Physiologically based synthetic models of hepatic disposition

Journal of Pharmacokinetics and Pharmacodynamics

Volumn 33, Issue 6, 2006, Pages 737-772

  Hunt, C Anthony ^b   Ropella, Glen E P ^b   Yan, Li ^a   Hung, Daniel Y ^c   Roberts, Michael S ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Agent based; Discrete event; Liver; Modeling (modelling); Physiologically based; Simulation

Indexed keywords

PHENAZONE; SUCROSE;

ARTICLE; COMPUTER MODEL; DATA COLLECTION METHOD; DRUG CLEARANCE; EXPERIMENTAL MODEL; LIVER; LIVER CLEARANCE; LIVER PERFUSION; LIVER STRUCTURE; NONHUMAN; PRIORITY JOURNAL; SIMULATION;

HUMANS; LIVER; MODELS, BIOLOGICAL; PHARMACOKINETICS;

EID: 33751413561     PISSN: 1567567X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10928-006-9031-3     Document Type: Article

References (37)

1. Rowland M. (1984) Physiologic pharmacokinetic models: relevance, experience, and future trends. Drug Metab. Rev. 15:55-74
2. Hung D.Y., Chang P., Weiss M., Roberts M.S. (2001) Structure-hepatic disposition relationships for cationic drugs in isolated perfused rat livers: transmembrane exchange and cytoplasmic binding process. J. Pharmacol. Exper. Therap. 297:780-89
3. Bassingthwaite J.B. (1970) Blood flow and diffusion through mammalian organs. Science 167:1347-53
4. M. Rowland, L. Balant, and C. Peck. Physiologically based pharmacokinetics in drug development and regulatory science: a workshop report (Georgetown DC, May 29-30, 2002). AAPS PharmSci. 6: article 6. DOI: 10.1208/ps060106 (2004).
5. Andersen M.E. (2003) Toxicokinetic modeling and its applications in chemical risk assessment. Toxicol. Lett. 138(1-2):9-27
6. Leahy D.E. (2003) Progress in simulation modelling for pharmacokinetics. Curr. Top. Med. Chem. 3:1257-68
7. Corley R.A., Mast T.J., Carney E.W., Rogers J.M., Daston G.P. (2003) Evaluation of physiologically based models of pregnancy and lactation for their application in children's health risk assessments. Crit. Rev. Toxicol. 34(2):137-211
8. Roberts M. S., Magnusson B.M., Burczynski F.J., Weiss M. (2002) Enterohepatic circulation: physiological, pharmacokinetic and clinical implications. Clin. Pharmacokinet. 41:751-90
9. Roberts M.S., Anissimov Y.G. (1999) Modeling of hepatic elimination and organ distribution kinetics with the extended convection-dispersion model. J. Pharmacokin. Biopharm. 27:343-382
10. Zeigler B.P., Praehofer H., Kim T.G. (2000) Theory of Modeling and Simulation: Discrete Event and Continuous Complex Dynamic Systems. Academic Press, California, pp. 3-36, 75-85, 99-104, 137-147.
11. Steels L., Brooks R. (eds). (1995) The Artificial Life Route to Artificial Intelligence. Lawrence Earlbaum Associates Inc., New Jersey, pp. 83-121
12. Czarnecki K., Eisenecker U. (2000) Generative Programming: Methods, Tools, and Application. Addison-Wesley, New York, pp. 10, 251-254.
13. G. E. Ropella, C. A. Hunt, and D. A. Nag. Using heuristic models to bridge the gap between analytic and experimental models in biology. 2005 Spring Simulation Multiconference, The Society for Modeling and Simulation International, San Diego, CA, April 2-8, 2005.
14. G. E. Ropella, C. A. Hunt, and S. Sheikh-Bahaei. Methodological considerations of heuristic modeling of biological systems. The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, FL, July 10-13, 2005.
15. Leahy D.E. (2003) Progress in simulation modelling for pharmacokinetics. Curr. Top. Med. Chem. 3(11):1257-1268
16. Teutsch H.F., Schuerfeld D., Groezinger E. (1999) Three-dimensional reconstruction of parenchymal units in the liver of the rat. Hepatology 29:494-505
17. Peirce S.M., van Gieson E.J., Skalak T.C. (2004) Multicellular simulation predicts patterning and in silico tissue assembly. FASEB J. 18:731-33
18. An G. (2004) In-silico experiments of existing and hypothetical cytokine-directed clinical trials using agent based modeling. Crit. Care Med. 32:2050-2060
19. Gumucio J.J., Miller D.L. (1982) Zonal hepatic function: Solute-hepatocyte interactions within the liver acinus. Prog. Liver. Diseases. 7:17-30
20. Kato Y., Tanaka J., Koyama K. (2001) Intralobular heterogeneity of oxidative stress and cell death in ischemia-reperfused rat liver. J. Surg. Res. 95:99-106
21. Scoazec J.Y., Racine L., Couvelard A., Flejou J.F., Geldmann G. (1994) Endothelial cell heterogeneity in the normal human liver acinus: in silico immunohistochemical demonstration. Liver 14:113-23
22. McCuskey R.S. (2000) Morphological mechanisms for regulating blood flow through hepatic sinusoids. Liver 20:3-7
23. Koo A., Liang I.Y., Cheng K.K. (1975) The terminal hepatic microcirculation in the rat. Quart. J. Exp. Physiol. Cogn. Med. 60:261-266
24. Miller D.L., Zanolli C.S., Gumucio J.J. (1979) Quantitative morphology of the sinusoids of the hepatic acinus. Gastroenterology 76:965-969
25. Cheung K., Hickman P.E., Potter J.M., Walker N., Jericho M., Haslam R., Roberts M.S. (1996) An optimised model for rat liver perfusion studies. J. Surg. Res. 66:81-89
26. Liu Y., Hunt C.A. (2005) Studies of intestinal drug transport using an in silico epithelio-mimetic device. Biosystems 82(2):154-167
27. Liu Y., Hunt C.A. (2006). Mechanistic study of the interplay of intestinal transport and metabolism using the synthetic modeling method. Pharm. Res. 23(3):493-505
28. S. Sheikh-Bahaei, G. E. P. Ropella, and C. A. Hunt. Agent-based simulation of in vitro hepatic drug metabolism: in silico hepatic intrinsic clearance. 2005 Spring Multiconference, The Society for Modeling and Simulation International, San Diego, CA, April 2-8, 2005.
29. S. Sheikh-Bahaei, G. E. P. Ropella, and C. A. Hunt. In silico hepatocyte: agent-based modeling of the biliary excretion of drugs. 2006 Spring Simulation Multiconference, The Society for Modeling and Simulation International, Huntsville, AL, April 2-6, 2006.
30. Santini S., Jain R. (1999) Similarity Measures. IEEE Trans. Pattern Anal. Mach. Intell. 21(9):871-83
31. D. A. Nag, G. E. P. Ropella, and C. A. Hunt. Similarity measures and validation in automated modeling. Huntsville Simulation Conference, Huntsville, AL, October 25-27, 2005.
32. Goresky C.A. (1963) A linear method for determining liver sinusoidal and extravascular volumes. Am. J. Physiol. 204:626-40
33. Pang K.S., Lee W.-F., Cherry W.F., Yuen V., Accaputo J., Fayz S., Schwab A.J., Goresky C.A. (1988) Effects of perfusate flow rate on measured blood volume, Disse space, intracellular water space, and drug extraction in the perfused rat liver preparation: characterization by the multiple indicator dilution technique. J. Pharmacokinet. Biopharm. 16:595-632
34. Schwab A.J., Pang K.S. (1999) The multiple indicator-dilution method for the study of enzyme heterogeneity in liver: theoretical basis. Drug Metab. Dispos. 27:746-55
35. Anissimov Y.G., Bracken A.J., Roberts M.S. (2002) Catheter effects in organ perfusion experiments. J. Theor. Biol. 214:263-73
36. Food and Drug Administration. Innovation or Stagnation: Challenge and Opportunity on the Critical Path to New Medical Products [online], < http://www.fda.gov/oc/initiatives/criticalpath/whitepaper.html > (2004).
37. Hunt C.A., Ropella G.E.P., Roberts M.S., Yan L. (2005) Biomimetic in silico devices. Lecture Notes in Bioinformatics 3082:35-43