| Project/Area Number |
17591411
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Digestive surgery
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| Research Institution | KYUSHU UNIVERCITY |
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Principal Investigator |
TANAKA Fumiaki Kyushu University, Hospital, Department of Molecular and Cellular Biology, Research Associate, 大学病院, 助手 (30332836)
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| Co-Investigator(Kenkyū-buntansha) |
YOSHITAKE Shinichirou Kyushu University, Hospital, Department of Anestheology, Assistant Professor, 大学病院, 講師 (80315142)
佐々木 淳 九州大学, 大学病院, 講師 (20336283)
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| Project Period (FY) |
2005 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2006: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2005: ¥2,300,000 (Direct Cost: ¥2,300,000)
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| Keywords | hepatitis / liver chirrosis / gene diagnosis / microarray / liver biopsy / 分子遺伝学 / 肝障害評価 / 肝生検 |
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| Research Abstract |
1. Evaluation of liver damage using molecular genetics method
We analyzed gene expression profile of non-cancer lesion of 121 patients using oligo array. We finally obtained samples from 81 patients who could be analyzed with liver mean fibrous index (MFI) using Azan staining.
2. Comparing patients in hepatitis C and hepatitis Bs
Among patients with hepatitis C, genes related Interferon or immune function were observed. GIP2 or IFI27, which located at the top of the list, were observed in upregulated expression area in cancer area of HCV-positive HCC patients. This gene list was identified to be different expression pattern of the patients with Hepatitis B and C. Lots of genes were classified in type C and others.
3. The evaluation of result using analysis with super-thin-needle method
We obtained the amount of total RNA using 18G:30.4±4.4μg and 20G:15.3±1.4μg. We confirm that the cluster using the same patients was located at the same position. Furthermore, we obtained the amount of total RNA using more-thin needle of 22G:4.9±0.9μg、23G:3.4±0.5μg. The cluster analysis were identified at the same cluster using liver resection sample and the super-thin needle aspiration sample.
4. Final selection of genes
According to our results above, gene expression profile of samples from hepatitis C and B were different, we consider that hepatitis C and B would be analyzed in different methods. At first, we analyzed the relationship of liver mean fibrotic change intensitiy (MFI) and gene expression profile.
5. We analyzed a microarray analysis using 74 samples using super-thin-needle aspiration, then finally identified 39 genes that would be related liver damage of hepatitis C. Among them, MHC-class-II molecules were clearly reflected the inflammation status. Furthermore, stem cell activating genes, such as' PIK3C2B、 ARHGDIB, were included. These gene might be molecular-prognostic-factor of hepatitis patients.
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