Evidence map›Paper›PMID 32948196›Full record

ArticleParticle and fibre toxicology2020

NanoPASS: an easy-to-use user interface for nanoparticle dosimetry with the 3DSDD model.

Falko Frenzel, Laura König-Mattern, Valerie Stock, Linn Voss, Maxi B Paul, Holger Sieg, Albert Braeuning, Andreas Voigt, Linda Böhmert

Abstract read
In one paragraph

Article in Particle and fibre toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Falko FrenzelGerman Federal Institute for Risk Assessment, Department of Food Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.ORCID 0000-0002-5451-4782
Laura König-MatternOtto-von-Guericke University Magdeburg, Chair of Process Systems Engineering, Universitätsplatz 2, 39016, Magdeburg, Germany.
Valerie StockGerman Federal Institute for Risk Assessment, Department of Food Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Linn VossGerman Federal Institute for Risk Assessment, Department of Food Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Maxi B PaulGerman Federal Institute for Risk Assessment, Department of Food Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Holger SiegGerman Federal Institute for Risk Assessment, Department of Food Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.ORCID 0000-0002-0593-0173
Albert BraeuningGerman Federal Institute for Risk Assessment, Department of Food Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Andreas VoigtOtto-von-Guericke University Magdeburg, Chair of Process Systems Engineering, Universitätsplatz 2, 39016, Magdeburg, Germany.
Linda BöhmertGerman Federal Institute for Risk Assessment, Department of Food Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany. linda.boehmert@bfr.bund.de.ORCID 0000-0002-1153-2841

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles exhibit a specific diffusion and sedimentation behavior under cell culture conditions as used in nantoxicological in vitro testing. How a particular particle suspension behaves depends on the particular physicochemical characteristics of the particles and the cell culture system. Only a fraction of the nanoparticles applied to a cell culture will thus reach the cells within a given time frame. Therefore, dosimetric calculations are essential not only to determine the exact fraction of nanoparticles that has come into contact with the cells, but also to ensure experimental comparability and correct interpretation of results, respectively. Yet, the use of published dosimetry models is limited. Not the least because the correct application of these in silico tools usually requires bioinformatics knowledge, which often is perceived a hurdle. Moreover, not all models are freely available and accessible. In order to overcome this obstacle, we have now developed an easy-to-use interface for our recently published 3DSDD dosimetry model, called NanoPASS (NanoParticle Administration Sedimentation Simulator). The interface is freely available to all researchers. It will facilitate the use of in silico dosimetry in nanotoxicology and thus improve interpretation and comparability of in vitro results in the field.

Indexed as

Models, MolecularRadiotherapy Planning, Computer-AssistedCell Culture TechniquesComputer SimulationDiffusionHumansModels, BiologicalNanoparticlesParticle SizeSurface PropertiesCaco-2Cell cultureDosimetric calculationHepaRGIn vitroNanotoxicology

Identifiers

PMID32948196
PMCPMC7502021

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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.