Welcome to International Network for Natural Sciences

Paper Details

Research Paper | March 5, 2022

VIEWS 1
| Download

Logical modeling and steady state analysis of serotonin signaling pathway

Pratichi Singh, J. Febin Prabhu Dass

Key Words:


Int. J. Biosci.10(4), 27-40, April 2017

DOI: http://dx.doi.org/10.12692/ijb/20.2.1-20

Certification: IJB 2017 [Generate Certificate]

Abstract

Brain serotonin seems to have distinctive actions contributing to impulsive behavior and anxiety. Patients with evidence of low serotonin levels show mild to moderate depression, which can lead to symptoms like anxiety, apathy, fear, feelings of worthlessness, insomnia and fatigue. The signaling pathway responsible for the action of serotonin was drawn using pathway modeling methods from the literature. It was then used as an input in Cell Net Analyzer (CNA) for logical analysis. CNA is a graphical user interface for MATLAB, providing a comprehensive toolbox for structural and functional analysis of different types of cellular networks. CNA has been programmed with the MATLAB language enabling to use inbuilt functions of MATLAB. The pathway was scrutinized using the various tools in CNA and the results obtained were compared with the results published in previous reports. The various analyses include interaction matrix, dependencies of various species on each other, logical steady state analysis. As a result, a major compound responsible for mood enhancement was identified as cAMP-response element-binding protein (CREB), a transcription factor that activates brain derived neurotropic factor (BDNF) genes responsible for the propagation of neurons.

VIEWS 1

Copyright © 2021
By Authors and International Network for
Natural Sciences (INNSPUB)
http://innspub.net
This article is published under the terms of the Creative
Commons Attribution Liscense 4.0

Logical modeling and steady state analysis of serotonin signaling pathway

Batarseh A, Giatzakis C, Papadopoulos V. 2008. Phorbol-12-myristate 13-Acetate Acting through Protein Kinase Cε Induces Translocator Protein (18-kDa) Tspo Gene Expression. Biochemistry 47(48), 12886-12899. http://dx.doi.org/10.1021/bi8012643

Bliss TV, Collingridge GL. 1993. A synaptic model of memory: long-term potentiation in the hippocampus. Nature 361(6407), 31-39. http://dx.doi.org/10.1038/361031a0

Dayan P, Huys QJ. 2009. Serotonin in affective control. Neuroscience 32(1), 95. http://dx.doi.org/10.1146/annurev.neuro.051508.135607

Dowlatshahi D, MacQueen GM, Wang JF, Reiach JS, Young LT. 1999. G Protein‐Coupled Cyclic AMP Signaling in Postmortem Brain of Subjects with Mood Disorders. Journal of neurochemistry 73(3), 1121-1126. http://dx.doi.org/10.1046/j.14714159.1999.0731121.x

Gunaratna PC, Cadle KK, Kissinger CB. 2006. An improved liquid chromatographic method with electrochemical detection for direct determination of serotonin in microdialysates from Caudate-putamen and pineal gland regions of rat brain. Journal of neuroscience methods 155(1), 143-148. http://dx.doi.org/10.1016/j.jneumeth.2006.01.023

Hare EE, Loer C. 2004. Function and evolution of the serotonin-synthetic bas-1 gene and other aromatic amino acid decarboxylase genes in Caenorhabditis. BMC evolutionary biology 4(1), p.1. http://dx.doi.org/10.1186/1471-2148-4-24

Karege F, Perret G, Bondolfi G, Schwald M, Bertschy G, Aubry JM. 2002. Decreased serum brain-derived neurotrophic factor levels in major depressed patients. Psychiatry research 109(2), 143-148. http://dx.doi.org/10.1016/S0165-1781(02)00005-7

Klamt S, Saez-Rodriguez J, Gilles ED. 2007. Structural and functional analysis of cellular networks with CellNetAnalyzer. BMC systems biology 1(1), p.1. http://dx.doi.org/10.1186/1752-0509-1-2

Lesch KP. 2001. Serotonergic gene expression and depression: implications for developing novel antidepressants. Journal of affective disorders 62(1), 57-76. http://dx.doi.org/10.1016/S0165-0327(00)00351-7

Martinowich K, Lu B. 2008. Interaction between BDNF and serotonin: role in mood disorders. Neuropsychopharmacology 33(1), 73-83. http://dx.doi.org/10.1038/sj.npp.1301571

Nathan PE, Gorman JM. 2015. A guide to treatments that work. Oxford University Press.

Pazos A, Cortes R, Palacios JM. 1985. Quantitative autoradiographic mapping of serotonin receptors in the rat brain. II. Serotonin-2 receptors. Brain research 346(2), 231-249. http://dx.doi.org/10.1016/0006-8993(85)90857-1

Pithadia AB, Jain SM. 2009. 5-Hydroxytryptamine receptor subtypes and their modulators with therapeutic potentials. Journal of clinical medicine research 1(2), p.72. http://dx.doi.org/10.4021/jocmr2009.05.1237

Singh K. 2016. Nutrient and Stress Management. J Nutr Food Sci 6(528), p.2. http://dx.doi.org/10.4172/2155-9600.1000528.

Wurtman RJ, Wurtman JJ. 1995. Brain serotonin, carbohydrate‐craving, obesity and depression. Obesity Research 3(S4), 477S-480S. http://dx.doi.org/10.1002/j.15508528.1995.tb00215.x

SUBMIT MANUSCRIPT

Style Switcher

Select Layout
Chose Color
Chose Pattren
Chose Background