Integrative network toxicology, multiomics, and machine learning elucidate zearalenone-induced developmental toxicity mechanisms in zebrafish (Danio rerio)

Elucidating the pathogenic mechanism underlying plasticizer-induced chronic kidney disease via integrated network toxicology and machine learning

Zihao Mao, Jiayang Lou, Hanyue Jiang, Xuanchao Wang, Anqi Wang, Gangfeng Ding, et al.

Integrated multi-omics analysis suggests a potential mechanism of DEHP-induced monocyte infiltration in MASH via the FOS-CCL3/4 axis

Chaojie Wang, Zhihao Zhang, Yuqing Huang, Yandan Shi, Peng Lei

OBJECTIVE: Di-(2-ethylhexyl) phthalate (DEHP) is a widespread environmental obesogen; however, its immune-proinflammatory mechanisms in the progression of metabolic dysfunction-associated steatohepatitis (MASH) remain incompletely elucidated. This study aims to comprehensively ch…Read more

Analysis of vehicle-related non-exhaust PM10 and emerging pollutants in Beijing with machine-learning

Yuxin Liu, Zhanxia Du, Peize Wu, Hanbing Li, Sumei Li, Sha Chen