CSF biomarkers associated with disease heterogeneity in early Parkinson’s disease: the Parkinson’s Progression Markers Initiative study

被引:0
作者
Ju-Hee Kang
Brit Mollenhauer
Christopher S. Coffey
Jon B. Toledo
Daniel Weintraub
Douglas R. Galasko
David J. Irwin
Vivianna Van Deerlin
Alice S. Chen-Plotkin
Chelsea Caspell-Garcia
Teresa Waligórska
Peggy Taylor
Nirali Shah
Sarah Pan
Pawel Zero
Mark Frasier
Kenneth Marek
Karl Kieburtz
Danna Jennings
Caroline M. Tanner
Tanya Simuni
Andrew Singleton
Arthur W. Toga
Sohini Chowdhury
John Q. Trojanowski
Leslie M. Shaw
机构
[1] University of Pennsylvania,Department of Pathology and Laboratory Medicine, Perelman School of Medicine
[2] Inha University School of Medicine,Department of Pharmacology, Hypoxia
[3] Paracelsus-Elena Klinik,related Disease Research Center
[4] University Medical Center Goettingen,Department of Neuropathology and Neurosurgery
[5] University of Iowa,Department of Biostatistics, College of Public Health
[6] Institute on Aging,Center for Neurodegenerative Disease Research
[7] Perelman School of Medicine,Department of Neurology
[8] University of Pennsylvania,Department of Psychiatry
[9] Morris K. Udall Center of Excellence for Parkinson’s Disease Research,Department of Neurosciences
[10] Perelman School of Medicine,Department of Neurology
[11] University of Pennsylvania,Department of Neurology, Feinberg School of Medicine
[12] Perelman School of Medicine,Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging
[13] University of Pennsylvania,Laboratory of Neuro Imaging, The Institute for Neuroimaging and Informatics, Keck School of Medicine of USC
[14] Department of Veterans Affairs,undefined
[15] University of California,undefined
[16] BioLegend Inc.,undefined
[17] The Michael J. Fox Foundation for Parkinson’s Research,undefined
[18] Institute for Neurodegenerative Disorders,undefined
[19] University of Rochester School of Medicine and Dentistry,undefined
[20] University of California-San Francisco and San Francisco Veteran’s Affairs Medical Center,undefined
[21] Northwestern University,undefined
[22] National Institutes of Health,undefined
[23] University of Southern California,undefined
来源
Acta Neuropathologica | 2016年 / 131卷
关键词
Parkinson’s disease; Cerebrospinal fluid biomarker; Parkinson’s Progression Markers Initiative; Aβ; Tau; Alpha-synuclein;
D O I
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学科分类号
摘要
The development of biomarkers to predict the progression of Parkinson’s disease (PD) from its earliest stage through its heterogeneous course is critical for research and therapeutic development. The Parkinson’s Progression Markers Initiative (PPMI) study is an ongoing international multicenter, prospective study to validate biomarkers in drug-naïve PD patients and matched healthy controls (HC). We quantified cerebrospinal fluid (CSF) alpha-synuclein (α-syn), amyloid-beta1-42 (Aβ1-42), total tau (t-tau), and tau phosphorylated at Thr181 (p-tau) in 660 PPMI subjects at baseline, and correlated these data with measures of the clinical features of these subjects. We found that CSF α-syn, t-tau and p-tau levels, but not Aβ1-42, were significantly lower in PD compared with HC, while the diagnostic value of the individual CSF biomarkers for PD diagnosis was limited due to large overlap. The level of α-syn, but not other biomarkers, was significantly lower in PD patients with non-tremor-dominant phenotype compared with tremor-dominant phenotype. In addition, in PD patients the lowest Aβ1-42, or highest t-tau/Aβ1-42 and t-tau/α-syn quintile in PD patients were associated with more severe non-motor dysfunction compared with the highest or lowest quintiles, respectively. In a multivariate regression model, lower α-syn was significantly associated with worse cognitive test performance. APOE ε4 genotype was associated with lower levels of Aβ1-42, but neither with PD diagnosis nor cognition. Our data suggest that the measurement of CSF biomarkers in early-stage PD patients may relate to disease heterogeneity seen in PD. Longitudinal observations in PPMI subjects are needed to define their prognostic performance.
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页码:935 / 949
页数:14
相关论文
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