Publication Cover
Xenobiotica
the fate of foreign compounds in biological systems
Volume 49, 2019 - Issue 5
506
Views
6
CrossRef citations to date
0
Altmetric
General Xenobiochemistry

Prediction of volume of distribution in preclinical species and humans: application of simplified physiologically based algorithms

, , ORCID Icon, &
Pages 528-539 | Received 27 Mar 2018, Accepted 05 May 2018, Published online: 07 Jun 2018

References

  • Abdel-Rahman SM, Kauffman RE. (2004). The integration of pharmacokinetics and pharmacodynamics: understanding dose-response. Annu Rev Pharmacol Toxicol 44:111–36.
  • Arundel PA. (1997). A multi-compartmental model generally applicable to physiologically-based pharmacokinetics. Thirds IFAC Symposium; 1997 Mar 23–26; University of Warwick, UK.
  • Assmus F, Houston JB, Galetin A. (2017). Incorporation of lysosomal sequestration in the mechanistic model for prediction of tissue distribution of basic drugs. Eur J Pharm Sci 109:419–30.
  • Beconi MG, Howland D, Park L, et al. (2011). Pharmacokinetics of memantine in rats and mice. Version 2. PLoS Curr. 3:RRN1291.
  • Berezhkovskiy LM. (2004). Volume of distribution at steady state for a linear pharmacokinetic system with peripheral elimination. J Pharm Sci 93:1628–40.
  • Berry LM, Li C, Zhao Z. (2011). Species differences in distribution and prediction of human V(ss) from preclinical data. Drug Metab Dispos 39:2103–16.
  • Berry LM, Roberts J, Be X, et al. (2010). Prediction of V(ss) from in vitro tissue-binding studies. Drug Metab Dispos 38:115–21.
  • Betschart HR, Jondorf WR, Bickel MH. (1988). Differences in adipose tissue distribution of basic lipophilic drugs between intraperitoneal and other routes of administration. Xenobiotica 18:113–21.
  • Bjorkman S. (2002). Prediction of the volume of distribution of a drug: Which tissue–plasma partition coefficients are needed? J Pharm Pharmacol 54:1237–45.
  • Brown RP, Delp MD, Lindstedt SL, et al. (1997). Physiological parameter values for physiologically based pharmacokinetic models. Toxicol Ind Health 13:407–84.
  • Davis B, Morris T. (1993). Physiological parameters in laboratory animals and human. Pharm Res 10:1093–5.
  • Frédérique F, Jacques T, Lucie C, et al. (2009). Assessing drug distribution in tissues expressing P-glycoprotein through physiologically based pharmacokinetic modeling: model structure and parameters determination. Theoret Biol Med Model. 6:13.
  • Graham H, Walker M, Jones O, et al. (2012). Comparison of in-vivo and in-silico methods used for prediction of tissue: plasma partition coefficients in rat. J Pharm Pharmacol 64:383–96.
  • Jansson R, Bredberg U, Ashton M. (2008). Prediction of drug tissue to plasma concentration ratios using a measured volume of distribution in combination with lipophilicity. J Pharm Sci 97:2324–39.
  • Kazmi F, Hensley T, Pope C, et al. (2013). Lysosomal sequestration (trapping) of lipophilic amine (cationic amphiphilic) drugs in immortalized human hepatocytes (Fa2N-4 cells). Drug Metab Dispos 41:897–05.
  • McPhee F, Sheaffer AK, Friborg J, et al. (2012). Preclinical profile and characterization of the hepatitis C virus NS3 protease inhibitor asunaprevir (BMS-650032). Antimicrob Agents Chemother 56:5387–96.
  • Montay G, Goueffon Y, Roquet F. (1984). Absorption, distribution, metabolic fate, and elimination of pefloxacin mesylate in mice, rats, dogs, monkeys, and humans. Antimicrob Agents Chemother 25:463–72.
  • Nigade PB, Gundu J, Pai KS, et al. (2017a). Prediction of tissue-to-plasma ratios of basic compounds in mice. Eur J Drug Metab Pharmacokinet 42:835–47.
  • Nigade PB, Gundu J, Pai KS, et al. (2017b). Prediction of tumor-to-plasma ratios of basic compounds in subcutaneous xenograft mouse models. Eur J Drug Metab Pharmacokinet 42:835–47.
  • Obach RS, Lombardo F, Waters NJ. (2008). Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds. Drug Metab Dispos 36:1385–05.
  • Obach RS. (2007). Prediction of human volume of distribution using in vivo, in vitro and in silico approaches. Ann Rep Med Chem. 42:469–88.
  • Peters SA. (2012). Physiologically-based pharmacokinetic (PBPK) modeling and simulations: principles, methods, and applications in the pharmaceutical industry. 1st edn. Hoboken, NJ: John Wiley & Sons, Inc., 407–21.
  • Poulin P. (2015). Drug distribution to human tissues: prediction and examination of the basic assumption in In vivo pharmacokinetics-pharmacodynamics (PK/PD) research. J Pharm Sci 104:2110–18.
  • Poulin P, Chen YH, Ding X, et al. (2015). Prediction of drug distribution in subcutaneous xenografts of human tumor cell lines and healthy tissues in mouse: application of the tissue composition-based model to antineoplastic drugs. J Pharm Sci 104:1508–21.
  • Poulin P, Dambach DM, Hartley DH, et al. (2013b). An algorithm for evaluating potential tissue drug distribution in toxicology studies from readily available pharmacokinetic parameters. J Phar Sci 102:3816–29.
  • Poulin P, Ekin S, Theil FP. (2011). A hybrid approach to advancing quantitative prediction of tissue distribution of basic drugs in human. Toxicol Appl Pharmacol 250:194–212.
  • Poulin P, Hop CE, Salphati L, et al. (2013a). Correlation of tissue-plasma partition coefficient between normal tissues and subcutaneous xenografts of human tumor cell lines in mouse as a prediction tool of drug penetration in tumors. J Pharm Sci 102:1355–69.
  • Poulin P, Theil F. (2000). A priori prediction of tissue: plasma partition coefficients of drugs to facilitate the use of physiologically-based pharmacokinetic models in drug discovery. J Pharm Sci 89:16–35.
  • Poulin P, Theil FP. (2002a). Prediction of pharmacokinetics prior to in vivo studies. 1. Mechanism-based prediction of volume of distribution. J Pharm Sci 91:129–56.
  • Poulin P, Theil FP. (2002b). Prediction of pharmacokinetics prior to in vivo studies. II. Generic physiologically based pharmacokinetic models of drug disposition. J Pharm Sci 91:1358–70.
  • Poulin P, Theil FP. (2009). Development of a novel method for predicting human volume of distribution at steady-state of basic drugs and comparative assessment with existing methods. J Pharm Sci 98:4941–61.
  • Richter WF, Starke V, Whitby B. (2006). The distribution pattern of radioactivity across different tissues in quantitative whole-body autoradiography (QWBA) studies. Eur J Pharm Sci 28:155–65.
  • Rodgers T, Jones HM, Rowland M. (2012). Tissue lipids and drug distribution: dog versus rat. J Pharm Sci 101:4615–25.
  • Rodgers T, Leahy D, Rowland M. (2005a). Tissue distribution of basic drugs: accounting for enantiomeric, compound and regional differences amongst beta-blocking drugs in rat. J Pharm Sci 94:1237–48.
  • Rodgers T, Leahy D, Rowland M. (2005b). Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases. J Pharm Sci 94:1259–76.
  • Rodgers T, Rowland M. (2006). Physiologically based pharmacokinetic modelling 2: predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions. J Pharm Sci 95:1238–57. Erratum in J Pharm Sci. 2007;96:3153–54.
  • Ruark CD, Hack CE, Robinson PJ, et al. (2014). Predicting passive and active tissue:plasma partition coefficients: interindividual and interspecies variability. J Pharm Sci 103:2189–98.
  • Weidekamm E, Portmann R, Suter K, et al. (1987). Single- and multiple-dose pharmacokinetics of fleroxacin, a trifluorinated quinolone, in humans. Antimicrob Agents Chemother 31:1909–14.
  • Yun YE, Edginton AN. (2013). Correlation-based prediction of tissue-to-plasma partition coefficients using readily available input parameters. Xenobiotica 43:839–52.
  • Zhuang X, Lu C. (2016). PBPK modeling and simulation in drug research and development. Acta Pharm Sin B 6:430–40.
  • Zou P, Zheng N, Yang Y, et al. (2012). Prediction of volume of distribution at steady state in humans: comparison of different approaches. Exp Opin Drug Metab Toxicol 8:855–72.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.