), waist circumference (2.8 ± 1.1 cm; p < 0.05), triglycerides (14.4 ± 3.3 mg/dl; p < 0.05) insulin (3.1 ± 1.0 mg/dl; p < 0.05) and HOMA-IR (1.2 ± 0.9 mg/dl; p < 0.05) were higher than A allele carriers. In non A allele carriers, lower HDL cholesterol levels than A allele carriers (6.4 ± 2.3 mg/dl; p < 0.05) were found. CONCLUSION Data from our study revealed different allelic distribution in this geographic area, with better parameters (Body mass index, weight, fat mass, waist circumference, triglycerides, insulin, HOMA-IR and HDL cholesterol) in A allele carriers than in non A allele carriers.
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26
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Girada SB, Kuna RS, Bele S, Zhu Z, Chakravarthi NR, DiMarchi RD, Mitra P. Gαs regulates Glucagon-Like Peptide 1 Receptor-mediated cyclic AMP generation at Rab5 endosomal compartment. Mol Metab 2017; 6:1173-1185. [PMID: 29031718 PMCID: PMC5641683 DOI: 10.1016/j.molmet.2017.08.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 07/30/2017] [Accepted: 08/04/2017] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Upon activation, G protein coupled receptors (GPCRs) associate with heterotrimeric G proteins at the plasma membrane to initiate second messenger signaling. Subsequently, the activated receptor experiences desensitization, internalization, and recycling back to the plasma membrane, or it undergoes lysosomal degradation. Recent reports highlight specific cases of persistent cyclic AMP generation by internalized GPCRs, although the functional significance and mechanistic details remain to be defined. Cyclic AMP generation from internalized Glucagon-Like Peptide-1 Receptor (GLP-1R) has previously been reported from our laboratory. This study aimed at deciphering the molecular mechanism by which internalized GLP-R supports sustained cyclic AMP generation upon receptor activation in pancreatic beta cells. METHODS We studied the time course of cyclic AMP generation following GLP-1R activation with particular emphasis on defining the location where cyclic AMP is generated. Detection involved a novel GLP-1 conjugate coupled with immunofluorescence using specific endosomal markers. Finally, we employed co-immunoprecipitation as well as immunofluorescence to assess the protein-protein interactions that regulate GLP-1R mediated cyclic AMP generation at endosomes. RESULTS Our data reveal that prolonged association of G protein α subunit Gαs with activated GLP-1R contributed to sustained cyclic AMP generation at Rab 5 endosomal compartment. CONCLUSIONS The findings provide the mechanism of endosomal cyclic AMP generation following GLP-1R activation. We identified the specific compartment that serves as an organizing center to generate endosomal cyclic AMP by internalized activated receptor complex.
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Affiliation(s)
- Shravan Babu Girada
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telangana, 500046, India
| | - Ramya S Kuna
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telangana, 500046, India
| | - Shilpak Bele
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telangana, 500046, India
| | - Zhimeng Zhu
- Department of Chemistry, Indiana University, Bloomington, IN, USA
| | - N R Chakravarthi
- Centre for Cellular and Molecular Biology, Habsiguda, Uppal Road, Hyderabad, 500007, India
| | | | - Prasenjit Mitra
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telangana, 500046, India.
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27
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Graaf CD, Donnelly D, Wootten D, Lau J, Sexton PM, Miller LJ, Ahn JM, Liao J, Fletcher MM, Yang D, Brown AJH, Zhou C, Deng J, Wang MW. Glucagon-Like Peptide-1 and Its Class B G Protein-Coupled Receptors: A Long March to Therapeutic Successes. Pharmacol Rev 2017; 68:954-1013. [PMID: 27630114 PMCID: PMC5050443 DOI: 10.1124/pr.115.011395] [Citation(s) in RCA: 219] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The glucagon-like peptide (GLP)-1 receptor (GLP-1R) is a class B G protein-coupled receptor (GPCR) that mediates the action of GLP-1, a peptide hormone secreted from three major tissues in humans, enteroendocrine L cells in the distal intestine, α cells in the pancreas, and the central nervous system, which exerts important actions useful in the management of type 2 diabetes mellitus and obesity, including glucose homeostasis and regulation of gastric motility and food intake. Peptidic analogs of GLP-1 have been successfully developed with enhanced bioavailability and pharmacological activity. Physiologic and biochemical studies with truncated, chimeric, and mutated peptides and GLP-1R variants, together with ligand-bound crystal structures of the extracellular domain and the first three-dimensional structures of the 7-helical transmembrane domain of class B GPCRs, have provided the basis for a two-domain-binding mechanism of GLP-1 with its cognate receptor. Although efforts in discovering therapeutically viable nonpeptidic GLP-1R agonists have been hampered, small-molecule modulators offer complementary chemical tools to peptide analogs to investigate ligand-directed biased cellular signaling of GLP-1R. The integrated pharmacological and structural information of different GLP-1 analogs and homologous receptors give new insights into the molecular determinants of GLP-1R ligand selectivity and functional activity, thereby providing novel opportunities in the design and development of more efficacious agents to treat metabolic disorders.
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Affiliation(s)
- Chris de Graaf
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Dan Donnelly
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Denise Wootten
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Jesper Lau
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Patrick M Sexton
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Laurence J Miller
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Jung-Mo Ahn
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Jiayu Liao
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Madeleine M Fletcher
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Dehua Yang
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Alastair J H Brown
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Caihong Zhou
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Jiejie Deng
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
| | - Ming-Wei Wang
- Division of Medicinal Chemistry, Faculty of Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (C.d.G.); School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom (D.D.); Drug Discovery Biology Theme and Department of Pharmacology, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia (D.W., P.M.S., M.M.F.); Protein and Peptide Chemistry, Global Research, Novo Nordisk A/S, Måløv, Denmark (J.La.); Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.); Department of Chemistry and Biochemistry, University of Texas at Dallas, Richardson, Texas (J.-M.A.); Department of Bioengineering, Bourns College of Engineering, University of California at Riverside, Riverside, California (J.Li.); National Center for Drug Screening and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China (D.Y., C.Z., J.D., M.-W.W.); Heptares Therapeutics, BioPark, Welwyn Garden City, United Kingdom (A.J.H.B.); and School of Pharmacy, Fudan University, Zhangjiang High-Tech Park, Shanghai, China (M.-W.W.)
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28
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Mabilleau G. Interplay between bone and incretin hormones: A review. Morphologie 2017; 101:9-18. [PMID: 27423214 DOI: 10.1016/j.morpho.2016.06.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 06/15/2016] [Accepted: 06/16/2016] [Indexed: 06/06/2023]
Abstract
Bone is a tissue with multiple functions that is built from the molecular to anatomical levels to resist and adapt to mechanical strains. Among all the factors that might control the bone organization, a role for several gut hormones called "incretins" has been suspected. The present review summarizes the current evidences on the effects of glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) in bone physiology.
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Affiliation(s)
- G Mabilleau
- GEROM-LHEA, groupe d'études remodelage osseux et biomatériaux, institut de biologie en santé, université d'Angers, 4, rue Larrey, 49933 Angers cedex 09, France; SCIAM, institut de biologie en santé, université d'Angers, 4, rue Larrey, 49933 Angers cedex 09, France.
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29
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Javorský M, Gotthardová I, Klimčáková L, Kvapil M, Židzik J, Schroner Z, Doubravová P, Gala I, Dravecká I, Tkáč I. A missense variant in GLP1R gene is associated with the glycaemic response to treatment with gliptins. Diabetes Obes Metab 2016; 18:941-4. [PMID: 27160388 DOI: 10.1111/dom.12682] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Revised: 04/27/2016] [Accepted: 05/01/2016] [Indexed: 12/25/2022]
Abstract
Gliptins act by increasing endogenous incretin levels. Glucagon-like peptide-1 receptor (GLP1R) and glucose-dependent insulinotropic peptide receptor (GIPR) are their indirect drug targets. Variants of GLP1R and GIPR have previously been associated with the incretin effect. The aim of the present pilot study was to examine associations of the GLP1R and GIPR gene variants with the glycaemic response to gliptins. A total of 140 consecutive patients with type 2 diabetes were followed-up 6 months after initiation of gliptin treatment. GLP1R rs6923761 (Gly168Ser) and GIPR rs10423928 genotyping was performed using real-time PCR, with subsequent high-resolution melting analysis. The main study outcome was reduction in glycated haemoglobin (HbA1c) after treatment. GLP1R Gly168Ser variant was significantly associated with reduction in HbA1c in an additive model (β = -0.33, p = 0.011). The mean reduction in HbA1c in Ser/Ser homozygotes was significantly lower compared with Gly-allele carriers [0.12 ± 0.23% vs. 0.80 ± 0.09% (1.3 ± 2.5 mmol/mol vs. 8.7 ± 1.0 mmol/mol); p = 0.008]. In conclusion, GLP1R missense variant was associated with a reduced response to gliptin treatment. The genotype-related effect size of ∼0.7% (8 mmol/mol) is equal to an average effect of gliptin treatment and makes this variant a candidate for use in precision medicine.
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Affiliation(s)
- M Javorský
- Faculty of Medicine, Department of Internal Medicine 4, Šafárik University, Košice, Slovakia
- Department of Internal Medicine 4, Pasteur University Hospital, Košice, Slovakia
| | - I Gotthardová
- Faculty of Medicine, Department of Internal Medicine 4, Šafárik University, Košice, Slovakia
- Department of Internal Medicine 4, Pasteur University Hospital, Košice, Slovakia
| | - L Klimčáková
- Faculty of Medicine, Department of Internal Medicine 4, Šafárik University, Košice, Slovakia
- Faculty of Medicine, Department of Medicine Biology, Šafárik University, Košice, Slovakia
| | - M Kvapil
- Faculty of Medicine 2, Department of Medicine, Charles University, Praha, Czech Republic
- Faculty Hospital in Motol, Department of Medicine, Praha, Czech Republic
| | - J Židzik
- Faculty of Medicine, Department of Internal Medicine 4, Šafárik University, Košice, Slovakia
| | - Z Schroner
- Department of Internal Medicine 4, Pasteur University Hospital, Košice, Slovakia
| | - P Doubravová
- Faculty Hospital in Motol, Department of Medicine, Praha, Czech Republic
| | - I Gala
- Department of Internal Medicine 4, Pasteur University Hospital, Košice, Slovakia
| | - I Dravecká
- Faculty of Medicine, Department of Internal Medicine 4, Šafárik University, Košice, Slovakia
- Department of Internal Medicine 4, Pasteur University Hospital, Košice, Slovakia
| | - I Tkáč
- Faculty of Medicine, Department of Internal Medicine 4, Šafárik University, Košice, Slovakia
- Department of Internal Medicine 4, Pasteur University Hospital, Košice, Slovakia
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30
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Asalla S, Girada SB, Kuna RS, Chowdhury D, Kandagatla B, Oruganti S, Bhadra U, Bhadra MP, Kalivendi SV, Rao SP, Row A, Ibrahim A, Ghosh PP, Mitra P. Restoring Mitochondrial Function: A Small Molecule-mediated Approach to Enhance Glucose Stimulated Insulin Secretion in Cholesterol Accumulated Pancreatic beta cells. Sci Rep 2016; 6:27513. [PMID: 27282931 PMCID: PMC4901343 DOI: 10.1038/srep27513] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 05/17/2016] [Indexed: 12/20/2022] Open
Abstract
Dyslipidemia, particularly the elevated serum cholesterol levels, aggravate the pathophysiology of type 2 diabetes. In the present study we explored the relationship between fasting blood sugar and serum lipid parameters in human volunteers which revealed a significant linear effect of serum cholesterol on fasting blood glucose. Short term feeding of cholesterol enriched diet to rodent model resulted in elevated serum cholesterol levels, cholesterol accumulation in pancreatic islets and hyperinsulinemia with modest increase in plasma glucose level. To explore the mechanism, we treated cultured BRIN-BD11 pancreatic beta cells with soluble cholesterol. Our data shows that cholesterol treatment of cultured pancreatic beta cells enhances total cellular cholesterol. While one hour cholesterol exposure enhances insulin exocytosis, overnight cholesterol accumulation in cultured pancreatic beta cells affects cellular respiration, and inhibits Glucose stimulated insulin secretion. We further report that (E)-4-Chloro-2-(1-(2-(2,4,6-trichlorophenyl) hydrazono) ethyl) phenol (small molecule M1) prevents the cholesterol mediated blunting of cellular respiration and potentiates Glucose stimulated insulin secretion which was abolished in pancreatic beta cells on cholesterol accumulation.
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Affiliation(s)
- Suman Asalla
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telengana, 500046, India.,Dept. of Biochemistry, School of Life Sciences, University of Hyderabad, Gachibowli, Hyderabad, Telangana, 500046, India
| | - Shravan Babu Girada
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telengana, 500046, India
| | - Ramya S Kuna
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telengana, 500046, India
| | - Debabrata Chowdhury
- Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Telengana, Hyderabad, 500007, India
| | - Bhaskar Kandagatla
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telengana, 500046, India
| | - Srinivas Oruganti
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telengana, 500046, India
| | - Utpal Bhadra
- Center of Cellular and Molecular Biology, Habsiguda, Uppal Road, Hyderabad, 500007, India
| | - Manika Pal Bhadra
- Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Telengana, Hyderabad, 500007, India
| | - Shasi Vardhan Kalivendi
- Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Telengana, Hyderabad, 500007, India
| | - Swetha Pavani Rao
- Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Telengana, Hyderabad, 500007, India
| | - Anupama Row
- University of Hyderabad Health Center, University of Hyderabad, Gachibowli, Hyderabad, Telengana, 500046, India
| | - A Ibrahim
- Department of Biochemistry, National Institute of Nutrition, Hyderabad 500007, India
| | - Partha Pratim Ghosh
- Microsoft India (R&D) Pvt. Ltd, Gachibowli, Hyderabad, Telengana, 500032, India
| | - Prasenjit Mitra
- Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telengana, 500046, India
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31
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Scott RA, Freitag DF, Li L, Chu AY, Surendran P, Young R, Grarup N, Stancáková A, Chen Y, Varga TV, Yaghootkar H, Luan J, Zhao JH, Willems SM, Wessel J, Wang S, Maruthur N, Michailidou K, Pirie A, van der Lee SJ, Gillson C, Al Olama AA, Amouyel P, Arriola L, Arveiler D, Aviles-Olmos I, Balkau B, Barricarte A, Barroso I, Garcia SB, Bis JC, Blankenberg S, Boehnke M, Boeing H, Boerwinkle E, Borecki IB, Bork-Jensen J, Bowden S, Caldas C, Caslake M, Cupples LA, Cruchaga C, Czajkowski J, den Hoed M, Dunn JA, Earl HM, Ehret GB, Ferrannini E, Ferrieres J, Foltynie T, Ford I, Forouhi NG, Gianfagna F, Gonzalez C, Grioni S, Hiller L, Jansson JH, Jørgensen ME, Jukema JW, Kaaks R, Kee F, Kerrison ND, Key TJ, Kontto J, Kote-Jarai Z, Kraja AT, Kuulasmaa K, Kuusisto J, Linneberg A, Liu C, Marenne G, Mohlke KL, Morris AP, Muir K, Müller-Nurasyid M, Munroe PB, Navarro C, Nielsen SF, Nilsson PM, Nordestgaard BG, Packard CJ, Palli D, Panico S, Peloso GM, Perola M, Peters A, Poole CJ, Quirós JR, Rolandsson O, Sacerdote C, Salomaa V, Sánchez MJ, Sattar N, Sharp SJ, Sims R, Slimani N, Smith JA, Thompson DJ, Trompet S, Tumino R, van der A DL, van der Schouw YT, Virtamo J, Walker M, Walter K, Abraham JE, Amundadottir LT, Aponte JL, Butterworth AS, Dupuis J, Easton DF, Eeles RA, Erdmann J, Franks PW, Frayling TM, Hansen T, Howson JMM, Jørgensen T, Kooner J, Laakso M, Langenberg C, McCarthy MI, Pankow JS, Pedersen O, Riboli E, Rotter JI, Saleheen D, Samani NJ, Schunkert H, Vollenweider P, O'Rahilly S, Deloukas P, Danesh J, Goodarzi MO, Kathiresan S, Meigs JB, Ehm MG, Wareham NJ, Waterworth DM. A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci Transl Med 2016; 8:341ra76. [PMID: 27252175 PMCID: PMC5219001 DOI: 10.1126/scitranslmed.aad3744] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Accepted: 05/10/2016] [Indexed: 02/06/2023]
Abstract
Regulatory authorities have indicated that new drugs to treat type 2 diabetes (T2D) should not be associated with an unacceptable increase in cardiovascular risk. Human genetics may be able to guide development of antidiabetic therapies by predicting cardiovascular and other health endpoints. We therefore investigated the association of variants in six genes that encode drug targets for obesity or T2D with a range of metabolic traits in up to 11,806 individuals by targeted exome sequencing and follow-up in 39,979 individuals by targeted genotyping, with additional in silico follow-up in consortia. We used these data to first compare associations of variants in genes encoding drug targets with the effects of pharmacological manipulation of those targets in clinical trials. We then tested the association of those variants with disease outcomes, including coronary heart disease, to predict cardiovascular safety of these agents. A low-frequency missense variant (Ala316Thr; rs10305492) in the gene encoding glucagon-like peptide-1 receptor (GLP1R), the target of GLP1R agonists, was associated with lower fasting glucose and T2D risk, consistent with GLP1R agonist therapies. The minor allele was also associated with protection against heart disease, thus providing evidence that GLP1R agonists are not likely to be associated with an unacceptable increase in cardiovascular risk. Our results provide an encouraging signal that these agents may be associated with benefit, a question currently being addressed in randomized controlled trials. Genetic variants associated with metabolic traits and multiple disease outcomes can be used to validate therapeutic targets at an early stage in the drug development process.
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Affiliation(s)
- Robert A Scott
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
| | - Daniel F Freitag
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK. The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Li Li
- Statistical Genetics, Projects, Clinical Platforms, and Sciences (PCPS), GlaxoSmithKline, Research Triangle Park, NC 27709, USA
| | - Audrey Y Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Praveen Surendran
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Robin Young
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Alena Stancáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, FI-70211 Kuopio, Finland
| | - Yuning Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Tibor V Varga
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 Malmö, Sweden
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Jian'an Luan
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Jing Hua Zhao
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Sara M Willems
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, 3000 CE Rotterdam, Netherlands
| | - Jennifer Wessel
- Department of Epidemiology, Fairbanks School of Public Health, Indianapolis, IN 46202, USA. Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Shuai Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Nisa Maruthur
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21205, USA. Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Ailith Pirie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus University Medical Center, 3000 CA Rotterdam, Netherlands
| | - Christopher Gillson
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Ali Amin Al Olama
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Philippe Amouyel
- University of Lille, INSERM, Centre Hospitalier Régional Universitaire de Lille, Institut Pasteur de Lille, UMR 1167, RID-AGE, F-59000 Lille, France
| | - Larraitz Arriola
- Public Health Division of Gipuzkoa, San Sebastian 20013, Spain. Instituto BIO-Donostia, Basque Government, San Sebastian 20014, Spain. CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Dominique Arveiler
- Department of Epidemiology and Public Health (EA3430), University of Strasbourg, 67085 Strasbourg, France
| | - Iciar Aviles-Olmos
- Sobell Department of Motor Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK
| | - Beverley Balkau
- INSERM, Centre de Recherche en Epidémiologie et Santé des Populations (CESP), 94807 Villejuif, France. Univeristy of Paris-Sud, F-94805 Villejuif, France
| | - Aurelio Barricarte
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain. Navarre Public Health Institute (ISPN), Pamplona 31003, Spain
| | - Inês Barroso
- The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK. University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Sara Benlloch Garcia
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Stefan Blankenberg
- Department of General and Interventional Cardiology, University Heart Center Hamburg, 20246 Hamburg, Germany
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109-2029, USA
| | - Heiner Boeing
- German Institute of Human Nutrition, Potsdam-Rehbruecke, 14558 Nuthetal, Germany
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77025, USA. Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ingrid B Borecki
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Jette Bork-Jensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Sarah Bowden
- Cancer Research UK Clinical Trials Unit, Institute for Cancer Studies, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge CB2 0RE, UK
| | | | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA. Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), Framingham, MA 01702-5827, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jacek Czajkowski
- Division of Statistical Genomics, Department of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Marcel den Hoed
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, SE-752 37 Uppsala, Sweden
| | - Janet A Dunn
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK
| | - Helena M Earl
- University of Cambridge and National Institute of Health Research Cambridge Biomedical Research Centre, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, UK
| | - Georg B Ehret
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Ele Ferrannini
- Consiglio Nazionale delle Ricerche (CNR), Institute of Clinical Physiology, 56124 Pisa, Italy
| | - Jean Ferrieres
- Department of Epidemiology, UMR 1027, INSERM, Centre Hospitalier Universitaire (CHU) de Toulouse, 31000 Toulouse, France
| | - Thomas Foltynie
- Sobell Department of Motor Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK
| | - Ian Ford
- University of Glasgow, Glasgow G12 8QQ, UK
| | - Nita G Forouhi
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Francesco Gianfagna
- Department of Clinical and Experimental Medicine, Research Centre in Epidemiology and Preventive Medicine, University of Insubria, 21100 Varese, Italy. Department of Epidemiology and Prevention, Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy
| | | | - Sara Grioni
- Epidemiology and Prevention Unit, 20133 Milan, Italy
| | - Louise Hiller
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK
| | - Jan-Håkan Jansson
- Research Unit, 931 41 Skellefteå, Sweden. Department of Public Health & Clinical Medicine, Umeå University, 901 85 Umeå, Sweden
| | - Marit E Jørgensen
- Steno Diabetes Center, 2820 Gentofte, Denmark. National Institute of Public Health, Southern Denmark University, DK-1353 Odense, Denmark
| | - J Wouter Jukema
- Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Rudolf Kaaks
- German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany
| | - Frank Kee
- UK Clinical Research Collaboration (UKCRC) Centre of Excellence for Public Health, Queen's University Belfast, Northern Ireland, Belfast BT12 6BJ, UK
| | - Nicola D Kerrison
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | | | - Jukka Kontto
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | | | - Aldi T Kraja
- Division of Statistical Genomics, Department of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Kari Kuulasmaa
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, FI-70211 Kuopio, Finland. Kuopio University Hospital, FL 70029 Kuopio, Finland
| | - Allan Linneberg
- Research Centre for Prevention and Health, Capital Region, DK-2600 Copenhagen, Denmark. Department of Clinical Experimental Research, Rigshospitalet, 2100 Glostrup, Denmark. Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Chunyu Liu
- Framingham Heart Study, Population Sciences Branch, NHLBI/National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Gaëlle Marenne
- The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599-7264, USA
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Kenneth Muir
- Centre for Epidemiology, Institute of Population Health, University of Manchester, Oxford Road, Manchester M13 9PT, UK. University of Warwick, Coventry CV4 7AL, UK
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany. Department of Medicine I, Ludwig Maximilians University Munich, 80336 Munich, Germany. DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Patricia B Munroe
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - Carmen Navarro
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain. Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia 30008, Spain
| | - Sune F Nielsen
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, 2730 Copenhagen, Denmark
| | | | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, 2730 Copenhagen, Denmark
| | | | - Domenico Palli
- Cancer Research and Prevention Institute (ISPO), 50141 Florence, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, 80131 Naples, Italy
| | - Gina M Peloso
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114, USA. Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - Markus Perola
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland. Institute of Molecular Medicine Finland (FIMM), University of Helsinki, FI-00014 Helsinki, Finland
| | - Annette Peters
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany
| | - Christopher J Poole
- University of Warwick, Coventry CV4 7AL, UK. Department of Medical Oncology, Arden Cancer Centre, University Hospital Coventry and Warwickshire, West Midlands CV2 2DX, UK
| | - J Ramón Quirós
- Public Health Directorate, 33006 Oviedo, Asturias, Spain
| | | | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Citta' della Salute e della Scienza Hospital, University of Turin, 10126 Torino, Italy. Center for Cancer Prevention (CPO), 10126 Torino, Italy. Human Genetics Foundation, 10126 Torino, Italy
| | - Veikko Salomaa
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - María-José Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain. Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada 18012, Spain
| | | | - Stephen J Sharp
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Rebecca Sims
- Institute of Psychological Medicine and Clinical Neuroscience, MRC Centre, Cardiff University, Cardiff CF24 4HQ, UK
| | - Nadia Slimani
- International Agency for Research on Cancer, 69372 Lyon, France
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109-2029, USA
| | - Deborah J Thompson
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Stella Trompet
- Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, "Civic-M.P. Arezzo" Hospital, ASP Ragusa, 97100 Ragusa, Italy
| | - Daphne L van der A
- National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, Netherlands
| | | | - Jarmo Virtamo
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Klaudia Walter
- The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Jean E Abraham
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Laufey T Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Jennifer L Aponte
- Genetics, PCPS, GlaxoSmithKline, Research Triangle Park, NC 27709, USA
| | - Adam S Butterworth
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK. Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Rosalind A Eeles
- The Institute of Cancer Research, London SM2 5NG, UK. Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey SW3 6JJ, UK
| | - Jeanette Erdmann
- Institut für Integrative und Experimentelle Genomik, Universität zu Lübeck, 23562 Lübeck, Germany
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 Malmö, Sweden. Department of Public Health & Clinical Medicine, Umeå University, 901 85 Umeå, Sweden. Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Joanna M M Howson
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Torben Jørgensen
- Research Centre for Prevention and Health, DK-2600 Capital Region, Denmark. Department of Public Health, Institute of Health Science, University of Copenhagen, 1014 Copenhagen, Denmark. Faculty of Medicine, Aalborg University, 9220 Aalborg, Denmark
| | - Jaspal Kooner
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK. Imperial College Healthcare NHS Trust, London W2 1NY, UK. Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK
| | - Markku Laakso
- Department of Medicine, University of Kuopio, FI-70211 Kuopio, Finland
| | - Claudia Langenberg
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, UK
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455-0381, USA
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Elio Riboli
- School of Public Health, Imperial College London, London W2 1PG, UK
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-University of California, Los Angeles Medical Center, Torrance, CA 90502, USA
| | - Danish Saleheen
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester LE3 9QP, UK. National Institute for Health Research, Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Heribert Schunkert
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany. Deutsches Herzzentrum München, Technische Universität München, 80636 Munich, Germany
| | - Peter Vollenweider
- Department of Internal Medicine, BH10-462, Internal Medicine, Lausanne University Hospital (CHUV), CH-1011 Lausanne, Switzerland
| | - Stephen O'Rahilly
- University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge CB2 0QQ, UK. MRC Metabolic Diseases Unit, Cambridge CB2 0QQ, UK. National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, UK
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - John Danesh
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK. The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Sekar Kathiresan
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Cardiology Division, Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - James B Meigs
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA. Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Margaret G Ehm
- Genetics, PCPS, GlaxoSmithKline, Research Triangle Park, NC 27709, USA
| | - Nicholas J Wareham
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
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Tkáč I, Gotthardová I. Pharmacogenetic aspects of the treatment of Type 2 diabetes with the incretin effect enhancers. Pharmacogenomics 2016; 17:795-804. [PMID: 27166975 DOI: 10.2217/pgs-2016-0011] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Incretin effect enhancers are drugs used in the treatment of Type 2 diabetes and include GLP-1 receptor agonists and dipeptidyl peptidase-4 inhibitors (gliptins). Variants in several genes were shown to be involved in the physiology of incretin secretion. Only two gene variants have evidence also from pharmacogenetic studies. TCF7L2 rs7903146 C>T and CTRB1/2 rs7202877 T>G minor allele carriers were both associated with a smaller reduction in HbA1c after gliptin treatment when compared with major allele carriers. After replication in further studies, these observations could be of clinical significance in helping to identify patients with potentially lower or higher response to gliptin treatment.
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Affiliation(s)
- Ivan Tkáč
- Department of Internal Medicine 4, Šafárik University, Faculty of Medicine, Rastislavova 43, 041 90 Košice, Slovakia.,Department of Internal Medicine 4, Pasteur University Hospital, Košice, Slovakia
| | - Ivana Gotthardová
- Department of Internal Medicine 4, Šafárik University, Faculty of Medicine, Rastislavova 43, 041 90 Košice, Slovakia.,Department of Internal Medicine 4, Pasteur University Hospital, Košice, Slovakia
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Finan B, Müller TD, Clemmensen C, Perez-Tilve D, DiMarchi RD, Tschöp MH. Reappraisal of GIP Pharmacology for Metabolic Diseases. Trends Mol Med 2016; 22:359-376. [DOI: 10.1016/j.molmed.2016.03.005] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 03/15/2016] [Accepted: 03/17/2016] [Indexed: 12/31/2022]
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Abstract
The incretin hormones glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) are important regulators of insulin and glucagon secretion as well as lipid metabolism and appetite. These biological functions make their respective receptors (GIPR and GLP-1R) attractive targets in the treatment of both type 2 diabetes mellitus (T2DM) and obesity. The use of these native peptides in the treatment of these conditions is limited by their short half-lives. However, long-acting GLP-1R agonists and inhibitors of the enzyme that rapidly inactivates GIP and GLP-1 (dipeptidyl peptidase IV) are in clinical use. Although there is a loss of response to both hormones in T2DM, this effect appears to be more pronounced for GIP. This has made targeting GIPR less successful than GLP-1R. Furthermore, results demonstrating that GIPR knockout mice were resistant to diet-induced obesity suggested that GIPR antagonists may prove to be useful therapeutics. More recently, molecules that activate both receptors have shown promise in terms of glycemic and body weight control. This review focused on recent advances in the understanding of the signaling mechanisms and regulation of these two clinically important receptors.
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Affiliation(s)
- Suleiman Al-Sabah
- *Dr. Suleiman Al-Sabah, Department of Pharmacology and Toxicology, Faculty of Medicine, Kuwait University, PO Box 24923, Safat 13110 (Kuwait), E-Mail
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de Luis DA, Aller R, Izaola O, Romero E. Effects of a high-protein/low-carbohydrate versus a standard hypocaloric diet on adipocytokine levels and cardiovascular risk factors during 9 months, role of rs6923761 gene variant of glucagon-like peptide 1 receptor. J Endocrinol Invest 2015; 38:1183-9. [PMID: 26015316 DOI: 10.1007/s40618-015-0304-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2014] [Accepted: 04/29/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND The role of GLP-1 R variants on body weight response after dietary intervention is unclear. OBJECTIVE The aim was to investigate the role of this polymorphism on cardiovascular risk factors, adipokine levels and weight loss secondary to a high-protein/low-carbohydrate vs. standard hypocaloric diets during 9 months. DESIGN 211 obese subjects were randomly allocated to one of these two diets for a period of 9 months; diet HP (high protein/low carbohydrate) and diet S (standard). RESULTS Ninety-four patients (44.5%) had the genotype GG (wild group) and 117 (55.5%) patients had the next genotypes; GA (89 patients, 42.2%) or AA (28 patients, 13.3%) (mutant group). With both diets and in both genotype groups, body mass index, weight, fat mass, waist circumference and systolic blood pressure decreased. Anthropometric parameters were higher in non-A allele carriers than A allele carriers. With diet HP in both genotypes, LDL cholesterol, total cholesterol, leptin, insulin levels and HOMA-R decreased. With the diet S and only in wild genotype, the same parameters decreased, too. CONCLUSION Our data showed a lack of association of rs6923761 GLP-1 R polymorphism with weight loss. Better anthropometric parameters in obese subjects with the mutant allele (A) of rs6923761 GLP-1 R polymorphism were observed. Total cholesterol, LDL cholesterol, insulin levels and HOMA-R decreased in all patients with both diets, although A allele carriers treated with standard diet did not show these changes.
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Affiliation(s)
- D A de Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Nutrition, Hospital Clinico Universitario, University of Valladolid, C/Los Perales 16, 47130, Simancas, Valladolid, Spain.
| | - R Aller
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Nutrition, Hospital Clinico Universitario, University of Valladolid, C/Los Perales 16, 47130, Simancas, Valladolid, Spain
| | - O Izaola
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Nutrition, Hospital Clinico Universitario, University of Valladolid, C/Los Perales 16, 47130, Simancas, Valladolid, Spain
| | - E Romero
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Nutrition, Hospital Clinico Universitario, University of Valladolid, C/Los Perales 16, 47130, Simancas, Valladolid, Spain
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Functional elements of the gastric inhibitory polypeptide receptor: Comparison between secretin- and rhodopsin-like G protein-coupled receptors. Biochem Pharmacol 2015; 96:237-46. [PMID: 26043830 DOI: 10.1016/j.bcp.2015.05.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 05/28/2015] [Indexed: 12/25/2022]
Abstract
Innovative crystallographic techniques have resulted in an exponential growth in the number of solved G-protein coupled receptor (GPCR) structures and a better understanding of the mechanisms of class A receptor activation and G protein binding. The recent release of the type 1 receptor for the corticotropin-releasing factor and the glucagon receptor structures, two members of the secretin-like family, gives the opportunity to understand these mechanisms of activation in this family of GPCRs. Here, we addressed the comparison of the functional elements of class A and secretin-like GPCRs, using the glucose-dependent insulinotropic polypeptide receptor (GIPR) as a model receptor. Inactive and active models of GIPR permitted to select, by structural homology with class A GPCRs, several residues that may form key interactions presumably involved in receptor activation and Gs coupling, for pharmacological evaluation. Mutants on these amino acids were expressed in HEKT 293 cells and characterized in terms of GIP-induced cAMP production. We identified various functional domains spanning from the peptide-binding to the G protein pockets: including: a network linking the extracellular part of transmembrane (TM) 6 with TMs 2 and 7; a polar lock that resembles the ionic-lock in class A GPCRs; an interaction between TMs 3 and 7 that favors activation; and two clusters of polar/charged and of hydrophobic residues that interact with the C-terminus of the Gα. The results show that despite the low degree of sequence similarity between rhodopsin- and secretin-like GPCRs, the two families share conserved elements in their mechanisms of activation and G protein binding.
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Incretins and bone: friend or foe? Curr Opin Pharmacol 2015; 22:72-8. [DOI: 10.1016/j.coph.2015.03.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2014] [Revised: 03/26/2015] [Accepted: 03/31/2015] [Indexed: 12/25/2022]
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de Luis DA, Diaz Soto G, Izaola O, Romero E. Evaluation of weight loss and metabolic changes in diabetic patients treated with liraglutide, effect of RS 6923761 gene variant of glucagon-like peptide 1 receptor. J Diabetes Complications 2015; 29:595-8. [PMID: 25825013 DOI: 10.1016/j.jdiacomp.2015.02.010] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Revised: 02/16/2015] [Accepted: 02/19/2015] [Indexed: 01/21/2023]
Abstract
BACKGROUND A polymorphism of GLP-1 R (rs6923761) has potential implications in weight loss and metabolic control. We decide to investigate the role of this polymorphism on metabolic changes and weight loss secondary to treatment with liraglutide. MATERIAL AND METHODS A population of 90 patients with diabetes mellitus type 2 and overweight, unable to achieve glycemic control (HbA1c>7%) with metformin alone that require initiation of liraglutide treatment in progressive dose to 1.8mg/day subcutaneously, was analyzed. RESULTS Fifty one patients (56.7%) had the genotype GG and 39 (43.3%) patients; GA (30 patients, 33.3%) or AA (9 patients, 10%) (A allele carriers). In patients with both genotypes, body mass index (BMI), weight and fat decreased. The proportion of the mentioned reductions was higher in the variant allele carriers; BMI (-0.59±2.5kg/m(2) vs. -1.69±3.9kg/m(2); P<0.05), weight (-2.78±2.8kg vs. -4.52±4.6kg; P<0.05) and fat mass (-0.59±2.5kg vs. -1.69±3.9kg; P<0.05). Weight reduction after liraglutide treatment was greater in the A-allele carriers by 2.9kg (95% CI: 0.27-5.64). The decrease of basal glucose, HOMA-R and HbA1c was similar in both genotypes. CONCLUSION Our data showed better anthropometric parameters in overweight diabetic subjects with the variant allele (A) of rs6923761 GLP-1 R polymorphism. A allele carriers had a greater decrease in weight and fat mass after treatment with liraglutide. The present study is a preliminary observation, and its results need to be replicated with a higher number of patients in different populations.
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Affiliation(s)
- Daniel Antonio de Luis
- Center of Investigation of endocrinology and Nutrition, Medicine School, Department of Endocrinology and Nutrition Hospital Clinico Universitario, University of Valladolid, Valladolid Spain.
| | - Gonzalo Diaz Soto
- Center of Investigation of endocrinology and Nutrition, Medicine School, Department of Endocrinology and Nutrition Hospital Clinico Universitario, University of Valladolid, Valladolid Spain
| | - Olatz Izaola
- Center of Investigation of endocrinology and Nutrition, Medicine School, Department of Endocrinology and Nutrition Hospital Clinico Universitario, University of Valladolid, Valladolid Spain
| | - Enrique Romero
- Center of Investigation of endocrinology and Nutrition, Medicine School, Department of Endocrinology and Nutrition Hospital Clinico Universitario, University of Valladolid, Valladolid Spain
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Wessel J, Chu AY, Willems SM, Wang S, Yaghootkar H, Brody JA, Dauriz M, Hivert MF, Raghavan S, Lipovich L, Hidalgo B, Fox K, Huffman JE, An P, Lu Y, Rasmussen-Torvik LJ, Grarup N, Ehm MG, Li L, Baldridge AS, Stančáková A, Abrol R, Besse C, Boland A, Bork-Jensen J, Fornage M, Freitag DF, Garcia ME, Guo X, Hara K, Isaacs A, Jakobsdottir J, Lange LA, Layton JC, Li M, Hua Zhao J, Meidtner K, Morrison AC, Nalls MA, Peters MJ, Sabater-Lleal M, Schurmann C, Silveira A, Smith AV, Southam L, Stoiber MH, Strawbridge RJ, Taylor KD, Varga TV, Allin KH, Amin N, Aponte JL, Aung T, Barbieri C, Bihlmeyer NA, Boehnke M, Bombieri C, Bowden DW, Burns SM, Chen Y, Chen YD, Cheng CY, Correa A, Czajkowski J, Dehghan A, Ehret GB, Eiriksdottir G, Escher SA, Farmaki AE, Frånberg M, Gambaro G, Giulianini F, Goddard WA, Goel A, Gottesman O, Grove ML, Gustafsson S, Hai Y, Hallmans G, Heo J, Hoffmann P, Ikram MK, Jensen RA, Jørgensen ME, Jørgensen T, Karaleftheri M, Khor CC, Kirkpatrick A, Kraja AT, Kuusisto J, Lange EM, Lee IT, Lee WJ, Leong A, Liao J, Liu C, Liu Y, Lindgren CM, Linneberg A, Malerba G, Mamakou V, Marouli E, Maruthur NM, Matchan A, McKean-Cowdin R, McLeod O, Metcalf GA, Mohlke KL, Muzny DM, Ntalla I, Palmer ND, Pasko D, Peter A, Rayner NW, Renström F, Rice K, Sala CF, Sennblad B, Serafetinidis I, Smith JA, Soranzo N, Speliotes EK, Stahl EA, Stirrups K, Tentolouris N, Thanopoulou A, Torres M, Traglia M, Tsafantakis E, Javad S, Yanek LR, Zengini E, Becker DM, Bis JC, Brown JB, Adrienne Cupples L, Hansen T, Ingelsson E, Karter AJ, Lorenzo C, Mathias RA, Norris JM, Peloso GM, Sheu WHH, Toniolo D, Vaidya D, Varma R, Wagenknecht LE, Boeing H, Bottinger EP, Dedoussis G, Deloukas P, Ferrannini E, Franco OH, Franks PW, Gibbs RA, Gudnason V, Hamsten A, Harris TB, Hattersley AT, Hayward C, Hofman A, Jansson JH, Langenberg C, Launer LJ, Levy D, Oostra BA, O'Donnell CJ, O'Rahilly S, Padmanabhan S, Pankow JS, Polasek O, Province MA, Rich SS, Ridker PM, Rudan I, Schulze MB, Smith BH, Uitterlinden AG, Walker M, Watkins H, Wong TY, Zeggini E, Laakso M, Borecki IB, Chasman DI, Pedersen O, Psaty BM, Shyong Tai E, van Duijn CM, Wareham NJ, Waterworth DM, Boerwinkle E, Linda Kao WH, Florez JC, Loos RJ, Wilson JG, Frayling TM, Siscovick DS, Dupuis J, Rotter JI, Meigs JB, Scott RA, Goodarzi MO. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nat Commun 2015; 6:5897. [PMID: 25631608 PMCID: PMC4311266 DOI: 10.1038/ncomms6897] [Citation(s) in RCA: 153] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Accepted: 11/12/2014] [Indexed: 12/30/2022] Open
Abstract
Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
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Affiliation(s)
- Jennifer Wessel
- Department of Epidemiology, Fairbanks School of Public Health, Indianapolis, Indiana 46202, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
| | - Audrey Y Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA
- National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Sara M Willems
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0SL, UK
| | - Shuai Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
- Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Marco Dauriz
- Massachusetts General Hospital, General Medicine Division, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Verona Medical School and Hospital Trust of Verona, Verona 37126, Italy
| | - Marie-France Hivert
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts 02215, USA
- Division of Endocrinology and Metabolism, Department of Medicine, Université de Sherbrooke, Sherbrooke, Québec, Canada J1K 2R1
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Sridharan Raghavan
- Massachusetts General Hospital, General Medicine Division, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Leonard Lipovich
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA
- Department of Neurology, Wayne State University School of Medicine, Detroit, Michigan 48202, USA
| | - Bertha Hidalgo
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama 35233, USA
| | - Keolu Fox
- Department of Medicine, University of Washington, Seattle, Washington 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Jennifer E Huffman
- National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts 01702, USA
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, Scotland EH4 2XU, UK
| | - Ping An
- Division of Statistical Genomics and Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DK-2200, Denmark
| | - Margaret G Ehm
- Quantitative Sciences, PCPS, GlaxoSmithKline, North Carolina 27709, USA
| | - Li Li
- Quantitative Sciences, PCPS, GlaxoSmithKline, North Carolina 27709, USA
| | - Abigail S Baldridge
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio FI-70211, Finland
| | - Ravinder Abrol
- Department of Medicine and Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
- Materials and Process Simulation Center, California Institute of Technology, Pasadena, California 91125, USA
| | - Céline Besse
- CEA, Institut de Génomique, Centre National de Génotypage, 2 Rue Gaston Crémieux, EVRY Cedex 91057, France
| | - Anne Boland
- CEA, Institut de Génomique, Centre National de Génotypage, 2 Rue Gaston Crémieux, EVRY Cedex 91057, France
| | - Jette Bork-Jensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DK-2200, Denmark
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas 77030, USA
| | - Daniel F Freitag
- The Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Melissa E Garcia
- Intramural Research Program, National Institute on Aging, Bethesda, Maryland 21224, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90502, USA
| | - Kazuo Hara
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Aaron Isaacs
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
| | | | - Leslie A Lange
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Jill C Layton
- Indiana University, Fairbanks School of Public Health, Indianapolis, Indiana 46202, USA
| | - Man Li
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0SL, UK
| | - Karina Meidtner
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal DE-14558, Germany
| | - Alanna C Morrison
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas 77225, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, Maryland 20892, USA
| | - Marjolein J Peters
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam 2300 RC, The Netherlands
| | - Maria Sabater-Lleal
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Angela Silveira
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Albert V Smith
- Icelandic Heart Association, Holtasmari 1, Kopavogur IS-201, Iceland
- University of Iceland, Reykjavik IS-101, Iceland
| | - Lorraine Southam
- The Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
- Wellcome Trust Centre for Human Genetics, Oxford OX3 7BN, UK
| | - Marcus H Stoiber
- Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - Rona J Strawbridge
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90502, USA
| | - Tibor V Varga
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital, Malmö SE-205 02, Sweden
| | - Kristine H Allin
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DK-2200, Denmark
| | - Najaf Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
| | - Jennifer L Aponte
- Quantitative Sciences, PCPS, GlaxoSmithKline, North Carolina 27709, USA
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Caterina Barbieri
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano 20132, Italy
| | - Nathan A Bihlmeyer
- Predoctoral Training Program in Human Genetics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Maryland 21205, USA
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Cristina Bombieri
- Section of Biology and Genetics, Department of Life and Reproduction Sciences, University of Verona, Verona 37100, Italy
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Sean M Burns
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Yuning Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Yii-DerI Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90502, USA
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Office of Clinical Sciences, Duke-NUS Graduate Medical School, National University of Singapore, Singapore 169857, Singapore
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi 39216, USA
| | - Jacek Czajkowski
- Division of Statistical Genomics and Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
| | - Georg B Ehret
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
- Division of Cardiology, Geneva University Hospital Geneva 1211, Switzerland
| | | | - Stefan A Escher
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital, Malmö SE-205 02, Sweden
| | - Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Mattias Frånberg
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm SE-171 77, Sweden
- Department of Numerical Analysis and Computer Science, SciLifeLab, Stockholm University, Stockholm SE-106 91, Sweden
| | - Giovanni Gambaro
- Division of Nephrology, Department of Internal Medicine and Medical Specialties, Columbus-Gemelli University Hospital, Catholic University, Rome 00168, Italy
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA
| | - William A Goddard
- Materials and Process Simulation Center, California Institute of Technology, Pasadena, California 91125, USA
| | - Anuj Goel
- Department of Cardiovascular Medicine, The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Megan L Grove
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas 77225, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala SE-751 85, Sweden
| | - Yang Hai
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90502, USA
| | - Göran Hallmans
- Department of Biobank Research, Umeå University, Umeå SE-901 87, Sweden
| | - Jiyoung Heo
- Department of Biomedical Technology, Sangmyung University, Chungnam 330-720, Korea
| | - Per Hoffmann
- Institute of Human Genetics, Department of Genomics, Life & Brain Center, University of Bonn, Bonn DE-53127, Germany
- Human Genomics Research Group, Division of Medical Genetics, University Hospital Basel Department of Biomedicine 4031, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1) Genomic Imaging Research Center Juelich, Juelich DE-52425, Germany
| | - Mohammad K Ikram
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Office of Clinical Sciences, Duke-NUS Graduate Medical School, National University of Singapore, Singapore 169857, Singapore
- Memory Aging & Cognition Centre (MACC), National University Health System, Singapore 117599, Singapore
| | - Richard A Jensen
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
- Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | | | - Torben Jørgensen
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup DK-2600, Denmark
- Faculty of Medicine, University of Aalborg, Aalborg DK-9220, Denmark
| | | | - Chiea C Khor
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Andrea Kirkpatrick
- Materials and Process Simulation Center, California Institute of Technology, Pasadena, California 91125, USA
| | - Aldi T Kraja
- Division of Statistical Genomics and Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio FI-70211, Finland
| | - Ethan M Lange
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - I T Lee
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407, Taiwan
- School of Medicine, National Yang-Ming University, Taipei 112, Taiwan
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 407, Taiwan
| | - Aaron Leong
- Massachusetts General Hospital, General Medicine Division, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Jiemin Liao
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Chunyu Liu
- National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Yongmei Liu
- Department of Epidemiology & Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, North Carolina 27106, USA
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Allan Linneberg
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup DK-2600, Denmark
- Department of Clinical Experimental Research, Copenhagen University Hospital Glostrup, Glostrup DK-2600, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DK-2200, Denmark
| | - Giovanni Malerba
- Section of Biology and Genetics, Department of Life and Reproduction Sciences, University of Verona, Verona 37100, Italy
| | - Vasiliki Mamakou
- National and Kapodistrian University of Athens, Faculty of Medicine, Athens 115 27, Greece
- Dromokaiteio Psychiatric Hospital, Athens 124 61, Greece
| | - Eirini Marouli
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Nisa M Maruthur
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - Angela Matchan
- The Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
| | - Roberta McKean-Cowdin
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles 90033, USA
| | - Olga McLeod
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Ginger A Metcalf
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Ioanna Ntalla
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
- University of Leicester, Leicester LE1 7RH, UK
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina 27106, USA
| | - Dorota Pasko
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Andreas Peter
- Department of Internal Medicine, Division of Endocrinology, Metabolism, Pathobiochemistry and Clinical Chemistry and Institute of Diabetes Research and Metabolic Diseases, University of Tübingen, Tübingen DE-72076, Germany
- German Center for Diabetes Research (DZD), Neuherberg DE-85764, Germany
| | - Nigel W Rayner
- The Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
- Wellcome Trust Centre for Human Genetics, Oxford OX3 7BN, UK
- The Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LE, UK
| | - Frida Renström
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital, Malmö SE-205 02, Sweden
| | - Ken Rice
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
- Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA
| | - Cinzia F Sala
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano 20132, Italy
| | - Bengt Sennblad
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm SE-171 77, Sweden
- Science for Life Laboratory, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | | | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Nicole Soranzo
- The Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
- Department of Hematology, Long Road, Cambridge CB2 0XY, UK
| | - Elizabeth K Speliotes
- Department of Internal Medicine, Division of Gastroenterology and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Eli A Stahl
- Division of Psychiatric Genomics, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Kathleen Stirrups
- The Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 4NS, UK
| | - Nikos Tentolouris
- First Department of Propaedeutic and Internal Medicine, Athens University Medical School, Laiko General Hospital, Athens 11527, Greece
| | - Anastasia Thanopoulou
- Diabetes Centre, 2nd Department of Internal Medicine, National University of Athens, Hippokration General Hospital, Athens 11527, Greece
| | - Mina Torres
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles 90033, USA
| | - Michela Traglia
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano 20132, Italy
| | | | - Sundas Javad
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0SL, UK
| | - Lisa R Yanek
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Eleni Zengini
- Dromokaiteio Psychiatric Hospital, Athens 124 61, Greece
- University of Sheffield, Sheffield S10 2TN, UK
| | - Diane M Becker
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
- Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - James B Brown
- Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Department of Statistics, University of California at Berkeley, Berkeley, California 94720, USA
| | - L Adrienne Cupples
- National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DK-2200, Denmark
- Faculty of Health Science, University of Copenhagen, Copenhagen 1165, Denmark
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala SE-751 85, Sweden
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Andrew J Karter
- Division of Research, Kaiser Permanente, Northern California Region, Oakland, California 94612, USA
| | - Carlos Lorenzo
- Department of Medicine, University of Texas Health Science Center, San Antonio, Texas 77030, USA
| | - Rasika A Mathias
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado 80204, USA
| | - Gina M Peloso
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Wayne H.-H. Sheu
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407, Taiwan
- School of Medicine, National Yang-Ming University, Taipei 112, Taiwan
- College of Medicine, National Defense Medical Center, Taipei 114, Taiwan
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano 20132, Italy
| | - Dhananjay Vaidya
- The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Rohit Varma
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles 90033, USA
| | - Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27106, USA
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam Rehbrücke, Nuthetal DE-14558, Germany
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 4NS, UK
- Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah 22254, Saudi Arabia
| | | | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital, Malmö SE-205 02, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA
- Department of Public Health & Clinical Medicine, Umeå University, Umeå SE-901 87, Sweden
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Holtasmari 1, Kopavogur IS-201, Iceland
- University of Iceland, Reykjavik IS-101, Iceland
| | - Anders Hamsten
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Tamara B Harris
- Intramural Research Program, National Institute on Aging, Bethesda, Maryland 21224, USA
| | - Andrew T Hattersley
- Genetics of Diabetes, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, Scotland EH4 2XU, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
| | - Jan-Håkan Jansson
- Department of Public Health & Clinical Medicine, Umeå University, Umeå SE-901 87, Sweden
- Research Unit, Skellefteå SE-931 87, Sweden
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0SL, UK
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, Bethesda, Maryland 21224, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
- Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Ben A Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
| | - Christopher J O'Donnell
- National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts 01702, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Stephen O'Rahilly
- University of Cambridge Metabolic Research Laboratories, MRC Metabolic Diseases Unit and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 1TN, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Split 21000, Croatia
| | - Michael A Province
- Division of Statistical Genomics and Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia 22908, USA
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA
- Division of Cardiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Igor Rudan
- Centre for Population Health Sciences, Medical School, University of Edinburgh, Edinburgh, Scotland EH8 9YL, UK
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal DE-14558, Germany
- German Center for Diabetes Research (DZD), Neuherberg DE-85764, Germany
| | - Blair H Smith
- Medical Research Institute, University of Dundee, Dundee DD1 9SY, UK
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK
| | - Hugh Watkins
- Department of Cardiovascular Medicine, The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Tien Y Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore
- Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Office of Clinical Sciences, Duke-NUS Graduate Medical School, National University of Singapore, Singapore 169857, Singapore
| | | | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio FI-70211, Finland
| | - Ingrid B Borecki
- Division of Statistical Genomics and Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA
- Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DK-2200, Denmark
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington 98101, USA
- Department of Medicine, University of Washington, Seattle, Washington 98195, USA
- Department of Epidemiology, University of Washington, Seattle, Washington 98195, USA
- Department of Health Services, University of Washington, Seattle, Washington 98195, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, Washington 98195, USA
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Cornelia M van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CE, The Netherlands
- Center for Medical Systems Biology, Leiden 2300, The Netherlands
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0SL, UK
| | - Dawn M Waterworth
- Genetics, PCPS, GlaxoSmithKline, Philadelphia, Pennsylvania 19104, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas 77225, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - W H Linda Kao
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland 21205, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland 21205, USA
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - Jose C Florez
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
- The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
- The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi 38677, USA
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - David S Siscovick
- New York Academy of Medicine, New York, New York 10029, USA
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, Washington 98195, USA
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute (NHLBI) Framingham Heart Study, Framingham, Massachusetts 01702, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90502, USA
| | - James B Meigs
- Massachusetts General Hospital, General Medicine Division, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0SL, UK
| | - Mark O Goodarzi
- Department of Medicine and Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
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Koole C, Wootten D, Simms J, Miller LJ, Christopoulos A, Sexton PM. Differential impact of amino acid substitutions on critical residues of the human glucagon-like peptide-1 receptor involved in peptide activity and small-molecule allostery. J Pharmacol Exp Ther 2015; 353:52-63. [PMID: 25630467 DOI: 10.1124/jpet.114.220913] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The glucagon-like peptide-1 receptor (GLP-1R) is a class B G protein-coupled receptor that has a critical role in the regulation of glucose homeostasis, principally through the regulation of insulin secretion. The receptor system is highly complex, able to be activated by both endogenous [GLP-1(1-36)NH2, GLP-1(1-37), GLP-1(7-36)NH2, GLP-1(7-37), oxyntomodulin], and exogenous (exendin-4) peptides in addition to small-molecule allosteric agonists (compound 2 [6,7-dichloro-2-methylsulfonyl-3-tert-butylaminoquinoxaline], BETP [4-(3-benzyloxy)phenyl)-2-ethylsulfinyl-6-(trifluoromethyl)pyrimidine]). Furthermore, the GLP-1R is subject to single-nucleotide polymorphic variance, resulting in amino acid changes in the receptor protein. In this study, we investigated two polymorphic variants previously reported to impact peptide-mediated receptor activity (M149) and small-molecule allostery (C333). These residues were mutated to a series of alternate amino acids, and their functionality was monitored across physiologically significant signaling pathways, including cAMP, extracellular signal-regulated kinase 1 and 2 phosphorylation, and intracellular Ca(2+) mobilization, in addition to peptide binding and cell-surface expression. We observed that residue 149 is highly sensitive to mutation, with almost all peptide responses significantly attenuated at mutated receptors. However, most reductions in activity were able to be restored by the small-molecule allosteric agonist compound 2. Conversely, mutation of residue 333 had little impact on peptide-mediated receptor activation, but this activity could not be modulated by compound 2 to the same extent as that observed at the wild-type receptor. These results provide insight into the importance of residues 149 and 333 in peptide function and highlight the complexities of allosteric modulation within this receptor system.
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Affiliation(s)
- Cassandra Koole
- Drug Discovery Biology Laboratory, Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria, Australia (C.K., D.W., J.S., A.C., P.M.S.); and Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.)
| | - Denise Wootten
- Drug Discovery Biology Laboratory, Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria, Australia (C.K., D.W., J.S., A.C., P.M.S.); and Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.)
| | - John Simms
- Drug Discovery Biology Laboratory, Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria, Australia (C.K., D.W., J.S., A.C., P.M.S.); and Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.)
| | - Laurence J Miller
- Drug Discovery Biology Laboratory, Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria, Australia (C.K., D.W., J.S., A.C., P.M.S.); and Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.)
| | - Arthur Christopoulos
- Drug Discovery Biology Laboratory, Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria, Australia (C.K., D.W., J.S., A.C., P.M.S.); and Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.)
| | - Patrick M Sexton
- Drug Discovery Biology Laboratory, Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria, Australia (C.K., D.W., J.S., A.C., P.M.S.); and Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, Arizona (L.J.M.)
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de Luis DA, Bachiller R, Izaola O, de la Fuente B, Aller R. Relation of the rs6923761 gene variant in glucagon-like peptide 1 receptor to metabolic syndrome in obese subjects. ANNALS OF NUTRITION AND METABOLISM 2014; 65:253-8. [PMID: 25376528 DOI: 10.1159/000365295] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2014] [Accepted: 06/17/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND The role of glucagon-like peptide 1 (GLP-1) variants in metabolic syndrome (MS) and its components remains unclear in obese subjects. OBJECTIVE The aim of our study was to evaluate the relationship of rs6923761 with MS and its components in obese subjects. DESIGN A population of 1,122 obese subjects was analyzed in a cross-sectional survey. To estimate the prevalence of MS, we considered the definitions of the Adult Treatment Panel III. RESULTS Five hundred and forty-eight patients (48.8%) had the GG genotype (wild-type group), whereas 487 patients (43.4%) had the GA genotype and 87 patients (7.8%) the AA genotype. The mean age was 48.9 ± 12.8 years. The prevalence of MS was 47.4% (532 patients), and 52.6% of patients had no MS (n = 590). The odds ratio of MS for the wild-type versus the mutant genotype was 1.02, with a 95% confidence interval of 0.88-1.12. Body mass index, weight, fat mass, waist circumference, and waist to hip ratio were lower in the mutant than in the wild-type group in patients with and without MS. CONCLUSION The GLP-1 receptor variant rs6923761 was found to be associated with decreased weight and anthropometric parameters in A allele carriers with and without MS. MS or its components were not associated with this polymorphism in obese adults.
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Affiliation(s)
- Daniel Antonio de Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Nutrition, Hospital Clinico Universitario, University of Valladolid, Simancas, Spain
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de Luis DA, Pacheco D, Aller R, Izaola O. Role of the rs6923761 gene variant in glucagon-like peptide 1 receptor gene on cardiovascular risk factors and weight loss after biliopancreatic diversion surgery. ANNALS OF NUTRITION AND METABOLISM 2014; 65:259-63. [PMID: 25376673 DOI: 10.1159/000365975] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Accepted: 07/17/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND Studies of the glucagon-like peptide 1 (GLP-1) receptor (GLP-1R) have been directed at identifying polymorphisms in the GLP-1R gene that may be a contributing factor in the pathogenesis of obesity. OBJECTIVE We decided to investigate the role of the rs6923761 GLP-1R polymorphism on outcomes after biliopancreatic diversion. DESIGN A sample of 137 morbidly obese patients was operated. Weight, blood pressure, basal glucose and lipid profile were measured at the basal visit and at each following visit (basal, 3, 9, 12 and 18 months). RESULTS Body mass index, weight and waist circumference were lower in non-A allele carriers than A allele carriers 12 and 18 months after surgery. The initial weight percent loss at 12 months (45.6 vs. 39.8%; p < 0.05) or 18 months (49.6 vs. 41.3%; p < 0.05) was higher in patients with GG genotype than A allele carriers. CONCLUSION Our study showed a higher weight loss 12 and 18 months after bariatric surgery in GG variant than A allele carriers. The biochemical parameters and cardiovascular comorbidity rates improved similarly in both genotypes.
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Affiliation(s)
- Daniel Antonio de Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Unit of Investigation, Hospital Clinico Universitario, University of Valladolid, Valladolid, Spain
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de Luis DA, Aller R, Izaola O, Lopez JJ, Gomez E, Torres B, Soto GD. Effect of rs6923761 gene variant of glucagon-like peptide 1 receptor on metabolic response and weight loss after a 3-month intervention with a hypocaloric diet. J Endocrinol Invest 2014; 37:935-9. [PMID: 24972699 DOI: 10.1007/s40618-014-0117-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Accepted: 06/05/2014] [Indexed: 11/25/2022]
Abstract
BACKGROUND Studies of the GLP-1 receptor (GLP-1 R) have been directed at identifying polymorphisms in the GLP-1 R gene that may be a contributing factor in the pathogenesis of obesity and cardiovascular risk factors. Nevertheless, the role of GLP-1 R variants on body weight response after dietary intervention has not been evaluated. OBJECTIVE We decided to analyze the effects of the rs6923761 GLP-1 R polymorphism on body weight changes and metabolic parameters after 3 months of a hypocaloric diet. DESIGN A sample of 91 obese subjects was analyzed in a prospective way. The hypocaloric diet had 1,520 calories per day; 52 % of carbohydrates, 25 % of lipids and 23 % of proteins. Distribution of fats was: 50.7 % of monounsaturated fats, 38.5 % of saturated fats and 11.8 % of polyunsaturated fats. RESULTS In both genotype groups (GG vs. GA + AA), weight, body mass index, fat mass, waist circumference, systolic blood pressure, total cholesterol, LDL cholesterol, leptin, insulin and HOMA levels decreased. No statistical differences were detected in these changes between genotypes. In wild group (GG genotype) (pretreatment and posttreatment), BMI, weight, fat mass, waist circumference and triglyceride levels were higher than (GA + AA) group. CONCLUSION Our data showed better anthropometric parameters and triglyceride levels in obese subjects with the mutant allele (A) of rs6923761 GLP-1R polymorphism. A lack of association of this polymorphism with weight loss or biochemical changes after a hypocaloric diet was observed.
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Affiliation(s)
- Daniel Antonio de Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Unit of Investigation, Hospital Rio Hortega, University of Valladolid, C/Los perales 16, 47130, Simancas, Valladolid, Spain,
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Al-Sabah S, Al-Fulaij M, Shaaban G, Ahmed HA, Mann RJ, Donnelly D, Bünemann M, Krasel C. The GIP receptor displays higher basal activity than the GLP-1 receptor but does not recruit GRK2 or arrestin3 effectively. PLoS One 2014; 9:e106890. [PMID: 25191754 PMCID: PMC4156404 DOI: 10.1371/journal.pone.0106890] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Accepted: 08/03/2014] [Indexed: 12/25/2022] Open
Abstract
Background and Objectives Glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) are important regulators of insulin secretion, and their functional loss is an early characteristic of type 2 diabetes mellitus (T2DM). Pharmacological levels of GLP-1, but not GIP, can overcome this loss. GLP-1 and GIP exert their insulinotropic effects through their respective receptors expressed on pancreatic β-cells. Both the GLP-1 receptor (GLP-1R) and the GIP receptor (GIPR) are members of the secretin family of G protein-coupled receptors (GPCRs) and couple positively to adenylate cyclase. We compared the signalling properties of these two receptors to gain further insight into why GLP-1, but not GIP, remains insulinotropic in T2DM patients. Methods GLP-1R and GIPR were transiently expressed in HEK-293 cells, and basal and ligand-induced cAMP production were investigated using a cAMP-responsive luciferase reporter gene assay. Arrestin3 (Arr3) recruitment to the two receptors was investigated using enzyme fragment complementation, confocal microscopy and fluorescence resonance energy transfer (FRET). Results GIPR displayed significantly higher (P<0.05) ligand-independent activity than GLP-1R. Arr3 displayed a robust translocation to agonist-stimulated GLP-1R but not to GIPR. These observations were confirmed in FRET experiments, in which GLP-1 stimulated the recruitment of both GPCR kinase 2 (GRK2) and Arr3 to GLP-1R. These interactions were not reversed upon agonist washout. In contrast, GIP did not stimulate recruitment of either GRK2 or Arr3 to its receptor. Interestingly, arrestin remained at the plasma membrane even after prolonged (30 min) stimulation with GLP-1. Although the GLP-1R/arrestin interaction could not be reversed by agonist washout, GLP-1R and arrestin did not co-internalise, suggesting that GLP-1R is a class A receptor with regard to arrestin binding. Conclusions GIPR displays higher basal activity than GLP-1R but does not effectively recruit GRK2 or Arr3.
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Affiliation(s)
- Suleiman Al-Sabah
- Department of Pharmacology and Toxicology, Faculty of Medicine, Kuwait University, Safat, Kuwait
- * E-mail:
| | - Munya Al-Fulaij
- Department of Pharmacology and Toxicology, Faculty of Medicine, Kuwait University, Safat, Kuwait
| | - Ghina Shaaban
- Department of Pharmacology and Toxicology, Faculty of Medicine, Kuwait University, Safat, Kuwait
| | - Hanadi A. Ahmed
- Department of Pharmacology and Toxicology, Faculty of Medicine, Kuwait University, Safat, Kuwait
| | - Rosalind J. Mann
- School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom
| | - Dan Donnelly
- School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom
| | - Moritz Bünemann
- School of Pharmacy, Institute for Pharmacology and Toxicology, The Philipps University of Marburg, Marburg, Germany
| | - Cornelius Krasel
- School of Pharmacy, Institute for Pharmacology and Toxicology, The Philipps University of Marburg, Marburg, Germany
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de Luis DA, Aller R, Izaola O, Bachiller R, Pacheco D. Cardiovascular risk factors and adipocytokines levels after two hypocaloric diets with different fat distribution in obese subjects and rs6923761 gene variant of glucagon-like peptide 1 receptor. J Endocrinol Invest 2014; 37:853-9. [PMID: 24969551 DOI: 10.1007/s40618-014-0116-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2014] [Accepted: 06/05/2014] [Indexed: 11/28/2022]
Abstract
BACKGROUND The role of GLP-1 R variants on body weight response after dietary intervention is unclear. OBJECTIVE Our aim was to evaluate the effect of this polymorphism on cardiovascular risk factors, adipokine levels and weight loss secondary to a high monounsaturated fat vs. a high polyunsaturated fat hypocaloric diets in obese subjects. DESIGN 391 obese subjects were randomly allocated to one of these two diets for a period of 3 months; diet M (high monounsaturated fat hypocaloric diet) and diet P (high polyunsaturated (PUFAs) fat hypocaloric diet). RESULTS Two hundred and twelve patients (54.2 %) had the genotype GG (wild group) and 179 (45.8 %) patients had the next genotypes; GA (146 patients, 37.3 %) or AA (33 patients, 8.7 %) (Mutant group). With both diets and in wild-type and mutant-type groups, BMI, weight, fat mass, waist circumference and systolic blood pressure decreased. Anthropometric parameters were higher in non-A-allele carriers than A-allele carriers. With both diets and in both genotypes, leptin, insulin levels and HOMA decreased. With the diet P and in wild genotype, total cholesterol and LDL-cholesterol levels decreased, too. CONCLUSION Our data showed a lack of association of rs6923761 GLP-1 R polymorphism with weight loss after a high monounsaturated fat and a high polyunsaturated fat hypocaloric diets. Better anthropometric parameters in obese subjects with the mutant allele (A) of rs6923761 GLP-1 R polymorphism were observed. Insulin levels and HOMA decreased in non-A carriers.
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Affiliation(s)
- Daniel Antonio de Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Nutrition, Hospital Clinico Universitario, University of Valladolid, C/Los perales 16, Simancas, 47130, Valladolid, Spain,
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A naturally occurring GIP receptor variant undergoes enhanced agonist-induced desensitization, which impairs GIP control of adipose insulin sensitivity. Mol Cell Biol 2014; 34:3618-29. [PMID: 25047836 DOI: 10.1128/mcb.00256-14] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Glucose-dependent insulinotropic polypeptide (GIP), an incretin hormone secreted from gastrointestinal K cells in response to food intake, has an important role in the control of whole-body metabolism. GIP signals through activation of the GIP receptor (GIPR), a G-protein-coupled receptor (GPCR). Dysregulation of this pathway has been implicated in the development of metabolic disease. Here we demonstrate that GIPR is constitutively trafficked between the plasma membrane and intracellular compartments of both GIP-stimulated and unstimulated adipocytes. GIP induces a downregulation of plasma membrane GIPR by slowing GIPR recycling without affecting internalization kinetics. This transient reduction in the expression of GIPR in the plasma membrane correlates with desensitization to the effects of GIP. A naturally occurring variant of GIPR (E354Q) associated with an increased incidence of insulin resistance, type 2 diabetes, and cardiovascular disease in humans responds to GIP stimulation with an exaggerated downregulation from the plasma membrane and a delayed recovery of GIP sensitivity following cessation of GIP stimulation. This perturbation in the desensitization-resensitization cycle of the GIPR variant, revealed in studies of cultured adipocytes, may contribute to the link of the E354Q variant to metabolic disease.
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de Luis DA, Aller R, de la Fuente B, Primo D, Conde R, Izaola O, Sagrado MG. Relation of the rs6923761 gene variant in glucagon-like peptide 1 receptor with weight, cardiovascular risk factor, and serum adipokine levels in obese female subjects. J Clin Lab Anal 2014; 29:100-5. [PMID: 24687535 DOI: 10.1002/jcla.21735] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2013] [Accepted: 11/21/2013] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Studies of the glucagon-like peptide 1 (GLP-1) receptor have been directed at identifying polymorphisms in the GLP-1 receptor gene that may be a contributing factor in the pathogenesis of diabetes mellitus and cardiovascular risk factors. Nevertheless, the role of GLP-1 variants on body weight, cardiovascular risk factors, and adipokines remains unclear in obese patients. OBJECTIVE Our aim was to analyze the effects of rs6923761 GLP-1 receptor polymorphism on body weight, cardiovascular risk factors, and serum adipokine levels in nondiabetic obese females. DESIGN A sample of 645 obese nondiabetic Caucasian females was enrolled in a prospective way. Basal fasting glucose, c-reactive protein (CRP), insulin, insulin resistance (homeostasis model assessment (HOMA)), total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides concentration, and adipokines were measured. Weights, body mass index (BMI), waist circumference, fat mass by bioimpedance, and blood pressure measures were measured. RESULTS Three hundred and twenty-seven participants (50.7%) had the genotype GG and 318 (49.3%) study subjects had the next genotypes; GA (270 study subjects, 41.9%) or AA (48 study subjects, 7.4%) (second group). In wild group (GG genotype), BMI (1.8 ± 2.3 kg/m(2) ; P < 0.05), weight (3.1 ± 1.3 kg; P < 0.05), fat mass (2.4 ± 1.1 kg; P < 0.05), waist circumference (2.7 ± 1.9 cm; P < 0.05), triglyceride levels (10.4 ± 5.3 mg/dl; P < 0.05), interleukin 6 (IL-6) (1.5 ± 0.9 ng/dl; P < 0.05), resistin (1.1 ± 0.3 ng/dl; P < 0.05), and leptin (30.1 ± 10.3 ng/dl; P < 0.05) levels were higher than mutant group (GA + AA). CONCLUSION Data from our study revealed an association with decreased metabolic and cardiovascular markers in obese females. BMI weight, fat mass, waist circumference, triglycerides, leptin, resistin, and IL-6 serum levels were lower in subjects with A allele than non-A allele subjects.
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Affiliation(s)
- Daniel Antonio de Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Unit of Investigation, Hospital Rio Hortega, University of Valladolid, Valladolid, Spain
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te Welscher YM, Chinnapen DJF, Kaoutzani L, Mrsny RJ, Lencer WI. Unsaturated glycoceramides as molecular carriers for mucosal drug delivery of GLP-1. J Control Release 2013; 175:72-8. [PMID: 24370893 DOI: 10.1016/j.jconrel.2013.12.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2013] [Revised: 11/14/2013] [Accepted: 12/14/2013] [Indexed: 02/01/2023]
Abstract
The incretin hormone Glucagon-like peptide 1 (GLP-1) requires delivery by injection for the treatment of Type 2 diabetes mellitus. Here, we test if the properties of glycosphingolipid trafficking in epithelial cells can be applied to convert GLP-1 into a molecule suitable for mucosal absorption. GLP-1 was coupled to the extracellular oligosaccharide domain of GM1 species containing ceramides with different fatty acids and with minimal loss of incretin bioactivity. When applied to apical surfaces of polarized epithelial cells in monolayer culture, only GLP-1 coupled to GM1-ceramides with short- or cis-unsaturated fatty acids trafficked efficiently across the cell to the basolateral membrane by transcytosis. In vivo studies showed mucosal absorption after nasal administration. The results substantiate our recently reported dependence on ceramide structure for trafficking the GM1 across polarized epithelial cells and support the idea that specific glycosphingolipids can be harnessed as molecular vehicles for mucosal delivery of therapeutic peptides.
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Affiliation(s)
- Yvonne M te Welscher
- Division of Gastroenterology, Boston Children's Hospital, 300 Longwood Avenue, Boston 02115, USA; Harvard Medical School, 25 Shattuck St, Boston 02115, USA
| | - Daniel J-F Chinnapen
- Division of Gastroenterology, Boston Children's Hospital, 300 Longwood Avenue, Boston 02115, USA; Harvard Medical School, 25 Shattuck St, Boston 02115, USA
| | - Lydia Kaoutzani
- Division of Gastroenterology, Boston Children's Hospital, 300 Longwood Avenue, Boston 02115, USA
| | - Randall J Mrsny
- Bath University, Department of Pharmacy and Pharmacology, Claverton Down, Bath, BA2 7AY England, UK
| | - Wayne I Lencer
- Division of Gastroenterology, Boston Children's Hospital, 300 Longwood Avenue, Boston 02115, USA; Harvard Medical School, 25 Shattuck St, Boston 02115, USA; Harvard Digestive Diseases Center, 300 Longwood Avenue, Boston 02115, USA.
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Koole C, Savage EE, Christopoulos A, Miller LJ, Sexton PM, Wootten D. Minireview: Signal bias, allosterism, and polymorphic variation at the GLP-1R: implications for drug discovery. Mol Endocrinol 2013; 27:1234-44. [PMID: 23864649 DOI: 10.1210/me.2013-1116] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The glucagon-like peptide-1 receptor (GLP-1R) controls the physiological responses to the incretin hormone glucagon-like peptide-1 and is a major therapeutic target for the treatment of type 2 diabetes, owing to the broad range of effects that are mediated upon its activation. These include the promotion of glucose-dependent insulin secretion, increased insulin biosynthesis, preservation of β-cell mass, improved peripheral insulin action, and promotion of weight loss. Regulation of GLP-1R function is complex, with multiple endogenous and exogenous peptides that interact with the receptor that result in the activation of numerous downstream signaling cascades. The current understanding of GLP-1R signaling and regulation is limited, with the desired spectrum of signaling required for the ideal therapeutic outcome still to be determined. In addition, there are several single-nucleotide polymorphisms (used in this review as defining a natural change of single nucleotide in the receptor sequence; clinically, this is viewed as a single-nucleotide polymorphism only if the frequency of the mutation occurs in 1% or more of the population) distributed within the coding sequence of the receptor protein that have the potential to produce differential responses for distinct ligands. In this review, we discuss the current understanding of GLP-1R function, in particular highlighting recent advances in the field on ligand-directed signal bias, allosteric modulation, and probe dependence and the implications of these behaviors for drug discovery and development.
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Affiliation(s)
- Cassandra Koole
- Department of Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville 3052, Victoria, Australia
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Mannino GC, Sesti G. Individualized therapy for type 2 diabetes: clinical implications of pharmacogenetic data. Mol Diagn Ther 2013; 16:285-302. [PMID: 23018631 DOI: 10.1007/s40291-012-0002-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is characterized by insulin resistance, abnormally elevated hepatic glucose production, and reduced glucose-stimulated insulin secretion. Treatment with antihyperglycemic agents is initially successful in type 2 diabetes, but it is often associated with a high secondary failure rate, and the addition of insulin is eventually necessary for many patients, in order to restore acceptable glycemic control and to reduce the risk of development and progression of disease complications. Notably, even patients who appear to have similar requirements of antidiabetic regimens show great variability in drug disposition, glycemic response, tolerability, and incidence of adverse effects during treatment. Pharmacogenomics is a promising area of investigation and involves the search for genetic polymorphisms that may explain the interindividual variability in antidiabetic therapy response. The initial positive results portend that genomic efforts will be able to shed important light on variability in pharmacologic traits. In this review, we summarize the current understanding of genetic polymorphisms that may affect the responses of subjects with T2DM to antidiabetic treatment. These genes belong to three major classes: genes involved in drug metabolism and transporters that influence pharmacokinetics (including the cytochrome P450 [CYP] superfamily, the organic anion transporting polypeptide [OATP] family, and the polyspecific organic cation transporter [OCT] family); genes encoding drug targets and receptors (including peroxisome proliferator-activated receptor gamma [PPARG], the adenosine triphosphate [ATP]-sensitive potassium channel [K(ATP)], and incretin receptors); and genes involved in the causal pathway of T2DM that are able to modify the effects of drugs (including adipokines, transcription factor 7-like 2 (T cell specific, HMG-box) [TCF7L2], insulin receptor substrate 1 [IRS1], nitric oxide synthase 1 (neuronal) adaptor protein [NOS1AP], and solute carrier family 30 (zinc transporter), member 8 [SLC30A8]). In addition to these three major classes, we also review the available evidence on novel genes (CDK5 regulatory subunit associated protein 1-like 1 [CDKAL1], insulin-like growth factor 2 mRNA binding protein 2 [IGF2BP2], potassium voltage-gated channel, KQT-like subfamily, member 1 [KCNQ1], paired box 4 [PAX4] and neuronal differentiation 1 [NEUROD1] transcription factors, ataxia telangiectasia mutated [ATM], and serine racemase [SRR]) that have recently been proposed as possible modulators of therapeutic response in subjects with T2DM.
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Affiliation(s)
- Gaia Chiara Mannino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
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