The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging
Open Access
- 25 May 2020
- journal article
- review article
- Published by Frontiers Media SA in Frontiers in Aging Neuroscience
- Vol. 12, 136
- https://doi.org/10.3389/fnagi.2020.00136
Abstract
Biological aging is a complex process involving multiple biological processes. These can be understood theoretically though considering them as individual networks – e.g. epigenetic networks, cell-cell networks (such as astro-glial networks) and population genetics. Mathematical modelling allows the combination of such networks so that they may be studied in unison, to better understand how the so called “seven pillars of aging” combine and to generate hypothesis for treating aging as a condition at relatively early biological ages. In this review, we consider how recent progression in mathematical modelling can be utilised to investigate aging, particular in, but not exclusive to, the context of degenerative neuronal disease. We also consider how the latest techniques for generating biomarker models for disease prediction, such as longitudinal analysis and parenclitic analysis can be applied to as both biomarker platforms for aging, as well as to better understand the inescapable condition. This review is written by a highly diverse and multi-disciplinary team of scientists from across the globe and calls for greater collaboration between diverse fields of research.Funding Information
- Medical Research Council (MR/R02524X/1)
This publication has 131 references indexed in Scilit:
- The Hallmarks of AgingCell, 2013
- Computational modeling of the effects of amyloid-beta on release probability at hippocampal synapsesFrontiers in Computational Neuroscience, 2013
- DNA methylation age of human tissues and cell typesGenome Biology, 2013
- Computational models of neuron-astrocyte interaction in epilepsyFrontiers in Computational Neuroscience, 2012
- Progressive effect of beta amyloid peptides accumulation on CA1 pyramidal neurons: a model study suggesting possible treatmentsFrontiers in Computational Neuroscience, 2012
- Cortical state and attentionNature Reviews Neuroscience, 2011
- Abnormal excitability of oblique dendrites implicated in early Alzheimer's: a computational studyFrontiers in Neural Circuits, 2010
- Rethinking how DNA methylation patterns are maintainedNature Reviews Genetics, 2009
- The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced?NeuroImage, 2009
- The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: II. Network and glial dynamicsJournal of Computational Neuroscience, 2008