An in vitro-in silico workflow for predicting renal clearance of PFAS.

Toxicol Appl Pharmacol

Department of Veterinary Physiology and Pharmacology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA. Electronic address:

Published: August 2024

AI Article Synopsis

  • PFAS have varying elimination half-lives in humans, influenced by factors like proximal tubule reabsorption, necessitating experimental studies for accurate renal clearance predictions.
  • To assess renal pharmacokinetics, several in vitro models were tested, including 96-well plates and more advanced fluidic microphysiological systems, using human renal cells and advanced modeling techniques.
  • The study found strong alignment between in vitro predictions and in vivo human clearance values, indicating that a combination of in vitro and in silico approaches can effectively differentiate PFAS based on their clearance rates.

Article Abstract

Per- and poly-fluoroalkyl substances (PFAS) have a wide range of elimination half-lives (days to years) in humans, thought to be in part due to variation in proximal tubule reabsorption. While human biomonitoring studies provide important data for some PFAS, renal clearance (CL) predictions for hundreds of PFAS in commerce requires experimental studies with in vitro models and physiologically-based in vitro-to-in vivo extrapolation (IVIVE). Options for studying renal proximal tubule pharmacokinetics include cultures of renal proximal tubule epithelial cells (RPTECs) and/or microphysiological systems. This study aimed to compare CL predictions for PFAS using in vitro models of varying complexity (96-well plates, static 24-well Transwells and a fluidic microphysiological model, all using human telomerase reverse transcriptase-immortalized and OAT1-overexpressing RPTECs combined with in silico physiologically-based IVIVE. Three PFAS were tested: one with a long half-life (PFOS) and two with shorter half-lives (PFHxA and PFBS). PFAS were added either individually (5 μM) or as a mixture (2 μM of each substance) for 48 h. Bayesian methods were used to fit concentrations measured in media and cells to a three-compartmental model to obtain the in vitro permeability rates, which were then used as inputs for a physiologically-based IVIVE model to estimate in vivo CL. Our predictions for human CL of PFAS were highly concordant with available values from in vivo human studies. The relative values of CL between slow- and faster-clearance PFAS were most highly concordant between predictions from 2D culture and corresponding in vivo values. However, the predictions from the more complex model (with or without flow) exhibited greater concordance with absolute CL. Overall, we conclude that a combined in vitro-in silico workflow can predict absolute CL values, and effectively distinguish between PFAS with slow and faster clearance, thereby allowing prioritization of PFAS with a greater potential for bioaccumulation in humans.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11585971PMC
http://dx.doi.org/10.1016/j.taap.2024.117015DOI Listing

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