Publication Date

10-10-2023

Journal

Environmental Science & Technology

DOI

10.1021/acs.est.3c02765

PMID

37756184

PMCID

PMC10591710

PubMedCentral® Posted Date

10-23-2023

PubMedCentral® Full Text Version

Author MSS

Published Open-Access

yes

Keywords

Animals, Humans, Adolescent, Alkanesulfonic Acids, Cohort Studies, Liver, Fluorocarbons, Bariatric Surgery, Environmental Pollutants, PFAS, human exposure, biopsy samples, liver accumulation, correlation, toxicokinetics

Abstract

Animal studies have pointed at the liver as a hotspot for per- and polyfluoroalkyl substances (PFAS) accumulation and toxicity, however, these findings have not been replicated in human populations. We measured concentrations of seven PFAS in matched liver and plasma samples collected at the time of bariatric surgery from 64 adolescents in the Teen-Longitudinal Assessment of Bariatric Surgery (Teen-LABS) study. Liver:plasma concentrations ratios were perfectly explained (r2 > 0.99) in a multi-linear regression (MLR) model based on toxicokinetic (TK) descriptors consisting of binding to tissue constituents and membrane permeabilities. Of the seven matched plasma and liver PFAS concentrations compared in this study, the liver:plasma concentration ratio of perfluoroheptanoic acid (PFHpA) was considerably higher than the liver:plasma concentration ratio of other PFAS congeners. Comparing the MLR model with an equilibrium mass balance model (MBM) suggested that complex kinetic transport processes are driving the unexpectedly high liver:plasma concentration ratio of PFHpA. Intra-tissue MBM modeling pointed to membrane lipids as the tissue constituents that drive the liver accumulation of long-chain, hydrophobic PFAS, whereas albumin binding of hydrophobic PFAS dominated PFAS distribution in plasma. The liver:plasma concentration dataset, empirical MLR model, and mechanistic MBM modeling allow the prediction of liver from plasma concentrations measured in human cohort studies. Our study demonstrates that combining biomonitoring data with mechanistic modeling can identify underlying mechanisms of internal distribution and specific target organ toxicity of PFAS in humans.

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