Grouping of orally ingested silica nanomaterials via use of an integrated approach to testing and assessment to streamline risk assessment.
di Cristo, Luisana Ude, Victor C Tsiliki, Georgia Tatulli, Giuseppina Romaldini, Alessio Murphy, Fiona Wohlleben, Wendel Oomen, Agnes G Pompa, Pier P Arts, Josje
di Cristo, Luisana
Ude, Victor C
Tsiliki, Georgia
Tatulli, Giuseppina
Romaldini, Alessio
Murphy, Fiona
Wohlleben, Wendel
Oomen, Agnes G
Pompa, Pier P
Arts, Josje
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Series / Report no.
Open Access
Type
Article
Language
en
Date of publication
2022-12-02
Year of publication
Research Projects
Organizational Units
Journal Issue
Title
Grouping of orally ingested silica nanomaterials via use of an integrated approach to testing and assessment to streamline risk assessment.
Translated Title
Published in
Particle and fibre toxicology 2022;19(1):68
Abstract
Nanomaterials can exist in different nanoforms (NFs). Their grouping may be supported by the formulation of hypotheses which can be interrogated via integrated approaches to testing and assessment (IATA). IATAs are decision trees that guide the user through tiered testing strategies (TTS) to collect the required evidence needed to accept or reject a grouping hypothesis. In the present paper, we investigated the applicability of IATAs for ingested NFs using a case study that includes different silicon dioxide, SiO2 NFs. Two oral grouping hypotheses addressing local and systemic toxicity were identified relevant for the grouping of these NFs and verified through the application of oral IATAs. Following different Tier 1 and/or Tier 2 in vitro methods of the TTS (i.e., in vitro dissolution, barrier integrity and inflammation assays), we generated the NF datasets. Furthermore, similarity algorithms (e.g., Bayesian method and Cluster analysis) were utilized to identify similarities among the NFs and establish a provisional group(s). The grouping based on Tier 1 and/or Tier 2 testing was analyzed in relation to available Tier 3 in vivo data in order to verify if the read-across was possible and therefore support a grouping decision.