Heike Zimdahl1, Axel Haupt, Michael Brendel, Louis Bour, Fausto Machicao, Afshin Salsali, Uli C Broedl, Hans-Juergen Woerle, Hans-Ulrich Häring, Harald Staiger. 1. aBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach bGerman Center for Diabetes Research (DZD) cInstitute for Diabetes Research and Metabolic Diseases, Helmholtz Centre Munich dDepartment of Internal Medicine, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology, and Clinical Chemistry eInterfaculty Centre for Pharmacogenomics and Pharma Research, University of Tuebingen fInstitute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls University Tuebingen, Tuebingen gInstitute of Experimental Genetics, Helmholtz Centre Munich, German Research Center for Environmental Health, Neuherberg hBoehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany iEli Lilly and Company, Indianapolis, USA.
Abstract
OBJECTIVE: Inhibition of the renal sodium-glucose cotransporter 2 (SGLT2) is a novel concept in the therapy of diabetes mellitus. In this study, we first assessed whether common single nucleotide polymorphisms (SNPs) in the SGLT2-encoding gene SLC5A2 affect diabetes-related metabolic traits in subjects at risk for type 2 diabetes and, second, whether these have pharmacogenetic relevance by interfering with the response to empagliflozin treatment in patients with type 2 diabetes. PATIENTS AND METHODS: Samples from a metabolically well-phenotyped cross-sectional study population (total N=2600) at increased risk for type 2 diabetes and pooled pharmacogenetic samples from patients from four phase III trials of empagliflozin (in total: 603 receiving empagliflozin, 305 receiving placebo) were genotyped for five common SNPs (minor allele frequencies ≥5%) present in the SLC5A2 gene locus. RESULTS: In the cross-sectional study, none of the SLC5A2 SNPs significantly influenced metabolic traits such as body fat, insulin sensitivity/resistance, insulin release, HbA1c, plasma glucose, or systolic blood pressure when multiple testing was taken into account (all P≥0.0083). Further, no relevant effect on response to treatment with empagliflozin on HbA1c, fasting glucose, weight, or systolic blood pressure was observed for the SNPs tested in the pharmacogenetic study. CONCLUSION: Common genetic variants in the SLC5A2 gene neither affects diabetes-related metabolic traits nor have a clinically relevant impact on response to treatment with the SGLT2 inhibitor empagliflozin.
OBJECTIVE: Inhibition of the renal sodium-glucose cotransporter 2 (SGLT2) is a novel concept in the therapy of diabetes mellitus. In this study, we first assessed whether common single nucleotide polymorphisms (SNPs) in the SGLT2-encoding gene SLC5A2 affect diabetes-related metabolic traits in subjects at risk for type 2 diabetes and, second, whether these have pharmacogenetic relevance by interfering with the response to empagliflozin treatment in patients with type 2 diabetes. PATIENTS AND METHODS: Samples from a metabolically well-phenotyped cross-sectional study population (total N=2600) at increased risk for type 2 diabetes and pooled pharmacogenetic samples from patients from four phase III trials of empagliflozin (in total: 603 receiving empagliflozin, 305 receiving placebo) were genotyped for five common SNPs (minor allele frequencies ≥5%) present in the SLC5A2 gene locus. RESULTS: In the cross-sectional study, none of the SLC5A2 SNPs significantly influenced metabolic traits such as body fat, insulin sensitivity/resistance, insulin release, HbA1c, plasma glucose, or systolic blood pressure when multiple testing was taken into account (all P≥0.0083). Further, no relevant effect on response to treatment with empagliflozin on HbA1c, fasting glucose, weight, or systolic blood pressure was observed for the SNPs tested in the pharmacogenetic study. CONCLUSION: Common genetic variants in the SLC5A2 gene neither affects diabetes-related metabolic traits nor have a clinically relevant impact on response to treatment with the SGLT2 inhibitor empagliflozin.
Authors: Marjolein Y A M Kroonen; Jeroen V Koomen; Sergei I Petrykiv; Gozewijn D Laverman; Hiddo J L Heerspink; Jasper Stevens Journal: Diabetes Obes Metab Date: 2020-02-17 Impact factor: 6.577
Authors: Heinz Drexel; Andreas Leiherer; Christoph H Saely; Eva Maria Brandtner; Kathrin Geiger; Alexander Vonbank; Peter Fraunberger; Axel Muendlein Journal: Biosci Rep Date: 2019-08-07 Impact factor: 3.840
Authors: Yulia A Nasykhova; Ziravard N Tonyan; Anastasiia A Mikhailova; Maria M Danilova; Andrey S Glotov Journal: Int J Mol Sci Date: 2020-09-18 Impact factor: 5.923