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Personalised Medicine

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Attention for Chapter 11: Personalized Medicine and Resurrected Hopes for the Management of Alzheimer’s Disease: A Modular Approach Based on GSK-3β Inhibitors
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Chapter title
Personalized Medicine and Resurrected Hopes for the Management of Alzheimer’s Disease: A Modular Approach Based on GSK-3β Inhibitors
Chapter number 11
Book title
Personalised Medicine
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-60733-7_11
Pubmed ID
Book ISBNs
978-3-31-960731-3, 978-3-31-960733-7
Authors

Reem K. Arafa, Nehal H. Elghazawy

Abstract

Alzheimer's disease (AD) is one of the most common neurological disorders with vast reaching worldwide prevalence. Research attempts to decipher what's happening to the human mind have shown that pathogenesis of AD is associated with misfolded protein intermediates displaying tertiary structure conformational changes eventually leading to forming large polymers of unwanted aggregates. The two hallmarks of AD pathological protein aggregates are extraneuronal β-amyloid (Aβ) based senile plaques and intraneuronal neurofibrillary tangles (NFTs). As such, AD is categorized as a protein misfolding neurodegenerative disease (PMND) . Therapeutic interventions interfering with the formation of these protein aggregates have been widely explored as potential pathways for thwarting AD progression. One such tactic is modulating the function of enzymes involved in the metabolic pathways leading to formation of these misfolded protein aggregates. Much evidence has shown that glycogen synthase kinase-3β (GSK-3β) plays a key role in hyperphosphorylation of tau protein leading eventually to its aggregation to form NFTs. Data presented hereby will display a plethora of information as to how to interfere with progression of AD through the route of GSK-3β activity control.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 22%
Researcher 7 22%
Student > Doctoral Student 4 13%
Other 3 9%
Student > Master 3 9%
Other 7 22%
Unknown 1 3%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 28%
Neuroscience 5 16%
Medicine and Dentistry 5 16%
Agricultural and Biological Sciences 3 9%
Psychology 2 6%
Other 2 6%
Unknown 6 19%