Evidence map›Paper›PMID 39614364›Full record

ReviewParticle and fibre toxicology2024

Towards a risk assessment framework for micro- and nanoplastic particles for human health.

Amelie Vogel, Jutta Tentschert, Raymond Pieters, Francesca Bennet, Hubert Dirven, Annemijne van den Berg, Esther Lenssen, Maartje Rietdijk, Dirk Broßell, Andrea Haase

Abstract readReview
In one paragraph

Review in Particle and fibre toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Amelie VogelDepartment of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Jutta TentschertDepartment of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Raymond PietersInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Francesca BennetDepartment of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Hubert DirvenDepartment of Environmental Health, Norwegian Institute of Public Health (NPIH), Oslo, Norway.
Annemijne van den BergInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Esther LenssenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Maartje RietdijkAmsterdam UMC, Amsterdam, The Netherlands.
Dirk BroßellFederal Institute for Occupational Safety and Health (BAuA), Berlin, Germany.
Andrea HaaseDepartment of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany. andrea.haase@bfr.bund.de.

Funding

EU Horizon 2020 POLYRISK 964766
6 · The paper itself

Abstract

backgroundHuman exposure to micro- and nanoplastic particles (MNPs) is inevitable but human health risk assessment remains challenging for several reasons. MNPs are complex mixtures of particles derived from different polymer types, which may contain plenty of additives and/or contaminants. MNPs cover broad size distributions and often have irregular shapes and morphologies. Moreover, several of their properties change over time due to aging/ weathering. Case-by-case assessment of each MNP type does not seem feasible, more straightforward methodologies are needed. However, conceptual approaches for human health risk assessment are rare, reliable methods for exposure and hazard assessment are largely missing, and meaningful data is scarce.

methodsHere we reviewed the state-of-the-art concerning risk assessment of chemicals with a specific focus on polymers as well as on (nano-)particles and fibres. For this purpose, we broadly screened relevant knowledge including guidance documents, standards, scientific publications, publicly available reports. We identified several suitable concepts such as: (i) polymers of low concern (PLC), (ii) poorly soluble low toxicity particles (PSLT) and (iii) fibre pathogenicity paradigm (FPP). We also aimed to identify promising methods, which may serve as a reasonable starting point for a test strategy. RESULTS AND

conclusionHere, we propose a state-of-the-art modular risk assessment framework for MNPs, focusing primarily on inhalation as a key exposure route for humans that combines several integrated approaches to testing and assessment (IATAs). The framework starts with basic physicochemical characterisation (step 1), followed by assessing the potential for inhalative exposure (step 2) and includes several modules for toxicological assessment (step 3). We provide guidance on how to apply the framework and suggest suitable methods for characterization of physicochemical properties, exposure and hazard assessment. We put special emphasis on new approach methodologies (NAMs) and included grouping, where adequate. The framework has been improved in several iterative cycles by taking into account expert feedback and is currently being tested in several case studies. Overall, it can be regarded as an important step forward to tackle human health risk assessment.

Indexed as

MicroplasticsNanoparticlesAnimalsEnvironmental ExposureHumansInhalation ExposureParticle SizeRisk AssessmentMicroplasticsHuman healthIntegrated approaches to testing and assessment (IATAs)MicroplasticsNanoplasticsPolymers of low concern (PLC)Poorly soluble low toxicity particles (PSLT)Risk assessment

Identifiers

PMID39614364
PMCPMC11606215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.