Szirmay Balázs, Kustán Péter, Horváth-Szalai Zoltán, Ludány Andrea, Lakatos Ágnes, Mühl Diána, Wittmann István, Miseta Attila, Kovács Gábor L, Kőszegi Tamás
Department of Laboratory Medicine, University of Pécs Medical School, 7624 Pécs, Ifjúság u. 13, Hungary.
Department of Anaesthesiology & Intensive Therapy, University of Pécs Medical School, 7624 Pécs, Ifjúság u. 13, Hungary.
Bioanalysis. 2018 Mar 1;10(6):377-384. doi: 10.4155/bio-2017-0228. Epub 2018 Feb 16.
There is no commercially available urinary cystatin-C (u-CYSC) test in the market. Therefore, we optimized and validated an automated immune turbidimetric test for u-CYSC measurements and investigated u-CYSC concentrations in acute and chronic diseases which might lead to renal tubular disorders.
MATERIALS & METHODS: A particle-enhanced immune turbidimetric assay was adapted and validated on a Cobas 8000/c502 analyzer. Urine samples of different patient groups were also analyzed.
Our method showed excellent analytical performance. U-CYSC/u-creatinine (u-CREAT) was higher in sepsis-related acute kidney injury group (p < 0.001) compared with controls and to patients with chronic hypertension and Type 2 diabetes.
We validated a fast, sensitive, fully automated u-CYSC assay which is ideal for routine use and might be a potential complementary laboratory test to evaluate renal tubular function.
市场上尚无商业化的尿胱抑素-C(u-CYSC)检测方法。因此,我们优化并验证了一种用于u-CYSC测量的自动化免疫比浊法,并研究了可能导致肾小管疾病的急慢性疾病中的u-CYSC浓度。
在Cobas 8000/c502分析仪上采用并验证了一种颗粒增强免疫比浊法。还对不同患者组的尿液样本进行了分析。
我们的方法显示出优异的分析性能。与对照组以及慢性高血压和2型糖尿病患者相比,脓毒症相关急性肾损伤组的U-CYSC/尿肌酐(u-CREAT)更高(p < 0.001)。
我们验证了一种快速、灵敏、全自动的u-CYSC检测方法,该方法非常适合常规使用,可能是评估肾小管功能的一种潜在补充实验室检测方法。