Dataset Information

Plasma epidermal growth factor levels predict cognitive decline in Parkinson disease.

ABSTRACT: Most people with Parkinson disease (PD) eventually develop cognitive impairment (CI). However, neither the timing of onset nor the severity of cognitive symptoms can be accurately predicted. We sought plasma-based biomarkers for CI in PD.A discovery cohort of 70 PD patients was recruited. Cognitive status was evaluated with the Mattis Dementia Rating Scale-2 (DRS) at baseline and on annual follow-up visits, and baseline plasma levels of 102 proteins were determined with a bead-based immunoassay. Using linear regression, we identified biomarkers of CI in PD, that is, proteins whose levels correlated with cognitive performance at baseline and/or cognitive decline at follow-up. We then replicated the association between cognitive performance and levels of the top biomarker, using a different technical platform, with a separate cohort of 113 PD patients.Eleven proteins exhibited plasma levels correlating with baseline cognitive performance in the discovery cohort. The best candidate was epidermal growth factor (EGF, p < 0.001); many of the other 10 analytes covaried with EGF across samples. Low levels of EGF not only correlated with poor cognitive test scores at baseline, but also predicted an 8-fold greater risk of cognitive decline to dementia-range DRS scores at follow-up for those with intact baseline cognition. A weaker, but still significant, relationship between plasma EGF levels and cognitive performance was found in an independent replication cohort of 113 PD patients.Our data suggest that plasma EGF may be a biomarker for progression to CI in PD.

SUBMITTER: Chen-Plotkin AS

PROVIDER: S-EPMC3155276 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Plasma epidermal growth factor levels predict cognitive decline in Parkinson disease.

Chen-Plotkin Alice S AS Hu William T WT Siderowf Andrew A Weintraub Daniel D Goldmann Gross Rachel R Hurtig Howard I HI Xie Sharon X SX Arnold Steven E SE Grossman Murray M Clark Christopher M CM Shaw Leslie M LM McCluskey Leo L Elman Lauren L Van Deerlin Vivianna M VM Lee Virginia M-Y VM Soares Holly H Trojanowski John Q JQ

Annals of neurology 20101129 4

<h4>Objective</h4>Most people with Parkinson disease (PD) eventually develop cognitive impairment (CI). However, neither the timing of onset nor the severity of cognitive symptoms can be accurately predicted. We sought plasma-based biomarkers for CI in PD.<h4>Methods</h4>A discovery cohort of 70 PD patients was recruited. Cognitive status was evaluated with the Mattis Dementia Rating Scale-2 (DRS) at baseline and on annual follow-up visits, and baseline plasma levels of 102 proteins were determi ...[more]

PMID: 21520231

Similar Datasets

Project description:IntroductionAlzheimer's disease (AD) is characterized by the deposition of tau and amyloid in the brain. Although the core cerebrospinal fluid (CSF) AD biomarkers amyloid β peptide 1-42 (Aβ1-42), total tau (t-tau) and phosphorylated tau 181 (p-tau181) show good diagnostic sensitivity and specificity, additional biomarkers that can aid in preclinical diagnosis or better track disease progression are needed. Activation of the complement system, a pivotal part of inflammation, occurs at very early stages in the AD brain. Therefore, CSF levels of complement proteins that could be linked to cognitive and structural changes in AD may have diagnostic and prognostic value.MethodsUsing xMAP® technology based assays we measured complement 3 (C3) and factor H (FH) in the CSF of 110 controls (CN), 187 mild cognitive impairment (MCI) and 92 AD subjects of the AD Neuroimaging Initiative (ADNI) at baseline. All ADNI participants underwent clinical follow-up at 12 month intervals and MCI subjects had additional visits at 6 and 18 months. The association between CSF biomarkers and different outcome measures were analyzed using Cox proportional hazard models (conversion from MCI to AD), logistic regression models (classification of clinical groups) and mixed-effects models adjusted for age, gender, education, t-tau/Aβ1-42 and APOE ϵ4 presence (baseline and longitudinal association between biomarkers and cognitive scores).ResultsAlthough no association was found between the complement proteins and clinical diagnosis or cognitive measures, lower levels of C3 (β = -0.12, p = 0.041) and FH (β = -0.075, p = 0.041) were associated with faster cognitive decline in MCI subjects as measured by the AD Assessment Scale-cognitive subscale (ADAS-Cog) test. Furthermore, lower FH levels were associated with larger lateral ventricular volume (p = 0.024), which is indicative of brain atrophy.ConclusionsOur study confirms a lack of suitability of CSF C3 and FH as diagnostic biomarkers of AD, but points to their modest potential as prognostic biomarkers and therapeutic targets in cognitively impaired patients.

Dataset Information

Plasma epidermal growth factor levels predict cognitive decline in Parkinson disease.

Publications

Plasma epidermal growth factor levels predict cognitive decline in Parkinson disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure