Document Detail


Biomarkers for Alzheimer's disease: academic, industry and regulatory perspectives.
MedLine Citation:
PMID:  20592748     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Advances in therapeutic strategies for Alzheimer's disease that lead to even small delays in onset and progression of the condition would significantly reduce the global burden of the disease. To effectively test compounds for Alzheimer's disease and bring therapy to individuals as early as possible there is an urgent need for collaboration between academic institutions, industry and regulatory organizations for the establishment of standards and networks for the identification and qualification of biological marker candidates. Biomarkers are needed to monitor drug safety, to identify individuals who are most likely to respond to specific treatments, to stratify presymptomatic patients and to quantify the benefits of treatments. Biomarkers that achieve these characteristics should enable objective business decisions in portfolio management and facilitate regulatory approval of new therapies.
Authors:
Harald Hampel; Richard Frank; Karl Broich; Stefan J Teipel; Russell G Katz; John Hardy; Karl Herholz; Arun L W Bokde; Frank Jessen; Yvonne C Hoessler; Wendy R Sanhai; Henrik Zetterberg; Janet Woodcock; Kaj Blennow
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Nature reviews. Drug discovery     Volume:  9     ISSN:  1474-1784     ISO Abbreviation:  Nat Rev Drug Discov     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2010-07-01     Completed Date:  2010-07-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101124171     Medline TA:  Nat Rev Drug Discov     Country:  England    
Other Details:
Languages:  eng     Pagination:  560-74     Citation Subset:  IM    
Affiliation:
Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Johann Wolfgang Goethe-University, Heinrich-Hoffmann-Str. 10, 60528 Frankfurt/Main, Germany. harald.hampel@med.uni-frankfurt.de
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MeSH Terms
Descriptor/Qualifier:
Alzheimer Disease / diagnosis*,  genetics
Animals
Biological Markers*
Clinical Trials as Topic
Drug Discovery / legislation & jurisprudence*,  trends*
Drug Industry / trends*
Endpoint Determination
Humans
Magnetic Resonance Imaging
Molecular Biology
Positron-Emission Tomography
Risk Assessment
Chemical
Reg. No./Substance:
0/Biological Markers

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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