The Emerging Role of Copeptin.

Q1 Biochemistry, Genetics and Molecular Biology Clinical Biochemist Reviews Pub Date : 2021-02-01 DOI:10.33176/AACB-20-00001
R Jalleh, D J Torpy
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引用次数: 5

Abstract

Direct measurement of the nonapeptide vasopressin has been limited by analyte instability ex vivo and in vivo rapid degradation, low serum concentrations requiring a sensitive assay and inherent secretory pulsatility. Copeptin is a 39 amino acid glycopeptide cleavage product of vasopressin synthesis with high stability, providing a marker of vasopressin secretion. Copeptin measurement has applications in diagnosis of diabetes insipidus and other diseases with altered vasopressin secretion. This review summarises our current understanding of serum copeptin measurement in diabetes insipidus and possible future applications of copeptin assays. As vasopressin is a stress hormone, there is emerging evidence on the use of copeptin for diagnosis and prognostication of disorders such as syndrome of inappropriate anti-diuretic hormone secretion, diabetes mellitus, critical illness, stroke, cardiovascular disease, respiratory disease, renal disease and thermal stress. Copeptin concentration measurement is likely to improve the diagnostic reliability of diabetes insipidus and, as a marker of stress, may have diagnostic or prognostic utility in specific clinical circumstances. Further studies are needed to determine if goal-directed therapy using plasma copeptin concentrations may improve patient outcomes.

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Copeptin的新作用。
非肽类抗利尿激素的直接测量受到分析物的不稳定性、体内和体外快速降解、低血清浓度(需要灵敏的测定)和固有的分泌脉动性的限制。Copeptin是一种含有39个氨基酸的抗利尿激素合成的糖肽裂解产物,稳定性高,是抗利尿激素分泌的标志物。Copeptin测定在尿崩症及其他加压素分泌改变疾病的诊断中具有应用价值。本文综述了我们目前对尿尿症患者血清copeptin测定的理解以及copeptin测定在未来可能的应用。由于抗利尿激素是一种应激激素,越来越多的证据表明,copeptin可用于诊断和预测疾病,如抗利尿激素分泌不当综合征、糖尿病、危重疾病、中风、心血管疾病、呼吸系统疾病、肾脏疾病和热应激。Copeptin浓度测量可能提高尿崩症诊断的可靠性,并且作为应激标志物,在特定临床情况下可能具有诊断或预后效用。需要进一步的研究来确定使用血浆copeptin浓度的目标导向治疗是否可以改善患者的预后。
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来源期刊
Clinical Biochemist Reviews
Clinical Biochemist Reviews Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
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