2019
DOI: 10.1111/bcpt.13321
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Modelling gastric emptying: A pharmacokinetic model simultaneously describing distribution of losartan and its active metabolite EXP‐3174

Abstract: Losartan presents multiple peaks in the concentration‐time profile. This characteristic can be attributed to gastric emptying, which is known to significantly affect the disposition of highly soluble and permeable compounds. The aim of this study was to develop a population pharmacokinetic model for losartan and its active metabolite (EXP‐3174) in order to describe the effect of gastric emptying on their disposition. Population pharmacokinetic analysis was performed using concentration‐time data derived from a… Show more

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Cited by 9 publications
(4 citation statements)
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“…The lack of statistical significance in AE occurrence may be attributed to the relatively small sample sizes in the studies. It is noteworthy that only 14% of oral losartan doses are converted to EXP3174 by CYP2C9 and CYP3A4, and other metabolites may potentially lead to side effects and toxicity ( 53 ). However, Allisartan Isoproxil is meticulously formulated as an esterified prodrug, and its metabolism does not involve any cytochrome P450 subfamilies ( 54 ).…”
Section: Discussionmentioning
confidence: 99%
“…The lack of statistical significance in AE occurrence may be attributed to the relatively small sample sizes in the studies. It is noteworthy that only 14% of oral losartan doses are converted to EXP3174 by CYP2C9 and CYP3A4, and other metabolites may potentially lead to side effects and toxicity ( 53 ). However, Allisartan Isoproxil is meticulously formulated as an esterified prodrug, and its metabolism does not involve any cytochrome P450 subfamilies ( 54 ).…”
Section: Discussionmentioning
confidence: 99%
“…Typically, to model digestion, the stomach is considered a continuously stirred tank reactor (CSTR), and usually represented as a first‐order ordinary differential equations (ODE), with the small intestine modeled as a plug flow reactor (PFR), modeled using partial differential equations (PDE). Since these models are usually to simulate the dosage of nutrients or drugs and their absorption, they have tended to simplify many issues that are important in digestion, such as meal properties and interactions and feedback loops within the body (Karatza & Karalis, 2020). Effects such as meal viscosity (Marciani et al, 2001), and feedback mechanisms that respond to meal compositions (Brener et al, 1983), have long been known, but have not been rigorously studied within [ 13 C]‐OABT results.…”
Section: Pharmacokinetic Modeling Of Gementioning
confidence: 99%
“…To demonstrate the model on PK applications, the same research group (Ogungbenro et al, 2015) extended the model by focusing on the double‐peaked profile phenomenon due to GE, based on the application of a gastric‐modifying drug known as Levodopa. Many related approaches have been explored in the literature, focusing on drug and nutrient distributions in plasma (Bermejo et al, 2020; Hens & Bolger, 2019; Karatza & Karalis, 2020).…”
Section: Pharmacokinetic Modeling Of Gementioning
confidence: 99%
“…Instead, a PK model describing Losartan and its metabolite EXP3174 is desirable, as it can be coupled to our previous RAS model (Smith and Layton, 2023) via the drug's known AT1R binding properties. Such a model has previously been developed to study gastric emptying in humans (Karatza and Karalis, 2020). However, that model simulates a single oral dose of the drug (not continuous treatment with Losartan), and does not consider the kidney as a separate compartment (thus not appropriate for studying intrarenal RAS) .…”
Section: Introductionmentioning
confidence: 99%