Department of Biochemistry, Stellenbosch University, Stellenbosch, South Africa.
Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Endocr Rev. 2019 Dec 1;40(6):1605-1625. doi: 10.1210/er.2018-00262.
Steroid biosynthesis and metabolism are reflected by the serum steroid metabolome and, in even more detail, by the 24-hour urine steroid metabolome, which can provide unique insights into alterations of steroid flow and output indicative of underlying conditions. Mass spectrometry-based steroid metabolome profiling has allowed for the identification of unique multisteroid signatures associated with disorders of steroid biosynthesis and metabolism that can be used for personalized approaches to diagnosis, differential diagnosis, and prognostic prediction. Additionally, steroid metabolome analysis has been used successfully as a discovery tool, for the identification of novel steroidogenic disorders and pathways as well as revealing insights into the pathophysiology of adrenal disease. Increased availability and technological advances in mass spectrometry-based methodologies have refocused attention on steroid metabolome profiling and facilitated the development of high-throughput steroid profiling methods soon to reach clinical practice. Furthermore, steroid metabolomics, the combination of mass spectrometry-based steroid analysis with machine learning-based approaches, has facilitated the development of powerful customized diagnostic approaches. In this review, we provide a comprehensive up-to-date overview of the utility of steroid metabolome analysis for the diagnosis and management of inborn disorders of steroidogenesis and autonomous adrenal steroid excess in the context of adrenal tumors.
血清类固醇代谢组学反映了类固醇的生物合成和代谢,而 24 小时尿液类固醇代谢组学则更详细地反映了这一点,它可以提供有关类固醇流量和输出变化的独特见解,这些变化表明存在潜在的疾病。基于质谱的类固醇代谢组学分析已经能够鉴定出与类固醇生物合成和代谢障碍相关的独特多类固醇特征,可用于个性化的诊断、鉴别诊断和预后预测方法。此外,类固醇代谢组分析已成功用作发现工具,用于鉴定新的类固醇生成障碍和途径,并深入了解肾上腺疾病的病理生理学。基于质谱的方法在可用性和技术上的进步,重新关注了类固醇代谢组学分析,并促进了高通量类固醇分析方法的发展,这些方法很快将应用于临床实践。此外,类固醇代谢组学(基于质谱的类固醇分析与基于机器学习的方法相结合)促进了强大的定制化诊断方法的发展。在这篇综述中,我们全面概述了类固醇代谢组学分析在诊断和管理类固醇生成障碍和自主肾上腺类固醇过多症中的应用,这些疾病涉及到肾上腺肿瘤。