Predicting the skin sensitizing potential of pesticides using Pred-skin 3.0–A web-based prediction tool

IF 2.6 3区医学 Q3 TOXICOLOGY

Toxicology in Vitro Pub Date : 2025-01-30 DOI:10.1016/j.tiv.2025.106015

Ajay Godwin Potnuri , Lingesh Allakonda , Ajith Kakaraparthi

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Abstract

Pesticide usage is increasing due to growing needs of agriculture and horticulture. Occupational dermal exposure to pesticides at an acute or chronic low-level could result in contact dermatitis and various skin cancers. Hence, detailed understanding about the Adverse Outcome Pathways (AOP) or Chemical Sensitization Pathway (CSP) behind pesticides belonging to various categories has to be investigated. Animal models of skin sensitization testing at times either over or under predict the human responses due to species-to-species variability. This necessitates the need for prediction tools for skin sensitizing potential of various chemicals. Pred-skin 3.0, is a consensus Naïve Bayes model-based prediction tool which utilizes various human, LLNA, and non-animal data to predict skin sensitization. Although, this tool was never used for predicting skin sensitizing potential of pesticides. Henceforth, the current study aims to test the applicability of this prediction tool in predicting skin sensitizing potential of 96 pesticides belonging to three Major classes. The Bayesian outcome of Pred Skin prediction tool provided a good concordance of 72.72 % with the existing animal skin sensitizing data as well as 63.46 % with the non-sensitizer data.

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来源期刊

Toxicology in Vitro 医学-毒理学

CiteScore

6.50

自引率

3.10%

发文量

181

审稿时长

65 days

期刊介绍： Toxicology in Vitro publishes original research papers and reviews on the application and use of in vitro systems for assessing or predicting the toxic effects of chemicals and elucidating their mechanisms of action. These in vitro techniques include utilizing cell or tissue cultures, isolated cells, tissue slices, subcellular fractions, transgenic cell cultures, and cells from transgenic organisms, as well as in silico modelling. The Journal will focus on investigations that involve the development and validation of new in vitro methods, e.g. for prediction of toxic effects based on traditional and in silico modelling; on the use of methods in high-throughput toxicology and pharmacology; elucidation of mechanisms of toxic action; the application of genomics, transcriptomics and proteomics in toxicology, as well as on comparative studies that characterise the relationship between in vitro and in vivo findings. The Journal strongly encourages the submission of manuscripts that focus on the development of in vitro methods, their practical applications and regulatory use (e.g. in the areas of food components cosmetics, pharmaceuticals, pesticides, and industrial chemicals). Toxicology in Vitro discourages papers that record reporting on toxicological effects from materials, such as plant extracts or herbal medicines, that have not been chemically characterized.