Metabolite profiling and pharmacokinetic evaluation of hydrocortisone in a perfused 3D human liver bioreactor
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Sarkar - Metabolite profiling.pdf
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Author(s) • • • • • • • • •
Sarkar, Ujjal
Rivera-Burgos, Dinelia
Large, Emma M.
Hughes, David J.
Kodihalli, Ravindra
Dyer, Rachel Lee
Ebrahimkhani, Mohammad Reza
Wishnok, John S.
Griffith, Linda G.
Tannenbaum, Steven Robert
Date Issued
April 2015
Journal
Drug Metabolism and Disposition
Publisher
American Society for Pharmacology & Experimental Therapeutics (ASPET)
Citation
Sarkar, U., D. Rivera-Burgos, E. M. Large, D. J. Hughes, K. C. Ravindra, R. L. Dyer, M. R. Ebrahimkhani, J. S. Wishnok, L. G. Griffith, and S. R. Tannenbaum. “Metabolite Profiling and Pharmacokinetic Evaluation of Hydrocortisone in a Perfused 3D Human Liver Bioreactor.” Drug Metabolism and Disposition (April 29, 2015).
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Author's final manuscript
Abstract
Endotoxin lipopolysaccharide (LPS) is known to cause liver injury primarily involving inflammatory cells such as Kupffer cells, but few in vitro culture models are applicable for investigation of inflammatory effects on drug metabolism. We have developed a 3D human microphysiological hepatocyte-Kupffer-cell coculture system and evaluated the anti-inflammatory effect of glucocorticoids on liver cultures. LPS was introduced to the cultures to elicit an inflammatory response and assessed by the release of pro-inflammatory cytokines, IL6 and TNFα. A sensitive and specific RP-UHPLC-QTOF-MS method was used to evaluate hydrocortisone disappearance and metabolism at near physiological levels. For this, the systems were dosed with 100 nM hydrocortisone and circulated for two days; hydrocortisone was depleted to approximately 30 nM, with first-order kinetics. Phase I metabolites, including tetrahydrocortisone and dihydrocortisol, accounted for 8-10 % of the loss, and 45-52 % was phase II metabolites, including glucuronides of tetrahydrocortisol and tetrahydrocortisone. Pharmacokinetic parameters, i.e., half-life (t1/2), rate of elimination (kel), clearance (CL), and area under the curve (AUC), were 23.03 h, 0.03 h-1, 6.6x10-5 L. h-1 and 1.03 mg/L*h respectively. The ability of the bioreactor to predict the in vivo clearance of hydrocortisone was characterized and the obtained intrinsic clearance values correlated with human data. This system offers a physiologically-relevant tool for investigating hepatic function in an inflamed liver. Endotoxin lipopolysaccharide (LPS) is known to cause liver injury primarily involving inflammatory cells such as Kupffer cells, but few in vitro culture models are applicable for investigation of inflammatory effects on drug metabolism. We have developed a 3D human microphysiological hepatocyte-Kupffer-cell coculture system and evaluated the anti-inflammatory effect of glucocorticoids on liver cultures. LPS was introduced to the cultures to elicit an inflammatory response and assessed by the release of pro-inflammatory cytokines, IL6 and TNFα. A sensitive and specific RP-UHPLC-QTOF-MS method was used to evaluate hydrocortisone disappearance and metabolism at near physiological levels. For this, the systems were dosed with 100 nM hydrocortisone and circulated for two days; hydrocortisone was depleted to approximately 30 nM, with first-order kinetics. Phase I metabolites, including tetrahydrocortisone and dihydrocortisol, accounted for 8-10 % of the loss, and 45-52 % was phase II metabolites, including glucuronides of tetrahydrocortisol and tetrahydrocortisone. Pharmacokinetic parameters, i.e., half-life (t[subscript 1/2]), rate of elimination (k[subscript el]), clearance (CL), and area under the curve (AUC), were 23.03 h, 0.03 h[superscript -1], 6.6x10[superscript -5] L. h-1 and 1.03 mg/L*h respectively. The ability of the bioreactor to predict the in vivo clearance of hydrocortisone was characterized and the obtained intrinsic clearance values correlated with human data. This system offers a physiologically-relevant tool for investigating hepatic function in an inflamed liver.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Department of Mechanical Engineering
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DOI of Published Version
https://doi.org/10.1124/dmd.115.063495