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Predictive metabolic networks reveal sex- and APOE genotype-specific metabolic signatures and drivers for precision medicine in Alzheimer's disease
Alzheimer's & Dementia ( IF 13.0 ) Pub Date : 2022-04-28 , DOI: 10.1002/alz.12675
Rui Chang 1, 2 , Eugenia Trushina 3, 4 , Kuixi Zhu 1, 2 , Syed Shujaat Ali Zaidi 1, 2 , Branden M Lau 5 , Alexandra Kueider-Paisley 6 , Sara Moein 2, 7 , Qianying He 8 , Melissa L Alamprese 2 , Barbora Vagnerova 9 , Andrew Tang 10 , Ramachandran Vijayan 1 , Yanyun Liu 1 , Andrew J Saykin 11 , Roberta D Brinton 1, 2, 9 , Rima Kaddurah-Daouk 6, 12, 13 , 1
Affiliation  

Late-onset Alzheimer's disease (LOAD) is a complex neurodegenerative disease characterized by multiple progressive stages, glucose metabolic dysregulation, Alzheimer's disease (AD) pathology, and inexorable cognitive decline. Discovery of metabolic profiles unique to sex, apolipoprotein E (APOE) genotype, and stage of disease progression could provide critical insights for personalized LOAD medicine.

中文翻译:


预测代谢网络揭示了性别和 APOE 基因型特异性代谢特征以及阿尔茨海默病精准医疗的驱动因素



晚发性阿尔茨海默病 (LOAD) 是一种复杂的神经退行性疾病,其特征为多个进展阶段、葡萄糖代谢失调、阿尔茨海默病 (AD) 病理和不可阻挡的认知能力下降。性别、载脂蛋白 E ( APOE ) 基因型和疾病进展阶段特有的代谢特征的发现可以为个性化 LOAD 医学提供重要的见解。
更新日期:2022-04-28
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