Open Access. Powered by Scholars. Published by Universities.®

Laboratory and Basic Science Research Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 3 of 3

Full-Text Articles in Laboratory and Basic Science Research

Alzheimer Disease Research In The 21st Century: Past And Current Failures, New Perspectives And Funding Priorities, Francesca Pistollato, Elan L. Ohayon, Ann Lam, Gillian R. Langley, Thomas J. Novak, David Pamies, George Perry, Eugenia Trushina, Robin S.B. Williams, Alex E. Roher, Thomas Hartung, Stevan Harnad, Neal D. Barnard, Martha Clare Morris, Mei-Chun Lai, Ryan Merkley, P. Charukeshi Chandrasekera Aug 2016

Alzheimer Disease Research In The 21st Century: Past And Current Failures, New Perspectives And Funding Priorities, Francesca Pistollato, Elan L. Ohayon, Ann Lam, Gillian R. Langley, Thomas J. Novak, David Pamies, George Perry, Eugenia Trushina, Robin S.B. Williams, Alex E. Roher, Thomas Hartung, Stevan Harnad, Neal D. Barnard, Martha Clare Morris, Mei-Chun Lai, Ryan Merkley, P. Charukeshi Chandrasekera

Gill Langley, PhD

Much of Alzheimer disease (AD) research has been traditionally based on the use of animals, which have been extensively applied in an effort to both improve our understanding of the pathophysiological mechanisms of the disease and to test novel therapeutic approaches. However, decades of such research have not effectively translated into substantial therapeutic success for human patients. Here we critically discuss these issues in order to determine how existing human-based methods can be applied to study AD pathology and develop novel therapeutics. These methods, which include patient-derived cells, computational analysis and models, together with large-scale epidemiological studies represent novel and …


Alzheimer Disease Research In The 21st Century: Past And Current Failures, New Perspectives And Funding Priorities, Francesca Pistollato, Elan L. Ohayon, Ann Lam, Gillian R. Langley, Thomas J. Novak, David Pamies, George Perry, Eugenia Trushina, Robin S.B. Williams, Alex E. Roher, Thomas Hartung, Stevan Harnad, Neal D. Barnard, Martha Clare Morris, Mei-Chun Lai, Ryan Merkley, P. Charukeshi Chandrasekera May 2016

Alzheimer Disease Research In The 21st Century: Past And Current Failures, New Perspectives And Funding Priorities, Francesca Pistollato, Elan L. Ohayon, Ann Lam, Gillian R. Langley, Thomas J. Novak, David Pamies, George Perry, Eugenia Trushina, Robin S.B. Williams, Alex E. Roher, Thomas Hartung, Stevan Harnad, Neal D. Barnard, Martha Clare Morris, Mei-Chun Lai, Ryan Merkley, P. Charukeshi Chandrasekera

Experimentation Collection

Much of Alzheimer disease (AD) research has been traditionally based on the use of animals, which have been extensively applied in an effort to both improve our understanding of the pathophysiological mechanisms of the disease and to test novel therapeutic approaches. However, decades of such research have not effectively translated into substantial therapeutic success for human patients. Here we critically discuss these issues in order to determine how existing human-based methods can be applied to study AD pathology and develop novel therapeutics. These methods, which include patient-derived cells, computational analysis and models, together with large-scale epidemiological studies represent novel and …


Animal Model Research: The Apples And Oranges Quandary, Kenneth J. Shapiro Apr 2016

Animal Model Research: The Apples And Oranges Quandary, Kenneth J. Shapiro

Kenneth J. Shapiro, PhD

In this paper, I explore the premises underlying the problem of the evaluation of animal models. I argue that the presence of similarities and differences between the model and the modelled, although historically and currently a dominant antinomy framing evaluation, is not a bottom-line consideration. What is critical is 1) whether we learn and 2) whether we improve treatment through the animal model research. Similarity between model and modelled and the closely related concept of validity are not coterminus with these critical evaluative measures. In fact, differences between the model and modelled also can provide impetus to new understanding and …