通过前列腺分泌物中16S rRNA聚合酶链反应检测细菌信号,预测慢性盆腔疼痛综合征患者对抗生素治疗的反应。

Techniques in urology Pub Date : 2000-09-01
D A Shoskes, A R Shahed
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引用次数: 0

摘要

目的:用16S rRNA技术检测慢性盆腔疼痛综合征(CPPS)患者前列腺液(表达性前列腺分泌物[EPS])中存在细菌。在这项研究中,我们将细菌信号的存在与治疗反应联系起来。材料与方法:采用细菌16S rRNA特异引物,采用聚合酶链式反应(PCR)检测47例男性CPPS患者的EPS和首次排尿(VB1)。如果仅在EPS样品中发现信号,或者如果EPS比VB1强至少10倍,则认为信号为阳性。所有患者均给予抗生素治疗。结果:IIIa型(非细菌性前列腺炎)33例,IIIb型(前列腺痛)14例。33例IIIa类患者中有17例革兰氏阳性菌定位培养阳性。然而,通过16S rRNA PCR,在23份EPS样品中检测到阳性细菌信号。17例培养阳性患者中有14例,其余16例IIIa类患者中有7例,14例IIIb类患者中有2例发现该信号。细菌信号阴性的患者在抗生素治疗后无改善(阴性预测值100%)。13例细菌信号阳性患者经抗生素治疗后病情好转。结论:在III类慢性前列腺炎/CPPS患者中,PCR检测到的细菌信号可以帮助预测对抗菌药物治疗的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of bacterial signal by 16S rRNA polymerase chain reaction in expressed prostatic secretions predicts response to antibiotic therapy in men with chronic pelvic pain syndrome.

Purpose: Some men with chronic pelvic pain syndrome (CPPS) have evidence of bacteria in their prostatic fluid (expressed prostatic secretions [EPS]) detected by 16S rRNA techniques. In this study, we correlate presence of bacterial signal with response to therapy.

Materials and methods: EPS and first voided urine (VB1) from 47 men with CPPS were analyzed by polymerase chain reaction (PCR) for bacterial signal using universal primers specific for bacterial 16S rRNA. Signal was considered positive if found only in the EPS sample, or if at least 10x stronger in the EPS than in VB1. All patients were treated with antibiotic therapy.

Results: Thirty-three patients were category IIIa (nonbacterial prostatitis) and 14 were category IIIb (prostatodynia). Seventeen of the 33 category IIIa patients had positive localizing cultures for gram-positive bacteria. However, a positive bacterial signal was detected in 23 EPS samples by 16S rRNA PCR. This signal was found in 14 of 17 culture-positive patients, 7 of 16 of the remaining category IIIa patients, and 2 of 14 of category IIIb patients. No patient with negative bacterial signal improved with antibiotic therapy (negative predictive value 100%). Thirteen patients with positive bacterial signal improved with antibiotic therapy.

Conclusions: In men with category III chronic prostatitis/CPPS, bacterial signal detected by PCR can help predict response to antimicrobial therapy.

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