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首页> 外文期刊>Nature reviews. Urology >The DABBEC Phenotyping System: towards a mechanistic understanding of CP/CPPS.
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The DABBEC Phenotyping System: towards a mechanistic understanding of CP/CPPS.

机译：DABBEC表型系统：对CP / CPPS的机械理解。

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There is an urgent need to elucidate the mechanistic basis of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), as the current methods of symptom-based diagnosis and treatment have failed. Here, we propose a phenotyping system that bridges the gap between the symptom-based diagnosis and treatment of the present and the mechanistic approach of the future. Our phenotyping system uses the Chronic Prostatitis Collaborative Research Network (CPCRN)-recommended algorithm in combination with the NIH Chronic Prostatitis Symptom Index (NIH-CPSI) as a basis for diagnosis, while incorporating novel domains for quantitative assessment and stratification of CP/CPPS patients. We believe this novel system will serve to help advance our understanding of the roles of the patient's genome and proteome in the etiology of CP/CPPS. We predict that, as we begin to understand the mechanistic basis of CP/CPPS pathology and progression, we will develop specific treatments that will aim to cure the disease, rather than merely quell the symptoms.
机译：由于目前基于症状的诊断和治疗方法均告失败，因此迫切需要阐明慢性前列腺炎/慢性盆腔疼痛综合征（CP / CPPS）的机制基础。在这里，我们提出了一种表型系统，该系统弥合了目前基于症状的诊断和治疗与未来的机械方法之间的差距。我们的表型分析系统将慢性前列腺炎协作研究网络（CPCRN）推荐的算法与NIH慢性前列腺炎症状指数（NIH-CPSI）结合起来，作为诊断的基础，同时纳入了用于CP / CPPS患者定量评估和分层的新领域。我们相信，这个新颖的系统将有助于增进我们对患者基因组和蛋白质组在CP / CPPS病因中的作用的了解。我们预测，随着我们开始了解CP / CPPS病理学和进展的机制基础，我们将开发旨在治愈该疾病的特定治疗方法，而不仅仅是消除症状。

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