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对新发阿尔茨海默病的大规模蛋白质组学分析揭示了新的病理生理学见解和潜在治疗靶点。

Large-scale proteomic analyses of incident Alzheimer's disease reveal new pathophysiological insights and potential therapeutic targets.

作者信息

Zhang Yi, Guo Yu, He Yu, You Jia, Zhang YaRu, Wang LinBo, Chen ShiDong, He XiaoYu, Yang Liu, Huang YuYuan, Kang JuJiao, Ge YiJun, Dong Qiang, Feng JianFeng, Cheng Wei, Yu JinTai

机构信息

Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.

Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.

出版信息

Mol Psychiatry. 2025 Jun;30(6):2347-2361. doi: 10.1038/s41380-024-02840-x. Epub 2024 Nov 19.

Abstract

Pathophysiological evolutions in early-stage Alzheimer's disease (AD) are not well understood. We used data of 2923 Olink plasma proteins from 51,296 non-demented middle-aged adults. During a follow-up of 15 years, 689 incident AD cases occurred. Cox-proportional hazard models were applied to identify AD-associated proteins in different time intervals. Through linking to protein categories, changing sequences of protein z-scores can reflect pathophysiological evolutions. Mendelian randomization using blood protein quantitative loci data provided causal evidence for potentially druggable proteins. We identified 48 AD-related proteins, with CEND1, GFAP, NEFL, and SYT1 being top hits in both near-term (HR:1.15-1.77; P:9.11 × 10-2.78 × 10) and long-term AD risk (HR:1.20-1.54; P:2.43 × 10-3.95 × 10). These four proteins increased 15 years before AD diagnosis and progressively escalated, indicating early and sustained dysfunction in synapse and neurons. Proteins related to extracellular matrix organization, apoptosis, innate immunity, coagulation, and lipid homeostasis showed early disturbances, followed by malfunctions in metabolism, adaptive immunity, and final synaptic and neuronal loss. Combining CEND1, GFAP, NEFL, and SYT1 with demographics generated desirable predictions for 10-year (AUC = 0.901) and over-10-year AD (AUC = 0.864), comparable to full model. Mendelian randomization supports potential genetic link between CEND1, SYT1, and AD as outcome. Our findings highlight the importance of exploring the pathophysiological evolutions in early stages of AD, which is essential for the development of early biomarkers and precision therapeutics.

摘要

早期阿尔茨海默病(AD)的病理生理演变尚未得到充分理解。我们使用了来自51296名非痴呆中年成年人的2923种欧林克血浆蛋白数据。在15年的随访期间,出现了689例新发AD病例。应用Cox比例风险模型来识别不同时间间隔内与AD相关的蛋白质。通过与蛋白质类别相联系,蛋白质z分数的变化序列可以反映病理生理演变。利用血液蛋白质定量基因座数据进行的孟德尔随机化提供了潜在可成药蛋白质的因果证据。我们鉴定出48种与AD相关的蛋白质,其中CEND1、GFAP、NEFL和SYT1在近期(风险比:1.15 - 1.77;P值:9.11×10 - 2.78×10)和长期AD风险(风险比:1.20 - 1.54;P值:2.43×10 - 3.95×10)方面都是最显著的。这四种蛋白质在AD诊断前15年就开始增加,并逐渐上升,表明突触和神经元早期且持续存在功能障碍。与细胞外基质组织、细胞凋亡、先天免疫、凝血和脂质稳态相关的蛋白质显示出早期紊乱,随后是代谢、适应性免疫功能障碍,最终导致突触和神经元丧失。将CEND1、GFAP、NEFL和SYT1与人口统计学数据相结合,对10年(曲线下面积 = 0.901)和超过10年的AD(曲线下面积 = 0.864)产生了理想的预测,与完整模型相当。孟德尔随机化支持CEND1、SYT1与作为结果的AD之间存在潜在的遗传联系。我们的研究结果强调了探索AD早期病理生理演变的重要性,这对于早期生物标志物的开发和精准治疗至关重要。

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