2012年12月2日 訊 /生物谷BIOON/ --近日,，來自英國的研究者通過研究開發(fā)出的一種新型的微陣列技術,，研究者在實驗中評估了這種新型的微陣列技術對于檢測廣泛的革蘭氏陰性致病菌抗生素耐藥性基因上的效用。相關研究報告“Evaluation of an expanded microarray for detecting antibiotic resistance genes in a broad range of Gram-negative bacterial pathogens.”刊登在了11月5日的國際雜志Antimicrobial Agents and Chemotherapy上,。
這種新型的微陣列技術可以檢測包括19個不同的抗生素家族及75個臨床相關的抗生素耐藥性基因,，并且可以對132個革蘭氏陰性致病菌進行檢測。微陣列技術所揭示的抗生素耐藥性的表型陽性結果大于91%,，檢測特異性大于83%,。而且未包括相關耐藥性表型的微陣列技術陽性結果與PCR所得的結果匹配結果為94%,，這也就表明了，無論是基因表達強度低還是不存在,，通過微陣列檢測出的細菌耐藥基因的結果是可信的,。
對于一些抗菌耐藥性系列所得的微陣列結果的低靈敏度以及陰性預測值，研究者Roderick Card說,，這有可能是由于抗性基因數(shù)量的限制所導致的,，或者是耐藥基因發(fā)生了突變所引發(fā)的。
這種新型微陣列技術可用于臨床上的診斷,，來幫助醫(yī)生們采取正確的治療手段來治療由于耐藥性革蘭氏陰性致病菌的感染,，對于治療那些因為療法失敗的病人有一定的幫助。（生物谷Bioon.com）
PMC:
PMID:
Evaluation of an expanded microarray for detecting antibiotic resistance genes in a broad range of Gram-negative bacterial pathogens.
Card R, Zhang J, Das P, Cook C, Woodford N, Anjum MF.
A microarray capable of detecting 75 clinically-relevant antibiotic resistance genes, 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, 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 is 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 multi-antibiotic resistant Gram-negative bacteria and prevent treatment failure.
