A method for predicting embryonic developmental toxicity of chemicals based on dose-response simplified transcriptome

Abstract

The invention discloses a calculation method for predicting the embryonic developmental toxicity of chemicals based on dose-effect simplified transcriptome, and belongs to the field of predictive toxicology. The invention predicts the embryotoxicity of chemicals and identifies the key toxicity mechanism of chemicals by systematically integrating high-throughput test data for scoring calculation. The calculation method of the present invention is based on the correlation evidence between key events (KE), and utilizes dose-effect simplified transcriptome and other high-throughput molecular test data to perform activation scoring calculation on zebrafish development-related harmful outcome pathway (AOP). The invention is more efficient and sensitive than the traditional embryonic developmental toxicity test, realizes efficient toxicity prediction based on the mechanism of chemical toxicity, and can predict the development of longer life stages through the influence of low-dose chemicals on the transcription level of early embryos Toxic effect, identify the toxic mechanism of chemicals, and distinguish chemicals with different toxic modes.

Description

technical field [0001] The invention belongs to the field of predictive toxicology, and in particular relates to a method for predicting embryonic developmental toxicity of chemicals based on dose-effect simplified transcriptome. Background technique [0002] Chemical risk management urgently needs a method to accurately predict chemical toxicity based on the mechanism of toxicity by systematically integrating high-throughput test data. There are many kinds of chemicals in the world, and the number of new chemicals is increasing rapidly. The inefficient traditional in vivo toxicity testing methods are far from meeting the needs of current chemical testing, and there is a lack of toxicity data for a large number of chemicals. In order to solve this difficult problem of chemical management, alternative testing methods have developed rapidly in recent years, such as in vitro testing and omics, which can provide rich information on the molecular mechanism of chemical toxicity. ...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the problem that the prediction accuracy of chemical toxicity in the prior art is not high, and it is impossible to distinguish different toxicity model chemicals, this study aims to establish a way to integrate high-throughput test data to score zebrafish development-related AOPs The method can not only accurately predict the toxic effects of chemicals on zebrafish embryonic development, but also distinguish chemicals with different modes of action, so as to identify the key toxicity mechanism of chemicals

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