Author: Rowland Yeo, Karen; Zhang, Mian; Pan, Xian; Ban Ke, Alice; Jones, Hannah M; Wesche, David; Almond, Lisa M
Title: Impact of disease on plasma and lung exposure of chloroquine, hydroxyâ€chloroquine and azithromycin: application of PBPK modelling Cord-id: ncyhvkwl Document date: 2020_6_12
ID: ncyhvkwl
Snippet: We use a mechanistic lung model to demonstrate that accumulation of chloroquine (CQ), hydroxychloroquine (HCQ) and azithromycin (AZ) in the lungs is sensitive to changes in lung pH, a parameter that can be affected in patients with COVIDâ€19. A reduction in pH from 6.7 to 6 in the lung, as observed in respiratory disease, led to 20â€, 4.0†and 2.7â€fold increases in lung exposure of CQ, HCQ and AZ, respectively. Simulations indicated that the relatively high concentrations of CQ and HCQ in
Document: We use a mechanistic lung model to demonstrate that accumulation of chloroquine (CQ), hydroxychloroquine (HCQ) and azithromycin (AZ) in the lungs is sensitive to changes in lung pH, a parameter that can be affected in patients with COVIDâ€19. A reduction in pH from 6.7 to 6 in the lung, as observed in respiratory disease, led to 20â€, 4.0†and 2.7â€fold increases in lung exposure of CQ, HCQ and AZ, respectively. Simulations indicated that the relatively high concentrations of CQ and HCQ in lung tissue were sustained long after administration of the drugs had stopped. Patients with COVIDâ€19 often present with kidney failure. Our simulations indicate that renal impairment (plus lung pH reduction) caused 30â€, 8.0†and 3.4â€fold increases in lung exposures for CQ, HCQ and AZ, respectively, with relatively small accompanying increases (20 to 30%) in systemic exposure. Although a number of different dosage regimens were assessed, the purpose of our study was not to provide recommendations for a dosing strategy, but to demonstrate the utility of a PBPK modelling approach to estimate lung concentrations. This, used in conjunction with robust in vitro and clinical data, can help in the assessment of COVIDâ€19 therapeutics going forward.
Search related documents:
Co phrase search for related documents, hyperlinks ordered by date