Integrating machine learning and experiments to elucidate the potential molecular mechanisms of methylparaben-induced Alzheimer’s disease: evidence from a Tau hyperphosphorylation cell model

Hui E Zhang, Meng Li Xiao, Jin Jin Ji, Yu Rong Cheng, Fang Lu · 2025

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Description

Hui Zhang and four co-authors probe how a common preservative in cosmetics and food may feed Alzheimer's disease, in a 2025 journal article. The chemical is methylparaben. Past hints tied it to the illness, but the inner path was unknown.

The team mapped the chemical's shape, then hunted its likely protein targets in four databases and matched them with illness genes. One hundred fifty-three shared targets turned up, and ten core ones stood out in network maps. Docking tests showed the chemical can sit on those core proteins. In nerve cells, a tau mark of the illness rose with the chemical's touch, and gene reads backed some picks. The authors frame the chemical as a risk worth tighter watch.

Catalog record

CREATORHui E Zhang, Meng Li Xiao, Jin Jin Ji, Yu Rong Cheng, Fang Lu
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE34 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12829224

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