揭开分子足迹:基于蛋白质组的阿尔茨海默病生物标志物。

IF 4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Proteomes Pub Date : 2023-10-16 DOI:10.3390/proteomes11040033
Mukul Jain, Rupal Dhariwal, Nil Patil, Sandhya Ojha, Reshma Tendulkar, Mugdha Tendulkar, Parmdeep Singh Dhanda, Alpa Yadav, Prashant Kaushik
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引用次数: 0

摘要

阿尔茨海默病(AD)是一种破坏性的神经退行性疾病,其特征是进行性认知能力下降和记忆力丧失。AD的早期准确诊断对于及时实施干预和制定有效的治疗策略至关重要。基于蛋白质组的生物标志物由于能够反映疾病特异性分子变化,已成为AD诊断和预后的有前途的工具。生物标志物在AD诊断和治疗中具有重要意义。它强调了现有诊断方法的局限性以及对可靠和可获得的生物标志物的需求。蛋白质组学是一个全面分析细胞、组织或生物流体的整个蛋白质补体的领域,是鉴定AD生物标志物的有力工具。AD研究中采用了多种蛋白质组学方法,包括质谱法、二维凝胶电泳和蛋白质微阵列。与确定可靠的生物标志物相关的挑战,如样本异质性和疾病的动态性质。有一些与AD发病机制有关的众所周知的蛋白质,如淀粉样蛋白β肽、tau蛋白、Apo脂蛋白E和clusterin,以及炎症标志物和补体蛋白。基于蛋白质组的生物标志物的验证和临床实用性正在解决验证研究和这些生物标志物诊断准确性方面的挑战。在监测疾病进展和治疗反应方面有很大的潜力,从而有助于AD患者的个性化药物治疗方法。生物信息学和数据分析在蛋白质组学中对AD生物标志物研究具有重要作用,数据预处理、统计分析、通路分析和多组学数据整合对于全面理解AD病理生理学具有重要意义。总之,基于蛋白质组的生物标志物在AD研究领域具有很大的前景。它们为疾病机制提供了有价值的见解,有助于早期诊断,并促进个性化治疗策略。然而,有必要进行进一步的研究和验证研究,以充分发挥基于蛋白质组的生物标志物在临床实践中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Unveiling the Molecular Footprint: Proteome-Based Biomarkers for Alzheimer's Disease.

Alzheimer's disease (AD) is a devastating neurodegenerative disorder characterized by progressive cognitive decline and memory loss. Early and accurate diagnosis of AD is crucial for implementing timely interventions and developing effective therapeutic strategies. Proteome-based biomarkers have emerged as promising tools for AD diagnosis and prognosis due to their ability to reflect disease-specific molecular alterations. There is of great significance for biomarkers in AD diagnosis and management. It emphasizes the limitations of existing diagnostic approaches and the need for reliable and accessible biomarkers. Proteomics, a field that comprehensively analyzes the entire protein complement of cells, tissues, or bio fluids, is presented as a powerful tool for identifying AD biomarkers. There is a diverse range of proteomic approaches employed in AD research, including mass spectrometry, two-dimensional gel electrophoresis, and protein microarrays. The challenges associated with identifying reliable biomarkers, such as sample heterogeneity and the dynamic nature of the disease. There are well-known proteins implicated in AD pathogenesis, such as amyloid-beta peptides, tau protein, Apo lipoprotein E, and clusterin, as well as inflammatory markers and complement proteins. Validation and clinical utility of proteome-based biomarkers are addressing the challenges involved in validation studies and the diagnostic accuracy of these biomarkers. There is great potential in monitoring disease progression and response to treatment, thereby aiding in personalized medicine approaches for AD patients. There is a great role for bioinformatics and data analysis in proteomics for AD biomarker research and the importance of data preprocessing, statistical analysis, pathway analysis, and integration of multi-omics data for a comprehensive understanding of AD pathophysiology. In conclusion, proteome-based biomarkers hold great promise in the field of AD research. They provide valuable insights into disease mechanisms, aid in early diagnosis, and facilitate personalized treatment strategies. However, further research and validation studies are necessary to harness the full potential of proteome-based biomarkers in clinical practice.

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来源期刊
Proteomes
Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.50
自引率
3.00%
发文量
37
审稿时长
11 weeks
期刊介绍: Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics
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