Meta-analysis of cellular toxicity for cadmium-containing quantum dots

Meta-analysis of cellular toxicity for cadmium-containing quantum dots

Understanding the relationships between the physicochemical properties of engineered nanomaterials and their toxicity is critical for environmental and health risk analysis. However, this task is confounded by material diversity, heterogeneity of published data and limited sampling within individual...

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Bibliographic Details
Published in:Nature nanotechnology Vol. 11; no. 5; pp. 479 - 486
Main Authors: Oh, Eunkeu, Liu, Rong, Nel, Andre, Gemill, Kelly Boeneman, Bilal, Muhammad, Cohen, Yoram, Medintz, Igor L.
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 01-05-2016
Nature Publishing Group
Subjects:
631/61/350/354
639/925
639/925/928
Animals
Cadmium
Cadmium - chemistry
Cadmium - toxicity
Cell Survival
Cellular
Data mining
Electrons
Health risks
Heterogeneity
Humans
Inhibitory Concentration 50
Ligands
Materials Science
Meta-analysis
Models, Theoretical
Nanomaterials
Nanotechnology
Nanotechnology and Microengineering
Physicochemical properties
Quantum dots
Quantum Dots - chemistry
Quantum Dots - toxicity
Risk analysis
Semiconductors
Toxicity
Workflow
Washington DC
Los Angeles California
California
United States > US
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Summary:Understanding the relationships between the physicochemical properties of engineered nanomaterials and their toxicity is critical for environmental and health risk analysis. However, this task is confounded by material diversity, heterogeneity of published data and limited sampling within individual studies. Here, we present an approach for analysing and extracting pertinent knowledge from published studies focusing on the cellular toxicity of cadmium-containing semiconductor quantum dots. From 307 publications, we obtain 1,741 cell viability-related data samples, each with 24 qualitative and quantitative attributes describing the material properties and experimental conditions. Using random forest regression models to analyse the data, we show that toxicity is closely correlated with quantum dot surface properties (including shell, ligand and surface modifications), diameter, assay type and exposure time. Our approach of integrating quantitative and categorical data provides a roadmap for interrogating the wide-ranging toxicity data in the literature and suggests that meta-analysis can help develop methods for predicting the toxicity of engineered nanomaterials. Literature data mining and knowledge extraction (known as meta-analysis) can be used to derive the relationships between toxicological outcome and the physicochemical properties of cadmium-containing quantum dots.
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ISSN:1748-3387
1748-3395
DOI:10.1038/nnano.2015.338