Jain Ankit P, Sathe Gajanan
Institute of Bioinformatics, International Technology Park, Bangalore 560066, India.
Manipal Academy of Higher Education (MAHE), Manipal 576104, India.
Proteomes. 2021 Mar 10;9(1):13. doi: 10.3390/proteomes9010013.
Alzheimer's disease (AD) is the most prevalent form of dementia, and the numbers of AD patients are expected to increase as human life expectancy improves. Deposition of β-amyloid protein (Aβ) in the extracellular matrix and intracellular neurofibrillary tangles are molecular hallmarks of the disease. Since the precise pathophysiology of AD has not been elucidated yet, effective treatment is not available. Thus, understanding the disease pathology, as well as identification and development of valid biomarkers, is imperative for early diagnosis as well as for monitoring disease progression and therapeutic responses. Keeping this goal in mind several studies using quantitative proteomics platform have been carried out on both clinical specimens including the brain, cerebrospinal fluid (CSF), plasma and on animal models of AD. In this review, we summarize the mass spectrometry (MS)-based proteomics studies on AD and discuss the discovery as well as validation stages in brief to identify candidate biomarkers.
阿尔茨海默病(AD)是最常见的痴呆形式,随着人类预期寿命的提高,AD患者数量预计会增加。β-淀粉样蛋白(Aβ)在细胞外基质中的沉积和细胞内神经原纤维缠结是该疾病的分子标志。由于AD的确切病理生理学尚未阐明,因此尚无有效的治疗方法。因此,了解疾病病理以及识别和开发有效的生物标志物对于早期诊断以及监测疾病进展和治疗反应至关重要。牢记这一目标,已经在包括大脑、脑脊液(CSF)、血浆在内的临床标本以及AD动物模型上开展了多项使用定量蛋白质组学平台的研究。在这篇综述中,我们总结了基于质谱(MS)的AD蛋白质组学研究,并简要讨论了发现阶段以及验证阶段,以识别候选生物标志物。