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Vogrinc D, Redenšek Trampuž S, Blagus T, Trošt M, Gregorič Kramberger M, Emeršič A, Čučnik S, Goričar K, Dolžan V. Genetic variability of incretin receptors affects the occurrence of neurodegenerative diseases and their characteristics. Heliyon 2024; 10:e39157. [PMID: 39506938 PMCID: PMC11538737 DOI: 10.1016/j.heliyon.2024.e39157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 10/07/2024] [Accepted: 10/08/2024] [Indexed: 11/08/2024] Open
Abstract
Background Alzheimer's disease (AD) and Parkinson's disease (PD) are the most common neurodegenerative diseases. Their treatment options are rather limited, and no neuroprotective or disease-modifying treatments are available. Anti-diabetic drugs, such as glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) agonists, have been suggested as a potential therapeutic option. Aims Assess GLP1R and GIPR genetic variability in relation to AD- and PD-related phenotypes. Methods AD, PD patients and healthy control subjects were included in the study. Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease were measured in AD patients, while cognitive impairment was evaluated in PD. All participants were genotyped for three SNPs: GLP1R rs10305420, GLP1R rs6923761 and GIPR rs1800437. Results GLP1R rs10305420 genotypes were associated with increased odds for AD and PD development. GLP1R rs10305420 and GLP1R rs6923761 genotypes were significantly associated with Aβ42/40 ratio (p = 0.041 and p = 0.050), while GLP1R rs6923761 was also associated with p-tau levels (p = 0.022). Finally, GIPR rs1800437 heterozygotes as well as carriers of at least one GIPR rs1800437 C allele presented with increased odds for the development of dementia in PD (OR = 1.92; 95 % CI = 1.05-3.51; p = 0.034 and OR = 1.95; 95 % CI = 1.08-3.52; p = 0.027, respectively). Conclusion GLP1R and GIPR genetic variability may affect the occurrence of AD and PD and is also associated with AD CSF biomarkers for Alzheimer's disease and dementia in PD. The data on GLP1R and GIPR genetic variability may support the function of incretin receptors in neurodegeneration.
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Affiliation(s)
- David Vogrinc
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
| | - Sara Redenšek Trampuž
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
| | - Tanja Blagus
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
| | - Maja Trošt
- Department of Neurology, University Medical Centre Ljubljana, Zaloška cesta 2, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia
| | - Milica Gregorič Kramberger
- Department of Neurology, University Medical Centre Ljubljana, Zaloška cesta 2, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Alfred Nobels allé 23, 141 52, Huddinge, Sweden
| | - Andreja Emeršič
- Department of Neurology, University Medical Centre Ljubljana, Zaloška cesta 2, Ljubljana, Slovenia
| | - Saša Čučnik
- Department of Neurology, University Medical Centre Ljubljana, Zaloška cesta 2, Ljubljana, Slovenia
- Department of Rheumatology, University Medical Centre Ljubljana, 1000, Ljubljana, Slovenia
- Faculty of Pharmacy, University of Ljubljana, 1000, Ljubljana, Slovenia
| | - Katja Goričar
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
| | - Vita Dolžan
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
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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: 9] [Impact Index Per Article: 9.0] [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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Taylor SI, Cherng HR, Yazdi ZS, Montasser ME, Whitlatch HB, Mitchell BD, Shuldiner AR, Streeten EA, Beitelshees AL. Pharmacogenetics of sodium-glucose co-transporter-2 inhibitors: Validation of a sex-agnostic pharmacodynamic biomarker. Diabetes Obes Metab 2023; 25:3512-3520. [PMID: 37608471 PMCID: PMC10829524 DOI: 10.1111/dom.15246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 07/21/2023] [Accepted: 07/28/2023] [Indexed: 08/24/2023]
Abstract
AIM To validate pharmacodynamic responses to sodium-glucose co-transporter-2 (SGLT2) inhibitors and test for association with genetic variants in SLC5A4, SLC5A9, and SLC2A9. METHODS Canagliflozin (300 mg), a SGLT2 inhibitor, was administered to 30 healthy volunteers. Several endpoints were measured to assess clinically relevant responses, including drug-induced increases in urinary excretion of glucose, sodium and uric acid. RESULTS This pilot study confirmed that canagliflozin (300 mg) triggered acute changes in mean levels of several biomarkers: fasting plasma glucose (-4.1 mg/dL; P = 6 × 10-5 ), serum creatinine (+0.05 mg/dL; P = 8 × 10-4 ) and serum uric acid (-0.90 mg/dL; P = 5 × 10-10 ). The effects of sex on glucosuria depended upon how data were normalized. Whereas males' responses were ~60% greater when data were normalized to body surface area, males and females exhibited similar responses when glucosuria was expressed as grams of urinary glucose per gram-creatinine. The magnitude of glucosuria was not significantly correlated with fasting plasma glucose, estimated glomerular filtration rate or age in those healthy individuals without diabetes with an estimated glomerular filtration rate of more than 60 mL/min/1.73m2 . CONCLUSIONS Normalizing data relative to creatinine excretion will facilitate including data from males and females in a single analysis. Furthermore, because our ongoing pharmacogenomic study (NCT02891954) is conducted in healthy individuals, this will facilitate detection of genetic associations with limited confounding by other factors such as HbA1c and renal function.
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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 20201, USA
| | - Hua-Ren Cherng
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Zhinous Shahidzadeh Yazdi
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - May E. Montasser
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Hilary B. Whitlatch
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Braxton D. Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Alan R. Shuldiner
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Elizabeth A. Streeten
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Amber L. Beitelshees
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, 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. 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, Cherng HR, Yazdi ZS, Montasser ME, Whitlatch HB, Mitchell BD, Shuldiner AR, Streeten EA, Beitelshees AL. Pharmacogenetics of SGLT2 Inhibitors: Validation of a sex-agnostic pharmacodynamic biomarker. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.07.23286875. [PMID: 36945579 PMCID: PMC10029014 DOI: 10.1101/2023.03.07.23286875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Aim SGLT2 inhibitors provide multiple benefits to patients with type 2 diabetes - including improved glycemic control and decreased risks of cardiorenal disease. Because drug responses vary among individuals, we initiated investigations to identify genetic variants associated with the magnitude of drug responses. Methods Canagliflozin (300 mg) was administered to 30 healthy volunteers. Several endpoints were measured to assess clinically relevant responses - including drug-induced increases in urinary excretion of glucose, sodium, and uric acid. Results This pilot study confirmed that canagliflozin (300 mg) triggered acute changes in mean levels of several biomarkers: fasting plasma glucose (-4.1 mg/dL; p=6x10), serum creatinine (+0.05 mg/dL; p=8×10 -4 ), and serum uric acid (-0.90 mg/dL; p=5×10 -10 ). The effects of sex on glucosuria depended upon how data were normalized. Whereas males' responses were ∼60% greater when data were normalized to body surface area, males and females exhibited similar responses when glucosuria was expressed as grams of urinary glucose per gram-creatinine. The magnitude of glucosuria was not significantly correlated with fasting plasma glucose, estimated GFR, or age in these healthy non-diabetic individuals with estimated GFR>60 mL/min/1.73m 2 . Conclusions Normalizing data relative to creatinine excretion will facilitate including data from males and females in a single analysis. Furthermore, because our ongoing pharmacogenomic study ( NCT02891954 ) is conducted in healthy individuals, this will facilitate detection of genetic associations with limited confounding by other factors such as age and renal function. Registration NCT02462421 ( clinicaltrials.gov ). Funding Research grants from the National Institute of Diabetes and Digestive and Kidney Diseases: R21DK105401, R01DK108942, T32DK098107, and 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 20201, USA
| | - Hua-Ren Cherng
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Zhinous Shahidzadeh Yazdi
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - May E. Montasser
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Hilary B. Whitlatch
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Braxton D. Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Alan R. Shuldiner
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Elizabeth A. Streeten
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Amber L. Beitelshees
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 20201, 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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Clark JM, Garvey WT, Niswender KD, Schmidt AM, Ahima RS, Aleman JO, Battarbee AN, Beckman J, Bennett WL, Brown NJ, Chandler‐Laney P, Cox N, Goldberg IJ, Habegger KM, Harper LM, Hasty AH, Hidalgo BA, Kim SF, Locher JL, Luther JM, Maruthur NM, Miller ER, Sevick MA, Wells Q. Obesity and Overweight: Probing Causes, Consequences, and Novel Therapeutic Approaches Through the American Heart Association's Strategically Focused Research Network. J Am Heart Assoc 2023; 12:e027693. [PMID: 36752232 PMCID: PMC10111504 DOI: 10.1161/jaha.122.027693] [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: 08/08/2022] [Accepted: 01/03/2023] [Indexed: 02/09/2023]
Abstract
As the worldwide prevalence of overweight and obesity continues to rise, so too does the urgency to fully understand mediating mechanisms, to discover new targets for safe and effective therapeutic intervention, and to identify biomarkers to track obesity and the success of weight loss interventions. In 2016, the American Heart Association sought applications for a Strategically Focused Research Network (SFRN) on Obesity. In 2017, 4 centers were named, including Johns Hopkins University School of Medicine, New York University Grossman School of Medicine, University of Alabama at Birmingham, and Vanderbilt University Medical Center. These 4 centers were convened to study mechanisms and therapeutic targets in obesity, to train a talented cadre of American Heart Association SFRN-designated fellows, and to initiate and sustain effective and enduring collaborations within the individual centers and throughout the SFRN networks. This review summarizes the central themes, major findings, successful training of highly motivated and productive fellows, and the innovative collaborations and studies forged through this SFRN on Obesity. Leveraging expertise in in vitro and cellular model assays, animal models, and humans, the work of these 4 centers has made a significant impact in the field of obesity, opening doors to important discoveries, and the identification of a future generation of obesity-focused investigators and next-step clinical trials. The creation of the SFRN on Obesity for these 4 centers is but the beginning of innovative science and, importantly, the birth of new collaborations and research partnerships to propel the field forward.
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Affiliation(s)
- Jeanne M. Clark
- Division of General Internal Medicine, Department of MedicineThe Johns Hopkins University School of MedicineBaltimoreMD
- Department of EpidemiologyThe Johns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Welch Center for Prevention, Epidemiology and Clinical ResearchThe Johns Hopkins UniversityBaltimoreMD
| | - W. Timothy Garvey
- Department of Nutrition SciencesUniversity of Alabama at BirminghamBirminghamAL
| | - Kevin D. Niswender
- Tennessee Valley Healthcare SystemVanderbilt University Medical CenterNashvilleTN
- Division of Diabetes, Department of Medicine, Endocrinology and MetabolismVanderbilt University Medical CenterNashvilleTN
| | - Ann Marie Schmidt
- Department of Medicine, Diabetes Research Program, Division of Endocrinology, Diabetes and MetabolismNew York University Grossman School of MedicineNew YorkNY
| | - Rexford S. Ahima
- Department of Medicine, Division of Endocrinology, Diabetes and MetabolismThe Johns Hopkins University School of MedicineBaltimoreMD
| | - Jose O. Aleman
- Division of Endocrinology, Department of Medicine, Diabetes and MetabolismNew York University Grossman School of MedicineNew YorkNY
| | - Ashley N. Battarbee
- Division of Maternal Fetal Medicine, Department of Obstetrics and GynecologyUniversity of Alabama at BirminghamBirminghamAL
| | - Joshua Beckman
- Division of Cardiovascular Medicine, Department of MedicineVanderbilt University Medical CenterNashvilleTN
| | - Wendy L. Bennett
- Division of General Internal Medicine, Department of MedicineThe Johns Hopkins University School of MedicineBaltimoreMD
- Department of EpidemiologyThe Johns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Welch Center for Prevention, Epidemiology and Clinical ResearchThe Johns Hopkins UniversityBaltimoreMD
- Department of Population, Family and Reproductive HealthThe Johns Hopkins Bloomberg School of Public HealthBaltimoreMD
| | | | | | - Nancy Cox
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Department of MedicineVanderbilt University Medical CenterNashvilleTNUSA
| | - Ira J. Goldberg
- Division of Endocrinology, Department of Medicine, Diabetes and MetabolismNew York University Grossman School of MedicineNew YorkNY
| | - Kirk M. Habegger
- Division of Endocrinology, Department of Medicine, Diabetes, and MetabolismUniversity of Alabama at BirminghamBirminghamAL
| | - Lorie M. Harper
- Division of Maternal Fetal Medicine, Department of Obstetrics and GynecologyUniversity of Alabama at BirminghamBirminghamAL
- Division of Maternal‐Fetal Medicine, Department of Women’s Health, Dell Medical SchoolUniversity of Texas at AustinAustinTXUSA
| | - Alyssa H. Hasty
- Department of Molecular Physiology and BiophysicsVanderbilt University School of MedicineNashvilleTN
- VA Tennessee Valley Healthcare SystemNashvilleTN
| | - Bertha A. Hidalgo
- Department of EpidemiologyUniversity of Alabama at BirminghamBirminghamAL
| | - Sangwon F. Kim
- Department of Medicine, Division of Endocrinology, Diabetes and MetabolismThe Johns Hopkins University School of MedicineBaltimoreMD
- Department of NeuroscienceThe Johns Hopkins University School of MedicineBaltimoreMD
| | - Julie L. Locher
- Division of Gerontology, Department of Medicine, Geriatrics, and Palliative CareUniversity of Alabama at BirminghamBirminghamAL
| | - James M. Luther
- Division of Clinical Pharmacology, Department of MedicineVanderbilt University Medical Center TennesseeNashvilleTN
| | - Nisa M. Maruthur
- Division of General Internal Medicine, Department of MedicineThe Johns Hopkins University School of MedicineBaltimoreMD
- Department of EpidemiologyThe Johns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Welch Center for Prevention, Epidemiology and Clinical ResearchThe Johns Hopkins UniversityBaltimoreMD
| | - Edgar R. Miller
- Division of General Internal Medicine, Department of MedicineThe Johns Hopkins University School of MedicineBaltimoreMD
- Department of EpidemiologyThe Johns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Welch Center for Prevention, Epidemiology and Clinical ResearchThe Johns Hopkins UniversityBaltimoreMD
| | - Mary Ann Sevick
- Division of Endocrinology, Department of Medicine, Diabetes and MetabolismNew York University Grossman School of MedicineNew YorkNY
- Department of Population Health, Center for Healthful Behavior ChangeNew York University Langone HealthNew YorkNY
| | - Quinn Wells
- Department of PharmacologyVanderbilt UniversityNashvilleTN
- Department of MedicineVanderbilt University Medical CenterNashvilleTN
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Dawed AY, Mari A, Brown A, McDonald TJ, Li L, Wang S, Hong MG, Sharma S, Robertson NR, Mahajan A, Wang X, Walker M, Gough S, Hart LM', Zhou K, Forgie I, Ruetten H, Pavo I, Bhatnagar P, Jones AG, Pearson ER. Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials. Lancet Diabetes Endocrinol 2023; 11:33-41. [PMID: 36528349 DOI: 10.1016/s2213-8587(22)00340-0] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND In the treatment of type 2 diabetes, GLP-1 receptor agonists lower blood glucose concentrations, body weight, and have cardiovascular benefits. The efficacy and side effects of GLP-1 receptor agonists vary between people. Human pharmacogenomic studies of this inter-individual variation can provide both biological insight into drug action and provide biomarkers to inform clinical decision making. We therefore aimed to identify genetic variants associated with glycaemic response to GLP-1 receptor agonist treatment. METHODS In this genome-wide analysis we included adults (aged ≥18 years) with type 2 diabetes treated with GLP-1 receptor agonists with baseline HbA1c of 7% or more (53 mmol/mol) from four prospective observational cohorts (DIRECT, PRIBA, PROMASTER, and GoDARTS) and two randomised clinical trials (HARMONY phase 3 and AWARD). The primary endpoint was HbA1c reduction at 6 months after starting GLP-1 receptor agonists. We evaluated variants in GLP1R, then did a genome-wide association study and gene-based burden tests. FINDINGS 4571 adults were included in our analysis, of these, 3339 (73%) were White European, 449 (10%) Hispanic, 312 (7%) American Indian or Alaskan Native, and 471 (10%) were other, and around 2140 (47%) of the participants were women. Variation in HbA1c reduction with GLP-1 receptor agonists treatment was associated with rs6923761G→A (Gly168Ser) in the GLP1R (0·08% [95% CI 0·04-0·12] or 0·9 mmol/mol lower reduction in HbA1c per serine, p=6·0 × 10-5) and low frequency variants in ARRB1 (optimal sequence kernel association test p=6·7 × 10-8), largely driven by rs140226575G→A (Thr370Met; 0·25% [SE 0·06] or 2·7 mmol/mol [SE 0·7] greater HbA1c reduction per methionine, p=5·2 × 10-6). A similar effect size for the ARRB1 Thr370Met was seen in Hispanic and American Indian or Alaska Native populations who have a higher frequency of this variant (6-11%) than in White European populations. Combining these two genes identified 4% of the population who had a 30% greater reduction in HbA1c than the 9% of the population with the worse response. INTERPRETATION This genome-wide pharmacogenomic study of GLP-1 receptor agonists provides novel biological and clinical insights. Clinically, when genotype is routinely available at the point of prescribing, individuals with ARRB1 variants might benefit from earlier initiation of GLP-1 receptor agonists. FUNDING Innovative Medicines Initiative and the Wellcome Trust.
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Affiliation(s)
- Adem Y Dawed
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
| | - Andrea Mari
- National Research Council Institute of Neuroscience, Padua, Italy
| | - Andrew Brown
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Timothy J McDonald
- Institute of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK
| | - Lin Li
- BioStat Solutions, Fredrick, MD, USA
| | | | - Mun-Gwan Hong
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Sapna Sharma
- Research Unit Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Muenchen, Neuherberg, Germany
| | - Neil R Robertson
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Xuan Wang
- Science for Life Laboratory, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - Stephen Gough
- Global Chief Medical Office, Novo Nordisk, Søborg, Denmark
| | - Leen M 't Hart
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands; Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, Netherlands; Department of Epidemiology and Data Sciences, Amsterdam Public Health Institute, Amsterdam University Medical Center, location VUMC, Amsterdam, Netherlands
| | - Kaixin Zhou
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Ian Forgie
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | | | - Imre Pavo
- Eli Lilly Research Laboratories, Indianapolis, IN, USA
| | | | - Angus G Jones
- Institute of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK
| | - Ewan R Pearson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
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9
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Luo P, Fan Y, Xiong Y, Feng H, Yang Z, Zhang C, Mei B. Genetic variants of the GLP-1R gene affect the susceptibility and glucose metabolism of gestational diabetes mellitus: a two-center nested case‒control study. Diabetol Metab Syndr 2022; 14:190. [PMID: 36528605 PMCID: PMC9759872 DOI: 10.1186/s13098-022-00963-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is the most common complication during pregnancy, occurring under the combined action of environmental and genetic factors. Genetic variants of glucagon-like peptide-1 receptor (GLP-1R) have been reported to affect insulin secretion and susceptibility to type 2 diabetes. This study aimed to explore the role of GLP-1R polymorphisms in GDM and glucose metabolism. METHODS A two-center nested case‒control study was designed, including 200 pregnant women with GDM and 200 pregnant women without GDM genotyped for five tag SNPs of GLP-1R using Sanger sequencing. Logistic regression was used to evaluate the relationship between GLP-1R polymorphisms and GDM risk. Glucose and insulin concentrations were measured based upon the 75 g oral glucose tolerance test (OGTT). Beta cell function of different genotypes was estimated with the 60 min insulinogenic index (IGI60) and OGTT-derived disposition index (DI). RESULTS Mutant genotype AG + GG of tag SNP rs6458093 nominally increased GDM risk (p = 0.049), especially among subjects younger than 35 years (p = 0.024) and with BMI no less than 24 (p = 0.041), after adjusting for confounders. Meanwhile, compared with subjects with wild genotype AA, subjects with genotype AG + GG of rs6458093 also showed nominally significantly lower IGI60 (p = 0.032) and DI (p = 0.029), as well as significantly higher 75 g OGTT-based 1 h glucose load plasma glucose levels (p = 0.045). Moreover, the mutant heterozygous genotype GA of tag SNP rs3765467 nominally decreased GDM risk among subjects older than 35 years (p = 0.037) but showed no association with insulin secretion and glucose homeostasis. CONCLUSIONS Tag SNP rs6458093 of GLP-1R was nominally associated with increased GDM risk and affected beta cell function and postprandial glucose metabolism, while tag SNP rs3765467 of GLP-1R was nominally associated with decreased GDM risk, providing evidence for molecular markers and etiological study of GDM.
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Affiliation(s)
- Ping Luo
- Department of Laboratory Medicine, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, 434020, China
| | - Ying Fan
- Gongan County Maternal and Child Health Care Hospital, Jingzhou, 434300, China
| | - Yusha Xiong
- Gongan County Maternal and Child Health Care Hospital, Jingzhou, 434300, China
| | - Hua Feng
- Gongan County Maternal and Child Health Care Hospital, Jingzhou, 434300, China
| | - Zhiping Yang
- Department of Laboratory Medicine, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, 434020, China
| | - Chunlin Zhang
- Department of Laboratory Medicine, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, 434020, China
| | - Bing Mei
- Department of Laboratory Medicine, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, 434020, China.
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10
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El Eid L, Reynolds CA, Tomas A, Ben Jones. Biased Agonism and Polymorphic Variation at the GLP-1 Receptor: Implications for the Development of Personalised Therapeutics. Pharmacol Res 2022; 184:106411. [PMID: 36007775 DOI: 10.1016/j.phrs.2022.106411] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/16/2022] [Accepted: 08/18/2022] [Indexed: 10/15/2022]
Abstract
Glucagon-like peptide-1 receptor (GLP-1R) is a well-studied incretin hormone receptor and target of several therapeutic drugs for type 2 diabetes (T2D), obesity and, more recently, cardiovascular disease. Some signalling pathways downstream of GLP-1R may be responsible for drug adverse effects such as nausea, while others mediate therapeutic outcomes of incretin-based T2D therapeutics. Understanding the interplay between different factors that alter signalling, trafficking, and receptor activity, including biased agonism, single nucleotide polymorphisms and structural modifications is key to develop the next-generation of personalised GLP-1R agonists. However, these interactions remain poorly described, especially for novel therapeutics such as dual and tri-agonists that target more than one incretin receptor. Comparison of GLP-1R structures in complex with G proteins and different peptide and non-peptide agonists has revealed novel insights into important agonist-residue interactions and networks crucial for receptor activation, recruitment of G proteins and engagement of specific signalling pathways. Here, we review the latest knowledge on GLP-1R structure and activation, providing structural evidence for biased agonism and delineating important networks associated with this phenomenon. We survey current biased agonists and multi-agonists at different stages of development, highlighting possible challenges in their translational potential. Lastly, we discuss findings related to non-synonymous genomic variants of GLP1R and the functional importance of specific residues involved in GLP-1R function. We propose that studies of GLP-1R polymorphisms, and specifically their effect on receptor dynamics and pharmacology in response to biased agonists, could have a significant impact in delineating precision medicine approaches and development of novel therapeutics.
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Affiliation(s)
- Liliane El Eid
- Section of Cell Biology and Functional Genomics, Imperial College London, London, United Kingdom
| | - Christopher A Reynolds
- Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Coventry University, Alison Gingell Building, United Kingdom; School of Life Sciences, University of Essex, Colchester, United Kingdom
| | - Alejandra Tomas
- Section of Cell Biology and Functional Genomics, Imperial College London, London, United Kingdom.
| | - Ben Jones
- Section of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
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11
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Cahill KN, Amin T, Boutaud O, Printz R, Newcomb DC, Foer D, Hodson DJ, Broichhagen J, Beckman JA, Yu C, Nian H, Mashayekhi M, Silver HJ, Luther JM, Brown NJ, Peebles RS, Niswender K. Glucagon-Like Peptide-1 Receptor Regulates Thromboxane-Induced Human Platelet Activation. JACC Basic Transl Sci 2022; 7:713-715. [PMID: 35958685 PMCID: PMC9357570 DOI: 10.1016/j.jacbts.2022.04.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Katherine N. Cahill
- Vanderbilt University Medical Center, 2525 West End Avenue, Suite 450, Nashville, Tennessee 37203, USA
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12
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Tsermpini EE, Goričar K, Kores Plesničar B, Plemenitaš Ilješ A, Dolžan V. Genetic Variability of Incretin Receptors and Alcohol Dependence: A Pilot Study. Front Mol Neurosci 2022; 15:908948. [PMID: 35754710 PMCID: PMC9218814 DOI: 10.3389/fnmol.2022.908948] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 05/09/2022] [Indexed: 11/13/2022] Open
Abstract
Alcohol dependence is a chronic mental disorder that leads to decreased quality of life for patients and their relatives and presents a considerable burden to society. Incretin hormones, such as glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide 1 (GLP-1) are endogenous gut-brain peptides, which can travel across the blood-brain barrier and access the nervous system. Their respective receptors, GIPR and GLP-1R, are expressed in the reward-related brain areas and are involved in memory formation and neurogenesis, which results in behavioral changes in rodent models. The current study investigated the potential association of genetic variability of incretin receptors with alcohol dependence and alcohol-related psychosymptomatology. Alcohol dependence and comorbid psychosymptomatology were assessed in a cohort of Slovenian male participants, comprised of 89 hospitalized alcohol-dependent patients, 98 abstinent alcohol-dependent patients, and 93 healthy blood donors. All participants were genotyped for GIPR rs1800437 and GLP1R rs10305420 and rs6923761 polymorphisms. For the statistical analysis Kruskal-Wall and Mann-Whitney tests were used in additive and dominant genetic models. Our findings indicated that GIPR rs1800437 genotypes were associated with an increased risk of alcohol dependence. Statistically significant association between GIPR rs1800437 GG genotype and Brief Social Phobia Scale scores were observed in the abstinent alcohol-dependent patients, while GLP1R rs6923761 GG genotype was associated with Zung anxiety scores in healthy controls. Our pilot study indicates that GIPR rs1800437 may play some role in susceptibility to alcohol dependence, as well as in alcohol-related psychosymptomatology symptoms. To our knowledge, this is the first study that indicates the involvement of GIPR in alcohol dependence. However, studies with larger cohorts are needed to confirm these preliminary findings.
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Affiliation(s)
- Evangelia Eirini Tsermpini
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Katja Goričar
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Blanka Kores Plesničar
- University Psychiatric Clinic, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Vita Dolžan
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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