| Project/Area Number |
19K17662
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 53030:Respiratory medicine-related
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| Research Institution | Gunma University |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2020: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2019: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 喘息 / 尿 / メタボロミクス / asthma / urine / metabolomics |
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| Outline of Research at the Start |
We will perform molecular phenotyping of urine from a unique and well characterized asthma longitudinal cohort. Temporal assessment of novel biomarkers in non-invasive biofluids such as urine is a crucial step forward to monitor and predict the risk/severity of asthma exacerbations.
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| Outline of Final Research Achievements |
Asthma is one of the major noncommunicable diseases, affecting over 200 million people globally. Disease exacerbations are a major burden for asthmatics, however comprehensive approaches to monitor health and risk prediction are lacking. In this project we have measured chemical compounds in over 800 urine samples collected longitudinally over several months from 12 asthmatics and 12 healthy controls. Data analysis is still ongoing, but individuals show distinct urinary metabolic profiles and several chemical compounds show shifts related to asthma exacerbations. Understanding biological fluctuations in individuals can be used for health monitoring to prevent exacerbation.
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| Academic Significance and Societal Importance of the Research Achievements |
This project enabled creation of the tools needed for cohort scale urine metabolomics measurements with high precision. Reliable data is necessary to find chemical changes related to disease exacerbations. From several hundreds of detected urinary compounds few show shifts related to health status.
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