A novel LC-MS/MS-based assay for the simultaneous quantification of aldosterone-related steroids in human urine

Abstract Objectives Primary aldosteronism is the most common cause of endocrine hypertension and is associated with significant cardiovascular morbidities. The diagnostic workup depends on determinations of plasma aldosterone and renin which are highly variable and associated with false-positive and false-negative results. Quantification of aldosterone in 24 h urine may provide more reliable results, but the methodology is not well established. We aimed to establish an assay for urinary aldosterone and related steroids with suitability for clinical routine implementation. Methods Here, we report on the development and validation of a quantitative LC-MS/MS method for six urinary steroids: aldosterone, cortisol, 18-hydroxycorticosterone, 18-hydroxycortisol, 18-oxocortisol, tetrahydroaldosterone. After enzymatic deconjugation, total steroids were extracted using SepPak tC18 plates and quantified in positive electrospray ionization mode on a QTRAP 6500+ mass spectrometer. Results Excellent linearity was demonstrated with R 2 >0.998 for all analytes. Extraction recoveries were 89.8–98.4 % and intra- and inter-day coefficients of variations were <6.4 and <9.0 %, establishing superb precision. Patients with primary aldosteronism (n=10) had higher mean 24 h excretions of aldosterone-related metabolites than normotensive volunteers (n=20): 3.91 (95 % CI 2.27–5.55) vs. 1.92 (1.16–2.68) µmol/mol for aldosterone/creatinine, 2.57 (1.49–3.66) vs. 0.79 (0.48–1.10) µmol/mol for 18-hydroxycorticosterone/creatinine, 37.4 (13.59–61.2) vs. 11.61 (10.24–12.98) µmol/mol for 18-hydroxycortisol/creatinine, 1.56 (0.34–2.78) vs. 0.13 (0.09–0.17) µmol/mol for 18-oxocortisol/creatinine, and 21.5 (13.4–29.6) vs. 7.21 (4.88–9.54) µmol/mol for tetrahydroaldosterone/creatinine. Conclusions The reported assay is robust and suitable for routine clinical use. First results in patient samples, though promising, require clinical validation in a larger sample set.