Department of Microbiology & Infectious Diseases, The Royal Women's Hospital, Locked Bag 300, Parkville, Victoria 3052, Australia.
J Clin Microbiol. 2010 Jun;48(6):2060-5. doi: 10.1128/JCM.02308-09. Epub 2010 Apr 14.
Knowledge of circulating Chlamydia trachomatis serovars can be beneficial for sexual network surveillance, monitoring treatment success, and associating specific clinical manifestations. Typically, C. trachomatis serovars are predicted by nucleotide sequencing of four variable domains within the ompA gene. However, sequencing procedures can be labor-intensive, are not readily available, and can lack the capacity to identify multiple serovars. This study describes the development and evaluation of a quantitative real-time PCR (qPCR) test algorithm for the rapid prediction of C. trachomatis serovars, including ocular (A to C) and anogenital (D to L3) strains. This test comprises a primary qPCR to confirm C. trachomatis positivity and the phylogenetic group(s) present and a secondary set of qPCRs to determine specific serovars. Cell culture isolates from 15 prototypic C. trachomatis serovars were correctly identified using this assay, with no cross-reactivity observed among serovars or with other common pathogenic microorganisms. Five hundred clinical specimens (previously diagnosed as being C. trachomatis positive) were evaluated by qPCR, with their results compared to results obtained by conventional sequencing. The qPCR identified 88.9% (423/476) complete matches (95% confidence interval [CI], 86 to 92%) of serovars compared to the results obtained using the sequence-based approach. Among the anogenital specimens, 2.4% (12/494) (95% CI, 1.3 to 4.2%) contained multiple serovars, categorized as single-serovar infections by conventional sequencing. Overall, this test exhibited high discriminatory success for predicting C. trachomatis serovars, particularly among anogenital infections. This is the first report of a qPCR typing assay offering differentiation of C. trachomatis serovars associated with both anogenital and ocular diseases.
对沙眼衣原体血清型的了解有助于进行性网络监测、监测治疗效果,并将特定的临床表现联系起来。通常,沙眼衣原体血清型是通过 ompA 基因内四个可变域的核苷酸测序来预测的。然而,测序程序可能劳动强度大,不易获得,并且可能无法识别多种血清型。本研究描述了一种快速预测沙眼衣原体血清型的定量实时 PCR(qPCR)测试算法的开发和评估,包括眼(A 至 C)和肛门生殖器(D 至 L3)株。该测试包括一个主要的 qPCR 来确认沙眼衣原体的阳性和存在的系统发育群(组),以及一组次要的 qPCR 来确定特定的血清型。使用该检测方法正确鉴定了 15 个沙眼衣原体原型血清型的细胞培养分离株,未观察到血清型之间或与其他常见致病微生物之间的交叉反应。对 500 份临床标本(先前诊断为沙眼衣原体阳性)进行了 qPCR 评估,并将其结果与传统测序的结果进行了比较。qPCR 鉴定了 88.9%(423/476)的完整匹配(95%置信区间[CI],86 至 92%)的血清型与基于序列的方法获得的结果相比。在肛门生殖器标本中,2.4%(12/494)(95%CI,1.3 至 4.2%)包含多个血清型,按传统测序方法分类为单血清型感染。总的来说,该测试对预测沙眼衣原体血清型具有很高的鉴别成功率,特别是在肛门生殖器感染中。这是首次报道 qPCR 分型检测可区分与肛门生殖器和眼部疾病相关的沙眼衣原体血清型。