Analysis of oral and inhalation toxicity of per- and polyfluoroalkylated organic compounds in rats and mice using multivariate QSAR

Per- and polyfluoroalkylated organic compounds (PFAs) are versatile compounds extensively used in global industries. However, they are also persistent organic pollutants (POPs). This study aimed to develop new models for assessing oral and inhalation toxicity in rat and mice models. A set of 407 PFAs from the literature was divided into four groups based on the endpoints of interest. The models were constructed using only 2D structure descriptors derived from SMILES strings. The resulting models showed a strong statistical quality for all endpoints. They present an applicability domain (AD) that ensures good reliability, and provided meaningful interpretation, which are partially supported by existing literature. Consequently, these models are valuable for understanding how PFAs exert their toxic effect on mammals and for predicting the risk associated with these significant industrial chemical agents.

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Publication Details

Journal
SAR and QSAR in environmental research
Published
2024-10-02
DOI
https://doi.org/10.1080/1062936x.2024.2417250
Citations
3
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
0.75

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article

Analysis of oral and inhalation toxicity of per- and polyfluoroalkylated organic compounds in rats and mice using multivariate QSAR

Eduardo Borges de Melo, Nuno Silva
3 citations
SAR and QSAR in environmental research
Per- and polyfluoroalkyl substances research
0.75
article

Analysis of oral and inhalation toxicity of per- and polyfluoroalkylated organic compounds in rats and mice using multivariate QSAR

Eduardo Borges de Melo, Nuno Silva
article en
3 citations

Abstract

Per- and polyfluoroalkylated organic compounds (PFAs) are versatile compounds extensively used in global industries. However, they are also persistent organic pollutants (POPs). This study aimed to develop new models for assessing oral and inhalation toxicity in rat and mice models. A set of 407 PFAs from the literature was divided into four groups based on the endpoints of interest. The models were constructed using only 2D structure descriptors derived from SMILES strings. The resulting models showed a strong statistical quality for all endpoints. They present an applicability domain (AD) that ensures good reliability, and provided meaningful interpretation, which are partially supported by existing literature. Consequently, these models are valuable for understanding how PFAs exert their toxic effect on mammals and for predicting the risk associated with these significant industrial chemical agents.

SAR and QSAR in environmental researchVol. 35(10)
Universidade Estadual do Oeste do Paraná (BR)
Fundacion Araucaria, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Zero hunger
Openalex Percentile: Top 30%
Per- and polyfluoroalkyl substances research
0.75
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Analysis of oral and inhalation toxicity of per- and polyfluoroalkylated organic compounds in rats and mice using multivariate QSAR — Eduardo Borges de Melo, Nuno Silva · SAR and QSAR in environmental research (2024) | TGRS Research Map | TGRS