Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY 14853, USA.
Diagn Microbiol Infect Dis. 2010 Feb;66(2):140-7. doi: 10.1016/j.diagmicrobio.2009.09.014. Epub 2009 Oct 30.
In recent years, Clostridium spp. have rapidly reemerged as human and animal pathogens. The detection and identification of pathogenic Clostridium spp. is therefore critical for clinical diagnosis and antimicrobial therapy. Traditional diagnostic techniques for clostridia are laborious, are time consuming, and may adversely affect the therapeutic outcome. In this study, we developed an oligonucleotide diagnostic microarray for pathogenic Clostridium spp. The microarray specificity was tested against 65 Clostridium isolates. The applicability of this microarray in a clinical setting was assessed with the use of mock stool samples. The microarray was successful in discriminating at least 4 species with the limit of detection as low as 10(4) CFU/mL. In addition, the pattern of virulence and antibiotic resistance genes of tested strains were determined through the microarrays. This approach demonstrates the high-throughput detection and identification of Clostridium spp. and provides advantages over traditional methods. Microarray-based techniques are promising applications for clinical diagnosis and epidemiologic investigations.
近年来,梭菌属迅速重新成为人类和动物病原体。因此,对致病性梭菌属的检测和鉴定对于临床诊断和抗菌治疗至关重要。梭菌的传统诊断技术繁琐、耗时,可能会对治疗结果产生不利影响。在这项研究中,我们开发了一种用于致病性梭菌属的寡核苷酸诊断微阵列。通过对 65 株梭菌分离株进行测试,验证了微阵列的特异性。通过使用模拟粪便样本评估了该微阵列在临床环境中的适用性。该微阵列成功地将至少 4 个种区分开来,检测限低至 10(4)CFU/mL。此外,通过微阵列还确定了测试菌株的毒力和抗生素耐药基因的模式。这种方法证明了梭菌属的高通量检测和鉴定,并优于传统方法。基于微阵列的技术是临床诊断和流行病学研究的有前途的应用。