Correlation Analysis between Antibiotic Resistance Gene Profile and Susceptibility to Gentamicin, Clindamycin, and Minocycline in Clinically Isolated Methicillin-resistant Staphylococcus aureus
Hiroshima Journal of Medical Sciences 66 巻 2 号
31-38 頁
2017-08 発行
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| ファイル情報(添付) | |
| タイトル ( eng ) |
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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| 作成者 |
Pratomo Irandi Putra
Isbaniyah Fathiyah
Koba Yumiko
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| 収録物名 |
Hiroshima Journal of Medical Sciences
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| 巻 | 66 |
| 号 | 2 |
| 開始ページ | 31 |
| 終了ページ | 38 |
| 収録物識別子 |
[PISSN] 0018-2052
[EISSN] 2433-7668
[NCID] AA00664312
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| 抄録 |
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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| 著者キーワード |
Methicillin-resistant Staphylococcus aureus
next-generation sequencing
in silico genome analysis
antimicrobial susceptibility
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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.
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| NDC分類 |
医学 [ 490 ]
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| 言語 |
英語
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| 資源タイプ | 紀要論文 |
| 出版者 |
Hiroshima University Medical Press
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| 発行日 | 2017-08 |
| 権利情報 |
Copyright (c) 2017 Hiroshima University Medical Press
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| 出版タイプ | Version of Record（出版社版。早期公開を含む） |
| アクセス権 | オープンアクセス |
| 収録物識別子 |
[ISSN] 0018-2052
[ISSN] 2433-7668
[NCID] AA00664312
[DOI] 10.24811/hjms.66.2_31
[DOI] https://doi.org/10.24811/hjms.66.2_31
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