Literature DB >> 28134748

Influence of common polymorphisms in the SLC5A2 gene on metabolic traits in subjects at increased risk of diabetes and on response to empagliflozin treatment in patients with diabetes.

Heike Zimdahl1, Axel Haupt, Michael Brendel, Louis Bour, Fausto Machicao, Afshin Salsali, Uli C Broedl, Hans-Juergen Woerle, Hans-Ulrich Häring, Harald Staiger.   

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.

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Year:  2017        PMID: 28134748     DOI: 10.1097/FPC.0000000000000268

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  15 in total

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2.  Pilot study in pharmacogenomic management of empagliflozin in type 2 diabetes mellitus patients.

Authors:  Mahdieh Jamalizadeh; Mandana Hasanzad; Negar Sarhangi; Farshad Sharifi; Ensieh Nasli-Esfahani; Bagher Larijani
Journal:  J Diabetes Metab Disord       Date:  2021-08-10

3.  Genetic variability in sodium-glucose cotransporter 2 influences glycemic control and risk for diabetic retinopathy in type 2 diabetes patients.

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Journal:  J Med Biochem       Date:  2020-09-02       Impact factor: 3.402

4.  Common variation in the sodium/glucose cotransporter 2 gene SLC5A2 does neither affect fasting nor glucose-suppressed plasma glucagon concentrations.

Authors:  Anna-Maria Ordelheide; Anja Böhm; Daniela Kempe-Teufel; Robert Wagner; Fausto Machicao; Martin Heni; Norbert Stefan; Andreas Fritsche; Hans-Ulrich Häring; Harald Staiger
Journal:  PLoS One       Date:  2017-05-04       Impact factor: 3.240

5.  Exposure-response relationships for the sodium-glucose co-transporter-2 inhibitor dapagliflozin with regard to renal risk markers.

Authors:  Marjolein Y A M Kroonen; Jeroen V Koomen; Sergei I Petrykiv; Gozewijn D Laverman; Hiddo J L Heerspink; Jasper Stevens
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6.  Are SGLT2 polymorphisms linked to diabetes mellitus and cardiovascular disease? Prospective study and meta-analysis.

Authors:  Heinz Drexel; Andreas Leiherer; Christoph H Saely; Eva Maria Brandtner; Kathrin Geiger; Alexander Vonbank; Peter Fraunberger; Axel Muendlein
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Authors:  Maria J Pereira; Jan W Eriksson
Journal:  Drugs       Date:  2019-02       Impact factor: 9.546

Review 9.  Pharmacogenomic Studies of Current Antidiabetic Agents and Potential New Drug Targets for Precision Medicine of Diabetes.

Authors:  Zhiwei Zeng; Shi-Ying Huang; Tao Sun
Journal:  Diabetes Ther       Date:  2020-09-15       Impact factor: 2.945

Review 10.  Pharmacogenetics of Type 2 Diabetes-Progress and Prospects.

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

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