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   The onset of type 2 diabetes: Proposal for a multi-scale model  
   
نویسنده castiglione f. ,tieri p. ,de graaf a. ,franceschi c. ,liò p. ,van ommen b. ,mazzà c. ,tuchel a. ,bernaschi m. ,samson c. ,colombo t. ,castellani g.c. ,capri m. ,garagnani p. ,salvioli s. ,nguyen v.a. ,bobeldijk-pastorova i. ,krishnan s. ,cappozzo a. ,sacchetti m. ,morettini m. ,ernst m.
منبع journal of medical internet research - 2013 - دوره : 15 - شماره : 10
چکیده    Background: type 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. objective: we 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. methods: specifically,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. results: this study was initiated in march 2013 and is expected to be completed by february 2016. conclusions: mission-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. © filippo castiglione,paolo tieri,albert de graaf,claudio franceschi,pietro liò,ben van ommen,claudia mazzà,alexander tuchel,massimo bernaschi,clare samson,teresa colombo,gastone c castellani,miriam capri,paolo garagnani,stefano salvioli,viet anh nguyen,ivana bobeldijk-pastorova,shaji krishnan,aurelio cappozzo,massimo sacchetti,micaela morettini,marc ernst.
کلیدواژه Computational biology; Data integration; Metabolism; Metaflammation; Multiscale modeling; Physical activity; Simulation; Type 2 diabetes
آدرس consiglio nazionale delle ricerche,istituto per le applicazioni del calcolo mauro picone,viale a manzoni 30,rome,00185, Italy, consiglio nazionale delle ricerche,istituto per le applicazioni del calcolo mauro picone,viale a manzoni 30,rome,00185, Italy, tno toegepast natuurwetenschappelijk onderzoek,microbiology and systems biology,zeist, Netherlands, università di bologna,dipartimento di medicina specialistica,diagnostica e sperimentale,bologna, Italy, university of cambridge,computer laboratory,faculty of computer science and technology,cambridge, United Kingdom, tno toegepast natuurwetenschappelijk onderzoek,microbiology and systems biology,zeist, Netherlands, university of sheffield,department of mechanical engineering,sheffield,united kingdom,university of sheffield,insigneo institute for in silico medicine,sheffield, United Kingdom, medisana space technologies gmbh,dusseldorf, Germany, consiglio nazionale delle ricerche,istituto per le applicazioni del calcolo mauro picone,viale a manzoni 30,rome,00185, Italy, consiglio nazionale delle ricerche,istituto per le applicazioni del calcolo mauro picone,viale a manzoni 30,rome,00185, Italy, consiglio nazionale delle ricerche,istituto per le applicazioni del calcolo mauro picone,viale a manzoni 30,rome,00185, Italy, università di bologna,dipartimento di medicina specialistica,diagnostica e sperimentale,bologna, Italy, università di bologna,dipartimento di medicina specialistica,diagnostica e sperimentale,bologna, Italy, università di bologna,dipartimento di medicina specialistica,diagnostica e sperimentale,bologna, Italy, università di bologna,dipartimento di medicina specialistica,diagnostica e sperimentale,bologna, Italy, university of cambridge,computer laboratory,faculty of computer science and technology,cambridge, United Kingdom, tno toegepast natuurwetenschappelijk onderzoek,microbiology and systems biology,zeist, Netherlands, tno toegepast natuurwetenschappelijk onderzoek,microbiology and systems biology,zeist, Netherlands, università di roma foro italico,dipartimento di scienze del movimento umano e dello sport,rome, Italy, università di roma foro italico,dipartimento di scienze del movimento umano e dello sport,rome, Italy, università di roma foro italico,dipartimento di scienze del movimento umano e dello sport,rome, Italy, medisana space technologies gmbh,dusseldorf, Germany
 
     
   
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