TY - JOUR
T1 - Physiologically based pharmacokinetic (PBPK) modelling for in vitro-in vivo extrapolation
T2 - Emphasis on the use of dissolution data
AU - Ghate, Vivek M.
AU - Chaudhari, Pinal
AU - Lewis, Shaila A.
PY - 2019/8/1
Y1 - 2019/8/1
N2 - Recently the pharmaceutical sector has witnessed a drastic rise in the advancement and incorporation of computer-based technology into several unit operations. Drug dissolution profiling is an important consideration for the successful development of immediate and extended orally delivered formulations. Physiologically based pharmacokinetic (PBPK) modelling has gained a lot of attention when compared to the one-and two-compartmental modelling in establishing a relationship between the in vitro and in vivo parameters. Moreover, the influence of various factors like food, disease, population variations, transporters, and gastric emptying play a significant part in the in vivo outcome of the dosage form. In silico techniques are capable of addressing these limitations by incorporation of near-to-life replica of the in vivo conditions and are able to provide newer interpretations of conventional dissolution data that cannot be concluded by the generation of pharmacokinetic descriptors alone. This review focuses on the various in silico tools including the theory and studies conducted with dissolution data in recent years.
AB - Recently the pharmaceutical sector has witnessed a drastic rise in the advancement and incorporation of computer-based technology into several unit operations. Drug dissolution profiling is an important consideration for the successful development of immediate and extended orally delivered formulations. Physiologically based pharmacokinetic (PBPK) modelling has gained a lot of attention when compared to the one-and two-compartmental modelling in establishing a relationship between the in vitro and in vivo parameters. Moreover, the influence of various factors like food, disease, population variations, transporters, and gastric emptying play a significant part in the in vivo outcome of the dosage form. In silico techniques are capable of addressing these limitations by incorporation of near-to-life replica of the in vivo conditions and are able to provide newer interpretations of conventional dissolution data that cannot be concluded by the generation of pharmacokinetic descriptors alone. This review focuses on the various in silico tools including the theory and studies conducted with dissolution data in recent years.
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U2 - 10.14227/DT260319P18
DO - 10.14227/DT260319P18
M3 - Article
AN - SCOPUS:85073425384
SN - 1521-298X
VL - 26
SP - 18
EP - 27
JO - Dissolution Technologies
JF - Dissolution Technologies
IS - 3
ER -