Elucidation of tissue colonization and pathogenesis of infective endocaritis-causing bacteria
| Project/Area Number |
15K20598
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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 |
Orthodontics/Pediatric dentistry
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| Research Institution | Nagasaki University |
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Principal Investigator |
KONDO Yoshio 長崎大学, 医歯薬学総合研究科(歯学系), 助教 (30581954)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 感染性心内膜炎 / レンサ球菌 |
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| Outline of Final Research Achievements |
Infective endocarditis is an infectious disease that forms warts in the endocardium, and the causative bacteria are pointed out as oral cavity-derived virulence streptococci. In this study, we compared genomes with non-pathogenic strains and Streptococcus oralis strain NS308 isolated from endocarditis lesion, and investigated the involvement in pathogenicity. As a result of analysis using the next generation sequencer, it was possible to obtain a full-length genome sequence. Based on this, comparing of the non-pathogenic strain S. oralis Uo5 and NS308 revealed that there are 340 NS308-specific genes and 69 of which are foreign genes. It seems that these are related to the acquisition of the pathogenicity in this bacterium, and further investigation will be necessary.
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Report
(3 results)
Research Products
(19 results)
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[Journal Article] Involvement of an Skp-Like Protein, PGN_0300, in the Type IX Secretion System of Porphyromonas gingivalis.2015
Author(s)
Taguchi Y, Sato K, Yukitake H, Inoue T, Nakayama M, Naito M, Kondo Y, Kano K, Hoshino T, Nakayama K, Takashiba S, Ohara N.
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Journal Title
Infection and Immunity
Volume: 84
Issue: 1
Pages: 230-40
DOI
Related Report
Peer Reviewed / Open Access
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[Presentation] Construction of New Risk Predictive Model based on Machine Learning Method.2016
Author(s)
Yoshio Kondo, Yoichi Motomura, Keisuke Murayama, Haruka Nishimata, Kayo Nishida, Keigo Imamura, Kyoko Satoh, Kiyoshi Hidaka, Yoko Kamasaki, Miyuki Nishiguchi, Tomonori Hoshino, Taku Fujiwara
Organizer
10th Biennial Conference of the Pediatric Dentistry Association Of Asia
Place of Presentation
東京ドームホテル（東京都・文京区）
Year and Date
2016-05-27
Related Report
Int'l Joint Research
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