Article
Recent cerebrospinal fluid biomarker studies of Alzheimer's disease.
Department of Chemical Engineering and Delaware Biotechnology Institute, University of Delaware, Newark, DE 19711, USA.
Expert Review of Proteomics (impact factor:
3.68).
12/2010;
7(6):919-29.
DOI:10.1586/epr.10.75
pp.919-29
Source: PubMed
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Citations (0)
- Cited In (2)
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Article: Developing predictive CSF biomarkers-a challenge critical to success in Alzheimer's disease and neuropsychiatric translational medicine.
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ABSTRACT: The need to develop effective treatments for Alzheimer's disease has been confounded by repeated clinical failures where promising new chemical entities that have been extensively characterized in preclinical models of Alzheimer's disease have failed to show efficacy in the human disease state. This has been attributed to: the selection of drug targets that have yet to be shown as causal to the disease as distinct from being the result of the disease process, a lack of congruence in the animal models of Alzheimer's disease, wild-type and transgenic, to the human disease, and the enrollment of patients in proof of concept clinical trials who are at too advanced a stage of the disease to respond to any therapeutic. The development of validated biomarkers that can be used for disease diagnosis and progression is anticipated to improve patient enrollment in clinical trials, to develop new animal models and to identify new disease targets for drug discovery. The present review assesses the status of current efforts in developing CSF biomarkers for Alzheimer's disease and briefly discusses the status of CSF biomarker efforts in schizophrenia, depression, Parkinson's disease and multiple sclerosis.Biochemical pharmacology 02/2011; 81(12):1422-34. · 4.25 Impact Factor -
Article: Metabolite profiling of Alzheimer's disease cerebrospinal fluid.
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ABSTRACT: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive loss of cognitive functions. Today the diagnosis of AD relies on clinical evaluations and is only late in the disease. Biomarkers for early detection of the underlying neuropathological changes are still lacking and the biochemical pathways leading to the disease are still not completely understood. The aim of this study was to identify the metabolic changes resulting from the disease phenotype by a thorough and systematic metabolite profiling approach. For this purpose CSF samples from 79 AD patients and 51 healthy controls were analyzed by gas and liquid chromatography-tandem mass spectrometry (GC-MS and LC-MS/MS) in conjunction with univariate and multivariate statistical analyses. In total 343 different analytes have been identified. Significant changes in the metabolite profile of AD patients compared to healthy controls have been identified. Increased cortisol levels seemed to be related to the progression of AD and have been detected in more severe forms of AD. Increased cysteine associated with decreased uridine was the best paired combination to identify light AD (MMSE>22) with specificity and sensitivity above 75%. In this group of patients, sensitivity and specificity above 80% were obtained for several combinations of three to five metabolites, including cortisol and various amino acids, in addition to cysteine and uridine.PLoS ONE 01/2012; 7(2):e31501. · 4.09 Impact Factor
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Keywords
Alzheimer's disease
Alzheimer's disease biomarker discovery studies
Alzheimer's disease CSF
antemortem diagnosis
cerebral cortex
cerebrospinal fluid
common form
CSF
diagnostic biomarkers
neuritic plaques
proteomics studies
substantial
validation