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Linking insulin with Alzheimer’s disease: emergence as type III diabetes

Overview of attention for article published in Neurological Sciences, August 2015
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Title
Linking insulin with Alzheimer’s disease: emergence as type III diabetes
Published in
Neurological Sciences, August 2015
DOI 10.1007/s10072-015-2352-5
Pubmed ID
Authors

Sara Ahmed, Zahra Mahmood, Saadia Zahid

Abstract

Alzheimer's disease (AD) has characteristic neuropathological abnormalities including regionalized neurodegeneration, neurofibrillary tangles, amyloid beta (Aβ) deposition, activation of pro-apoptotic genes, and oxidative stress. As the brain functions continue to disintegrate, there is a decline in person's cognitive abilities, memory, mood, spontaneity, and socializing behavior. A framework that sequentially interlinks all these phenomenons under one event is lacking. Accumulating evidence has indicated the role of insulin deficiency and insulin resistance as mediators of AD neurodegeneration. Herein, we reviewed the evidence stemming from the development of diabetes agent-induced AD animal model. Striking evidence has attributed loss of insulin receptor-bearing neurons to precede or accompany initial stage of AD. This state seems to progress with AD such that, in the terminal stages, it worsens and becomes global. Oxidative stress, tau hyperphosphorylation, APP-Aβ deposition, and impaired glucose and energy metabolism have all been linked to perturbation in insulin/IGF signaling. We conclude that AD could be referred to as "type 3 diabetes". Moreover, owing to common pathophysiology with diabetes common therapeutic regime could be effective for AD patients.

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Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 18%
Student > Master 18 13%
Student > Ph. D. Student 16 11%
Other 12 8%
Researcher 11 8%
Other 21 15%
Unknown 38 27%
Readers by discipline Count As %
Medicine and Dentistry 30 21%
Neuroscience 19 13%
Biochemistry, Genetics and Molecular Biology 15 11%
Psychology 9 6%
Agricultural and Biological Sciences 9 6%
Other 15 11%
Unknown 45 32%