生物标志物
生物标志物发现
蛋白质组学
帕金森病
仿形(计算机编程)
脑脊液
疾病
计算生物学
生物信息学
医学
生物
病理
计算机科学
基因
遗传学
操作系统
作者
Mohd Faizan,Nidhi Sachan,O. P. Verma,Alika Sarkar,Neeraj Rawat,Mahendra Pratap Singh
标识
DOI:10.1016/j.cca.2024.117848
摘要
Proteomic profiling is an effective way to identify biomarkers for Parkinson’s disease (PD). Cerebrospinal fluid (CSF) has direct connectivity with the brain and could be a source of finding biomarkers and their clinical implications. Comparative proteomic profiling has shown that a group of differentially displayed proteins exist. The studies performed using conventional and classical tools also supported the occurrence of these proteins. Many studies have highlighted the potential of CSF proteomic profiling for biomarker identification and their clinical applications. Some of these proteins are useful for disease diagnosis and prediction. Proteomic profiling of CSF also has immense potential to distinguish PD from similar neurodegenerative disorders. A few protein biomarkers help in fundamental knowledge generation and clinical interpretation. However, the specific biomarker of PD is not yet known. The use of proteomic approaches in clinical settings is also rare. A large-scale, multi-centric, multi-population and multi-continental study using multiple proteomic tools is warranted. Such a study can provide valuable, comprehensive and reliable information for a better understanding of PD and the development of specific biomarkers. The current article sheds light on the role of CSF proteomic profiling in identifying biomarkers of PD and their clinical implications. The article also explains the achievements, obstacles and hopes for future directions of this approach.
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