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Record W4415957292 · doi:10.1186/s12989-025-00647-4

A systematic review of the potential neurotoxicity of micro-and nanoplastics: the known and unknown

2025· review· en· W4415957292 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueParticle and Fibre Toxicology · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsOkanagan University CollegeUniversity of British ColumbiaMcGill University and Génome Québec Innovation CentreKelowna General HospitalMcGill UniversityUniversity of British Columbia, Okanagan Campus
Fundersnot available
KeywordsNeurotoxicityAdverse Outcome PathwayHuman healthInclusion (mineral)Adverse effectRisk assessmentHuman studies

Abstract

fetched live from OpenAlex

BACKGROUND: The escalating accumulation of micro- and nanoplastics (MNPs) in the environment has raised significant concerns regarding their neurotoxic potential in vertebrates. This critical review synthesizes evidence from 234 original research articles across aquatic and terrestrial models, as well as in vitro systems, to evaluate the impacts of MNPs on the brain. MAIN BODY: Emerging data suggest that MNPs may reach the brain via olfactory translocation or by penetrating the blood-brain barrier, potentially facilitated by biomolecular corona formation. However, distribution kinetics, long-term retention, and true internal exposure levels remain unresolved. We highlight that neurotoxic outcomes, such as oxidative stress, cholinergic dysfunction, neurotransmitter imbalances, and neuronal apoptosis, vary widely depending on particle size, shape, polymer type, exposure concentration, and host species. Nevertheless, inconsistencies across models and experimental conditions, such as mismatches between oxidative stress markers and behavioral effects or lack of dose-response relationships, hinder mechanistic clarity and translational relevance to human health. Notably, most current studies employ spherical polystyrene particles at supraphysiological concentrations, limiting ecological and clinical extrapolation. Interactions with microbial biofilms and host microbiota are largely unexplored, despite their probable role in modulating neurotoxicity via the gut-brain axis. Moreover, most studies rely on analytical methods validated only for microplastic detection, while robust, standardized approaches for identifying nanoplastics in environmental and biological matrices remain lacking. These gaps hinder accurate exposure quantification, obscure tissue-specific accumulation patterns, and complicate human health risk estimation. CONCLUSION: To advance the field, we recommend comprehensive physicochemical characterization of MNPs, adoption of environmentally relevant exposure scenarios, inclusion of diverse polymer types and shapes, and mechanistic integration through multi-omics and adverse outcome pathway frameworks. Addressing these challenges through harmonized methodologies and interdisciplinary collaboration is essential for developing predictive models of MNP-induced neurotoxicity and informing human health risk assessments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.116
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.242
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it