Evidence map›Paper›PMID 30249272›Full record

ArticleParticle and fibre toxicology2018

Grouping of nanomaterials to read-across hazard endpoints: from data collection to assessment of the grouping hypothesis by application of chemoinformatic techniques.

L Lamon, D Asturiol, A Richarz, E Joossens, R Graepel, K Aschberger, A Worth

Abstract read
In one paragraph

Article in Particle and fibre toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  8. Towards FAIR nanosafety data.Nature nanotechnology · 2021
    Article
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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

7 authors.

L LamonEuropean Commission, Joint Research Centre, Ispra, Varese, Italy.
D AsturiolEuropean Commission, Joint Research Centre, Ispra, Varese, Italy. david.asturiol-bofill@ec.europa.eu.ORCID 0000-0002-4032-2616
A RicharzEuropean Commission, Joint Research Centre, Ispra, Varese, Italy.
E JoossensEuropean Commission, Joint Research Centre, Ispra, Varese, Italy.
R GraepelEuropean Commission, Joint Research Centre, Ispra, Varese, Italy.
K AschbergerEuropean Commission, Joint Research Centre, Ispra, Varese, Italy.
A WorthEuropean Commission, Joint Research Centre, Ispra, Varese, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increasing number of manufactured nanomaterials (NMs) are being used in industrial products and need to be registered under the REACH legislation. The hazard characterisation of all these forms is not only technically challenging but resource and time demanding. The use of non-testing strategies like read-across is deemed essential to assure the assessment of all NMs in due time and at lower cost. The fact that read-across is based on the structural similarity of substances represents an additional difficulty for NMs as in general their structure is not unequivocally defined. In such a scenario, the identification of physicochemical properties affecting the hazard potential of NMs is crucial to define a grouping hypothesis and predict the toxicological hazards of similar NMs. In order to promote the read-across of NMs, ECHA has recently published "Recommendations for nanomaterials applicable to the guidance on QSARs and Grouping", but no practical examples were provided in the document. Due to the lack of publicly available data and the inherent difficulties of reading-across NMs, only a few examples of read-across of NMs can be found in the literature. This manuscript presents the first case study of the practical process of grouping and read-across of NMs following the workflow proposed by ECHA.

methodsThe workflow proposed by ECHA was used and slightly modified to present the read-across case study. The Read-Across Assessment Framework (RAAF) was used to evaluate the uncertainties of a read-across within NMs. Chemoinformatic techniques were used to support the grouping hypothesis and identify key physicochemical properties.

resultsA dataset of 6 nanoforms of TiO

conclusionThe workflow proposed by ECHA to read-across NMs was applied successfully. Chemoinformatic techniques were shown to provide key evidence for the assessment of the grouping hypothesis and the definition of similar NMs. The RAAF was found to be applicable to NMs.

Indexed as

Endpoint DeterminationChemical SafetyDatabases, FactualHazardous SubstancesNanostructuresPrincipal Component AnalysisRisk AssessmentTitaniumToxicity TestsHazardous SubstancesTitaniumtitanium dioxideChemoinformaticsComet assayGroupingHazardNanomaterialsNano-TiO2RAAFREACHRead-across

Identifiers

PMID30249272
PMCPMC6154922

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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.