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Di Cristo L, Keller JG, Leoncino L, Marassi V, Loosli F, Seleci DA, Tsiliki G, Oomen AG, Stone V, Wohlleben W, Sabella S. Critical aspects in dissolution testing of nanomaterials in the oro-gastrointestinal tract: the relevance of juice composition for hazard identification and grouping. Nanoscale Adv 2024; 6:798-815. [PMID: 38298600 PMCID: PMC10825926 DOI: 10.1039/d3na00588g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/07/2023] [Indexed: 02/02/2024]
Abstract
The dissolution of a nanomaterial (NM) in an in vitro simulant of the oro-gastrointestinal (OGI) tract is an important predictor of its biodurability in vivo. The cascade addition of simulated digestive juices (saliva, stomach and intestine), including inorganic/organic biomacromolecules and digestive enzymes (complete composition, referred to as "Type 1 formulation"), strives for realistic representation of chemical composition of the OGI tract. However, the data robustness requires consideration of analytical feasibility, such as the use of simplified media. Here we present a systematic analysis of the effects exerted by different digestive juice formulations on the dissolution% (or half-life values) of benchmark NMs (e.g., zinc oxide, titanium dioxide, barium sulfate, and silicon dioxide). The digestive juices were progressively simplified by removal of components such as organic molecules, enzymes, and inorganic molecules (Type 2, 3 and 4). The results indicate that the "Type 1 formulation" augments the dissolution via sequestration of ions by measurable factors compared to formulations without enzymes (i.e., Type 3 and 4). Type 1 formulation is thus regarded as a preferable option for predicting NM biodurability for hazard assessment. However, for grouping purposes, the relative similarity among diverse nanoforms (NFs) of a NM is decisive. Two similarity algorithms were applied, and additional case studies comprising NFs and non NFs of the same substance were included. The results support the grouping decision by simplified formulation (Type 3) as a robust method for screening and grouping purposes.
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Affiliation(s)
- Luisana Di Cristo
- Istituto Italiano Di Tecnologia, Nanoregulatory Group, D3PharmaChemistry Genova Italy
| | - Johannes G Keller
- Department of Material Physics and Department of Experimental Toxicology and Ecology, BASF SE Ludwigshafen Germany
| | - Luca Leoncino
- Electron Microscopy Facility, Istituto Italiano di Tecnologia Genova Italy
| | | | - Frederic Loosli
- Department of Material Physics and Department of Experimental Toxicology and Ecology, BASF SE Ludwigshafen Germany
- University of Vienna Vienna Austria
| | - Didem Ag Seleci
- Department of Material Physics and Department of Experimental Toxicology and Ecology, BASF SE Ludwigshafen Germany
| | - Georgia Tsiliki
- Institute for the Management of Information Systems, Athena Research Center Marousi Greece
| | - Agnes G Oomen
- National Institute for Public Health and the Environment (RIVM) Bilthoven The Netherlands
- University of Amsterdam Amsterdam The Netherlands
| | - Vicki Stone
- Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University Edinburgh UK
| | - Wendel Wohlleben
- Department of Material Physics and Department of Experimental Toxicology and Ecology, BASF SE Ludwigshafen Germany
| | - Stefania Sabella
- Istituto Italiano Di Tecnologia, Nanoregulatory Group, D3PharmaChemistry Genova Italy
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Di Cristo L, Ude VC, Tsiliki G, Tatulli G, Romaldini A, Murphy F, Wohlleben W, Oomen AG, Pompa PP, Arts J, Stone V, Sabella S. Grouping of orally ingested silica nanomaterials via use of an integrated approach to testing and assessment to streamline risk assessment. Part Fibre Toxicol 2022; 19:68. [PMID: 36461106 PMCID: PMC9719179 DOI: 10.1186/s12989-022-00508-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 11/21/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND 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. RESULTS The measurement of the dissolution rate of the silica NFs in the oro-gastrointestinal tract and in the lysosome identified them as gradually dissolving and biopersistent NFs. For the local toxicity to intestinal epithelium (e.g. cytotoxicity, membrane integrity and inflammation), the biological results of the gastrointestinal tract models indicate that all of the silica NFs were similar with respect to the lack of local toxicity and, therefore, belong to the same group; in vivo data (although limited) confirmed the lack of local toxicity of NFs. For systemic toxicity, Tier 1 data did not identify similarity across the NFs, with results across different decision nodes being inconsistent in providing homogeneous group(s). Moreover, the available Tier 3 in vivo data were also insufficient to support decisions based upon the obtained in vitro results and relating to the toxicity of the tested NFs. CONCLUSIONS The information generated by the tested oral IATAs can be effectively used for similarity assessment to support a grouping decision upon the application of a hypothesis related to toxicity in the gastrointestinal tract. The IATAs facilitated a structured data analysis and, by means of the expert's interpretation, supported read-across with the available in vivo data. The IATAs also supported the users in decision making, for example, reducing the testing when the grouping was well supported by the evidence and/or moving forward to advanced testing (e.g., the use of more suitable cellular models or chronic exposure) to improve the confidence level of the data and obtain more focused information.
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Affiliation(s)
- Luisana Di Cristo
- grid.25786.3e0000 0004 1764 2907D3 PharmaChemistry, Nanoregulatory Group, Italian Institute of Technology, Via Morego, 30, 16163 Genoa, Italy
| | - Victor C. Ude
- grid.9531.e0000000106567444Nano Safety Research Group, School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, EH14 4AS UK
| | - Georgia Tsiliki
- grid.19843.370000 0004 0393 5688Institute for the Management of Information Systems, Athena Research Center, Marousi, Greece
| | - Giuseppina Tatulli
- grid.25786.3e0000 0004 1764 2907Nanobiointeractions & Nanodiagnostics, Istituto Italiano Di Tecnologia (IIT), Via Morego, 30, 16163 Genoa, Italy
| | - Alessio Romaldini
- grid.25786.3e0000 0004 1764 2907D3 PharmaChemistry, Nanoregulatory Group, Italian Institute of Technology, Via Morego, 30, 16163 Genoa, Italy
| | - Fiona Murphy
- grid.9531.e0000000106567444Nano Safety Research Group, School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, EH14 4AS UK
| | - Wendel Wohlleben
- grid.3319.80000 0001 1551 0781Department Material Physics and Department of Experimental Toxicology & Ecology, BASF SE, Ludwigshafen, Germany
| | - Agnes G. Oomen
- grid.31147.300000 0001 2208 0118National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands ,grid.7177.60000000084992262Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - Pier P. Pompa
- grid.25786.3e0000 0004 1764 2907Nanobiointeractions & Nanodiagnostics, Istituto Italiano Di Tecnologia (IIT), Via Morego, 30, 16163 Genoa, Italy
| | | | - Vicki Stone
- grid.9531.e0000000106567444Nano Safety Research Group, School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, EH14 4AS UK
| | - Stefania Sabella
- grid.25786.3e0000 0004 1764 2907D3 PharmaChemistry, Nanoregulatory Group, Italian Institute of Technology, Via Morego, 30, 16163 Genoa, Italy
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Kodali V, Roberts JR, Glassford E, Gill R, Friend S, Dunn KL, Erdely A. Understanding toxicity associated with boron nitride nanotubes: Review of toxicity studies, exposure assessment at manufacturing facilities, and read-across. J Mater Res 2022; 37:4620-4638. [PMID: 37193295 PMCID: PMC10174278 DOI: 10.1557/s43578-022-00796-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/12/2022] [Indexed: 05/18/2023]
Abstract
Boron nitride nanotubes (BNNT) are produced by many different methods leading to variances in physicochemical characteristics and impurities in the final product. These differences can alter the toxicity profile. The importance of understanding the potential pathological implications of this high aspect ratio nanomaterial is increasing as new approaches to synthesize and purify in large scale are being developed. In this review, we discuss the various factors of BNNT production that can influence its toxicity followed by summarizing the toxicity findings from in vitro and in vivo studies conducted to date, including a review of particle clearance observed with various exposure routes. To understand the risk to workers and interpret relevance of toxicological findings, exposure assessment at manufacturing facilities was discussed. Workplace exposure assessment of BNNT from two manufacturing facilities measured boron concentrations in personal breathing zones from non-detectable to 0.95 μg/m3 and TEM structure counts of 0.0123 ± 0.0094 structures/cm3, concentrations well below what was found with other engineered high aspect ratio nanomaterials like carbon nanotubes and nanofibers. Finally, using a purified BNNT, a "read-across" toxicity assessment was performed to demonstrate how known hazard data and physicochemical characteristics can be utilized to evaluate potential inhalation toxicity concerns.
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Affiliation(s)
- Vamsi Kodali
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, 1000 Frederick Lane (MS-2015), Morgantown, WV 26508, USA
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, WV 26506, USA
| | - Jenny R. Roberts
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, 1000 Frederick Lane (MS-2015), Morgantown, WV 26508, USA
| | - Eric Glassford
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, OH 45226, USA
| | - Ryan Gill
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, 1000 Frederick Lane (MS-2015), Morgantown, WV 26508, USA
| | - Sherri Friend
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, 1000 Frederick Lane (MS-2015), Morgantown, WV 26508, USA
| | - Kevin L. Dunn
- Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, OH 45226, USA
| | - Aaron Erdely
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health, 1000 Frederick Lane (MS-2015), Morgantown, WV 26508, USA
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, WV 26506, USA
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Wohlleben W, Stone V. Editorial to the special issue on "similarity assessment of nanoforms: Concepts, tools and case studies of the GRACIOUS project". NanoImpact 2022; 28:100443. [PMID: 36427811 DOI: 10.1016/j.impact.2022.100443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- Wendel Wohlleben
- BASF SE, Dept. Material Physics and Dept Experimental Toxicology & Ecology, Ludwigshafen, Germany.
| | - Vicki Stone
- NanoSafety Research Group, Heriot-Watt University, Riccarton, Edinburgh EH14 4AS, UK.
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Basei G, Rauscher H, Jeliazkova N, Hristozov D. A methodology for the automatic evaluation of data quality and completeness of nanomaterials for risk assessment purposes. Nanotoxicology 2022; 16:195-216. [PMID: 35506346 DOI: 10.1080/17435390.2022.2065222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
This manuscript proposes a methodology to assess the completeness and quality of physicochemical and hazard datasets for risk assessment purposes. The approach is also specifically applicable to similarity assessment as a basis for grouping of (nanoforms of) chemical substances as well as for classification of the substances according to the Classification, Labeling and Packaging regulation. The unique goal of this approach is to assess data quality in such a way that all the steps are automatized, thus reducing reliance on expert judgment. The analysis starts from available (meta)data as provided in the data entry templates developed by the NanoSafety community and used for import into the eNanoMapper database. The methodology is implemented in the templates as a traffic light system-the providers of the data can see in real time the completeness scores calculated by the system for their datasets in green, yellow, or red. This is an interactive feedback feature that is intended to provide an incentive for anyone inserting data into the database to deliver more complete and higher quality datasets. The users of the data can also see this information both in the data entry templates and on the database interface, which enables them to select better datasets for their assessments. The proposed methodology has been partially implemented in the eNanoMapper database and in a Weight of Evidence approach for the regulatory classification of nanomaterials. It was fully implemented in a publicly available online R tool.
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Affiliation(s)
| | - Hubert Rauscher
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | | | - Danail Hristozov
- GreenDecision Srl, Mestre, Italy.,East European Research and Innovation Enterprise, Sofia, Bulgaria
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