Bridging the gap between in silico and in vivo by modeling opioid disposition in a kidney proximal tubule microphysiological system
Abstract Opioid overdose, dependence, and addiction are a major public health crisis. Patients with chronic kidney disease (CKD) are at high risk of opioid overdose, therefore novel methods that provide accurate prediction of renal clearance (CLr) and systemic disposition of opioids in CKD patients...
Guardado en:
Autores principales: | Tomoki Imaoka, Weize Huang, Sara Shum, Dale W. Hailey, Shih-Yu Chang, Alenka Chapron, Catherine K. Yeung, Jonathan Himmelfarb, Nina Isoherranen, Edward J. Kelly |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/db5ac2fbd58248ce8a1251ee6b9e7c7a |
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