Monitoring endogenous
biomarkers is increasingly used to evaluate transporter-mediated
drug-drug interactions (DDIs) in early
drug development and may be applied to elucidate changes in transporter activity in disease.
4-pyridoxic acid (PDA) has been identified as the most sensitive plasma endogenous
biomarker of renal
organic anion transporters (OAT1/3). Increase in PDA baseline concentrations was observed after administration of
probenecid, a strong clinical inhibitor of OAT1/3 and also in patients with
chronic kidney disease (CKD). The aim of this study was to develop and verify a physiologically-based pharmacokinetic (PBPK) model of PDA, to predict the magnitude of
probenecid DDI and predict the CKD-related changes in PDA baseline. The PBPK model for PDA was first developed in healthy population, building on from previous population pharmacokinetic modeling, and incorporating a mechanistic kidney model to consider OAT1/3-mediated renal secretion.
Probenecid PBPK model was adapted from the Simcyp database and re-verified to capture its dose-dependent pharmacokinetics (n = 9 studies). The PBPK model successfully predicted the PDA plasma concentrations, area under the curve, and renal clearance in healthy subjects at baseline and after single/multiple
probenecid doses. Prospective simulations in severe CKD predicted successfully the increase in PDA plasma concentration relative to healthy (within 2-fold of observed data) after accounting for 60% increase in fraction unbound in plasma and additional 50% decline in OAT1/3 activity beyond the decrease in glomerular filtration rate. The verified PDA PBPK model supports future robust evaluation of OAT1/3 DDI in
drug development and increases our confidence in predicting exposure and renal secretion in patients with CKD.