Imperial College London
Portrait Picture

Professor Reiko J. Tanaka

Faculty of Engineering, Department of Bioengineering

Professor of Computational Systems Biology & Medicine
 
 
 
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Contact

 

+44 (0)20 7594 6374r.tanaka Website

 
 
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Location

 

RSM 3.10Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Tanaka:2018:10.1016/j.jtbi.2018.04.002,
author = {Tanaka, G and Dominguez-Huttinger, E and Christodoulides, P and Kazuyuki, A and Tanaka, RJ},
doi = {10.1016/j.jtbi.2018.04.002},
journal = {Journal of Theoretical Biology},
pages = {66--79},
title = {Bifurcation analysis of a mathematical model of atopic dermatitis to determine patient-specific effects of treatments on dynamic phenotypes},
url = {http://dx.doi.org/10.1016/j.jtbi.2018.04.002},
volume = {448},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Atopic dermatitis (AD) is a common inflammatory skin disease, whose incidence is currently increasing worldwide. AD has a complex etiology, involving genetic, environmental, immunological, and epidermal factors, andits pathogenic mechanisms have not yet been fully elucidated. Identificationof AD risk factors and systematic understanding of their interactions arerequired for exploring effective prevention and treatment strategies for AD.We recently developed a mathematical model for AD pathogenesis to clarifymechanisms underlying AD onset and progression. This model describes adynamic interplay between skin barrier, immune regulation, and environmental stress, and reproduced four types of dynamic behaviour typically observed in AD patients in response to environmental triggers. Here, we analyse bifurcations of the model to identify mathematical conditions for the system to demonstrate transitions between different types of dynamic behaviour that reflect respective severity of AD symptoms. By mathematically modelling effects of topical application of antibiotics, emollients, corticosteroids, and their combinations with different application schedules and doses, bifurcation analysis allows us to mathematically evaluate effects of the treatments on improving AD symptoms in terms of the patients' dynamic behaviour. The mathematical method developed in this study can be used to explore and improve patient-specific personalised treatment strategies to control AD symptoms.
AU  - Tanaka,G
AU  - Dominguez-Huttinger,E
AU  - Christodoulides,P
AU  - Kazuyuki,A
AU  - Tanaka,RJ
DO  - 10.1016/j.jtbi.2018.04.002
EP  - 79
PY  - 2018///
SN  - 0022-5193
SP  - 66
TI  - Bifurcation analysis of a mathematical model of atopic dermatitis to determine patient-specific effects of treatments on dynamic phenotypes
T2  - Journal of Theoretical Biology
UR  - http://dx.doi.org/10.1016/j.jtbi.2018.04.002
UR  - http://hdl.handle.net/10044/1/58839
VL  - 448
ER  -
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