The Onset of Type 2 Diabetes: Proposal for a Multi-Scale Model

BackgroundType 2 diabetes mellitus (T2D) is a common age-related disease, and is a major health concern, particularly in developed countries where the population is aging, including Europe. The multi-scale immune system simulator for the onset of type 2 diabetes (MISSION-T2D)...

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Main Authors: Castiglione, Filippo, Tieri, Paolo, De Graaf, Albert, Franceschi, Claudio, Liò, Pietro, Van Ommen, Ben, Mazzà, Claudia, Tuchel, Alexander, Bernaschi, Massimo, Samson, Clare, Colombo, Teresa, Castellani, Gastone C, Capri, Miriam, Garagnani, Paolo, Salvioli, Stefano, Nguyen, Viet Anh, Bobeldijk-Pastorova, Ivana, Krishnan, Shaji, Cappozzo, Aurelio, Sacchetti, Massimo, Morettini, Micaela, Ernst, Marc
Format: Article
Language:English
Published: JMIR Publications 2013-10-01
Series:JMIR Research Protocols
Online Access:http://www.researchprotocols.org/2013/2/e44/
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spelling doaj-7eefb443db244643aa8ad32729ae4cf42021-05-03T04:35:14ZengJMIR PublicationsJMIR Research Protocols1929-07482013-10-0122e4410.2196/resprot.2854The Onset of Type 2 Diabetes: Proposal for a Multi-Scale ModelCastiglione, FilippoTieri, PaoloDe Graaf, AlbertFranceschi, ClaudioLiò, PietroVan Ommen, BenMazzà, ClaudiaTuchel, AlexanderBernaschi, MassimoSamson, ClareColombo, TeresaCastellani, Gastone CCapri, MiriamGaragnani, PaoloSalvioli, StefanoNguyen, Viet AnhBobeldijk-Pastorova, IvanaKrishnan, ShajiCappozzo, AurelioSacchetti, MassimoMorettini, MicaelaErnst, Marc BackgroundType 2 diabetes mellitus (T2D) is a common age-related disease, and is a major health concern, particularly in developed countries where the population is aging, including Europe. The multi-scale immune system simulator for the onset of type 2 diabetes (MISSION-T2D) is a European Union-funded project that aims to develop and validate an integrated, multilevel, and patient-specific model, incorporating genetic, metabolic, and nutritional data for the simulation and prediction of metabolic and inflammatory processes in the onset and progression of T2D. The project will ultimately provide a tool for diagnosis and clinical decision making that can estimate the risk of developing T2D and predict its progression in response to possible therapies. Recent data showed that T2D and its complications, specifically in the heart, kidney, retina, and feet, should be considered a systemic disease that is sustained by a pervasive, metabolically-driven state of inflammation. Accordingly, there is an urgent need (1) to understand the complex mechanisms underpinning the onset of this disease, and (2) to identify early patient-specific diagnostic parameters and related inflammatory indicators. ObjectiveWe aim to accomplish this mission by setting up a multi-scale model to study the systemic interactions of the biological mechanisms involved in response to a variety of nutritional and metabolic stimuli and stressors. MethodsSpecifically, we will be studying the biological mechanisms of immunological/inflammatory processes, energy intake/expenditure ratio, and cell cycle rate. The overall architecture of the model will exploit an already established immune system simulator as well as several discrete and continuous mathematical methods for modeling of the processes critically involved in the onset and progression of T2D. We aim to validate the predictions of our models using actual biological and clinical data. ResultsThis study was initiated in March 2013 and is expected to be completed by February 2016. ConclusionsMISSION-T2D aims to pave the way for translating validated multilevel immune-metabolic models into the clinical setting of T2D. This approach will eventually generate predictive biomarkers for this disease from the integration of clinical data with metabolic, nutritional, immune/inflammatory, genetic, and gut microbiota profiles. Eventually, it should prove possible to translate these into cost-effective and mobile-based diagnostic tools.http://www.researchprotocols.org/2013/2/e44/
collection DOAJ
language English
format Article
sources DOAJ
author Castiglione, Filippo
Tieri, Paolo
De Graaf, Albert
Franceschi, Claudio
Liò, Pietro
Van Ommen, Ben
Mazzà, Claudia
Tuchel, Alexander
Bernaschi, Massimo
Samson, Clare
Colombo, Teresa
Castellani, Gastone C
Capri, Miriam
Garagnani, Paolo
Salvioli, Stefano
Nguyen, Viet Anh
Bobeldijk-Pastorova, Ivana
Krishnan, Shaji
Cappozzo, Aurelio
Sacchetti, Massimo
Morettini, Micaela
Ernst, Marc
spellingShingle Castiglione, Filippo
Tieri, Paolo
De Graaf, Albert
Franceschi, Claudio
Liò, Pietro
Van Ommen, Ben
Mazzà, Claudia
Tuchel, Alexander
Bernaschi, Massimo
Samson, Clare
Colombo, Teresa
Castellani, Gastone C
Capri, Miriam
Garagnani, Paolo
Salvioli, Stefano
Nguyen, Viet Anh
Bobeldijk-Pastorova, Ivana
Krishnan, Shaji
Cappozzo, Aurelio
Sacchetti, Massimo
Morettini, Micaela
Ernst, Marc
The Onset of Type 2 Diabetes: Proposal for a Multi-Scale Model
JMIR Research Protocols
author_facet Castiglione, Filippo
Tieri, Paolo
De Graaf, Albert
Franceschi, Claudio
Liò, Pietro
Van Ommen, Ben
Mazzà, Claudia
Tuchel, Alexander
Bernaschi, Massimo
Samson, Clare
Colombo, Teresa
Castellani, Gastone C
Capri, Miriam
Garagnani, Paolo
Salvioli, Stefano
Nguyen, Viet Anh
Bobeldijk-Pastorova, Ivana
Krishnan, Shaji
Cappozzo, Aurelio
Sacchetti, Massimo
Morettini, Micaela
Ernst, Marc
author_sort Castiglione, Filippo
title The Onset of Type 2 Diabetes: Proposal for a Multi-Scale Model
title_short The Onset of Type 2 Diabetes: Proposal for a Multi-Scale Model
title_full The Onset of Type 2 Diabetes: Proposal for a Multi-Scale Model
title_fullStr The Onset of Type 2 Diabetes: Proposal for a Multi-Scale Model
title_full_unstemmed The Onset of Type 2 Diabetes: Proposal for a Multi-Scale Model
title_sort onset of type 2 diabetes: proposal for a multi-scale model
publisher JMIR Publications
series JMIR Research Protocols
issn 1929-0748
publishDate 2013-10-01
description BackgroundType 2 diabetes mellitus (T2D) is a common age-related disease, and is a major health concern, particularly in developed countries where the population is aging, including Europe. The multi-scale immune system simulator for the onset of type 2 diabetes (MISSION-T2D) is a European Union-funded project that aims to develop and validate an integrated, multilevel, and patient-specific model, incorporating genetic, metabolic, and nutritional data for the simulation and prediction of metabolic and inflammatory processes in the onset and progression of T2D. The project will ultimately provide a tool for diagnosis and clinical decision making that can estimate the risk of developing T2D and predict its progression in response to possible therapies. Recent data showed that T2D and its complications, specifically in the heart, kidney, retina, and feet, should be considered a systemic disease that is sustained by a pervasive, metabolically-driven state of inflammation. Accordingly, there is an urgent need (1) to understand the complex mechanisms underpinning the onset of this disease, and (2) to identify early patient-specific diagnostic parameters and related inflammatory indicators. ObjectiveWe aim to accomplish this mission by setting up a multi-scale model to study the systemic interactions of the biological mechanisms involved in response to a variety of nutritional and metabolic stimuli and stressors. MethodsSpecifically, we will be studying the biological mechanisms of immunological/inflammatory processes, energy intake/expenditure ratio, and cell cycle rate. The overall architecture of the model will exploit an already established immune system simulator as well as several discrete and continuous mathematical methods for modeling of the processes critically involved in the onset and progression of T2D. We aim to validate the predictions of our models using actual biological and clinical data. ResultsThis study was initiated in March 2013 and is expected to be completed by February 2016. ConclusionsMISSION-T2D aims to pave the way for translating validated multilevel immune-metabolic models into the clinical setting of T2D. This approach will eventually generate predictive biomarkers for this disease from the integration of clinical data with metabolic, nutritional, immune/inflammatory, genetic, and gut microbiota profiles. Eventually, it should prove possible to translate these into cost-effective and mobile-based diagnostic tools.
url http://www.researchprotocols.org/2013/2/e44/
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