Alzheimer’s Disease under the Purview of Graph Theory Centric Genetic Networks

Authors

  • Yegnanarayanan Venkatraman Member, Board of Advisors, RNB Global University, Bikaner, Rajasthan - 334601, India
  • Krithicaa Narayanaa Y Department of Biomedical Sciences, Sri Ramachandra Institute for Higher Education and Research (Deemed to be University), Chennai, Tamil Nadu - 600116, India.
  • Valentina E. Balas Aurel Vlaicu University of Arad, Faculty of Engineering
  • Marius M Balas Aurel Vlaicu University of Arad, Faculty of Engineering

DOI:

https://doi.org/10.18662/brain/12.2/199

Keywords:

Alzheimer’s disease, Cell signalling networks, Genetic networks, Graph Centrality measures, Characteristic path length, Clustering coefficient

Abstract

Notice that the synapsis of brain is a form of communication. As communication demands connectivity, it is not a surprise that "graph theory" is a fastest growing area of research in the life sciences. It attempts to explain the connections and communication between networks of neurons. Alzheimer’s disease (AD) progression in brain is due to a deposition and development of amyloid plaque and the loss of communication between nerve cells. Graph/network theory can provide incredible insights into the incorrect wiring leading to memory loss in a progressive manner. Network in AD is slanted towards investigating the intricate patterns of interconnections found in the pathogenesis of brain. Here, we see how the notions of graph/network theory can be prudently exploited to comprehend the Alzheimer’s disease. We begin with introducing concepts of graph/network theory as a model for specific genetic hubs of the brain regions and cellular signalling. We begin with a brief introduction of prevalence and causes of AD followed by outlining its genetic and signalling pathogenesis. We then present some of the network-applied outcome in assessing the disease-signalling interactions, signal transduction of protein-protein interaction, disturbed genetics and signalling pathways as compelling targets of pathogenesis of the disease.

Author Biographies

Yegnanarayanan Venkatraman, Member, Board of Advisors, RNB Global University, Bikaner, Rajasthan - 334601, India

Yegnanarayanan Venkatraman (b. Nov 3, 1966) received his BSc in Mathematics (1986), MSc in Mathematics (1988), M. Phil in Mathematics (1989), M. Tech in Information Technology (2004), PhD in Mathematics (1997) from Annamalai University of India. Now he is acting as a Member of Board of Advisors of RNB Global University, Rajasthan, India.  He is a senior member of IEEE and a Life Member of various professional organizations. He has served senior Professor, Dean, Director and Research Chair of various Universities in India and his research interests include Graph Theory, Number Theory and their Applications. He has authored 170 research papers and completed funded research projects in India.

Krithicaa Narayanaa Y , Department of Biomedical Sciences, Sri Ramachandra Institute for Higher Education and Research (Deemed to be University), Chennai, Tamil Nadu - 600116, India.

Krithicaa Narayanaa Y (b. Oct 12, 1995) received her B. Tech in Genetic Engineering (2017), M. Tech in Genetic Engineering (2019). Now she is a Ph.D Research Scholar in the Department of Biomedical Sciences, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, India. Her current interests are in Neuro-genetics and Cancer genetics.

Valentina E. Balas, Aurel Vlaicu University of Arad, Faculty of Engineering

Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering,  “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 300 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modelling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE). She is a Senior Member IEEE and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.

Marius M Balas, Aurel Vlaicu University of Arad, Faculty of Engineering

Marius M. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. He holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara.  Dr. Balas is author of several research papers in refereed journals and International Conferences. His research interests are in Artificial Intelligence, Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modelling and Simulation.

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Published

2021-07-19

How to Cite

Venkatraman, Y., Narayanaa Y, K., Balas, V. E., & Balas, M. M. (2021). Alzheimer’s Disease under the Purview of Graph Theory Centric Genetic Networks. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 12(2), 178-201. https://doi.org/10.18662/brain/12.2/199

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