CC BY 4.0 · AIMS Genet 2016; 03(01): 025-048
DOI: 10.3934/genet.2016.1.25
Review

Towards defining the Mechanisms of Alzheimer's disease based on a contextual analysis of molecular pathways

Joanna L. Richens
1   Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
,
Jonathan P. Bramble
1   Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
,
Hannah L. Spencer
1   Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
,
Fiona Cantlay
1   Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
,
Molly Butler
1   Cell Biophysics Group, School of Life Sciences, University of Nottingham, University Park, Nottingham, United Kingdom
,
Paul O'Shea
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
› Author Affiliations

Abstract

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.



Publication History

Received: 15 January 2016

Accepted: 17 March 2016

Article published online:
10 May 2021

© 2016. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany