Evidence map›Paper›PMID 25975987›Full record

ReviewArchives of toxicology2015

Progress and future of in vitro models to study translocation of nanoparticles.

Hedwig M Braakhuis, Samantha K Kloet, Sanja Kezic, Frieke Kuper, Margriet V D Z Park, Susann Bellmann, Meike van der Zande, Séverine Le Gac, Petra Krystek, Ruud J B Peters and 2 more

Abstract readReview
In one paragraph

Review in Archives of toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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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

12 authors.

Hedwig M BraakhuisDepartment of Toxicogenomics, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
Samantha K Kloet
Sanja Kezic
Frieke Kuper
Margriet V D Z Park
Susann Bellmann
Meike van der Zande
Séverine Le Gac
Petra Krystek
Ruud J B Peters
Ivonne M C M Rietjens
Hans Bouwmeester

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing use of nanoparticles in products likely results in increased exposure of both workers and consumers. Because of their small size, there are concerns that nanoparticles unintentionally cross the barriers of the human body. Several in vivo rodent studies show that, dependent on the exposure route, time, and concentration, and their characteristics, nanoparticles can cross the lung, gut, skin, and placental barrier. This review aims to evaluate the performance of in vitro models that mimic the barriers of the human body, with a focus on the lung, gut, skin, and placental barrier. For these barriers, in vitro models of varying complexity are available, ranging from single-cell-type monolayer to multi-cell (3D) models. Only a few studies are available that allow comparison of the in vitro translocation to in vivo data. This situation could change since the availability of analytical detection techniques is no longer a limiting factor for this comparison. We conclude that to further develop in vitro models to be used in risk assessment, the current strategy to improve the models to more closely mimic the human situation by using co-cultures of different cell types and microfluidic approaches to better control the tissue microenvironments are essential. At the current state of the art, the in vitro models do not yet allow prediction of absolute transfer rates but they do support the definition of relative transfer rates and can thus help to reduce animal testing by setting priorities for subsequent in vivo testing.

Indexed as

Animal Testing AlternativesModels, BiologicalAnimalsCoculture TechniquesHumansMicrofluidic Analytical TechniquesNanoparticlesRodentiaTissue Distribution

Identifiers

PMID25975987
PMCPMC4551544

What OpenQuestion holds

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Registered trials

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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.