2013
DOI: 10.1007/s11095-013-1189-y
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Population PKPD Modeling of BACE1 Inhibitor-Induced Reduction in Aβ Levels In Vivo and Correlation to In Vitro Potency in Primary Cortical Neurons from Mouse and Guinea Pig

Abstract: The strong in vivo-in vitro correlation increased the confidence in using human cell lines for screening and optimization of BACE1 inhibitors. This can optimize the design and reduce the number of preclinical in vivo effect studies.

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Cited by 9 publications
(11 citation statements)
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“…Additionally, computational models, such as in vitro-in vivo extrapolation (IVIVE), physiologically based pharmacokinetic (PBPK), and pharmacodynamics (PD) modeling, are currently applied in the field of toxicology and regulatory testing, but might be suitable to define kinetics and dynamics of compound exposure, predict their long term effects in relation to AD [47, 48, 112], and assess therapeutic potential of novel compounds for AD treatment [113115]. …”
Section: Limitations Of Alternative Approaches and Strategies To Overmentioning
confidence: 99%
“…Additionally, computational models, such as in vitro-in vivo extrapolation (IVIVE), physiologically based pharmacokinetic (PBPK), and pharmacodynamics (PD) modeling, are currently applied in the field of toxicology and regulatory testing, but might be suitable to define kinetics and dynamics of compound exposure, predict their long term effects in relation to AD [47, 48, 112], and assess therapeutic potential of novel compounds for AD treatment [113115]. …”
Section: Limitations Of Alternative Approaches and Strategies To Overmentioning
confidence: 99%
“…Several studies on the pharmacokinetics (PK) and the pharmacodynamics (PD) of BACE1 and g-secretase inhibitors have been reported (Lu et al, 2012(Lu et al, , 2013Parkinson et al, 2013;Janson et al, 2014). Liu et al (2013) proposed a mechanistic PK-PD model of BACE1 inhibition in monkeys.…”
Section: Introductionmentioning
confidence: 99%
“…Novel computational models that are currently applied in toxicology, such as in vitro-in vivo extrapolation, physiologically based pharmacokinetic and pharmacodynamics modeling, suitable to define kinetics and dynamics of compound exposure and to predict chemical long term effects [119], might be applied to predict the absorption, distribution, metabolism, and excretion of chemicals, such as chlorpyrifos [120] and manganese [121], both implicated in A␤ deposition [47,122], and also to assess the efficacy of compounds for AD treatment, such as ␤-secretase inhibitors [123], the bioactive phytocompound curcumin [124], and APOE 4 inhibitors [125].…”
Section: Computational Models Data Extrapolation and Functional Stumentioning
confidence: 99%