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ESSIC 2 型间质性膀胱炎/膀胱疼痛综合征和伴有新型诊断算法的过度活动膀胱中的尿生物标志物。

Urine biomarkers in ESSIC type 2 interstitial cystitis/bladder pain syndrome and overactive bladder with developing a novel diagnostic algorithm.

机构信息

Department of Urology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, 707, Section 3, Chung Yang Road, Hualien, Taiwan.

Department of Pathology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan.

出版信息

Sci Rep. 2021 Jan 13;11(1):914. doi: 10.1038/s41598-020-80131-5.

Abstract

This study aimed to investigate the diagnostic values of urine cytokines in interstitial cystitis/bladder pain syndrome (IC/BPS) and overactive bladder (OAB) patients, and to develop a novel diagnostic algorithm. Urine samples were collected from 40 IC/BPS, 40 OAB patients, and 30 controls. Commercially available multiplex immunoassays were used to analyze 31 targeted cytokines. Urine cytokine profiles were significantly different among study groups and controls. MIP-1β showed the highest sensitivity (92.2%) for identifying diseased study patients from controls. The cytokines with high diagnostic values for distinguishing between IC and OAB included IL-10, RANTES, eotaxin, CXCL10, IL-12p70, NGF, IL-6, IL-17A, MCP-1, and IL-1RA. The diagnostic algorithm was subsequently developed according to the diagnostic values obtained. MIP-1β was selected for the initial screening test to diagnose diseased patients and controls with diagnostic rates of 81.6% and 68.4%, respectively. As confirmation tests for IC/BPS, the diagnostic rates of eotaxin, CXCL10, and RANTES were 73.3%, 72.7%, and 69.7%, respectively. As the confirmation test for OAB, the diagnostic rate of IL-10 was 60%. Urine cytokine profiles of IC/BPS and OAB patients differed from those of controls and might be useful as biomarkers for diagnosis. A novel pilot diagnostic algorithm was developed based on these profiles.

摘要

本研究旨在探讨尿细胞因子在间质性膀胱炎/膀胱疼痛综合征(IC/BPS)和膀胱过度活动症(OAB)患者中的诊断价值,并建立一种新的诊断算法。收集了 40 例 IC/BPS、40 例 OAB 患者和 30 例对照者的尿液样本。采用商业上可获得的多重免疫分析方法分析了 31 种靶向细胞因子。研究组与对照组之间的尿细胞因子谱有显著差异。MIP-1β 对识别患病研究患者与对照组具有最高的敏感性(92.2%)。区分 IC 和 OAB 的高诊断价值的细胞因子包括 IL-10、RANTES、嗜酸性粒细胞趋化因子、CXCL10、IL-12p70、NGF、IL-6、IL-17A、MCP-1 和 IL-1RA。根据获得的诊断值,随后开发了诊断算法。MIP-1β 被选为初始筛选试验,以诊断患病患者和对照组,诊断率分别为 81.6%和 68.4%。作为 IC/BPS 的确认试验,嗜酸性粒细胞趋化因子、CXCL10 和 RANTES 的诊断率分别为 73.3%、72.7%和 69.7%。作为 OAB 的确认试验,IL-10 的诊断率为 60%。IC/BPS 和 OAB 患者的尿细胞因子谱与对照组不同,可能作为诊断的生物标志物。根据这些谱图建立了一种新的诊断算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9c/7806856/8212f1a73267/41598_2020_80131_Fig1_HTML.jpg

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