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Model-based Prediction of the Long-term Glucose-Lowering Effects of Ipragliflozin, a Selective Sodium–Glucose Cotransporter 2 (SGLT2) Inhibitor, in Patients with Type 2 Diabetes Mellitus

INTRODUCTION: Sodium-dependent glucose cotransporter 2 (SGLT2) inhibitors inhibit the reabsorption of glucose from the kidneys and increase urinary glucose excretion (UGE), thereby lowering the blood glucose concentration in people suffering from type 1 and type 2 diabetes mellitus (T2DM). In a prev...

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Autores principales: Saito, Masako, Kaibara, Atsunori, Kadokura, Takeshi, Toyoshima, Junko, Yoshida, Satoshi, Kazuta, Kenichi, Ueyama, Eiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136367/
https://www.ncbi.nlm.nih.gov/pubmed/32166619
http://dx.doi.org/10.1007/s13300-020-00785-2
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author Saito, Masako
Kaibara, Atsunori
Kadokura, Takeshi
Toyoshima, Junko
Yoshida, Satoshi
Kazuta, Kenichi
Ueyama, Eiji
author_facet Saito, Masako
Kaibara, Atsunori
Kadokura, Takeshi
Toyoshima, Junko
Yoshida, Satoshi
Kazuta, Kenichi
Ueyama, Eiji
author_sort Saito, Masako
collection PubMed
description INTRODUCTION: Sodium-dependent glucose cotransporter 2 (SGLT2) inhibitors inhibit the reabsorption of glucose from the kidneys and increase urinary glucose excretion (UGE), thereby lowering the blood glucose concentration in people suffering from type 1 and type 2 diabetes mellitus (T2DM). In a previous study, we reported a pharmacokinetics/pharmacodynamics model to estimate individual change in UGE (ΔUGE), which is a direct pharmacological effect of SGLT2 inhibitors. In this study, we report our enhancement of the previous model to predict the long-term effects of ipragliflozin on clinical outcomes in patients with T2DM. METHODS: The time course of fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) in patients with T2DM following ipragliflozin treatment that had been observed in earlier clinical trials was modeled using empirical models combined with the maximum drug effect (E(max)) model and disease progression model. As a predictive factor of drug effect, estimated ΔUGE was introduced into the E(max) model, instead of ipragliflozin exposure. The developed models were used to simulate the time course of FPG and HbA1c following once-daily treatment with placebo or ipragliflozin at doses of 12.5, 25, 50 and 100 mg, and the changes at 52 weeks at the approved dose of 50 mg were summarized by renal function category. RESULTS: The developed models that included UGE as a dependent variable of response were found to well describe observed time courses in FPG and HbA1c. Baseline blood glucose level and renal function had significant effects on the glucose-lowering effect of ipragliflozin, and these models enabled quantification of these impacts on clinical outcomes. Simulated median changes in HbA1c in T2DM patients with mild and moderate renal impairment were 25 and 63% lower, respectively, than those in T2DM patients with normal renal function. These results are consistent with the observed clinical data from a previous renal impairment study. CONCLUSIONS: Empirical models established based on the effect of UGE well predicted the renal function-dependent long-term glucose-lowering effects of ipragliflozin in patients with T2DM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13300-020-00785-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-71363672020-04-09 Model-based Prediction of the Long-term Glucose-Lowering Effects of Ipragliflozin, a Selective Sodium–Glucose Cotransporter 2 (SGLT2) Inhibitor, in Patients with Type 2 Diabetes Mellitus Saito, Masako Kaibara, Atsunori Kadokura, Takeshi Toyoshima, Junko Yoshida, Satoshi Kazuta, Kenichi Ueyama, Eiji Diabetes Ther Original Research INTRODUCTION: Sodium-dependent glucose cotransporter 2 (SGLT2) inhibitors inhibit the reabsorption of glucose from the kidneys and increase urinary glucose excretion (UGE), thereby lowering the blood glucose concentration in people suffering from type 1 and type 2 diabetes mellitus (T2DM). In a previous study, we reported a pharmacokinetics/pharmacodynamics model to estimate individual change in UGE (ΔUGE), which is a direct pharmacological effect of SGLT2 inhibitors. In this study, we report our enhancement of the previous model to predict the long-term effects of ipragliflozin on clinical outcomes in patients with T2DM. METHODS: The time course of fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) in patients with T2DM following ipragliflozin treatment that had been observed in earlier clinical trials was modeled using empirical models combined with the maximum drug effect (E(max)) model and disease progression model. As a predictive factor of drug effect, estimated ΔUGE was introduced into the E(max) model, instead of ipragliflozin exposure. The developed models were used to simulate the time course of FPG and HbA1c following once-daily treatment with placebo or ipragliflozin at doses of 12.5, 25, 50 and 100 mg, and the changes at 52 weeks at the approved dose of 50 mg were summarized by renal function category. RESULTS: The developed models that included UGE as a dependent variable of response were found to well describe observed time courses in FPG and HbA1c. Baseline blood glucose level and renal function had significant effects on the glucose-lowering effect of ipragliflozin, and these models enabled quantification of these impacts on clinical outcomes. Simulated median changes in HbA1c in T2DM patients with mild and moderate renal impairment were 25 and 63% lower, respectively, than those in T2DM patients with normal renal function. These results are consistent with the observed clinical data from a previous renal impairment study. CONCLUSIONS: Empirical models established based on the effect of UGE well predicted the renal function-dependent long-term glucose-lowering effects of ipragliflozin in patients with T2DM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13300-020-00785-2) contains supplementary material, which is available to authorized users. Springer Healthcare 2020-03-12 2020-04 /pmc/articles/PMC7136367/ /pubmed/32166619 http://dx.doi.org/10.1007/s13300-020-00785-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Original Research
Saito, Masako
Kaibara, Atsunori
Kadokura, Takeshi
Toyoshima, Junko
Yoshida, Satoshi
Kazuta, Kenichi
Ueyama, Eiji
Model-based Prediction of the Long-term Glucose-Lowering Effects of Ipragliflozin, a Selective Sodium–Glucose Cotransporter 2 (SGLT2) Inhibitor, in Patients with Type 2 Diabetes Mellitus
title Model-based Prediction of the Long-term Glucose-Lowering Effects of Ipragliflozin, a Selective Sodium–Glucose Cotransporter 2 (SGLT2) Inhibitor, in Patients with Type 2 Diabetes Mellitus
title_full Model-based Prediction of the Long-term Glucose-Lowering Effects of Ipragliflozin, a Selective Sodium–Glucose Cotransporter 2 (SGLT2) Inhibitor, in Patients with Type 2 Diabetes Mellitus
title_fullStr Model-based Prediction of the Long-term Glucose-Lowering Effects of Ipragliflozin, a Selective Sodium–Glucose Cotransporter 2 (SGLT2) Inhibitor, in Patients with Type 2 Diabetes Mellitus
title_full_unstemmed Model-based Prediction of the Long-term Glucose-Lowering Effects of Ipragliflozin, a Selective Sodium–Glucose Cotransporter 2 (SGLT2) Inhibitor, in Patients with Type 2 Diabetes Mellitus
title_short Model-based Prediction of the Long-term Glucose-Lowering Effects of Ipragliflozin, a Selective Sodium–Glucose Cotransporter 2 (SGLT2) Inhibitor, in Patients with Type 2 Diabetes Mellitus
title_sort model-based prediction of the long-term glucose-lowering effects of ipragliflozin, a selective sodium–glucose cotransporter 2 (sglt2) inhibitor, in patients with type 2 diabetes mellitus
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136367/
https://www.ncbi.nlm.nih.gov/pubmed/32166619
http://dx.doi.org/10.1007/s13300-020-00785-2
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