{"title":"2022 年爱尔兰艰难梭菌分离株的基因型和表型抗菌药耐药性","authors":"Lieke Brouwer , Anne Carroll , Eleanor McNamara","doi":"10.1016/j.anaerobe.2024.102857","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>Infection with <em>Clostridioides difficile</em> usually occurs after antibiotic treatment for other infections and can cause gastro-intestinal disorders of variable severity. <em>C. difficile</em> can be resistant to a wide spectrum of antimicrobials. Detection of antimicrobial resistance (AMR) is important to direct optimal treatment and surveillance of AMR patterns in the overall population. Correlation between genotypic markers and phenotypic AMR is not yet well defined. The aim for this study is to assess whether and to what extent genotypic determinants of AMR correlate with phenotypic resistance.</p></div><div><h3>Methods</h3><p><em>C. difficile</em> isolates (n = 99) were phenotypically characterized for resistance to eight antibiotics using Sensititre plates or E-tests. Their genomes were screened for genetic markers of resistance. Accuracy, sensitivity, specificity, positive and negative predictive values were calculated.</p></div><div><h3>Results</h3><p>We found high rates of resistance (>50 %) to cefoxitin and clindamycin, intermediate rates of resistance (10 %–50 %) to moxifloxacin and tetracycline and low rates of resistance (<10 %) to imipenem, metronidazole, vancomycin, and rifampicin. For moxifloxacin, tetracycline, and clindamycin, we found a good correlation between genotypic and phenotypic AMR, with an overall accuracy of 98 % (95 % CI 93%–100 %), 78 % (95 % CI 68%–86 %) and 86 % (95 % CI 77%–92 %) respectively. For the other five antibiotics, accurate estimates on the correlation could not be made.</p></div><div><h3>Conclusion</h3><p>Our results suggest that for moxifloxacin, tetracycline and clindamycin, phenotypic resistance in <em>C. difficile</em> can be predicted by genetic indicators and used for public health purposes. However, for the other five antibiotics, the model is not accurate and further development is necessary.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1075996424000404/pdfft?md5=03ef5dd0774d6f89f40459ecc7e12e05&pid=1-s2.0-S1075996424000404-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Genotypic and phenotypic antimicrobial resistance of Irish Clostridioides difficile isolates, 2022\",\"authors\":\"Lieke Brouwer , Anne Carroll , Eleanor McNamara\",\"doi\":\"10.1016/j.anaerobe.2024.102857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><p>Infection with <em>Clostridioides difficile</em> usually occurs after antibiotic treatment for other infections and can cause gastro-intestinal disorders of variable severity. <em>C. difficile</em> can be resistant to a wide spectrum of antimicrobials. Detection of antimicrobial resistance (AMR) is important to direct optimal treatment and surveillance of AMR patterns in the overall population. Correlation between genotypic markers and phenotypic AMR is not yet well defined. The aim for this study is to assess whether and to what extent genotypic determinants of AMR correlate with phenotypic resistance.</p></div><div><h3>Methods</h3><p><em>C. difficile</em> isolates (n = 99) were phenotypically characterized for resistance to eight antibiotics using Sensititre plates or E-tests. Their genomes were screened for genetic markers of resistance. Accuracy, sensitivity, specificity, positive and negative predictive values were calculated.</p></div><div><h3>Results</h3><p>We found high rates of resistance (>50 %) to cefoxitin and clindamycin, intermediate rates of resistance (10 %–50 %) to moxifloxacin and tetracycline and low rates of resistance (<10 %) to imipenem, metronidazole, vancomycin, and rifampicin. For moxifloxacin, tetracycline, and clindamycin, we found a good correlation between genotypic and phenotypic AMR, with an overall accuracy of 98 % (95 % CI 93%–100 %), 78 % (95 % CI 68%–86 %) and 86 % (95 % CI 77%–92 %) respectively. For the other five antibiotics, accurate estimates on the correlation could not be made.</p></div><div><h3>Conclusion</h3><p>Our results suggest that for moxifloxacin, tetracycline and clindamycin, phenotypic resistance in <em>C. difficile</em> can be predicted by genetic indicators and used for public health purposes. 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引用次数: 0
摘要
目标艰难梭菌感染通常发生在其他感染的抗生素治疗之后,可引起严重程度不一的胃肠功能紊乱。艰难梭菌可对多种抗菌药物产生耐药性。抗菌药耐药性(AMR)的检测对于指导最佳治疗和监测整个人群的 AMR 模式非常重要。基因型标记物与表型 AMR 之间的相关性尚未得到很好的界定。本研究的目的是评估AMR的基因型决定因素是否以及在多大程度上与表型耐药性相关。方法使用药敏板或E-试验对艰难梭菌分离株(n = 99)进行表型鉴定,以确定其对八种抗生素的耐药性。对它们的基因组进行了耐药性遗传标记筛选。结果我们发现,对头孢西丁和林可霉素的耐药率较高(50%),对莫西沙星和四环素的耐药率居中(10%-50%),对亚胺培南、甲硝唑、万古霉素和利福平的耐药率较低(10%)。对于莫西沙星、四环素和克林霉素,我们发现基因型和表型 AMR 之间具有良好的相关性,总体准确率分别为 98 %(95 % CI 93%-100%)、78 %(95 % CI 68%-86%)和 86 %(95 % CI 77%-92%)。结论我们的研究结果表明,对于莫西沙星、四环素和林可霉素,艰难梭菌的表型耐药性可通过基因指标预测,并可用于公共卫生目的。但对于其他五种抗生素,该模型并不准确,需要进一步开发。
Genotypic and phenotypic antimicrobial resistance of Irish Clostridioides difficile isolates, 2022
Objectives
Infection with Clostridioides difficile usually occurs after antibiotic treatment for other infections and can cause gastro-intestinal disorders of variable severity. C. difficile can be resistant to a wide spectrum of antimicrobials. Detection of antimicrobial resistance (AMR) is important to direct optimal treatment and surveillance of AMR patterns in the overall population. Correlation between genotypic markers and phenotypic AMR is not yet well defined. The aim for this study is to assess whether and to what extent genotypic determinants of AMR correlate with phenotypic resistance.
Methods
C. difficile isolates (n = 99) were phenotypically characterized for resistance to eight antibiotics using Sensititre plates or E-tests. Their genomes were screened for genetic markers of resistance. Accuracy, sensitivity, specificity, positive and negative predictive values were calculated.
Results
We found high rates of resistance (>50 %) to cefoxitin and clindamycin, intermediate rates of resistance (10 %–50 %) to moxifloxacin and tetracycline and low rates of resistance (<10 %) to imipenem, metronidazole, vancomycin, and rifampicin. For moxifloxacin, tetracycline, and clindamycin, we found a good correlation between genotypic and phenotypic AMR, with an overall accuracy of 98 % (95 % CI 93%–100 %), 78 % (95 % CI 68%–86 %) and 86 % (95 % CI 77%–92 %) respectively. For the other five antibiotics, accurate estimates on the correlation could not be made.
Conclusion
Our results suggest that for moxifloxacin, tetracycline and clindamycin, phenotypic resistance in C. difficile can be predicted by genetic indicators and used for public health purposes. However, for the other five antibiotics, the model is not accurate and further development is necessary.