Item type |
デフォルトアイテムタイプ_(フル)(1) |
公開日 |
2023-03-18 |
タイトル |
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タイトル |
Correlation Analysis between Antibiotic Resistance Gene Profile and Susceptibility to Gentamicin, Clindamycin, and Minocycline in Clinically Isolated Methicillin-resistant Staphylococcus aureus |
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言語 |
en |
作成者 |
Pratomo, Irandi Putra
Isbaniyah, Fathiyah
Koba, Yumiko
Ohge, Hiroki
Sueda, Taijiro
Hiyama, Eiso
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アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
権利情報 |
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権利情報 |
Copyright (c) 2017 Hiroshima University Medical Press |
主題 |
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主題Scheme |
Other |
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主題 |
Methicillin-resistant Staphylococcus aureus |
主題 |
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主題Scheme |
Other |
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主題 |
next-generation sequencing |
主題 |
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主題Scheme |
Other |
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主題 |
in silico genome analysis |
主題 |
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主題Scheme |
Other |
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主題 |
antimicrobial susceptibility |
主題 |
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主題Scheme |
NDC |
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主題 |
490 |
内容記述 |
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内容記述 |
This study aimed to elucidate retrospectively the correlations between the genome and phenotype in clinical methicillin-resistant Staphylococcus aureus (MRSA) gentamicin (GEN), clindamycin (CLI), and minocycline (MIN) susceptibility using next-generation sequencing (NGS) technology. Ninety two MRSA strains were isolated from individual inpatients treated in Hiroshima University Hospital, Hiroshima, Japan, extracted for their genomic DNA, and sequenced using an Illumina® MiSeq sequencer to obtain their de novo whole-genome assembly. An in silico analysis using ResFinder was performed to obtain the genomic antimicrobial susceptibility profile which was analyzed together with GEN, CLI, and MIN minimum inhibitory concentration (MIC) levels. This study found aac(6’)aph(2")+, spc+, ermA+, tetM+ MRSA strains were predominant (42/92) and were shown to exhibit >16 mg/L GEN (40/42), >4 mg/L CLI (26/42), and >8 mg/L MIN MIC levels (30/42). Associations between aac(6’)aph(2") detections and GEN MIC levels (p <0.001), ermA detections and CLI MIC levels (p <0.001), and tetM detections and MIN MIC levels (p <0.001) were revealed in this study. Correlations between simultaneous detections of aac(6’) aph(2")-spc-ermA-tetM and GEN MIC levels (φc= 0.398, p <0.001), CLI MIC levels (φc= 0.448, p <0.001), and MIN MIC levels (φc= 0.515, p <0.001) were revealed in this study. The genomicphenotypic correlation analyses in this study provided an insight of a rapid antimicrobial detection in MRSA using in silico genomic antimicrobial susceptibility profiling. |
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言語 |
en |
内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
This research was partially supported by a Grant-in-Aid for Scientific Research (A) (No.15H02567) from the Ministry of Education, Culture, Sports, Science, and Technology and those from Ministry of Health, Labor, and Welfare of the Government of Japan. |
出版者 |
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出版者 |
Hiroshima University Medical Press |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
departmental bulletin paper |
出版タイプ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
関連情報 |
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識別子タイプ |
DOI |
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関連識別子 |
10.24811/hjms.66.2_31 |
関連情報 |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.24811/hjms.66.2_31 |
収録物識別子 |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
0018-2052 |
収録物識別子 |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2433-7668 |
収録物識別子 |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA00664312 |
開始ページ |
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開始ページ |
31 |
書誌情報 |
Hiroshima Journal of Medical Sciences
Hiroshima Journal of Medical Sciences
巻 66,
号 2,
p. 31-38,
発行日 2017-08
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旧ID |
44647 |