ID | 57637 |
フルテキストURL | |
著者 |
Iwata, Yasunori
Division of Infection Control, Kanazawa University
Satou, Kenji
Faculty of Electrical and Computer Engineering, Kanazawa University
Furuichi, Kengo
Division of Nephrology, Kanazawa Medical University School of Medicine
Yoneda, Ikuko
Division of Nephrology, Kanazawa University
Matsumura, Takuhiro
Department of Bacteriology, Kanazawa University
Yutani, Masahiro
Graduate School of Environmental and Life Science, Okayama University
Fujinaga, Yukako
Graduate School of Environmental and Life Science, Okayama University
Hase, Atsushi
Faculty of Electrical and Computer Engineering, Kanazawa University
Morita, Hidetoshi
Graduate School of Environmental and Life Science, Okayama University
Kaken ID
researchmap
Ohta, Toshiko
University of Tsukuba
Senda, Yasuko
Division of Infection Control, Kanazawa University
Sakai-Takemori, Yukiko
Division of Infection Control, Kanazawa University
Wada, Taizo
Division of Infection Control, Kanazawa University
Fujita, Shinichi
Division of Infection Control, Kanazawa University
Miyake, Taito
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Yasuda, Haruka
Department of Nephrology and Laboratory Medicine, Kanazawa University
Sakai, Norihiko
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Division of Blood Purification, Kanazawa University
Kitajima, Shinji
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Toyama, Tadashi
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Shinozaki, Yasuyuki
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Sagara, Akihiro
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Miyagawa, Taro
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Hara, Akinori
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Shimizu, Miho
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Kamikawa, Yasutaka
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University
Ikeo, Kazuho
Laboratory of DNA Data Analysis, National Institute of Genetics
Shichino, Shigeyuki
Department of Molecular Preventive Medicine, University of Tokyo
Ueha, Satoshi
Department of Molecular Preventive Medicine, University of Tokyo
Nakajima, Takuya
Department of Molecular Preventive Medicine, University of Tokyo
Matsushima, Kouji
Department of Molecular Preventive Medicine, University of Tokyo
Kaneko, Shuichi
epartment of Disease Control and Homeostasis, Kanazawa University
Wada, Takashi
Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Nephrology and Laboratory Medicine, Kanazawa University
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抄録 | Objectives: Methicillin-resistant Staphylococcus aureus (MRSA) causes hospital- and community-acquired infections. It is not clear whether genetic characteristics of the bacteria contribute to disease pathogenesis in MRSA infection. We hypothesized that whole genome analysis of MRSA strains could reveal the key gene loci and/or the gene mutations that affect clinical manifestations of MRSA infection.
Methods: Whole genome sequences (WGS) of MRSA of 154 strains were analyzed with respect to clinical manifestations and data. Further, we evaluated the association between clinical manifestations in MRSA infection and genomic information. Results: WGS revealed gene mutations that correlated with clinical manifestations of MRSA infection. Moreover, 12 mutations were selected as important mutations by Random Forest analysis. Cluster analysis revealed strains associated with a high frequency of bloodstream infection (BSI). Twenty seven out of 34 strains in this cluster caused BSI. These strains were all positive for collagen adhesion gene (cna) and have mutations in the locus, those were selected by Random Forest analysis. Univariate and multivariate analysis revealed that these gene mutations were the predictor for the incidence of BSI. Interestingly, mutant CNA protein showed lower attachment ability to collagen, suggesting that the mutant protein might contribute to the dissemination of bacteria. Conclusions: These findings suggest that the bacterial genotype affects the clinical characteristics of MRSA infection. (c) 2019 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
キーワード | Bloodstream infection
Cna
MRSA
Whole genome sequencing
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発行日 | 2019-11-15
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出版物タイトル |
International Journal of Infectious Diseases
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巻 | 91巻
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出版者 | Elsevier
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開始ページ | 22
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終了ページ | 31
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ISSN | 12019712
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資料タイプ |
学術雑誌論文
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言語 |
英語
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OAI-PMH Set |
岡山大学
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著作権者 | © 2019 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
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論文のバージョン | publisher
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PubMed ID | |
DOI | |
Web of Science KeyUT | |
関連URL | isVersionOf https://doi.org/10.1016/j.ijid.2019.11.003
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ライセンス | http://creativecommons.org/licenses/by-nc-nd/4.0/
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Citation | Iwata Y, Satou K, Furuichi K, et al. Collagen adhesion gene is associated with bloodstream infections caused by methicillin-resistant Staphylococcus aureus. Int J Infect Dis. 2020;91:22‐31. doi:10.1016/j.ijid.2019.11.003
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助成機関名 |
日本学術振興会
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助成番号 | 17H06394
18K08426
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オープンアクセス(出版社) |
OA
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オープンアーカイブ(出版社) |
非OpenArchive
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