Добавил:
kiopkiopkiop18@yandex.ru t.me/Prokururor I Вовсе не секретарь, но почту проверяю Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:

Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5571_Библиотеки_им_академика_М_И_Перельмана

.pdf
Скачиваний:
0
Добавлен:
30.08.2026
Размер:
49 Мб
Скачать
TABLE 4.5 ADME Phenomena and the Tools for their Evaluation
Tool Absorption Distribution Metabolism Renal Excretion Biliary Excretion
In vivo
.
PO administration
.
Tissue distribution
.
Mass balance
.
Mass balance
.
Mass balance
.
ID administration
.
QWBA
.
Portal vein dosing
.
Urine collection
.
Bile cannulated
animals
.
Portal vein sampling
.
MALDI
.
KO animals
.
Transgenic/
humanized mice
.
Formulation
.
Microdialysis
.
Humanized animals
.
Food effect
.
KO mice
.
Chemical inhibitors
.
KO animals
.
Chemical inhibitors
.
Allometric scaling
.
Humanized animals.Chemical inhibitors
.
In situ intestinal
perfusion
In situ
.
Isolated intestinal
.
Isolated organ
.
Isolated liver
.
Isolated kidney
.
Isolated liver
Ex vivo and in vitro—
species specific
.
Intestinal sections
.
Tissue/plasma protein
binding
.
Intestinal sections
.
Kidney slices
.
Sandwiched
hepatocytes
.
Inverted intestinal
sacs
.
BBB/tissue
permeability models
.
Liver slices
.
Transfected cells
.
Transfected cells
.
Cell monolayers
.
Hepatocytes
.
Hepatocytes
.
Sandwiched
hepatocytes
.
Transfected cells
.
Microsomes
.
Membrane vesicles
.
S9
.
Artificial membranes
188
https://t.me/medicina_free
In vitro—nonspecies
specific
.
Albumin-
immobilized
columns
.
Recombinant
enzymes
.
Physicochemical
properties
.
Physicochemical
properties
.
Physicochemical
properties
.
Artificial membranes
.
Physicochemical
properties
.
Dissolution/solubility
.
Physicochemical
properties
In silico
.
Physicochemical
properties
.
Volume
.
Clearance
.
Renal clearance
.
Biliary clearance
.
Permeability
.
Protein binding
.
Sites of metabolism
.
Solubility
.
PK profile
.
Half-life
.
Absorption profile
.
Transporter SAR
.
Inhibition/induction
.
MAD
.
BBB uptake
.
Transporter SAR
.
Transporter SAR
.
MDR1
.
Allometric scaling
189
https://t.me/medicina_free
preclinical safety findings usually in multiple day in vivo toxicology screens in both rodent and nonrodent species. Plasma protein binding data should be available in efficacy models, safety species, and human so that unbound drug concentrations and multiples can be compared. A more detailed ADME evaluation of selected final dosage form of the com pound that is expected to be used for initial regulated toxicology studies and human dosing is conducted in several animal species including rodents and nonrodents.
As part of an early risk assessment, some mechanistic DDI studies may be conducted in human cell systems in vitro. Early comparisons of the metabolism of drug candidates in both in vitro human syst ems and in vitro and in vivo animal models are conducted to ensure the absence of unique human metabolites not present in animal species used for safety evaluation.
A significant number of additional studies are usually performed to support further development of a drug candidate and include more definitive radiolabeled ADME studies to assess metabolite profiles in humans and toxicology species, a broader safety evaluation of the drug candidate (e.g., longer term toxicology, reproductive toxicology, carcinogenicity, and juvenile toxicology), and special studies to address some specific issue of clinical development (e.g., metabolite safety, mechanistic understanding of an unexpected clinical finding).
4.7 TOOL SUMMARY FOR ASSESSING ADME PROPERTIES
The various ADME tools discussed in this chapter are provided as a quick reference (Table 4.5).
REFERENCES
1. Washington, N., Washington, C., and Wilson, C. Physiological Pharmaceutics: Barriers to Drug Absorption, 2nd Edition, Taylor & Francis Series in Pharmaceutical Sciences,
CRC, Boca Raton, FL, 2001, p. 328.
2. Ueda, C. T., Williamson, B. J., and Dzindzio, B. S. Absolute quinidine bioavailability. Clin. Pharmacol. Ther. 1976, 20(3), 260–265.
3. Paine, M. F., et al. First-pass metabolism of midazolam by the human intestine. Clin. Pharmacol. Ther. 1996, 60(1), 14–24.
4. Stegman, J. K. Stedman’s Medical Dictionary, 28th Edition, Lippincott Williams & Wilkins, Baltimore, MD, 2006, p. 2100.
5. Mishell, D. R., Jr., Pharmacokinetics of depot medroxyprogesterone acetate contracep­tion. J. Reprod. Med. 1996, 41(5), 381–390.
6. Brunton, L., Lazo, J., and Parker, K. Goodman & Gilman’s The Pharmacological Basis of Therapeutics, 11th Edition, McGraw-Hill Professional, New York, 2006.
7. Johnson, K. C. and Swindell, A. C. Guidance in the setting of drug particle size specifications to minimize variability in absorption. Pharm. Res. 1996, 13(12), 1795–1798.
190
ADME
https://t.me/medicina_free
8. Hilgers, A. R., et al. Predicting oral absorption of drugs: a case study with a novel class of antimicrobial agents. Pharm. Res. 2003, 20(8), 1149–1155.
9. Amidon, G. L., et al. A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability. Pharm. Res. 1995, 12(3), 413–420.
10. Lennernas, H. Human intestinal permeability. J. Pharm. Sci. 1998, 87(4), 403–410.
11. Avdeef, A. Physicochemical profiling (solubility, permeability and charge state). Curr. Top Med. Chem. 2001, 1(4), 277–351.
12. Hartmann, T., et al. ADME related profiling in 96 and 384 well plate format—a novel and robust HT-assay for the determination of lipophilicity and serum albumin binding. Curr. Drug. Deliv. 2006, 3(2), 181–192.
13. Lipinski, C. A., et al. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Deliv. Rev. 1997,
23, 3–25.
14. Lennernas, H. Modeling gastrointestinal drug absorption requires more in vivo biophar­maceutical data: experience from in vivo dissolution and permeability studies in humans. Curr. Drug Metab. 2007, 8(7), 645–657.
15. Ishizawa, T., Hayashi, M., and Awazu, S. Paracellular and transcellular permeabilities of fosfomycin across small intestinal membrane of rat and rabbit by voltage-clamp method. J. Pharmacobiodyn. 1991, 14(10), 583–589.
16. Hayashi, M., Tomita, M., and Awazu, S. Transcellular and paracellular contribution to transport processes in the colorectal route. Adv. Drug Deliv. Rev. 1997, 28, 191–204.
17. Grass, G. M. and Robinson, J. R. Mechanisms of corneal drug penetration. II: ultra­structural analysis of potential pathways for drug movement. J. Pharm. Sci. 1988, 77(1), 15–23.
18. Artursson, P., Ungell, A. L., and Lofroth, J. E. Selective paracellular permeability in two models of intestinal absorption: cultured monolayers of human intestinal epithelial cells and rat intestinal segments. Pharm. Res. 1993, 10(8), 1123–1129.
19. Mandagere, A. K., Thompson, T. N., and Hwang, K. K. Graphical model for estimating oral bioavailability of drugs in humans and other species from their Caco-2 permeability and in vitro liver enzyme metabolic stability rates. J. Med. Chem. 2002, 45 (2), 304–311.
20. van de Waterbeemd, H., Lennern€as, H., and Artursson, P. Drug Bioavailability: Estima­tion of Solubility, Permeability, Absorption and Bioavailability. In Methods and Prin- ciples in Medicinal Chemistry, Mannhold, R., Kubinyi, H.,and Folkers, G. (eds.), Wiley­VCH Verlag GmbH, Weinheim, 2003, xxiv, p. 579.
21. Bohets, H., et al. Strategies for absorption screening in drug discovery and development. Curr. Top Med. Chem. 2001, 1(5), 367–383.
22. Zhang, Y. and Benet, L. Z. The gut as a barrier to drug absorption: combined role of cytochrome P450 3A and P-glycoprotein. Clin. Pharmacokinet. 2001, 40(3), 159–168.
23. van de Kerkhof, E. G., de Graaf, I. A., and Groothuis, G. M. In vitro methods to study intestinal drug metabolism. Curr. Drug Metab. 2007, 8(7), 658–675.
24. Cummins, C. L., et al. In vivo modulation of intestinal CYP3A metabolism by P-glycoprotein: studies using the rat single-pass intestinal perfusion model. J. Pharmacol. Exp. Ther. 2003, 305(1), 306–314.
REFERENCES 191
https://t.me/medicina_free
25. Fisher, R. B. and Parsons, D. S. A preparation of surviving rat small intestine for the study of absorption. J. Physiol. 1949, 110(1–2), 36–46.
26. Dowty, M. E. and Dietsch, C. R. Improved prediction of in vivo peroral absorption from in vitro intestinal permeability using an internal standard to control for intra- and inter-rat variability. Pharm. Res. 1997, 14(12), 1792–1797.
27. Clarke, L. L. A guide to using chamber studies of mouse intestine. Am. J. Physiol. Gastrointest. Liver Physiol. 2009, 296(6), G1151–G1166.
28. Wilson, T. H. and Wiseman, G. The use of sacs of everted small intestine for the study of the transference of substances from the mucosal to the serosal surface. J. Physiol. 1954, 123(1), 116–125.
29. Artursson, P., Palm, K., and Luthman, K. Caco-2 monolayers in experimental and theoretical predictions of drug transport. Adv. Drug Deliv. Rev. 2001, 46(1–3), 27–43.
30. Zhu, C., et al. A comparative study of artificial membrane permeability assay for high throughput profiling of drug absorption potential. Eur. J. Med. Chem. 2002, 37(5), 399–407.
31. Tang, F., Horie, K., and Borchardt, R. T. Are MDCK cells transfected with the human MRP2 gene a good model of the human intestinal mucosa? Pharm. Res. 2002, 19(6), 773–779.
32. Volpe, D. A. Variability in Caco-2 and MDCK cell-based intestinal permeability assays. J. Pharm. Sci. 2008, 97(2), 712–725.
33. Wielinga, P. R., et al. In vitro transepithelial drug transport by on-line measurement: cellular control of paracellular and transcellular transport. J. Pharm. Sci. 1999, 88(12), 1340–1347.
34. Artursson, P. and Magnusson, C. Epithelial transport of drugs in cell culture. II: effect of extracellular calcium concentration on the paracellular transport of drugs of different lipophilicities across monolayers of intestinal epithelial (Caco-2) cells. J. Pharm. Sci. 1990, 79(7), 595–600.
35. Knipp, G. T.,et al. Paracellular diffusion in Caco-2 cell monolayers: effect of perturbation on the transport of hydrophilic compounds that vary in charge and size. J. Pharm. Sci. 1997, 86(10), 1105–1110.
36. Stevenson, B. R., et al. Tight junction structure and ZO-1 content are identical in two strains of Madin–Darby canine kidney cells which differ in transepithelial resistance. J. Cell. Biol. 1988, 107(6 Pt 1), 2401–2408.
37. Lazorova, L., et al. Quantification and imaging of mannitol transport through Caco-2 cell monolayers using a positron-emitting tracer. Pharm. Res. 1998, 15(7), 1141–1144.
38. Pidgeon, C. and Venkataram, U. V. Immobilized artificial membrane chromatography: supports composed of membrane lipids. Anal. Biochem. 1989, 176(1), 36–47.
39. Alvarez, F. M., et al. Immobilized Artificial Membrane Chromatography: Prediction of Drug Transport Across Biological Barriers. In Molecular Interactions in Bioseparations, In: Ngo, T. T. (ed.), Plenum Press, New York, 1993, pp. 151–167.
40. Kansy, M., Senner, F., and Gubernator, K. Physicochemical high throughput screening: parallel artificial membrane permeation assay in the description of passive absorption processes. J. Med. Chem. 1998, 41(7), 1007–1010.
41. Wohnsland, F. and Faller, B. High-throughput permeability pH profile and high-through­put alkane/water log P with artificial membranes. J. Med. Chem. 2001, 44(6), 923–930.
192
ADME
https://t.me/medicina_free
42. Valko, K., et al. Rapid-gradient HPLC method for measuring drug interactions with immobilized artificial membrane: comparison with other lipophilicity measures. J. Pharm. Sci. 2000, 89(8), 1085–1096.
43. Avdeef, A. High-Throughput Measurement of Permeability Profiles. In Drug Bioavail- ability: Estimation of Solubility, Permeability, Absorption and Bioavailability, van de Waterbeemd, H., Lennern€as, H.,and Artursson, P. (eds.), Wiley-VCH Verlag GmbH, Weinheim, 2003, pp. 46–71.
44. Kerns, E. H., et al. Combined application of parallel artificial membrane permeability assay and Caco-2 permeability assays in drug discovery. J. Pharm. Sci. 2004, 93(6), 1440–1453.
45. Stenberg, P., et al. Experimental and computational screening models for the prediction of intestinal drug absorption. J. Med. Chem. 2001, 44(12), 1927–1937.
46. Kerns, E.and Di, L. (eds.). Drug-Like Properties: Concepts, Structure Design and Methods: From ADME to Toxicity Optimization, Academic Press, New York, 2008, p. 552.
47. Tsuji, A. and Tamai, I. Carrier-mediated intestinal transport of drugs. Pharm. Res. 1996, 13(7), 963–977.
48. Terao, T., et al. Active secretion of drugs from the small intestinal epithelium in rats by P-glycoprotein functioning as an absorption barrier. J. Pharm. Pharmacol. 1996, 48(10), 1083–1089.
49. Chan, L. M., Lowes, S., and Hirst, B. H. The ABCs of drug transport in intestine and liver: efflux proteins limiting drug absorption and bioavailability. Eur. J. Pharm. Sci. 2004, 21 (1), 25–51.
50. Kim, H. R., et al. Comparative gene expression profiles of intestinal transporters in mice, rats and humans. Pharmacol. Res. 2007, 56(3), 224–236.
51. Cao, J., et al. Role of P-glycoprotein in the intestinal absorption of glabridin, an active flavonoid from the root of Glycyrrhiza glabra. Drug Metab. Dispos. 2007, 35(4), 539–553.
52. Takano, M., Yumoto, R., and Murakami, T. Expression and function of efflux drug transporters in the intestine. Pharmacol. Ther. 2006, 109(1–2), 137–161.
53. Zhang, L., et al. A regulatory viewpoint on transporter-based drug interactions. Xeno- biotica 2008, 38(7–8), 709–724.
54. Giacomini, K. M., et al. Membrane transporters in drug development: report from the FDA Critical Path Initiative Sponsored Workshop. Nat. Rev. Drug Discov. 2010, 9(3), 215–236.
55. Klaassen, C. D. and Lu, H. Xenobiotic transporters: ascribing function from gene knockout and mutation studies. Toxicol. Sci. 2008, 101(2), 186–196.
56. Chen, C., Liu, X., and Smith, B. J. Utility of Mdr1-gene deficient mice in assessing the impact of P-glycoprotein on pharmacokinetics and pharmacodynamics in drug discovery and development. Curr. Drug Metab. 2003, 4(4), 272–291.
57. Vlaming, M. L., et al. Carcinogen and anticancer drug transport by Mrp2 in vivo: studies using Mrp2 (Abcc2) knockout mice. J. Pharmacol. Exp. Ther.
2006, 318(1), 319–327.
58. van de Steeg, E., et al. Methotrexate pharmacokinetics in transgenic mice with liver­specific expression of human organic anion-transporting polypeptide 1B1 (SLCO1B1). Drug Metab. Dispos. 2009, 37(2), 277–281.
REFERENCES 193
https://t.me/medicina_free
59. Maubon, N., et al. Analysis of drug transporter expression in human intestinal Caco-2 cells by real-time PCR. Fundam. Clin. Pharmacol. 2007, 21(6), 659–663.
60. Keppler, D. Uptake and efflux transporters for conjugates in human hepatocytes. Methods Enzymol. 2005, 400, 531–542.
61. Sasaki, M., et al. Prediction of in vivo biliary clearance from the in vitro transcellular transport of organic anions across a double-transfected Madin–Darby canine kidney II monolayer expressing both rat organic anion transporting polypeptide 4 and multidrug resistance associated protein 2. Mol. Pharmacol. 2004, 66(3), 450–459.
62. Cui, Y., Konig, J., and Keppler, D. Vectorial transport by double-transfected cells expressing the human uptake transporter SLC21A8 and the apical export pump ABCC2. Mol. Pharmacol. 2001, 60(5), 934–943.
63. Bartholome, K., et al. Data-based mathematical modeling of vectorial transport across double-transfected polarized cells. Drug Metab. Dispos. 2007, 35(9), 1476–1481.
64. Ishikawa, T., et al. High-speed screening of human ATP-binding cassette transporter function and genetic polymorphisms: new strategies in pharmacogenomics. Methods Enzymol. 2005, 400, 485–510.
65. Xia, C. Q., Milton, M. N., and Gan, L. S. Evaluation of drug-transporter interactions using in vitro and in vivo models. Curr. Drug Metab. 2007, 8(4), 341–363.
66. Crivori, P., et al. Computational models for identifying potential P-glycoprotein sub­strates and inhibitors. Mol. Pharm. 2006, 3(1), 33–44.
67. Lai, Y., et al. Structure–activity relationships for interaction with multidrug resistance protein 2 (ABCC2/MRP2): the role of torsion angle for a series of biphenyl-substituted heterocycles. Drug Metab. Dispos. 2007, 35(6), 937–945.
68. Chang, C., et al. Pharmacophore-based discovery of ligands for drug transporters. Adv. Drug Deliv. Rev. 2006, 58(12–13), 1431–1450.
69. Ha, S. N., Hochman, J., and Sheridan, R. P. Mini review on molecular modeling of P-glycoprotein (P-gp). Curr. Top. Med. Chem. 2007, 7(15), 1525–1529.
70. Ekins, S., et al. In vitro and pharmacophore-based discovery of novel hPEPT1 inhibitors. Pharm. Res. 2005, 22(4), 512–517.
71. Polli, J. E., et al. Summary workshop report: bioequivalence, biopharmaceutics classi­fication system, and beyond. AAPS J. 2008, 10(2), 373–379.
72. Thummel, K. E., et al. Oral first-pass elimination of midazolam involves both gastro­intestinal and hepatic CYP3A-mediated metabolism. Clin. Pharmacol. Ther. 1996, 59(5), 491–502.
73. Wu, C. Y. and Benet, L. Z. Predicting drug disposition via application of BCS: transport/ absorption/elimination interplay and development of a biopharmaceutics drug disposition classification system. Pharm. Res. 2005, 22(1), 11–23.
74. van Herwaarden, A. E., et al. Knockout of cytochrome P450 3A yields new mouse models for understanding xenobiotic metabolism. J. Clin. Invest. 2007, 117(11), 3583–3592.
75. Kwon, Y. Handbook of Essential Pharmacokinetics, Pharmacodynamics and Drug Metabolism for Industrial Scientists. Kluwer Academic/Plenum Publishers, New York, NY, 2001.
76. Wong, W. W., et al. Measurement of extracellular water volume by bromide ion chromatography. Am. J. Clin. Nutr. 1989, 50(6), 1290–1294.
194
ADME
https://t.me/medicina_free
77. Brans, Y. W.,et al. Simultaneous estimation of neonatal total body water by antipyrine and H
2
(18)
O dilution. Biol. Neonate 1990, 58(3), 137–144.
78. Stopher, D. A., et al. The metabolism and pharmacokinetics of amlodipine in humans and animals. J. Cardiovasc. Pharmacol. 1988, 12(7), S55–S59.
79. Smith, D. A., Waterbeemd, H.v.d., and Walker, D. K. Pharmacokinetics and Metabolism in Drug Design. In Methods and Principles in Medicinal Chemistry, Vol. 13, Mannhold, R., Kubinyi, H.,and Timmerman H. (eds.), Wiley-VCH Verlag GmbH, Weinheim, 2001, xi, p. 64.
80. Stoeckli, M., Staab, D., and Schweitzer, A. Compound and metabolite distribution measured by MALDI mass spectrometric imaging in whole-body tissue sections. Int. J. Mass Spectrom. 2007, 260, 195–202.
81. Turk, D. and Szakacs, G. Relevance of multidrug resistance in the age of targeted therapy. Curr. Opin. Drug Discov. Devel. 2009, 12(2), 246–252.
82. Kratochwil, N. A., et al. Predicting plasma protein binding of drugs: a new approach. Biochem. Pharmacol. 2002, 64(9), 1355–1374.
83. Rowland, M. and Tozer, T. N. Clinical Pharmacokinetics: Concepts and Applications, 2nd Edition, Lea & Febiger, Philadelphia, PA, 1989.
84. Obach, R. S. Prediction of human clearance of twenty-nine drugs from hepatic micro­somal intrinsic clearance data: an examination of in vitro half-life approach and nonspecific binding to microsomes. Drug Metab. Dispos. 1999, 27(11), 1350–1359.
85. Hinderling, P. H. Red blood cells: a neglected compartment in pharmacokinetics and pharmacodynamics. Pharmacol. Rev. 1997, 49(3), 279–295.
86. Smith, D. A., Jones, B. C., and Walker, D. K. Design of drugs involving the concepts and theories of drug metabolism and pharmacokinetics. Med. Res. Rev. 1996, 16(3), 243–266.
87. Bertera, F. M., et al. Comparison of different pharmacodynamic models for PK-PD modeling of verapamil in renovascular hypertension. J. Pharmacol. Toxicol. Methods 2008, 57(3), 212–219.
88. Pacifici, G. M. and Viani, A. Methods of determining plasma and tissue binding of drugs. Pharmacokinetic consequences. Clin. Pharmacokinet. 1992, 23(6), 449–468.
89. Oravcova, J., Boehs, B., and Lindner, W. Drug-protein binding studies. New trends in analytical and experimental methodology. J. Chromatogr. B 1996, 677(1), 1–28.
90. Cohen, L. Plasma Protein-Binding Methods in Drug Discovery. In Optimization in Drug Discovery: In Vitro Methods, Yan Z.and Caldwell, G. (eds.), Humana Press, Totowa, NJ, 2004, pp. 111–122.
91. Banker, M. J., Clark, T. H., and Williams, J. A. Development and validation of a 96-well equilibrium dialysis apparatus for measuring plasma protein binding. J. Pharm. Sci. 2003, 92(5), 967–974.
92. Pardridge, W. M. Introduction to the Blood–Brain Barrier: Methodology, Biology, and Pathology, Cambridge University Press, Cambridge, UK, 1998, xiv, p. 486.
93. Cornford, E. M. and Hyman, S. Blood–brain barrier permeability to small and large molecules. Adv. Drug Deliv. Rev. 1999, 36(2–3), 145–163.
94. Hitchcock, S. A. and Pennington, L. D. Structure–brain exposure relationships. J. Med. Chem. 2006, 49(26), 7559–7583.
95. Pardridge, W. M. Blood–brain barrier delivery. Drug Discov. Today, 2007, 12(1–2), 54–61.
REFERENCES 195
https://t.me/medicina_free
96. Hammarlund-Udenaes, M., et al. On the rate and extent of drug delivery to the brain. Pharm. Res. 2008, 25(8), 1737–1750.
97. Chen, C., et al. P-glycoprotein limits the brain penetration of nonsedating but not sedating H1-antagonists. Drug Metab. Dispos. 2003, 31(3), 312–318.
98. Mahar Doan, K. M., et al. Passive permeability and P-glycoprotein-mediated efflux differentiate central nervous system (CNS) and non-CNS marketed drugs. J. Pharmacol. Exp. Ther. 2002, 303(3), 1029–1037.
99. Schinkel, A. H. P-Glycoprotein, a gatekeeper in the blood–brain barrier. Adv. Drug Deliv. Rev. 1999, 36(2–3), 179–194.
100. Liu, X., Chen, C., and Smith, B. J. Progress in brain penetration evaluation in drug discovery and development. J. Pharmacol. Exp. Ther. 2008, 325(2), 349–356.
101. Begley, D. J. ABC transporters and the blood–brain barrier. Curr. Pharm. Des. 2004, 10 (12), 1295–1312.
102. Pajeva, I. K. and Wiese, M. Pharmacophore model of drugs involved in P-glycoprotein multidrug resistance: explanation of structural variety (hypothesis). J. Med. Chem. 2002, 45(26), 5671–5686.
103. Varma,M. V. and Panchagnula, R. Prediction of in vivo intestinal absorption enhancement on P-glycoprotein inhibition, from rat in situ permeability. J. Pharm. Sci. 2005, 94(8), 1694–1704.
104. Kalvass, J. C. and Maurer, T. S. Influence of nonspecific brain and plasma binding on CNS exposure: implications for rational drug discovery. Biopharm. Drug Dispos. 2002, 23(8), 327–338.
105. Kalvass, J. C., Maurer, T. S., and Pollack, G. M. Use of plasma and brain unbound fractions to assess the extent of brain distribution of 34 drugs: comparison of unbound concentration ratios to in vivo P-glycoprotein efflux ratios. Drug Metab. Dispos. 2007, 35 (4), 660–666.
106. Liu, X. and Chen, C. Strategies to optimize brain penetration in drug discovery. Curr. Opin. Drug Discov. Devel. 2005, 8(4), 505–512.
107. Maurer, T. S., et al. Relationship between exposure and nonspecific binding of thirty-three central nervous system drugs in mice. Drug Metab. Dispos. 2005, 33(1), 175–181.
108. Summerfield, S. G., et al. Toward an improved prediction of human in vivo brain penetration. Xenobiotica 2008, 38(12), 1518–1535.
109. Watson, J., et al. Receptor occupancy and brain free fraction. Drug Metab. Dispos. 2009, 37(4), 753–760.
110. Martin, I. Prediction of blood–brain barrier penetration: are we missing the point? Drug Discov. Today 2004, 9(4), 161–162.
111. Ohe, T., et al. Effect of P-glycoprotein-mediated efflux on cerebrospinal fluid/plasma concentration ratio. Drug Metab. Dispos. 2003, 31(10), 1251–1254.
112. Liu, X., et al. Evaluation of cerebrospinal fluid concentration and plasma free concen­tration as a surrogate measurement for brain free concentration. Drug Metab. Dispos. 2006, 34(9), 1443–1447.
113. Liu, X., et al. Unbound drug concentration in brain homogenate and cerebral spinal fluid at steady state as a surrogate for unbound concentration in brain interstitial fluid. Drug Metab. Dispos. 2009, 37(4), 787–793.
196
ADME
https://t.me/medicina_free
114. Garberg, P., et al. In vitro models for the blood–brain barrier. Toxicol. In Vitro 2005, 19 (3), 299–334.
115. Johnson, M. D. and Anderson, B. D. In vitro models of the blood–brain barrier to polar permeants: comparison of transmonolayer flux measurements and cell uptake kinetics using cultured cerebral capillary endothelial cells. J. Pharm. Sci. 1999, 88(6), 620–625.
116. Vastag, M. and Keseru, G. M. Current in vitro and in silico models of blood–brain barrier penetration: a practical view. Curr. Opin. Drug Discov. Devel. 2009, 12(1), 115–124.
117. Wang, Q., et al. Evaluation of the MDR-MDCK cell line as a permeability screen for the blood–brain barrier. Int. J. Pharm. 2005, 288(2), 349–359.
118. Feng, B., et al. In vitro P-glycoprotein assays to predict the in vivo interactions of P-glycoprotein with drugs in the central nervous system. Drug Metab. Dispos. 2008, 36 (2), 268–275.
119. Schinkel, A. H., et al. P-glycoprotein in the blood–brain barrier of mice influences the brain penetration and pharmacological activity of many drugs. J. Clin. Invest. 1996, 97 (11), 2517–2524.
120. Doran, A., et al. The impact of P-glycoprotein on the disposition of drugs targeted for indications of the central nervous system: evaluation using the MDR1A/1B knockout mouse model. Drug Metab. Dispos. 2005, 33(1), 165–174.
121. Syvanen, S., et al. Species differences in blood–brain barrier transport of three positron emission tomography radioligands with emphasis on P-glycoprotein transport. Drug Metab. Dispos. 2009, 37(3), 635–643.
122. Roulet, A., et al. MDR1-deficient genotype in Collie dogs hypersensitive to the P-glycoprotein substrate ivermectin. Eur. J. Pharmacol. 2003, 460(2–3), 85–91.
123. Friden, M., et al. In vitro methods for estimating unbound drug concentrations in the brain interstitial and intracellular fluids. Drug Metab. Dispos. 2007, 35(9), 1711–1719.
124. Rowland, M. and Tozer, T. N. Clinical Pharmacokinetics: Concepts and Applications, 3rd Edition, Williams & Wilkins, Baltimore, MD, 1995, xiv, p. 601.
125. Shitara, Y., Horie, T., and Sugiyama, Y. Transporters as a determinant of drug clearance and tissue distribution. Eur. J. Pharm. Sci. 2006, 27(5), 425–446.
126. Parkinson, A. Biotransformation of Xenobiotics. In Casarett & Doull’s Toxicology: The Basic Science of Poisons, Klaassen, C. D. (ed.), McGraw-Hill Professional, New York, 2001, pp. 133–224.
127. Furge, L. L. and Guengerich, F. P. Cytochrome P450 enzymes in drug metabolism and chemical toxicology. Biochem. Mol. Biol. Educ. 2006, 32(2), 66–74.
128. Rendic, S. Summary of information on human CYP enzymes: human P450 metabolism data. Drug Metab. Rev. 2002,
34(1–2), 83–448.
129. Guengerich, F. P. Cytochrome p450 and chemical toxicology. Chem. Res. Toxicol. 2008, 21(1), 70–83.
130. Gibbs, M. A. and Hosea, N. A. Factors affecting the clinical development of cytochrome p450 3A substrates. Clin. Pharmacokinet. 2003, 42(11), 969–984.
131. Lewis, D. F. and Ito, Y. Human P450s involved in drug metabolism and the use of structural modelling for understanding substrate selectivity and binding affinity. Xeno- biotica 2009, 39(8), 625–635.
132. Anzenbacher, P. and Anzenbacherova, E. Cytochromes P450 and metabolism of xeno­biotics. Cell. Mol. Life Sci. 2001, 58(5–6), 737–747.
REFERENCES 197
https://t.me/medicina_free