Steroid Metabolome Analysis in Disorders of Adrenal Steroid Biosynthesis and Metabolism

التفاصيل البيبلوغرافية
العنوان: Steroid Metabolome Analysis in Disorders of Adrenal Steroid Biosynthesis and Metabolism
المؤلفون: Lorna C Gilligan, Wiebke Arlt, Vasileios Chortis, Karl-Heinz Storbeck, Jan Idkowiak, Lina Schiffer, Cedric H. L. Shackleton, Angela E Taylor, Elizabeth S. Baranowski, Lise Barnard, Alessandro Prete
المصدر: Endocrine Reviews
بيانات النشر: The Endocrine Society, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 0301 basic medicine, Steroid Metabolism, Inborn Errors, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Adrenal Gland Diseases, Prognostic prediction, Reviews, 030209 endocrinology & metabolism, Computational biology, Steroid biosynthesis, Steroid, Diagnosis, Differential, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Endocrinology, Metabolomics, Adrenal steroid, Biosynthesis, Metabolome, medicine, Humans, Adrenal, business.industry, Metabolism, 3. Good health, 030104 developmental biology, chemistry, business
الوصف: 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.
تدمد: 1945-7189
0163-769X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de17644dc4dac8b9de3f52383593d0a6Test
https://doi.org/10.1210/er.2018-00262Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....de17644dc4dac8b9de3f52383593d0a6
قاعدة البيانات: OpenAIRE