Abyadeh Morteza, Kaya Alaattin
Department of Biology, Virginia Commonwealth University, Richmond, VA, USA.
Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA, USA.
J Cent Nerv Syst Dis. 2025 Apr 23;17:11795735251336302. doi: 10.1177/11795735251336302. eCollection 2025.
BACKGROUND: Alzheimer's disease (AD) is characterized by complex molecular alterations that complicate its pathogenesis and contribute to the lack of effective treatments. Mesenchymal stem cell-derived extracellular vesicles (EVs) have shown promise in AD models, but results across different EV subpopulations remain inconsistent. OBJECTIVES: This study investigates proteomic and transcriptomic data from publicly available postmortem AD brain datasets to identify molecular changes at both the gene and protein levels. These findings are then compared with the proteomes of various EV subpopulations, differing in size and distribution, to determine the most promising subtype for compensating molecular degeneration in AD. DESIGN: We conducted a comprehensive analysis of 788 brain samples, including 481 AD cases and 307 healthy controls, examining protein and mRNA levels to uncover AD-associated molecular changes. These findings were then compared with the proteomes of different EV subpopulations to identify potential therapeutic candidates. METHODS: A multi-omics approach was employed, integrating proteomic and transcriptomic data analysis, miRNA and transcription factor profiling, protein-protein network construction, hub gene identification, and enrichment analyses. This approach aimed to explore molecular changes in AD brains and pinpoint the most relevant EV subpopulations for therapeutic intervention. RESULTS: We identified common alterations in the cAMP signaling pathway and coagulation cascade at both the protein and mRNA levels. Distinct changes in energy metabolism were observed at the protein level but not at the mRNA level. A specific EV subtype, characterized by a broader size distribution obtained through high-speed centrifugation, was identified as capable of compensating for dysregulated mitochondrial proteostasis in AD brains. Network biology analyses further highlighted potential regulators of key therapeutic proteins within this EV subtype. CONCLUSION: This study underscores the critical role of proteomic alterations in AD and identifies a promising EV subpopulation, enriched with proteins targeting mitochondrial proteostasis, as a potential therapeutic strategy for AD.
背景:阿尔茨海默病(AD)具有复杂的分子改变,这使其发病机制变得复杂,并导致缺乏有效的治疗方法。间充质干细胞衍生的细胞外囊泡(EVs)在AD模型中已显示出前景,但不同EV亚群的结果仍不一致。 目的:本研究调查公开可用的AD死后大脑数据集的蛋白质组学和转录组学数据,以确定基因和蛋白质水平的分子变化。然后将这些发现与大小和分布不同的各种EV亚群的蛋白质组进行比较,以确定最有希望补偿AD分子退化的亚型。 设计:我们对788个脑样本进行了全面分析,包括481例AD病例和307例健康对照,检测蛋白质和mRNA水平以揭示与AD相关的分子变化。然后将这些发现与不同EV亚群的蛋白质组进行比较,以确定潜在的治疗候选物。 方法:采用多组学方法,整合蛋白质组学和转录组学数据分析、miRNA和转录因子谱分析、蛋白质-蛋白质网络构建、枢纽基因鉴定和富集分析。该方法旨在探索AD大脑中的分子变化,并确定用于治疗干预的最相关EV亚群。 结果:我们在蛋白质和mRNA水平上均发现了环磷酸腺苷(cAMP)信号通路和凝血级联反应中的常见改变。在蛋白质水平观察到能量代谢的明显变化,但在mRNA水平未观察到。一种通过高速离心获得的具有更广泛大小分布特征的特定EV亚型被确定能够补偿AD大脑中失调的线粒体蛋白质稳态。网络生物学分析进一步突出了该EV亚型内关键治疗性蛋白质的潜在调节因子。 结论:本研究强调了蛋白质组学改变在AD中的关键作用,并确定了一个有前景的EV亚群,其富含靶向线粒体蛋白质稳态的蛋白质,作为AD的一种潜在治疗策略。
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