期刊
JOURNAL OF MOVEMENT DISORDERS
卷 9, 期 2, 页码 89-96出版社
KOREAN MOVEMENT DISORDERS SOC
DOI: 10.14802/jmd.16017
关键词
Parkinson's disease; Cognition; Cerebrospinal fluid biomarkers; alpha-synuclein; Amyloid beta(1-42); Parkinson's Progression Markers Initiative
资金
- Mid-Career Researcher Program through the National Research Foundation of Korea (NRF) [2013R1A2A2A01008223]
- National Research Foundation of Korea [2013R1A2A2A01008223] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Parkinson's disease (PD) is a neurodegenerative disease with heterogeneous pathological and clinical features. Cognitive dysfunction, a frequent nonmotor complication, is a risk factor for poor prognosis and shows inter-individual variation in its progression. Of the clinical studies performed to identify biomarkers of PD progression, the Parkinson's Progression Markers Initiative (PPMI) study is the largest study that enrolled drug-naive and very early stage PD patients. The baseline characteristics of the PPMI cohort were recently published. The diagnostic utility of cerebrospinal fluid (CSF) biomarkers, including alpha-synuclein (alpha-syn), total tau, phosphorylated tau at Thr 181, and amyloid beta(1-42), was not satisfactory. However, the baseline data on CSF biomarkers in the PPMI study suggested that the measurement of the CSF biomarkers enables the prediction of future cognitive decline in PD patients, which was consistent with previous studies. To prove the hypothesis that the interaction between Alzheimer's pathology and alpha-syn pathology is important to the progression of cognitive dysfunction in PD, longitudinal observational studies must be followed. In this review, the neuropathological nature of heterogeneous cognitive decline in PD is briefly discussed, followed by a summarized interpretation of baseline CSF biomarkers derived from the data in the PPMI study. The combination of clinical, biochemical, genetic and imaging biomarkers of PD constitutes a feasible strategy to predict the heterogeneous progression of PD.
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