Multiscale modeling and simulation study for immune inflammatory response at the skin tissue
| Project/Area Number |
25871132
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Foundations of mathematics/Applied mathematics
Computational science
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| Research Institution | The University of Tokyo (2014-2015)
Institute of Physical and Chemical Research (2013) |
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Principal Investigator |
Nakaoka Shinji 東京大学, 医学(系)研究科(研究院), 助教 (30512040)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | マルチスケール数理モデル / 確率シミュレーション / 免疫系 / アトピー性皮膚炎 |
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| Outline of Final Research Achievements |
The purpose of the present research project is to construct multi-scale mathematical models representing disease progression. A particular focus of this study is to describe the progression of atopic dermatitis as a representative skin inflammatory disease. One of mathematical analyses conducted in this research project includes propagation of the inflammatory response at the epidermis tissue. Moreover, interactions amount protease activity and immune response was incorporated to investigate how chronic inflammation is maintained. The later of the project has been in preparation to submit a peer review journal. This work is done by an international collaboration. In addition, study on determining an appropriate numerical computation scheme was examined to develop an efficient and useful computation scheme to implement numerical simulations for multi-scale models. These achievements will be further improved to obtain clear understanding on multi-scale dynamics in disease progression.
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Report
(4 results)
Research Products
(25 results)
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[Journal Article] Identifying determinants of heterogeneous transmission dynamics of the Middle East respiratory syndrome (MERS) outbreak in the Republic of Korea, 2015: a retrospective epidemiological analysis.2016
Author(s)
Nishiura H, Endo A, Saitoh M, Kinoshita R, Ueno R, Nakaoka S, Miyamatsu Y, Dong Y, Chowell G, Mizumoto K
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Journal Title
BMJ Open
Volume: 6
Issue: 2
Pages: e009936-e009936
DOI
NAID
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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