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Urinary proteomics and metabolomics studies to monitor bladder health and urological diseases

机译:泌尿蛋白质组学和代谢组学研究以监测膀胱健康和泌尿系统疾病

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Background Assays of molecular biomarkers in urine are non-invasive compared to other body fluids and can be easily repeated. Based on the hypothesis that the secreted markers from the diseased organs may locally release into the body fluid in the vicinity of the injury, urine-based assays have been considered beneficial to monitoring bladder health and urological diseases. The urine proteome is much less complex than the serum and tissues, but nevertheless can contain biomarkers for diagnosis and prognosis of diseases. The urine metabolome has a much higher number and concentration of low-molecular metabolites than the serum or tissues, with a far lower lipid concentration, yet informs directly about dietary and microbial metabolism. Discussion We here discuss the use of mass spectrometry-based proteomics and metabolomics for urine biomarker assays, specifically with respect to the underlying mechanisms that trigger the pathological condition. Conclusion Molecular biomarker profiles, based on proteomics and metabolomics studies, reliably distinguish patients from healthy controls, stratify sub-populations with respect to treatment options, and predict therapeutic response of patients with urological disease.
机译:背景技术与其他体液相比,尿液中分子生物标志物的测定是非侵入性的,可以轻松重复。基于从患病器官分泌的标记物可能会在损伤附近局部释放到体液的假设,基于尿液的分析被认为对监测膀胱健康和泌尿系统疾病有益。尿蛋白质组的复杂性远低于血清和组织,但仍可以包含用于疾病诊断和预后的生物标志物。尿液代谢组的低分子代谢物的数量和浓度要比血清或组织高得多,脂类浓度要低得多,但直接影响饮食和微生物的代谢。讨论我们在这里讨论基于质谱的蛋白质组学和代谢组学在尿液生物标志物测定中的用途,特别是关于触发病理状况的潜在机制。结论基于蛋白质组学和代谢组学研究的分子生物标志物谱可靠地将患者与健康对照区分开,就治疗选择而言将亚人群分层,并预测泌尿系统疾病患者的治疗反应。

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