title: Unbiased approaches to biomarker discovery in neurodegenerative diseases.
abstract: Neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and frontotemporal dementia have several important features in common. They are progressive, they affect a relatively inaccessible organ, and we have no disease-modifying therapies for them. For these brain-based diseases, current diagnosis and evaluation of disease severity rely almost entirely on clinical examination, which may be only a rough approximation of disease state. Thus, the development of biomarkers-objective, relatively easily measured, and precise indicators of pathogenic processes-could improve patient care and accelerate therapeutic discovery. Yet existing, rigorously tested neurodegenerative disease biomarkers are few, and even fewer biomarkers have translated into clinical use. To find new biomarkers for these diseases, an unbiased, high-throughput screening approach may be needed. In this review, I will describe the potential utility of such an approach to biomarker discovery, using Parkinson's disease as a case example.
authors.affiliation: Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, 3 West Gates, 3400 Spruce Street, Philadelphia, PA 19104, USA. Electronic address: chenplot@mail.med.upenn.edu.
authors.forename: Alice S
authors.initials: AS
authors.lastname: Chen-Plotkin
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism*; D001921:Brain / Q000378:metabolism* / Q000473:pathology*; D006801:Humans; D019636:Neurodegenerative Diseases / Q000175:diagnosis* / Q000378:metabolism*
chemical_list: D015415:Biomarkers