Regulatory mechanisms in biological systems in response to compound environmental changes

Lead Research Organisation: Imperial College London
Department Name: Bioengineering

Abstract

All actions in biological systems are controlled by extensive regulatory networks within and across different levels, such as cellular, physiological, and individual levels. In this sense, control is the manifestation of any life activity, and its revelation is the key to understanding the mystery of life . Here, control is considered to be a physical-components-based mechanism used by biological organisms to attain their objectives. The ultimate aim of the proposed research is to establish a theory for biological control, to (re)capture the various phenomena in biological systems from the viewpoint of control, and to reveal the design principles that are common to biological control systems across different levels and different species.Although control has been an essential theme in the field of life sciences for a long time, research on control in life sciences has been developed independently at different levels: homeostasis at the physiological level, cybernetics at the species level, and regulatory biology and more recently systems biology at the cellular level. However, the fact that complex biological regulatory mechanisms have developed through evolution from primitive single-cell organisms with strictly constrained cellular resources suggests that the essential components of regulatory mechanisms might have common features across different levels. I believe that it is thus natural to search for a unified theory of biological control that can provide a viewpoint that will improve our essential understanding of biological regulations in the new era of life sciences. Such a theory is not only crucial in academia but also necessary for accurate assessment and effective treatment of dynamically changing disease states. It should provide essential information for practical clinical treatment towards next-generation healthcare.One of the salient features of biological control systems, compared to man-made ones, is their ability to change their structures and/or functions to match the situation. This plasticity enables biological organisms to adapt to almost any environmental change and to take appropriate actions. Plasticity appears, depending on the time scale, as evolution, differentiation, or learning. Whereas man-made systems use specific regulatory mechanisms corresponding to the environmental change, biological systems, with their limited resources, have to exhibit a broad range of flexible actions with one regulatory mechanism in response to a wide variety of environmental changes. The proposed research focuses on this characteristic and aims to reveal the essential elements of biological control across different levels that attain such plasticity by developing a mathematical theory that can explain the underlying mechanisms of biological control. In particular, I will pursue the underlying regulatory mechanisms from the viewpoint of compound control, the basic idea of which is that complex biological regulations result from spatial and temporal combinations of simple homogeneous computational media, such as interactions among different molecules for cellular control and neuron firings for cerebral control, corresponding to various compound environmental changes. I will focus on the development of a theoretical basis for biological control at the cellular level first and then that in immune systems, which use both cellular- and physiological-level controls. The basic studies at the cellular level on genetic and metabolic systems, together with applied studies on immune systems, both based on the idea of compound control, should reveal the essential design principles of biological control systems.

Publications

10 25 50
 
Description We developed mathematical models and framework to understand the mechanisms of different inflammatory and infectious disease, including atopic dermatitis, fungal infection and bacterial infection.
Exploitation Route Our in silico modelling approach opened up a new area of systems dermatology and developed the fungal research. We are developing GUI to suggest optimal treatment strategies for atopic dermatitis, based on our mathematical models.
Sectors Healthcare

URL http://www.bg.ic.ac.uk/research/r.tanaka/index.html#ourresearch
 
Description Our findings advanced in understanding disease mechanisms (eczema, fungal and bacterial infection) from control-theoretical viewpoint. Strong engagements and interests from Clinicians and Industries indicate the potential of our findings for future translational research. Our research was disseminated through the monthly magazine of National Eczema Society, the website of American Academy Of Allergy, Asthma & Immunology.
First Year Of Impact 2017
Sector Education,Healthcare
Impact Types Societal

 
Description BBSRC Impact Acceleration Funding
Amount £14,909 (GBP)
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 11/2015 
End 06/2016
 
Description British Skin Foundation Small Grant Awards
Amount £9,980 (GBP)
Funding ID 021/SG/17 
Organisation British Skin Foundation 
Sector Charity/Non Profit
Country United Kingdom
Start 10/2017 
End 09/2018
 
Description EPSRC Impact Acceleration Account - Pathways to Impact
Amount £16,806 (GBP)
Organisation Imperial College London 
Sector Academic/University
Country United Kingdom
Start 04/2018 
End 09/2018
 
Description EPSRC Impact Award
Amount £21,476 (GBP)
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 10/2016 
End 03/2017
 
Description Early prevention of progression of pre-school wheezing to school-age asthma by an integrated in silico, in vitro and in vivo approach
Amount £199,993 (GBP)
Organisation Action Medical Research 
Sector Charity/Non Profit
Country United Kingdom
Start 05/2021 
End 04/2023
 
Description Forecasting atopic dermatitis disease activity using model-based machine learning
Amount £8,082,280 (GBP)
Funding ID 005/R/18 
Organisation British Skin Foundation 
Sector Charity/Non Profit
Country United Kingdom
Start 10/2019 
End 09/2021
 
Description J&J PhD studentship
Amount £75,000 (GGP)
Organisation Johnson & Johnson 
Sector Private
Country United States
Start 10/2012 
End 01/2016
 
Description PhD studentship
Amount £90,000 (GBP)
Funding ID NC/P00217X/1 
Organisation National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs) 
Sector Public
Country United Kingdom
Start 10/2017 
End 09/2020
 
Description RIKEN PhD studentship
Amount £85,000 (GBP)
Organisation RIKEN 
Sector Public
Country Japan
Start 01/2014 
End 12/2017
 
Description Research grant
Amount 9,980,000 kr. (DKK)
Funding ID LF16028 
Organisation LEO Foundation 
Sector Charity/Non Profit
Country Denmark
Start 01/2017 
End 12/2019
 
Title Control-theoretical framework for fly gaze stabilization control 
Description We proposed a control-theoretical framework to understand how flies regulate the gaze. 
Type Of Material Model of mechanisms or symptoms - non-mammalian in vivo 
Year Produced 2010 
Provided To Others? Yes  
Impact This model allowed us to quantitatively analyze the fly gaze control mechanisms, that will be useful to design biomimetic control systems. 
 
Title Mathematical method to visualize the depth-dependent skin barrier profiles and barrier deficiencies 
Description The method calculates the resistance of stratum cornuem (SC) to water diffusion along the SC depth, and thereby quantifies and visualises the depth-dependent barrier function, through integration of data of TEWL (Trans Epidermal Water Loss) and water concentration profiles measured by confocal Raman microspectroscopy. The method, for example, allows to quantify the subclinical damage in AD (atopic dermatitis) non-lesional skin and visualise by a depth-dependent barrier resistance profile. 
Type Of Material Model of mechanisms or symptoms - human 
Year Produced 2015 
Provided To Others? Yes  
Impact To be evaluated. 
 
Title Mathematical model of Aspergillus infection 
Description This first mathematical model to understand the mechanism of aspergillus infection can predict the dynamics of fungal burden controlled by immune reactions. 
Type Of Material Model of mechanisms or symptoms - human 
Year Produced 2012 
Provided To Others? Yes  
Impact The model allows us to investigate low-dose infection, which is difficult to be investigated in mice models. It will therefore reduce/replace animal experiments. This model also enhanced more quantitative understanding required for drug discovery. 
 
Title Mathematical model of S. Pneumoniae infection 
Description This ODE-based model describes the control mechanisms for S. Pneumoniae infection, especially the control mechanisms for epithelial barrier in the upper airway. 
Type Of Material Model of mechanisms or symptoms - mammalian in vivo 
Year Produced 2013 
Provided To Others? Yes  
Impact This model replaces the animal experiments. 
URL http://journal.frontiersin.org/article/10.3389/fphys.2017.00115/full
 
Title Mathematical model to understand mechanisms of atopic dermatitis 
Description ODE-based model to describe the cellular- and tissue-level reactions that regulate skin barrier homeostasis and inflammation. 
Type Of Material Model of mechanisms or symptoms - human 
Year Produced 2011 
Provided To Others? Yes  
Impact This first mathematical model has been widely appreciated by dermatologists and provides a framework to understand previous clinical and biological data. More and more quantitative data are being measured. 
 
Title AD model 
Description Mathematical model that describes the main mechanisms for onset of atopic dermatitis. 
Type Of Material Computer model/algorithm 
Year Produced 2011 
Provided To Others? Yes  
Impact This model encourages quantitative and systems-level investigation for atopic dermatitis and its treatments. 
URL http://www.jacionline.org/article/S0091-6749(16)31433-6/fulltext
 
Title Bacteria model 
Description A mathematical model to investigate the role of epithelium barrier in bacterial infection in the upper airway. 
Type Of Material Computer model/algorithm 
Year Produced 2013 
Provided To Others? Yes  
Impact It reduces the number of animal experiments. 
URL http://journal.frontiersin.org/article/10.3389/fphys.2017.00115/full
 
Title Fungal model 
Description A mathematical model that describes the host-pathogen interactions for A. fumigatus. 
Type Of Material Computer model/algorithm 
Year Produced 2012 
Provided To Others? Yes  
Impact It had a big impact to reduce/replace animal experiments. 
URL http://www.nature.com/articles/srep13958
 
Title Plant stress response model 
Description RD29A transcription model for Arabidopsis thaliana 
Type Of Material Computer model/algorithm 
Year Produced 2016 
Provided To Others? Yes  
Impact This model will help to investigate the synergistic effects of activation of RD29A via integration of salinity stress and abscisic acid in Arabidopsis thaliana 
URL https://academic.oup.com/pcp/article/57/10/2147/2755877/Synergistic-Activation-of-RD29A-Via-Integrat...
 
Description Mathematical modelling of regulatory mechanisms for skin barrier homeostasis 
Organisation RIKEN
Country Japan 
Sector Public 
PI Contribution We develop the mathematical model to understand the onset and progression of atopic dermatitis.
Collaborator Contribution RIKEN IMS team developed transgenic mice which demonstrate symptoms of atopic dermatitis. They further conducted experiments using the developed AD mice and provided us the data needed for development of the mathematical model.
Impact Publication in preparation.
Start Year 2014
 
Description Systems biology of Atopic dermatitis 
Organisation Our Lady's Children's Hospital
Department National Children's Research Centre
Country Ireland 
Sector Academic/University 
PI Contribution We analyze the clinical data provided by our partner and use the results for development of mathematical model of atopic dermatitis.
Collaborator Contribution The partner collect the data from patients.
Impact Domínguez-Hüttinger E, Christodoulides P, Miyauchi K, Irvine AD, Okada-Hatakeyama M, Kubo M, Tanaka RJ, 2016, Mathematical modeling of atopic dermatitis reveals "double-switch" mechanisms underlying 4 common disease phenotypes., J Allergy Clin Immunol Latest Research Summaries for American Academy of Allergy Asthma and Immunology https://www.aaaai.org/global/latest-research-summaries/Current-JACI-Research/diagnosis-skin-allergy National Eczema Society magazine, March 2017, Mathematical modelling for better diagnosis and treatment of eczema Multi-disciplinary: Engineering, Dermatology
Start Year 2012
 
Description Water control of skin 
Organisation Johnson & Johnson
Country United States 
Sector Private 
PI Contribution We are developing mathematical models to understand the regulatory mechanisms of water control in skin.
Collaborator Contribution Scientific discussion at regular meetings; Data gathering.
Impact Multi-disciplinary: Control theory, computational biology, skin biology.
Start Year 2011
 
Description Latest research (AAAAI) 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Latest research summaries described on the webpage of American Academy of Allergy Asthma & Immunology
Year(s) Of Engagement Activity 2016
URL https://www.aaaai.org/global/latest-research-summaries/Current-JACI-Research/diagnosis-skin-allergy
 
Description National Eczema Society magazine 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Patients, carers and/or patient groups
Results and Impact We wrote an article for the magazine published and distributed every month by the National Eczema Society. The article aimed to explain how our mathematical modelling approach could help eczema patients.
Year(s) Of Engagement Activity 2017
URL http://www.eczema.org/departments/10
 
Description Press release (Imperial news) 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact This article introduces the main results and impact of our published paper on new mathematical models of eczema pathogenesis.
Year(s) Of Engagement Activity 2016
URL http://www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/newssummary/news_24-11-2016-15-14-54
 
Description School Visit (Lycee) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact We visited a primary school in Parsons Green to run a workshop, where 60 pupils tried a scientific game we developed, based on our research in understanding the regulatory mechanisms of atopic dermatitis. We also gave presentations about the science behind the atopic dermatitis.
Year(s) Of Engagement Activity 2016
 
Description School Visit (Wimbledon) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Schools
Results and Impact We visited a primary school in Wimbledon to run a workshop, where 60 pupils tried a scientific game we developed, based on our research in understanding the regulatory mechanisms of atopic dermatitis. We also gave presentations about the science behind the atopic dermatitis.
Year(s) Of Engagement Activity 2016