Literature DB >> 26703952

Unraveling the mechanistic complexity of Alzheimer's disease through systems biology.

Jennifer L Rollo1, Nahid Banihashemi2, Fatemeh Vafaee3, John W Crawford4, Zdenka Kuncic5, R M Damian Holsinger6.   

Abstract

Alzheimer's disease (AD) is a complex, multifactorial disease that has reached global epidemic proportions. The challenge remains to fully identify its underlying molecular mechanisms that will enable development of accurate diagnostic tools and therapeutics. Conventional experimental approaches that target individual or small sets of genes or proteins may overlook important parts of the regulatory network, which limits the opportunity of identifying multitarget interventions. Our perspective is that a more complete insight into potential treatment options for AD will only be made possible through studying the disease as a system. We propose an integrative systems biology approach that we argue has been largely untapped in AD research. We present key publications to demonstrate the value of this approach and discuss the potential to intensify research efforts in AD through transdisciplinary collaboration. We highlight challenges and opportunities for significant breakthroughs that could be made if a systems biology approach is fully exploited.
Copyright © 2016 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Complex systems; Computational modeling; Holistic; Integrative; Risk genes; Transdisciplinary research

Mesh:

Year:  2015        PMID: 26703952     DOI: 10.1016/j.jalz.2015.10.010

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  9 in total

1.  Presenilin 1 mutations influence processing and trafficking of the ApoE receptor apoER2.

Authors:  Wei Wang; Andrea M Moerman-Herzog; Arthur Slaton; Steven W Barger
Journal:  Neurobiol Aging       Date:  2016-10-11       Impact factor: 4.673

2.  PRECISION MEDICINE - The Golden Gate for Detection, Treatment and Prevention of Alzheimer's Disease.

Authors:  H Hampel; S E O'Bryant; J I Castrillo; C Ritchie; K Rojkova; K Broich; N Benda; R Nisticò; R A Frank; B Dubois; V Escott-Price; S Lista
Journal:  J Prev Alzheimers Dis       Date:  2016-09-06

3.  Untargeted metabolomics reveal dysregulations in sugar, methionine, and tyrosine pathways in the prodromal state of AD.

Authors:  Ihab Hajjar; Chang Liu; Dean P Jones; Karan Uppal
Journal:  Alzheimers Dement (Amst)       Date:  2020-08-11

4.  Towards precision medicine in Alzheimer's disease: deciphering genetic data to establish informative biomarkers.

Authors:  Ornit Chiba-Falek; Michael W Lutz
Journal:  Expert Rev Precis Med Drug Dev       Date:  2017-02-01

5.  A hybrid computational approach for efficient Alzheimer's disease classification based on heterogeneous data.

Authors:  Xuemei Ding; Magda Bucholc; Haiying Wang; David H Glass; Hui Wang; Dave H Clarke; Anthony John Bjourson; Le Roy C Dowey; Maurice O'Kane; Girijesh Prasad; Liam Maguire; KongFatt Wong-Lin
Journal:  Sci Rep       Date:  2018-06-27       Impact factor: 4.379

6.  Mapping the multicausality of Alzheimer's disease through group model building.

Authors:  Jeroen F Uleman; René J F Melis; Rick Quax; Eddy A van der Zee; Dick Thijssen; Martin Dresler; Ondine van de Rest; Isabelle F van der Velpen; Hieab H H Adams; Ben Schmand; Inge M C M de Kok; Jeroen de Bresser; Edo Richard; Marcel Verbeek; Alfons G Hoekstra; Etiënne A J A Rouwette; Marcel G M Olde Rikkert
Journal:  Geroscience       Date:  2020-08-11       Impact factor: 7.713

7.  Identification of Multi-Target Anti-AD Chemical Constituents From Traditional Chinese Medicine Formulae by Integrating Virtual Screening and In Vitro Validation.

Authors:  Baoyue Zhang; Jun Zhao; Zhe Wang; Pengfei Guo; Ailin Liu; Guanhua Du
Journal:  Front Pharmacol       Date:  2021-07-16       Impact factor: 5.810

8.  Staging Alzheimer's Disease Risk by Sequencing Brain Function and Structure, Cerebrospinal Fluid, and Cognition Biomarkers.

Authors:  Guangyu Chen; Hao Shu; Gang Chen; B Douglas Ward; Piero G Antuono; Zhijun Zhang; Shi-Jiang Li
Journal:  J Alzheimers Dis       Date:  2016-10-04       Impact factor: 4.472

9.  Sex Differences in Cognitive Decline in Subjects with High Likelihood of Mild Cognitive Impairment due to Alzheimer's disease.

Authors:  Dongwha Sohn; Katie Shpanskaya; Joseph E Lucas; Jeffrey R Petrella; Andrew J Saykin; Rudolph E Tanzi; Nagiza F Samatova; P Murali Doraiswamy
Journal:  Sci Rep       Date:  2018-05-10       Impact factor: 4.379

  9 in total

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