Objectives: To evaluate the population pharmacokinetics of different benznidazole treatment regimens and the drug’s biodistribution in mice. Methods: Two hundred mice were divided into five groups according to benznidazole dosing regimens: (1) 100 mg/kg/day for 20 days; (2) 100 mg/kg/day for 40 days; (3) 200 mg/kg/day for 20 days; (4) 40 mg/kg/day for 20 days; or (5) 40 mg/kg/day for 40 days. The mice were euthanized and blood, heart, liver, colon and brain were collected. Samples were prepared by liquid-liquid extraction and analysed by HPLC-diode-array detection. The pharmacokinetic analysis of benznidazole was evaluated via non-linear mixed-effects modelling using the NONMEN program. Results: Our results demonstrate that mouse weight allometrically influences benznidazole clearance; the AUC curve and the highest plasma concentration are dose proportional; benznidazole does not influence its own metabolism; its tissue distribution is limited; and the standard treatment regimen for Chagas’ disease in mice (100 mg/kg/day for 20 days) is inadequate from a pharmacokinetic standpoint, as are the other regimens tested in this study (100 mg/kg/day for 40 days, 200 mg/kg/day for 20 days and 40 mg/kg/day for 20 or 40 days). Conclusions: Benznidazole reformulations that allow better tissue penetration and plasma and tissue exposure should be evaluated to enable higher cure rates in both animals and patients. The population pharmacokinetic model developed here can allow optimization of the dosing regimen of benznidazole to treat experimental Chagas’ disease. Determining appropriate treatment regimens in animals allows translation of these to clinical studies.

The present study assessed the effect of systemic lupus erythematosus (SLE) activity, a chronic and inflammatory autoimmune disease, on the sinusoidal uptake transporter OATP1B1 using atorvastatin (ATV) as a probe drug. Fifteen healthy subjects, 13 patients with controlled SLE (SLEDAI 0–4), and 12 patients with uncontrolled SLE (SLEDAI from 6 to 15), all women, were investigated. Apparent total clearance of midazolam (MDZ), a marker of CYP3A4 activity, did not vary among the three investigated groups. The controlled and uncontrolled SLE groups showed higher plasma concentrations of MCP‐1 and TNF‐α, while the uncontrolled SLE group also showed higher plasma concentrations of IL‐10. The uncontrolled SLE group showed higher area under the curve (AUC) for ATV (60.47 (43.76–83.56) vs. 30.56 (22.69–41.15) ng⋅hour/mL) and its inactive metabolite ATV‐lactone (98.74 (74.31–131.20) vs. 49.21 (34.89–69.42) ng⋅hour/mL), and lower apparent total clearance (330.7 (239.30–457.00) vs. 654.5 (486.00–881.4) L/hour) and apparent volume of distribution (2,609 (1,607–4,234) vs. 7,159 (4,904–10,450) L), when compared to the healthy subjects group (geometric mean and 95% confidence interval). The pharmacokinetics of ATV and its metabolites did not differ between the healthy subject group and the patients with controlled SLE group. In conclusion, uncontrolled SLE increased the systemic exposure to both ATV and ATV‐lactone, inferring inhibition of OATP1B1 activity, once in vivo CYP3A4 activity assessed by oral clearance of MDZ was unaltered. The inflammatory state, not the disease itself, was responsible for the changes described in the uncontrolled SLE group as a consequence of inhibition of OATP1B1, because systemic exposure to ATV and its metabolites were not altered in patients with controlled SLE.