International Journal of Infectious Diseases (Feb 2020)
Collagen adhesion gene is associated with bloodstream infections caused by methicillin-resistant Staphylococcus aureus
- Yasunori Iwata,
- Kenji Satou,
- Kengo Furuichi,
- Ikuko Yoneda,
- Takuhiro Matsumura,
- Masahiro Yutani,
- Yukako Fujinaga,
- Atsushi Hase,
- Hidetoshi Morita,
- Toshiko Ohta,
- Yasuko Senda,
- Yukiko Sakai-Takemori,
- Taizo Wada,
- Shinichi Fujita,
- Taito Miyake,
- Haruka Yasuda,
- Norihiko Sakai,
- Shinji Kitajima,
- Tadashi Toyama,
- Yasuyuki Shinozaki,
- Akihiro Sagara,
- Taro Miyagawa,
- Akinori Hara,
- Miho Shimizu,
- Yasutaka Kamikawa,
- Kazuho Ikeo,
- Shigeyuki Shichino,
- Satoshi Ueha,
- Takuya Nakajima,
- Kouji Matsushima,
- Shuichi Kaneko,
- Takashi Wada
Affiliations
- Yasunori Iwata
- Division of Infection Control, Kanazawa University, Kanazawa, Japan; Division of Nephrology, Kanazawa University, Kanazawa, Japan; Corresponding author at: Division of Infection Control, Division of Nephrology, Kanazawa University, 13-1 Takara-machi, Kanazawa 920-8641, Japan.
- Kenji Satou
- Faculty of Electrical and Computer Engineering, Kanazawa University, Kanazawa, Japan
- Kengo Furuichi
- Division of Nephrology, Kanazawa Medical University School of Medicine, Ishikawa, Japan
- Ikuko Yoneda
- Division of Nephrology, Kanazawa University, Kanazawa, Japan
- Takuhiro Matsumura
- Department of Bacteriology, Kanazawa University, Kanazawa, Japan
- Masahiro Yutani
- Department of Bacteriology, Kanazawa University, Kanazawa, Japan
- Yukako Fujinaga
- Department of Bacteriology, Kanazawa University, Kanazawa, Japan
- Atsushi Hase
- Faculty of Electrical and Computer Engineering, Kanazawa University, Kanazawa, Japan
- Hidetoshi Morita
- Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan
- Toshiko Ohta
- University of Tsukuba, Tsukuba, Japan
- Yasuko Senda
- Division of Infection Control, Kanazawa University, Kanazawa, Japan
- Yukiko Sakai-Takemori
- Division of Infection Control, Kanazawa University, Kanazawa, Japan
- Taizo Wada
- Division of Infection Control, Kanazawa University, Kanazawa, Japan
- Shinichi Fujita
- Division of Infection Control, Kanazawa University, Kanazawa, Japan
- Taito Miyake
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Haruka Yasuda
- Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
- Norihiko Sakai
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Division of Blood Purification, Kanazawa University, Kanazawa, Japan
- Shinji Kitajima
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Tadashi Toyama
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Yasuyuki Shinozaki
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Akihiro Sagara
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Taro Miyagawa
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Akinori Hara
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Miho Shimizu
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Yasutaka Kamikawa
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Kazuho Ikeo
- Laboratory of DNA Data Analysis, National Institute of Genetics, Shizuoka, Japan
- Shigeyuki Shichino
- Department of Molecular Preventive Medicine, University of Tokyo, Tokyo, Japan; Division of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute of Biomedical Sciences, Tokyo University of Science, Noda, Japan
- Satoshi Ueha
- Department of Molecular Preventive Medicine, University of Tokyo, Tokyo, Japan; Division of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute of Biomedical Sciences, Tokyo University of Science, Noda, Japan
- Takuya Nakajima
- Department of Molecular Preventive Medicine, University of Tokyo, Tokyo, Japan; Division of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute of Biomedical Sciences, Tokyo University of Science, Noda, Japan
- Kouji Matsushima
- Department of Molecular Preventive Medicine, University of Tokyo, Tokyo, Japan; Division of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute of Biomedical Sciences, Tokyo University of Science, Noda, Japan
- Shuichi Kaneko
- Department of Disease Control and Homeostasis, Kanazawa University, Kanazawa, Japan
- Takashi Wada
- Division of Nephrology, Kanazawa University, Kanazawa, Japan; Department of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan
- Journal volume & issue
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Vol. 91
pp. 22 – 31
Abstract
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. Keywords: MRSA, Bloodstream infection, Cna, Whole genome sequencing
