神经科学
疾病
转录组
神经学
人工智能
机器学习
医学
计算机科学
生物
神经外科
心理学
生物信息学
计算生物学
梅德林
人工神经网络
精密医学
运动学习
作者
Zongtang Xu,Yao Yang,Kun Xiang,Linpei Zhuo,Zheyu Fang,Xiaoou Lin,Conghui Dai,Jiaming Liu,Jing Sun,Qiuling Tong
出处
期刊:Neurotherapeutics
[Springer Science+Business Media]
日期:2026-08-13
卷期号:23 (5): e01047-e01047
标识
DOI:10.1016/j.neurot.2026.e01047
摘要
Hexafluoropropylene oxide-dimer acid (GenX or HFPO-DA) is a novel per- and polyfluoroalkyl substance developed as a replacement for legacy compounds, yet its potential neurotoxic effects remain poorly understood. In this study, we combined bibliometric profiling, in silico target prediction, in vivo behavioral assessments, single-nucleus RNA sequencing (snRNA-seq), network biology, machine learning, molecular docking, and in vitro validation to explore the potential relevance of GenX in Alzheimer's disease (AD). Bibliometric analysis revealed increasing research attention to GenX-associated health hazards, including emerging concerns regarding brain-related effects. Target prediction identified 301 putative GenX-related genes, which were significantly enriched in AD-related pathways. Behavioral analyses demonstrated that chronic GenX exposure impaired recognition memory and spatial learning in mice. Analysis of human prefrontal cortex snRNA-seq data revealed pronounced transcriptional alterations in AD neurons and identified 200 AD-related neuronal DEGs. Integration with GenX targets yielded 10 overlapping genes, which were further prioritized through protein-protein interaction (PPI) network analysis. Machine learning further identified an 8-gene signature with robust diagnostic performance across training and external validation cohorts. Molecular docking showed favorable binding affinities between GenX and core target proteins. Finally, GenX exposure reduced SH-SY5Y cell viability, activated the RAS-RAF-MEK-ERK cascade, and promoted apoptosis-related alterations, supporting a MAPK-centered neurotoxic mechanism potentially relevant to AD-associated neuronal vulnerability. Collectively, this integrative multi-level analysis provides mechanistic insights into the potential neurotoxic effects of GenX and underscores its possible relevance to neurodegeneration-associated molecular processes in AD.
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