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Drug discovery today · Apr 2015
ReviewImproving the predictive value of interventional animal models data.
- Caroline J Zeiss.
- Section of Comparative Medicine, Yale University School of Medicine, 375 Congress Ave, New Haven, CT 06520, USA. Electronic address: caroline.zeiss@yale.edu.
- Drug Discov. Today. 2015 Apr 1; 20 (4): 475-82.
AbstractFor many chronic diseases, translational success using the animal model paradigm has reached an impasse. Using Alzheimer's disease as an example, this review employs a networks-based method to assess repeatability of outcomes across species, by intervention and mechanism. Over 75% of animal studies reported an improved outcome. Strain background was a significant potential confounder. Five percent of interventions had been tested across animals and humans, or examined across three or more animal models. Positive outcomes across species emerged for donepezil, memantine and exercise. Repeatable positive outcomes in animals were identified for the amyloid hypothesis and three additional mechanisms. This approach supports in silico reduction of positive outcomes bias in animal studies. Copyright © 2014 Elsevier Ltd. All rights reserved.
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