Cortisol quantification in human plasma and urine by liquid chromatography coupled to mass spectrometry: Validation, analysis and application in a reference population and patients with adrenal incidentalomas

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2024-11-16 DOI:10.1016/j.cca.2024.120055
Andressa Cristina dos Santos Marques , Bruna Brito , Jéssica Gorett Brito Fontes , Gabriel Reis Alves Carneiro , João Felipe Dickson Rebelo , Aline Barbosa Moraes , Leonardo Vieira Neto , Monica Costa Padilha
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Abstract

Cortisol is a glucocorticoid hormone, which is involved in cardiovascular, metabolic, inflammatory and behavioral processes in the human body. Immunoassays, used for routine analysis of analytes, usually lead to erroneous quantification due to the low specificity of these methods. In this study, we developed LC-MS/MS methods with surrogating matrices for evaluating cortisol in both urine and plasma samples and validated them according to Brazilian Health Regulatory Agency guidelines. Urine samples were prepared with an enzymatic hydrolysis stage, followed by a solid-phase extraction (C18 cartridges) using dichloromethane:methanol 9:1 as elution solvent. Plasma samples were prepared by protein precipitation with acetonitrile, using 50 μL of sample. HPLC was performed using a C8 column under 300 mL min−1 flow gradient conditions with water and methanol, both containing 5 mM ammonium formate and 0.1 % formic acid. Mass spectrometer with electrospray ionization in positive mode and selected reaction monitoring as detection technique were employed. Calibration curves were linear over a concentration range of 1–200 ng mL-1 for urine (r2 = 0.9950) and 0.5–300 ng mL-1 for plasma (r2 = 0.9970). The methods were selective, showed suitable precision, accuracy, and sensibility (limit of quantification = 0.85 ng mL−1 for urine and 0.15 ng mL−1 for plasma). Validated methods were successful applied to 22 real samples and a cohort of patients [n = 63 urines and n = 79 plasmas (from the Clementino Fraga Filho University Hospital, Rio de Janeiro, Brazil)].
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液相色谱-质谱法定量检测人体血浆和尿液中的皮质醇:在参考人群和肾上腺附带瘤患者中的验证、分析和应用。
皮质醇是一种糖皮质激素,参与人体的心血管、新陈代谢、炎症和行为过程。用于常规分析的免疫测定法由于特异性较低,通常会导致定量错误。在这项研究中,我们开发了采用替代基质的 LC-MS/MS 方法,用于评估尿液和血浆样本中的皮质醇,并根据巴西卫生监管局的指导原则进行了验证。尿液样本在酶水解阶段制备,然后用二氯甲烷:甲醇 9:1 作为洗脱溶剂进行固相萃取(C18 柱)。血浆样品用 50 μL 样品经乙腈沉淀蛋白后制备。高效液相色谱采用 C8 色谱柱,流速梯度为 300 mL min-1,水和甲醇均含有 5 mM 甲酸铵和 0.1 % 甲酸。质谱仪采用电喷雾电离正离子模式和选择反应监测检测技术。在 1-200 ng mL-1 的浓度范围内,尿液的校准曲线呈线性(r2 = 0.9950);在 0.5-300 ng mL-1 的浓度范围内,血浆的校准曲线呈线性(r2 = 0.9970)。这些方法具有选择性、适当的精密度、准确度和灵敏度(尿液的定量限为 0.85 纳克毫升-1,血浆的定量限为 0.15 纳克毫升-1)。经过验证的方法成功地应用于 22 份真实样本和一组患者[n = 63 份尿液和 n = 79 份血浆(来自巴西里约热内卢的 Clementino Fraga Filho 大学医院)]。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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