Literature DB >> 30575545

Feed-Forward and Feedback Control in Astrocytes for Ca 2+-Based Molecular Communications Nanonetworks.

Michael Taynnan Barros, Subhrakanti Dey.   

Abstract

Synaptic plasticity depends on the gliotransmitters' concentration in the synaptic channel. And, an abnormal concentration of gliotransmitters is linked to neurodegenerative diseases, including Alzheimer's, Parkinson's, and epilepsy. In this paper, a theoretical investigation of the cause of the abnormal concentration of gliotransmitters and how to achieve its control is presented through a Ca 2+-signalling-based molecular communications framework. A feed-forward and feedback control technique is used to manipulate IP 3 values to stabilize the concentration of Ca 2+ inside the astrocytes. The theoretical analysis of the given model aims i) to stabilize the Ca 2+ concentration around a particular desired level in order to prevent abnormal gliotransmitters' concentration (extremely high or low concentration can result in neurodegeneration), ii) to improve the molecular communication performance that utilizes Ca 2+ signalling, and maintain gliotransmitters' regulation remotely. It shows that the refractory periods from Ca 2+ can be maintained to lower the noise propagation resulting in smaller time-slots for bit transmission, which can also improve the delay and gain performances. The proposed approach can potentially lead to novel nanomedicine solutions for the treatment of neurodegenerative diseases, where a combination of nanotechnology and gene therapy approaches can be used to elicit the regulated Ca 2+ signalling in astrocytes, ultimately improving neuronal activity.

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Year:  2018        PMID: 30575545     DOI: 10.1109/TCBB.2018.2887222

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  3 in total

1.  Spatiotemporal model of tripartite synapse with perinodal astrocytic process.

Authors:  Jhunlyn Lorenzo; Roman Vuillaume; Stéphane Binczak; Sabir Jacquir
Journal:  J Comput Neurosci       Date:  2019-12-03       Impact factor: 1.621

2.  Engineering calcium signaling of astrocytes for neural-molecular computing logic gates.

Authors:  Michael Taynnan Barros; Phuong Doan; Meenakshisundaram Kandhavelu; Brendan Jennings; Sasitharan Balasubramaniam
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

3.  Objective Supervised Machine Learning-Based Classification and Inference of Biological Neuronal Networks.

Authors:  Michael Taynnan Barros; Harun Siljak; Peter Mullen; Constantinos Papadias; Jari Hyttinen; Nicola Marchetti
Journal:  Molecules       Date:  2022-09-23       Impact factor: 4.927

  3 in total

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