生物
疾病
类型(生物学)
阿尔茨海默病
计算生物学
神经科学
内科学
生态学
医学
作者
Yaqiao Li,Carlota Pereda Serras,Jessica R. Blumenfeld,Min Xie,Yanxia Hao,Elise Deng,You Young Chun,Julia Holtzman,Alice An,Seo Yeon Yoon,Xinyu Tang,Antara T. Rao,Sarah R. Woldemariam,Alice Tang,Alex Zhang,Jeffrey A. Simms,Iris Lo,Tomiko Oskotsky,Michael J. Keiser,Yadong Huang
出处
期刊:Cell
[Cell Press]
日期:2025-07-21
卷期号:188 (20): 5516-5534.e18
被引量:66
标识
DOI:10.1016/j.cell.2025.06.035
摘要
Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by heterogeneous molecular changes across diverse cell types, posing significant challenges for treatment development. To address this, we introduced a cell-type-specific, multi-target drug discovery strategy grounded in human data and real-world evidence. This approach integrates single-cell transcriptomics, drug perturbation databases, and clinical records. Using this framework, letrozole and irinotecan were identified as a potential combination therapy, each targeting AD-related gene expression changes in neurons and glial cells, respectively. In an AD mouse model, this combination therapy significantly improved memory function and reduced AD-related pathologies compared to vehicle and single-drug treatments. Single-nuclei transcriptomic analysis confirmed that the therapy reversed disease-associated gene networks in a cell-type-specific manner. These results highlight the promise of cell-type-directed combination therapies in addressing multifactorial diseases like AD and lay the groundwork for precision medicine tailored to patient-specific transcriptomic and clinical profiles.
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