Transl Clin Pharmacol.  2020 Dec;28(4):169-174. 10.12793/tcp.2020.28.e19.

Predicting human pharmacokinetics from preclinical data: volume of distribution

• Yim DS
• Choi S

• KMID: 2512010
• DOI: http://doi.org/10.12793/tcp.2020.28.e19

Abstract

This tutorial introduces background and methods to predict the human volume of distribution (V_d ) of drugs using in vitro and animal pharmacokinetic (PK) parameters. The physiologically based PK (PBPK) method is based on the familiar equation: V_d = V_p + ∑_T (V_T × k_tp ). In this equation, V_p (plasma volume) and V_T (tissue volume) are known physiological values, and k_tp (tissue plasma partition coefficient) is experimentally measured. Here, the k_tp may be predicted by PBPK models because it is known to be correlated with the physicochemical property of drugs and tissue composition (fraction of lipid and water). Thus, PBPK models' evolution to predict human V_d has been the efforts to find a better function giving a more accurate k_tp . When animal PK parameters estimated using i.v. PK data in ≥ 3 species are available, allometric methods can also be used to predict human V_d . Unlike the PBPK method, many different models may be compared to find the best-fitting one in the allometry, a kind of empirical approach. Also, compartmental V_d parameters (e.g., V_c , V_p , and Q) can be predicted in the allometry. Although PBPK and allometric methods have long been used to predict V_d, there is no consensus on method choice. When the discrepancy between PBPK-predicted V_d and allometry-predicted V_d is huge, physiological plausibility of all input and output data (e.g., r² -value of the allometric curve) may be reviewed for careful decision making.

Keyword

Volume of Distribution; PBPK Human PK Prediction