0
Article Tier 2 Environmental Sources Food & Water Human Health Effects Marine & Wildlife Nanoplastics Policy & Risk Sign in to save

A critical review of nanoplastic bioaccumulation data and a unified toxicokinetic model: from teleosts to human brain

AI summary Read the abstract

Researchers developed a toxicokinetic model using teleost fish uptake and depuration data to project how nanoplastics accumulate in human organs over a lifetime of chronic exposure. The model predicted that brain concentrations could reach ecologically concerning levels given current exposure estimates, and identified the gut-to-blood transfer rate as the key parameter governing long-term tissue accumulation.

Body Systems
Models

Nanoplastics (NP) are now detected in human blood and organs at concentrations reaching hundreds to thousands of parts per million, yet no quantitative framework has linked short-term laboratory uptake kinetics to long-term, organ-specific bioaccumulation in humans. Here we develop a minimal, mechanistically grounded toxicokinetic model that represents organisms as a sequential two-compartment system comprising a systemic gate-blood compartment governing entry and circulation, and organ-level tissue compartments controlling retention. Reanalysis of six independent uptake and depuration datasets in teleost fish (spanning four species, multiple organs, particle sizes from 20 to 500~nm, and exposure concentrations across four orders of magnitude) reveals a striking data collapse when expressed in normalized variables. This collapse shows that uptake dynamics are universally governed by a single dimensionless parameter, the systemic excretion capacity, which is generically small under experimental conditions, implying prolonged systemic residence of NP. Exploiting the scale-free structure of the model, we extrapolate these kinetics to humans and demonstrate that direct exposure from air and water cannot account for reported organ burdens, even under conservative assumptions of negligible clearance. Instead, mass-balance constraints identify dietary intake as the dominant pathway for systemic loading. At steady state, human organ concentrations follow a robust cubic scaling with tissue lipid fraction, yielding blood-to-brain enrichment factors of order $10^{3}$--$10^{4}$. This lipid-mediated enrichment, combined with inefficient systemic depuration, explains why the brain emerges as a dominant sink for environmental nanoplastics. Our results establish a unified, predictive toxicokinetic framework that quantitatively bridges short-term animal experiments and chronic human bioaccumulation.

More Papers Like This

Article Tier 2

Analytical review of nanoplastic bioaccumulation data and a unified toxicokinetic model: from teleosts to human brain

AI summary Read the abstract

Researchers compiled nanoplastic bioaccumulation data from teleost fish studies and developed a unified two-compartment toxicokinetic model to project long-term accumulation in human organs, including the brain. Model projections suggested that chronic low-level nanoplastic exposure could lead to tissue concentrations in the range of parts per million in the human brain over decades.

Article Tier 2

Analytical review of nanoplastic bioaccumulation data and a unified toxicokinetic model: from teleosts to human brain

AI summary Read the abstract

Researchers developed a unified mathematical model to describe how nanoplastics accumulate in organs across species, from fish to humans. By analyzing existing uptake and depuration data, they found that nanoplastic accumulation dynamics follow a universal pattern governed by a single parameter related to the body's excretion capacity. The model suggests that reported concentrations of nanoplastics in human organs, particularly the brain, are consistent with predicted accumulation trajectories from environmental exposure.

Article Tier 2

Exploring the potential and challenges of developing physiologically-based toxicokinetic models to support human health risk assessment of microplastic and nanoplastic particles

AI summary Read the abstract

This review explores the challenge of building computer models to predict how micro- and nanoplastics move through the human body after being inhaled, swallowed, or absorbed through the skin. While particle size and surface chemistry are well-studied, factors like shape, polymer type, and biological coatings need more attention. The authors propose a framework for a physiologically-based model that could help scientists better estimate how much plastic actually reaches human tissues.

Article Tier 2

A Hybrid Perfusion-Diffusion based PBK model for the distribution of nano- and microplastics in the human body

AI summary Read the abstract

Researchers developed a hybrid physiologically-based kinetic model to predict the distribution of nano- and microplastic particles in the human body after ingestion. The model integrates perfusion and diffusion processes to estimate tissue-specific particle concentrations across different exposure scenarios.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper