2011
DOI: 10.1021/mp200062a
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Using Absorption Simulation and Gastric pH Modulated Dog Model for Formulation Development To Overcome Achlorhydria Effect

Abstract: Impaired absorption of weakly basic drugs in patients with reduced gastric acidity can lead to loss of efficacy of the therapeutic agent. Hence, a robust formulation which can provide adequate exposure in achlorhydric patients is imperative to achieve the desired efficacy. In this report, formulation development of a weakly basic Merck compound A is described. Compound A shows lower solubility at higher pH and thus is prone to reduced exposure under conditions of achlorhydria, as the compound's solubility incr… Show more

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Cited by 54 publications
(64 citation statements)
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“…Variability of the stomach pH in human subjects as a result of administering proton pump inhibitor is attributed to cause changes of the level of supersaturation in small intestines, thus resulting in high variability in oral exposure. Similarly, Mitra et al (30) reported that poor absorption of weakly basic drug A in patients with reduced gastric acidity can lead to loss of efficacy of the therapeutic agent. The F1 formulation containing a drug A dosed in beagle dogs under normal (pentagastrin pretreated) and high (famotidine pretreated) gastric pH conditions.…”
Section: In Vivo Studies In Humansmentioning
confidence: 98%
“…Variability of the stomach pH in human subjects as a result of administering proton pump inhibitor is attributed to cause changes of the level of supersaturation in small intestines, thus resulting in high variability in oral exposure. Similarly, Mitra et al (30) reported that poor absorption of weakly basic drug A in patients with reduced gastric acidity can lead to loss of efficacy of the therapeutic agent. The F1 formulation containing a drug A dosed in beagle dogs under normal (pentagastrin pretreated) and high (famotidine pretreated) gastric pH conditions.…”
Section: In Vivo Studies In Humansmentioning
confidence: 98%
“…This decision is based on measured in vivo preclinical or in vitro drug efficacy, and predicted human in vivo absorption, first pass intestinal and hepatic extraction, distribution and elimination. It is also used to guide formulation scientists in the first in man (FIM) formulation choice and development, and alert them to possible limitations such as particle size, potential in vivo precipitation or degradation, or permeability limitations, in order to decide on the best formulation strategy and potential impact of certain excipients ( Figure 1) (Willmann et al, 2010;Mitra et al, 2011;Chen et al, 2012).…”
Section: Accepted M Manuscriptmentioning
confidence: 99%
“…Without experimentation to point to the most relevant Tpptn, the modeling exercise is limited to directionally guiding formulation development without truly providing bioperformance understanding. Generating data from mechanistically based biorelevant dynamic pH, in vitro dissolution models like those described in recent publications by Gao et al (12), Bhattachar et al (13), and Mitra et al (16) can be an important step in studying dissolution, supersaturation, and precipitation kinetics for ionizable poorly soluble compounds.…”
Section: Current Issues and Mechanistic/ Non-mechanistic Considerationsmentioning
confidence: 99%
“…Recent articles have addressed the in vitro experiment gap by suggesting novel biorelevant methodology to understand the impact of dynamic pH environment on a drugs dissolution profile and its supersaturation potential in the GI lumen (12,13). In pharmaceutics, in silico modeling has been used effectively to assess the need for particle size control and API form comparisons to aid the API AAPS Journal Themed Issue Manuscript-Facilitation oral product development and reducing regulatory burden through novel approaches to assess bioavailability/bioequivalence; based on an AAPS workshop held on October 22-23, 2011. selection process for phase 1 clinical trials (7,(14)(15)(16). The examples illustrate the pharmaceutics-based risk associated with the API and offer insights into the anticipated outcome from clinical studies.…”
Section: Introductionmentioning
confidence: 99%