Suitability evaluation of new endogenous biomarkers for the identification of nitrite‐based urine adulteration in mass spectrometry methods

化学 色谱法 尿 质谱法 生物标志物 蛋白质沉淀 液相色谱-质谱法 检出限 亚硝酸盐 掺假者 生物化学 有机化学 硝酸盐
作者
Andrea E. Steuer,Kim Arnold,Dominique Kamber,Thomas Kræmer
出处
期刊:Drug Testing and Analysis [Wiley]
卷期号:11 (2): 230-239 被引量:11
标识
DOI:10.1002/dta.2481
摘要

Abstract Urine adulteration to circumvent positive drug testing is a fundamental challenge for toxicological laboratories all over the world. Untargeted mass spectrometry (MS) methods used in metabolomics had previously revealed uric acid (UA), histidine, methylhistidine, and their oxidation products, for example 5‐hydroxyisourate (HIU) as potential biomarkers for urine adulteration using potassium nitrite (KNO 2 ). These markers should be further evaluated for their reliability, stability, and routine applicability. Influence of KNO 2 concentration, urinary pH, reaction time, and stability at room temperature, 4°C, and − 20°C was determined in urine under varying conditions. Analysis was performed after protein precipitation with acetonitrile by liquid chromatography–high resolution mass spectrometry (LC–HRMS). Receiver operating characteristics (ROC) analysis was applied for cut‐off evaluation after biomarker quantification ( n = 100 per group). Blinded measurements ( n = 50) were performed to check the general applicability to identify adulterated samples under routine conditions. The higher the adulterant concentration, the lower the concentrations of histidine, methylhistidine, and UA. In return, amounts of their oxidation products increased. Highest changes were observed under weak acid conditions (pH 4–5). Storage at −20°C ensured sufficient stability for all oxidative markers over one month. ROC evaluated biomarker performance and application to unknown samples revealed satisfying results, with HIU as the most suitable biomarker (positive predictive value (PPV) 100%), followed by UA (PPV 93%). HIU and UA proved suitable markers to identify urine adulteration using KNO 2 and are ready for implementation into routine MS procedures.
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