A network toxicology and machine learning approach to investigate the mechanism of kidney injury from melamine and cyanuric acid co-exposure

A network toxicology and machine learning approach to investigate the mechanism of kidney injury from melamine and cyanuric acid co-exposure

Background: Within the past two decades, high-profile cases of melamine (MA) exposure have raised significant toxicological concerns, particularly regarding food adulteration. While widely used as a fundamental organic chemical intermediate in various household products, MA's potential for unex...

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Bibliographic Details
Main Authors: Zhan Wang, Zhaokai Zhou, Zihao Zhao, Junjie Zhang, Shengli Zhang, Luping Li, Yingzhong Fan, Qi Li
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Melamine
Cyanuric acid
Kidney injury
Network toxicology
Bioinformatics
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651325003653
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