Diagnostic Utility of Serum and Urinary Metabolite Analysis in Patients with Interstitial Cystitis/Painful Bladder Syndrome.
Diagnostic Utility of Serum and Urinary Metabolite Analysis in Patients with Interstitial Cystitis/Painful Bladder Syndrome.
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DOI：
10.1016/j.urology.2021.05.005
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发表时间：
2021-11
期刊：
影响因子：
2.1
通讯作者：
Anger, Jennifer T.
中科院分区：
文献类型：
--
作者：
Kim, Jayoung;De Hoedt, Amanda;Wiggins, Emily;Haywood, Kelsey;Jin, Peng;Greenwood, Bennett;Narain, Niven R.;Tolstikov, Vladimir;Bussberg, Valerie;Barbour, Kamil E.;Kiebish, Michael A.;Freedland, Stephen J.;Anger, Jennifer T.
间质性膀胱炎/膀胱疼痛综合征（IC）是一种病因不明的膀胱中心性疼痛慢性综合征，对生活质量有不良影响。我们试图分析一组IC患者和非疾病对照（NC）的尿液和血清代谢组，以确定患者临床分层的可能诊断策略。在退伍军人事务（VA）卫生保健系统中收集了19名退伍军人和20名非退伍军人的血清和尿液样本。IC是通过使用既定标准对医疗记录进行彻底审查而独立诊断的。进行了综合结构脂质组学和代谢组学分析。生物统计学和生物信息学分析，包括单变量分析、无监督聚类、随机森林分析和代谢物集富集分析，用于识别潜在的IC生物标志物。代谢组学和脂质组学分析揭示了NC和IC之间不同的表达模式。尿液样本的随机森林分析表明，IC特异性的鉴别因子作为诊断标志具有很强的潜在临床价值（AUC, 0.92）。脂质组学分析显示IC和NC之间的模式有明显差异；然而，没有可识别的统计学上定义的脂质生物标志物候选物。对血清和尿液的分析显示，患有IC的女性具有不同的代谢组，突出了关键的代谢途径，可能为IC的病理生理学提供见解。本初步研究的结果表明，对尿液代谢物，嘌呤，苯丙氨酸，5-氧脯氨酸和5-羟基吲哚乙酸的综合分析可以导致有希望的IC生物标志物。目前正在使用更大的数据集验证这些结果。
Interstitial cystitis/painful bladder syndrome (IC) is a chronic syndrome of bladder-centric pain with unknown etiology that has an adverse impact on quality of life. We sought to analyze the urine and serum metabolomes of a cohort of IC patients and non-disease controls (NC) to identify possible diagnostic strategies for clinical stratification of patients. Home collection of serum and urine samples was obtained from 19 IC and 20 NC females in the Veterans Affairs (VA) Health Care System. IC was diagnosed independently by thorough review of medical records using established criteria. Integrated structural lipidomics and metabolomics analyses were conducted. Biostatistics and bioinformatics analyses, including univariate analysis, unsupervised clustering, random forest analysis, and metabolite set enrichment analysis, were utilized to identify potential IC biomarkers. Metabolomics and lipidomics profiling revealed distinct expression patterns between NC and IC. Random forest analysis of urine samples suggested discriminators specific to IC. which showed a strong potential clinical value as a diagnostic signature (AUC, 0.92). Lipidomics profiling showed a distinct difference in patterns between IC and NC; however, there were no identifiable statistically defined lipid biomarker candidates. Analysis of serum and urine revealed that women with IC have distinct metabolomes, highlighting key metabolic pathways that may provide insight into the pathophysiology of IC. The findings from this pilot study suggest that integrated analyses of urinary metabolites, purine, phenylalanine, 5-oxoproline, and 5-hydroxyindoleacetic acid, can lead to promising IC biomarkers. Validation of these results using a larger dataset is currently underway.
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DOI：
10.1111/iju.12309
发表时间：
2014-04
期刊：
International journal of urology : official journal of the Japanese Urological Association
影响因子：
--
作者：
Rosen JM;Klumpp DJ
通讯作者：
Klumpp DJ
影响因子：
--
作者：
Hsieh TF;Yu KJ;Lin SY
通讯作者：
Lin SY
影响因子：
23.4
作者：
Temml, Christian;Wehrberger, Clemens;Madersbacher, Stephan
通讯作者：
Madersbacher, Stephan
影响因子：
2.5
作者：
Warren, John W;Keay, Susan K
通讯作者：
Keay, Susan K
DOI：
10.1016/j.juro.2011.03.132
发表时间：
2011-08
期刊：
The Journal of urology
影响因子：
--
作者：
Berry SH;Elliott MN;Suttorp M;Bogart LM;Stoto MA;Eggers P;Nyberg L;Clemens JQ
通讯作者：
Clemens JQ