2019
DOI: 10.1016/j.ejps.2019.105031
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Combining biorelevant in vitro and in silico tools to simulate and better understand the in vivo performance of a nano-sized formulation of aprepitant in the fasted and fed states

Abstract: Combining biorelevant in vitro and in silico tools to simulate and better understand the in vivo performance of a nano-sized formulation of aprepitant in the fasted and fed states.

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Cited by 25 publications
(16 citation statements)
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“…By contrast, the use of the in vitro solubility of the crystalline API to represent in vivo solubility can result in a large underprediction of absorption [46] , as shown previously, for example, by Litou et al for the bioenabling formulation of aprepitant [4] .…”
Section: Discussionmentioning
confidence: 96%
See 1 more Smart Citation
“…By contrast, the use of the in vitro solubility of the crystalline API to represent in vivo solubility can result in a large underprediction of absorption [46] , as shown previously, for example, by Litou et al for the bioenabling formulation of aprepitant [4] .…”
Section: Discussionmentioning
confidence: 96%
“…Within the framework of the PEARRL consortium (and as a follow-up to a recently published case example) [4] , the present study aims to combine results obtained with biorelevant in vitro tools with in silico modeling techniques to simulate and better understand the in vivo behavior of the amorphous solid dispersion of etravirine. This formulation of etravirine is commercially available under the brand name Intelence® and its labeling specifies administration in the fed state.…”
Section: Introductionmentioning
confidence: 99%
“…Various biorelevant conditions have been shaped to build the IVIVC for orally administered NDDS (Table 4). Biorelevant dissolution coupled with PBPK modeling can support the oral NDDS development and minimize the animal/human testing (Kaur et al, 2018; Litou et al, 2019). However, PBPK modeling of NDDS is very challenging due to complex in vivo transport mechanisms such as MPS uptake, EPR effect, lymphatic transport, and enzyme degradation (Li et al, 2017).…”
Section: Ivivc For Nddsmentioning
confidence: 99%
“…Furthermore, the extrapolations made by the physiologically based pharmakokinetic and biodistribution model generates an expected in vivo biodistribution pattern based on early preclinical in vitro and in vivo data. In brief, establishing in vitro–in vivo correlation of nanocrystals can be used to well predict the in vivo behavior of drugs, elucidate the absorption mechanism and reduce the risk of clinical drug use (Bao et al., 2017 ; Litou et al., 2019 ).…”
Section: Solidification Of Nanocrystal Suspensionsmentioning
confidence: 99%