Wu Feixuan, Li Wei, Lu Haiyan, Li Lingjun
School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA.
School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Biophysics Graduate Program, University of Wisconsin-Madison, Wisconsin, USA; Lachman Institute for Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA; Wisconsin Center for NanoBioSystems, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Mol Cell Proteomics. 2025 May 29;24(7):101003. doi: 10.1016/j.mcpro.2025.101003.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline. There are more than 10 million new cases of AD each year worldwide, implying one new case every 3.2 s. Post-translational modifications (PTMs) such as phosphorylation, glycosylation, and citrullination have emerged as key modulators of protein function in AD, influencing protein aggregation, clearance, and toxicity. Mass spectrometry (MS) has become an indispensable tool for detecting and quantifying these PTMs, offering valuable insights into their role in AD pathogenesis. This review explores recent advancements in MS-based studies of PTMs in AD, with emphasis on MS techniques, such as data-dependent acquisition (DDA) and data-independent acquisition (DIA), as well as enrichment methods used to characterize PTMs. The applications of these MS-based approaches to the study of various PTMs are highlighted, which have significantly accelerated the biomarker discovery process, providing new avenues for early diagnosis and therapeutic targeting. Advances in biological understanding and analytical techniques, while addressing the challenges and future directions, will be discussed.
阿尔茨海默病(AD)是一种以认知功能衰退为特征的进行性神经退行性疾病。全球每年有超过1000万例新发AD病例,意味着每3.2秒就有一例新发病例。翻译后修饰(PTM),如磷酸化、糖基化和瓜氨酸化,已成为AD中蛋白质功能的关键调节因子,影响蛋白质聚集、清除和毒性。质谱(MS)已成为检测和定量这些PTM的不可或缺的工具,为了解它们在AD发病机制中的作用提供了有价值的见解。本综述探讨了基于MS的AD中PTM研究的最新进展,重点介绍了MS技术,如数据依赖采集(DDA)和数据非依赖采集(DIA),以及用于表征PTM的富集方法。强调了这些基于MS的方法在各种PTM研究中的应用,这些应用显著加速了生物标志物发现过程,为早期诊断和治疗靶点提供了新途径。还将讨论在生物学理解和分析技术方面的进展,同时探讨面临的挑战和未来方向。