Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin

Bariatric surgery is an effective treatment for severe obesity and related comorbidities, such as type II diabetes. Gastric bypass surgery shortens the length of the intestine, possibly leading to altered drug absorption. Metformin, a first-line treatment for type II diabetes, has permeability-depen...

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Autores principales: Arik Dahan, Daniel Porat, Milica Markovic, Moran Zur, Olga Kister, Peter Langguth
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:8ebf2fb240e84f12ad8b7c8d56b0e37c2021-11-25T18:41:20ZOptimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin10.3390/pharmaceutics131118731999-4923https://doaj.org/article/8ebf2fb240e84f12ad8b7c8d56b0e37c2021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4923/13/11/1873https://doaj.org/toc/1999-4923Bariatric surgery is an effective treatment for severe obesity and related comorbidities, such as type II diabetes. Gastric bypass surgery shortens the length of the intestine, possibly leading to altered drug absorption. Metformin, a first-line treatment for type II diabetes, has permeability-dependent drug absorption, which may be sensitive to intestinal anatomic changes during bypass surgery, including Roux-en-Y gastric bypass (RYGB). Previous computer simulation data indicate increased metformin absorption after RYGB. In this study, we experimentally determined the region-dependent permeability of metformin, using the rat single-pass intestinal perfusion method (SPIP), which we then implemented into GastroPlus<sup>TM</sup> to assess the contribution of our SPIP data to post-RYGB metformin absorption modeling. Previous simulations allowed a good fit with in vivo literature data on healthy and obese control subjects. However, it was revealed that for post-RYGB drug absorption predictions, simply excluding the duodenum/jejunum is insufficient, as the software underestimates the observed plasma concentrations post-RYGB. By implementing experimentally determined segmental-dependent permeabilities for metformin in the remaining segments post-surgery, GastroPlus<sup>TM</sup> proved to fit the observed plasma concentration profile, making it a useful tool for predicting drug absorption after gastric bypass. Reliable evaluation of the parameters dictating drug absorption is required for the accurate prediction of overall absorption after bariatric surgery.Arik DahanDaniel PoratMilica MarkovicMoran ZurOlga KisterPeter LangguthMDPI AGarticlebariatric surgeryRoux-en-Y gastric bypassobesitymetforminGastroPlus<sup>TM</sup>intestinal permeabilityPharmacy and materia medicaRS1-441ENPharmaceutics, Vol 13, Iss 1873, p 1873 (2021)
institution DOAJ
collection DOAJ
language EN
topic bariatric surgery
Roux-en-Y gastric bypass
obesity
metformin
GastroPlus<sup>TM</sup>
intestinal permeability
Pharmacy and materia medica
RS1-441
spellingShingle bariatric surgery
Roux-en-Y gastric bypass
obesity
metformin
GastroPlus<sup>TM</sup>
intestinal permeability
Pharmacy and materia medica
RS1-441
Arik Dahan
Daniel Porat
Milica Markovic
Moran Zur
Olga Kister
Peter Langguth
Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin
description Bariatric surgery is an effective treatment for severe obesity and related comorbidities, such as type II diabetes. Gastric bypass surgery shortens the length of the intestine, possibly leading to altered drug absorption. Metformin, a first-line treatment for type II diabetes, has permeability-dependent drug absorption, which may be sensitive to intestinal anatomic changes during bypass surgery, including Roux-en-Y gastric bypass (RYGB). Previous computer simulation data indicate increased metformin absorption after RYGB. In this study, we experimentally determined the region-dependent permeability of metformin, using the rat single-pass intestinal perfusion method (SPIP), which we then implemented into GastroPlus<sup>TM</sup> to assess the contribution of our SPIP data to post-RYGB metformin absorption modeling. Previous simulations allowed a good fit with in vivo literature data on healthy and obese control subjects. However, it was revealed that for post-RYGB drug absorption predictions, simply excluding the duodenum/jejunum is insufficient, as the software underestimates the observed plasma concentrations post-RYGB. By implementing experimentally determined segmental-dependent permeabilities for metformin in the remaining segments post-surgery, GastroPlus<sup>TM</sup> proved to fit the observed plasma concentration profile, making it a useful tool for predicting drug absorption after gastric bypass. Reliable evaluation of the parameters dictating drug absorption is required for the accurate prediction of overall absorption after bariatric surgery.
format article
author Arik Dahan
Daniel Porat
Milica Markovic
Moran Zur
Olga Kister
Peter Langguth
author_facet Arik Dahan
Daniel Porat
Milica Markovic
Moran Zur
Olga Kister
Peter Langguth
author_sort Arik Dahan
title Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin
title_short Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin
title_full Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin
title_fullStr Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin
title_full_unstemmed Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin
title_sort optimized in silico modeling of drug absorption after gastric bypass: the case of metformin
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/8ebf2fb240e84f12ad8b7c8d56b0e37c
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