类固醇
化学
水解
尿
色谱法
代谢组学
结合
酶水解
生物化学
激素
数学分析
数学
作者
Nora Vogg,E. Jeffrey North,Arne Gessner,Felix Fels,Markus R. Heinrich,Matthias Kroiß,Max Kurlbaum,Martin Faßnacht,Martin F. Fromm
标识
DOI:10.1515/cclm-2024-1337
摘要
Abstract Objectives Urinary steroid profiling after hydrolysis of conjugates is an emerging tool to differentiate aggressive adrenocortical carcinomas (ACC) from benign adrenocortical adenomas (ACA). However, the shortcomings of deconjugation are the lack of standardized and fully validated hydrolysis protocols and the loss of information about the originally conjugated form of the steroids. This study aimed to evaluate the quality of the deconjugation process and investigate novel diagnostic biomarkers in urine without enzymatic hydrolysis. Methods 24 h urine samples from 40 patients with ACC and 40 patients with ACA were analyzed by untargeted metabolomics using liquid chromatography-high-resolution mass spectrometry both unmodified and after hydrolysis with arylsulfatase/glucuronidase from Helix pomatia. Both approaches were compared regarding the differentiation of ACC vs. ACA via ROC analyses and to evaluate the hydrolyzation efficiency of steroid conjugates. Results Steroid glucuronides were fully deconjugated, while some disulfates and all monosulfates were still largely detectable after enzymatic hydrolysis, suggesting incomplete and variable deconjugation. In unhydrolyzed urine, steroid monosulfates showed the best differentiation between ACC and ACA (highest AUC=0.983 for C 21 H 32 O 6 S, followed by its isomer and two isomers with the molecular formula C 21 H 32 O 7 S). Moreover, several disulfates were highly abundant and increased in ACC compared to ACA. Conclusions This work highlights the limitations of hydrolyzing steroid conjugates before analysis and shows a possible superiority of a direct analysis approach compared to a hydrolysis approach from a methodological point of view and regarding diagnostic accuracy. Several steroid conjugates were found as promising diagnostic biomarkers for differentiation between ACC and ACA.
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