A linked physiologically based pharmacokinetic model for hydroxychloroquine and metabolite desethylhydroxychloroquine in SARS‐CoV‐2(−)/(+) populations
Abstract Hydroxychloroquine (HCQ) is Food and Drug Administration (FDA)‐approved for malaria, systemic and chronic discoid lupus erythematosus, and rheumatoid arthritis. Because HCQ has a proposed multimodal mechanism of action and a well‐established safety profile, it is often investigated as a rep...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-07-01
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| Series: | Clinical and Translational Science |
| Online Access: | https://doi.org/10.1111/cts.13527 |
| Summary: | Abstract Hydroxychloroquine (HCQ) is Food and Drug Administration (FDA)‐approved for malaria, systemic and chronic discoid lupus erythematosus, and rheumatoid arthritis. Because HCQ has a proposed multimodal mechanism of action and a well‐established safety profile, it is often investigated as a repurposed therapeutic for a range of indications. There is a large degree of uncertainty in HCQ pharmacokinetic (PK) parameters which complicates dose selection when investigating its use in new disease states. Complications with HCQ dose selection emerged as multiple clinical trials investigated HCQ as a potential therapeutic in the early stages of the COVID‐19 pandemic. In addition to uncertainty in baseline HCQ PK parameters, it was not clear if disease‐related consequences of SARS‐CoV‐2 infection/COVID‐19 would be expected to impact the PK of HCQ and its primary metabolite desethylhydroxychloroquine (DHCQ). To address the question whether SARS‐CoV‐2 infection/COVID‐19 impacted HCQ and DHCQ PK, dried blood spot samples were collected from SARS‐CoV‐2(−)/(+) participants administered HCQ. When a previously published physiologically based pharmacokinetic (PBPK) model was used to fit the data, the variability in exposure of HCQ and DHCQ was not adequately captured and DHCQ concentrations were overestimated. Improvements to the previous PBPK model were made by incorporating the known range of blood to plasma concentration ratios (B/P) for each compound, adjusting HCQ and DHCQ distribution settings, and optimizing DHCQ clearance. The final PBPK model adequately captured the HCQ and DHCQ concentrations observed in SARS‐CoV‐2(−)/(+)participants, and incorporating COVID‐19‐associated changes in cytochrome P450 activity did not further improve model performance for the SARS‐CoV‐2(+) population. |
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| ISSN: | 1752-8054 1752-8062 |