帕金森病
疾病
黑质
生物标志物
代谢组学
多巴胺能
神经科学
临床表型
医学
生物信息学
生物
表型
多巴胺
病理
遗传学
基因
作者
Jacopo Troisi,Annamaria Landolfi,Pierpaolo Cavallo,F. Marcianò,Paolo Barone,Marianna Amboni
出处
期刊:Advances in Clinical Chemistry
日期:2020-10-21
卷期号:: 107-149
被引量:10
标识
DOI:10.1016/bs.acc.2020.09.003
摘要
Parkinson's disease (PD) is a multifactorial neurodegenerative disorder in which environmental (lifestyle, dietary, infectious disease) factors as well as genetic make-up play a role. Metabolomics, an evolving research field combining biomarker discovery and pathogenetics, is particularly useful in studying complex pathophysiology in general and Parkinson's disease (PD) specifically. PD, the second most frequent neurodegenerative disorder, is characterized by the loss of dopaminergic neurons in the substantia nigra and the presence of intraneural inclusions of α-synuclein aggregates. Although considered a predominantly movement disorder, PD is also associated with number of non-motor features. Metabolomics has provided useful information regarding this neurodegenerative process with the aim of identifying a disease-specific fingerprint. Unfortunately, many disease variables such as clinical presentation, motor system involvement, disease stage and duration substantially affect biomarker relevance. As such, metabolomics provides a unique approach to studying this multifactorial neurodegenerative disorder.
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