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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
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
発行日
2019-11-15
出版物タイトル
International Journal of Infectious Diseases
91巻
出版者
Elsevier
開始ページ
22
終了ページ
31
ISSN
12019712
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2019 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
論文のバージョン
publisher
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1016/j.ijid.2019.11.003
ライセンス
http://creativecommons.org/licenses/by-nc-nd/4.0/
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
助成機関名
日本学術振興会
助成番号
17H06394
18K08426
オープンアクセス(出版社)
OA
オープンアーカイブ(出版社)
非OpenArchive