2020 Fiscal Year Final Research Report
A next-generation mass spectrometric/computational strategy for aging biomarker discovery
| Project/Area Number |
18H02425
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 43050:Genome biology-related
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| Research Institution | Institute of Physical and Chemical Research |
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Principal Investigator |
Wu Yibo 国立研究開発法人理化学研究所, 生命医科学研究センター, 上級研究員 (50811618)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | Proteomics / White adipose tissue / Obesity / Ligand-receptor pairs / Lipid metabolism |
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| Outline of Final Research Achievements |
In this KAKENHI project, we proposed to discover biomarkers of aging and age-related metabolic diseases. We have applied the data-independent acquisition mass spectrometry (DIA-MS) method to mouse white adipose tissue (WAT) samples. We have generated a complete protein quantification map for 4727 proteins from 180 WAT samples of 53 mouse strains from the BXD aging colony. From these data, we have identified potential biomarkers for age-related obesity and metabolic dysfunction. We also expanded proteomics analysis to specific cell types from WAT tissues under high-fat and control diet. We found proteins that were significantly regulated by diet in a time-dependent manner, and candidate genes that could regulate lipid metabolism in macrophages. We have also identified cellular ligand-receptor pairs that changed significantly during diet-induced obesity. We believe our results provide novel evidence of the underlying mechanism of obesity through adipose tissue cell-cell communication.
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| Free Research Field |
ゲノム生物学関連
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| Academic Significance and Societal Importance of the Research Achievements |
We have generated a comprehensive dataset that could be informative for those who study adipose tissue function and metabolic disease. We found genes that were significantly regulated by high-fat diet and could regulate lipid metabolism. These genes could be potential drug targets to treat obesity.
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