Neuroproteomic tools for battling Alzheimer's disease

With the life expectancy of individuals in the developed nations reaching historic highs, the incidence of dementia within the aging population is also increasing. Of the known causes of dementia, the major culprit is Alzheimer's disease (AD). The numbers of individuals suffering from AD is exp...

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Bibliographic Details
Published inProteomics (Weinheim) Vol. 16; no. 22; pp. 2847 - 2853
Main Author Veenstra, Timothy D.
Format Journal Article
LanguageEnglish
Published Germany Blackwell Publishing Ltd 01.11.2016
Wiley Subscription Services, Inc
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Summary:With the life expectancy of individuals in the developed nations reaching historic highs, the incidence of dementia within the aging population is also increasing. Of the known causes of dementia, the major culprit is Alzheimer's disease (AD). The numbers of individuals suffering from AD is expected to nearly triple over the next 35 years unless medical science can identify better methods for diagnosing and treating AD. Fortunately, proteomics technologies have not only rapidly matured in the past few decades but also have been effectively applied so that the biomarkers of AD can be more effectively vetted and analyzed. The effectiveness of the technologies described in this paper enable the efficacy of drugs aimed at treating AD to be tested much faster than the previously possible and enable the more accurate selection of patients that are suitable for clinical trials.
Bibliography:istex:B367E6026123A9993D7EFB87D66222C575A2DE26
ark:/67375/WNG-KQVKMGH6-R
ArticleID:PMIC12500
Maranatha Baptist University
The author would like to dedicate this paper to Dr. Michael J. Dunn for his many editorial accomplishments, energy and tremendous contribution to the proteomics community as Editor-in-Chief of Proteomics.
The author would like to dedicate this paper to Dr. Michael J. Dunn for his many editorial accomplishments, energy and tremendous contribution to the proteomics community as Editor‐in‐Chief of Proteomics.
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ISSN:1615-9853
1615-9861
DOI:10.1002/pmic.201600211