2011
DOI: 10.1021/ac200683k
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Predicting Phospholipidosis: A Fluorescence Noncell Based in Vitro Assay for the Determination of Drug–Phospholipid Complex Formation in Early Drug Discovery

Abstract: This paper describes for the first time, a high-throughput fluorescence noncell based assay to screen for the drug-phospholipid interaction, which correlates to phospholipidosis. Anionic amphiphilic phospholipids can form complexes in aqueous solution, and its critical micelle concentration (CMC) can be determined using the fluorescence probe N,N-dimethyl-6-propionyl-2-naphthylamine (Prodan). Upon interaction with drug candidates, this CMC may shift to a lower value due to the association between lipids and dr… Show more

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Cited by 24 publications
(11 citation statements)
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“…Several prominent studies have been published, including reports by Pelletier et al[26] (who compiled experimental data for a set of 201 compounds), by Kruhlak et al[25a] (who investigated 482 substances), and most recently, by van de Waters et al[27] (who published data for a set of 56 compounds). In the past, various experimental methods have been proposed to measure PLD using cell-free,[28] in vitro,[29] and in vivo[30] approaches. Additionally, in silico prediction of PLD has been attempted in various studies using random forests,[31] support vector machines,[26], [31] nearest neighbor classifications,[32] decision trees,[32]–[33] logistic regressions,[26] Bayesian models,[26] and artificial neural networks,[32] based on the hitherto available data.…”
Section: Introductionmentioning
confidence: 99%
“…Several prominent studies have been published, including reports by Pelletier et al[26] (who compiled experimental data for a set of 201 compounds), by Kruhlak et al[25a] (who investigated 482 substances), and most recently, by van de Waters et al[27] (who published data for a set of 56 compounds). In the past, various experimental methods have been proposed to measure PLD using cell-free,[28] in vitro,[29] and in vivo[30] approaches. Additionally, in silico prediction of PLD has been attempted in various studies using random forests,[31] support vector machines,[26], [31] nearest neighbor classifications,[32] decision trees,[32]–[33] logistic regressions,[26] Bayesian models,[26] and artificial neural networks,[32] based on the hitherto available data.…”
Section: Introductionmentioning
confidence: 99%
“…These compounds showed positive responses in various in vitro models of PLD (Morelli et al, 2006;van de Water et al, 2011;Zhou et al, 2011). The ability for predicting drug-induced PLD has been reported in various cellbased assays.…”
Section: Discussionmentioning
confidence: 87%
“…Thus, our cell-based assay system using HepaRG cells may have comparable detection sensitivity with other cell-based approaches for the PLD assay. Zhou et al (2011) reported that parent compounds as well as their metabolites have PLD potential in some compounds such as amiodarone. HepaRG cells express the major CYPs involved in xenobiotic metabolism (Aninat et al, 2006).…”
Section: Discussionmentioning
confidence: 99%
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“…Although the relationship between DIPL and adverse effects in humans remains unknown, it is necessary to consider toxicity triggered by DIPL in humans. Some studies regarding in vitro screening to avoid DIPL have been reported (Sawada et al, 2005;Kasahara et al, 2006;Morelli et al, 2006;Zhou et al, 2011;Takagi et al, 2016). However, to evaluate DIPL in experimental animals, it is important to consider species differences, organ selectivity, and affinity for phospholipids.…”
Section: Introductionmentioning
confidence: 99%