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AIMS Genetics

2016, Volume 3, Issue 1: 25-48. doi: 10.3934/genet.2016.1.25
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Towards defining the Mechanisms of Alzheimer’s disease based on a contextual analysis of molecular pathways

  • 1.
    Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
  • 2.
    Address as of 1st July 2016: Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada
  • Received: 15 January 2016 Accepted: 17 March 2016 Published: 21 March 2016

  • Alzheimer’s disease (AD) is posing an increasingly profound problem to society. Our genuine understanding of the pathogenesis of AD is inadequate and as a consequence, diagnostic and therapeutic strategies are currently insufficient. The understandable focus of many studies is the identification of molecules with high diagnostic utility however the opportunity to obtain a further understanding of the mechanistic origins of the disease from such putative biomarkers is often overlooked. This study examines the involvement of biomarkers in AD to shed light on potential mechanisms and pathways through which they are implicated in the pathology of this devastating neurodegenerative disorder. The computational tools required to analyse ever-growing datasets in the context of AD are also discussed.

    Citation: Joanna L. Richens, Jonathan P. Bramble, Hannah L. Spencer, Fiona Cantlay, Molly Butler, Paul O’Shea. Towards defining the Mechanisms of Alzheimer’s disease based on a contextual analysis of molecular pathways[J]. AIMS Genetics, 2016, 3(1): 25-48. doi: 10.3934/genet.2016.1.25

    Related Papers:

  • Alzheimer’s disease (AD) is posing an increasingly profound problem to society. Our genuine understanding of the pathogenesis of AD is inadequate and as a consequence, diagnostic and therapeutic strategies are currently insufficient. The understandable focus of many studies is the identification of molecules with high diagnostic utility however the opportunity to obtain a further understanding of the mechanistic origins of the disease from such putative biomarkers is often overlooked. This study examines the involvement of biomarkers in AD to shed light on potential mechanisms and pathways through which they are implicated in the pathology of this devastating neurodegenerative disorder. The computational tools required to analyse ever-growing datasets in the context of AD are also discussed.


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