Animal Health and Veterinary Laboratories Agency, Weybridge, New Haw, Addlestone, Surrey, United Kingdom.
Antimicrob Agents Chemother. 2013 Jan;57(1):458-65. doi: 10.1128/AAC.01223-12. Epub 2012 Nov 5.
A microarray capable of detecting genes for resistance to 75 clinically relevant antibiotics encompassing 19 different antimicrobial classes was tested on 132 Gram-negative bacteria. Microarray-positive results correlated >91% with antimicrobial resistance phenotypes, assessed using British Society for Antimicrobial Chemotherapy clinical breakpoints; the overall test specificity was >83%. Microarray-positive results without a corresponding resistance phenotype matched 94% with PCR results, indicating accurate detection of genes present in the respective bacteria by microarray when expression was low or absent and, hence, undetectable by susceptibility testing. The low sensitivity and negative predictive values of the microarray results for identifying resistance to some antimicrobial resistance classes are likely due to the limited number of resistance genes present on the current microarray for those antimicrobial agents or to mutation-based resistance mechanisms. With regular updates, this microarray can be used for clinical diagnostics to help accurate therapeutic options to be taken following infection with multiple-antibiotic-resistant Gram-negative bacteria and prevent treatment failure.
一种能够检测 75 种临床相关抗生素耐药基因的微阵列,涵盖了 19 种不同的抗菌药物类别,在 132 株革兰氏阴性菌上进行了测试。微阵列阳性结果与使用英国抗菌化疗学会临床折点评估的抗菌药物耐药表型相关性>91%;总体测试特异性>83%。没有相应耐药表型的微阵列阳性结果与 PCR 结果匹配率为 94%,表明微阵列能够准确检测到各自细菌中存在的基因,即使表达水平低或不存在,因此无法通过药敏试验检测到。微阵列结果对某些抗菌药物耐药类别的敏感性和阴性预测值较低,可能是由于当前微阵列上针对这些抗菌药物的耐药基因数量有限,或者是由于基于突变的耐药机制。通过定期更新,这种微阵列可用于临床诊断,以帮助在感染多药耐药革兰氏阴性菌后做出准确的治疗选择,防止治疗失败。