Biological Science Department, Bharathiar University, Coimbatore, Tamil Nadu -641046, India.
Department of Medical Biotechnology, Yeungnam University, Gyeongsan, 712-749, Korea.
Curr Protein Pept Sci. 2020;21(12):1174-1183. doi: 10.2174/1389203721666200511094222.
Changes in protein structure and function, alteration in protein-protein interaction, and significant difference in protein concentration inside the body could play an important role in indicating the pathological evidence of abnormalities before the development of clinical symptoms and act as a critical detection and diagnostic tool commonly known as biomarkers. Biomarkers play important roles in the diagnosis of various chronic diseases, including cancer. Neurodegenerative disorders, including Parkinson's, Alzheimer's, Huntington's, prion, and multiple sclerosis, are well characterized by neuronal deterioration, resulting in precise modifications of neuronal proteins. Nowadays, the diagnosis of neurological disorders is based on proteins or biomarkers. These biomarkers may be found in the cerebrospinal fluid, blood, serum, plasma, saliva, or urine sample. Early diagnosis is urgently needed to prevent further damage. For early diagnosis, identifying the changes in novel protein levels and their functions under the disease conditions is necessary. These can be used as specific proteomic biomarkers for diseases, and they can be possibly identified using neuroproteomics. Neuroproteomics is an emerging tool to corroborate disease-associated protein profiles. It also gives an idea about how these proteins interact with other proteins and undergo post-translational modifications. Neuroproteomics is based on bioinformatics, which provides functional characteristics and advances in technology such as mass spectroscopy, and can help in the discovery of various disease-specific biomarkers. This review gives a complete idea about the types of biomarkers, sources of biomarkers, and techniques involved in the discovery of biomarkers for early diagnosis of neurodegenerative diseases.
蛋白质结构和功能的变化、蛋白质-蛋白质相互作用的改变以及体内蛋白质浓度的显著差异,可能在指示临床症状出现前的异常病理证据方面发挥重要作用,并作为一种常见的检测和诊断工具,即生物标志物。生物标志物在各种慢性疾病(包括癌症)的诊断中发挥着重要作用。神经退行性疾病,包括帕金森病、阿尔茨海默病、亨廷顿病、朊病毒病和多发性硬化症,其特征是神经元退化,导致神经元蛋白的精确修饰。如今,神经系统疾病的诊断基于蛋白质或生物标志物。这些生物标志物可以在脑脊液、血液、血清、血浆、唾液或尿液样本中找到。迫切需要早期诊断以防止进一步的损害。为了进行早期诊断,有必要识别疾病状态下新型蛋白质水平及其功能的变化。这些可以用作疾病的特异性蛋白质组学生物标志物,并且可以使用神经蛋白质组学来识别它们。神经蛋白质组学是一种新兴的工具,可以验证与疾病相关的蛋白质谱。它还可以让我们了解这些蛋白质如何与其他蛋白质相互作用并发生翻译后修饰。神经蛋白质组学基于生物信息学,它提供了功能特征和技术进步,如质谱,有助于发现各种疾病特异性的生物标志物。这篇综述全面介绍了生物标志物的类型、生物标志物的来源以及用于发现神经退行性疾病早期诊断的生物标志物的技术。