Jan-Willem Alffenaar

Background Global emergence of rapidly developing resistance to multiple antifungal drugs and high mortality pose challenges to the treatment of invasive Candida auris infections. New therapeutic approaches are needed, such as repurposing drugs including combination with antifungals. Statins have been reported to exert antifungal effects against various Candida species. Objectives Our study investigated potential synergy between the statins (rosuvastatin and fluvastatin) and azoles (voriconazole, posaconazole and isavuconazole) on clinical isolates of C. auris. Methods Twenty-one clinical isolates of C. auris were obtained. Chequerboard assays based on the CLSI broth microdilution method were used to assess synergy based on FIC index (FICI) calculations of MICs of individual drugs and in combinations. Results Single drug geometric mean (GM) MICs of fluvastatin and rosuvastatin were ≥128 mg/L in all 21 isolates. GM (range) MICs of posaconazole, voriconazole and isavuconazole were 0.259 (0.016–1 mg/L), 0.469 (0.016–2 mg/L) and 0.085 (0.004–1 mg/L), respectively. Combination of azoles with fluvastatin showed synergy in 70%–90% of C. auris isolates. In particular, voriconazole/fluvastatin resulted in 16-fold reduction in voriconazole MIC and synergy in 14/21 (67%) isolates. Posaconazole/fluvastatin resulted in 8-fold reduction in posaconazole MIC and synergy in 19/21 (90%) isolates. Combining rosuvastatin with the azoles also showed synergy against C. auris in 40%–60% of the isolates and additive effect in 40%–50%. None of the combinations was antagonistic. Conclusions Our results provide a rationale for pursuing in vivo synergy tests as well as clinical studies to explore tolerability, treatment outcomes, optimal dose and exposure targets.

The aim of this study was to evaluate the difference in drug exposure of rifampicin in native versus non-native Paraguayan populations using dried blood spots (DBS) samples collected utilizing a limited sampling strategy. This was a prospective pharmacokinetic study that enrolled hospitalized tuberculosis (TB) patients from both native and non-native populations receiving oral rifampicin 10 mg/kg once-daily dosing. Steady-state DBS samples were collected at 2, 4, and 6 h after intake of rifampicin. The area under the time concentration curve 0–24 h (AUC0–24) was calculated using a Bayesian population PK model. Rifampicin AUC0–24 < 38.7 mg*h/L was considered as low. The probability of target attainment (PTA) was calculated using AUC0–24/MIC > 271 as a target and estimated MIC values of 0.125 and 0.25 mg/L. In total, 50 patients were included. Native patients (n = 30) showed comparable drug exposure to the non-natives (n = 20), median AUC0–24 24.7 (17.1–29.5 IQR) and 21.6 (15.0–35.4 IQR) mg*h/L (p = 0.66), respectively. Among total patients, only 16% (n = 8) had a rifampicin AUC0–24 > 38.7 mg*h/L. Furthermore, PTA analysis showed that only 12 (24%) of the patients met a target AUC0–24 /MIC ≥ 271, assuming an MIC of 0.125 mg/L, which plummeted to 0% at a wild-type MIC of 0.25 mg/L. We successfully used DBS and limited sampling for the AUC0–24 estimation of rifampicin. Currently, our group, the EUSAT-RCS consortium, is preparing a prospective multinational, multicenter phase IIb clinical trial evaluating the safety and efficacy of high-dose rifampicin (35 mg/kg) in adult subjects using the DBS technique for AUC0–24 estimation.