Searchable abstracts of presentations at key conferences in endocrinology

ea0044p40 | Adrenal and Steroids | SFEBES2016

Steroid metabolomics for diagnosis of inborn steroidogenic disorders – bridging the gap between clinician and scientist through computational approaches

Baranowski Elizabeth , Bunte Kerstin , Shackleton Cedric , Taylor Angela , Hughes Beverley , Biehl Michael , Tino Peter , Guran Tulay , Arlt Wiebke

Background: The urinary steroid metabolome is considered the fingerprint of adrenal gland function. Novel methods using mass spectrometry profiling have seen the advent of a new era for metabolomics with powerful implications for both diagnostics and discovery. Its interpretation is difficult and performed by few specialists with the expertise to do so. This makes it a relatively inaccessible tool for the majority of Clinical Endocrinologists.Objective: ...

ea0049oc1.3 | Adrenal-Basic & Clinical | ECE2017

Steroid metabolomics for accurate and rapid diagnosis of inborn steroidogenic disorders

Baranowski Elizabeth , Bunte Kerstin , Shackleton Cedric H L , Taylor Angela E , Hughes Beverley A , Biehl Michael , Tino Peter , Guran Tulay , Arlt Wiebke

Background: Urinary steroid metabolite profiling is an accurate reflection of adrenal and gonadal steroid output and metabolism in peripheral target cells of steroid action. Measurement of steroid metabolite excretion by gas chromatography-–mass spectrometry (GC–MS) is considered reference standard for biochemical diagnosis of steroidogenic disorders. However, performance of GC–MS analysis and interpretation of the resulting data requires significant expertise a...

ea0063oc10.1 | Adrenal 2 | ECE2019

Steroid metabolomics: a rapid computational approach for accurate differentiation of inborn disorders of steroidogenesis

Baranowski Elizabeth S , Ghosh Sreejita , Shackleton Cedric HL , Taylor Angela E , Hughes Beverly A , Gilligan Lorna C , Utari Agustini , Faradz Sultana MH , van Herwaarden Antonius E , Claahsen-van der Grinten Hedi L , Biehl Michael , Guran Tulay , Bunte Kerstin , Tino Peter , Arlt Wiebke

Background: Measurement of steroid metabolite excretion in urine by gas chromatography-mass spectrometry (GC-MS) provides a comprehensive profile of an individual’s adrenal and gonadal steroid production. It has long been acknowledged as a useful tool for diagnosis of inborn disorders of steroidogenesis leading to congenital adrenal hyperplasia and disorders of sex development. Ratios of steroid metabolites can be employed as surrogates for enzymatic activities of distinc...

ea0094oc5.1 | Adrenal and Cardiovascular | SFEBES2023

Urine steroid metabolomics as a diagnostic tool in endocrine hypertension

Prete Alessandro , Abdi Lida , Suntornlohanakul Onnicha , Lang Katharina , Riancho Julien , Lazkani Aida , Larsen Casper K. , Gimenez-Roqueplo Anne-Paule , Pecori Alessio , Tetti Martina , Monticone Silvia , Muller Lisa M. , Adolf Christian , Timmers Henri J.L.M. , Hampson Stephanie , Eisenhofer Graeme , Ceccato Filippo , Beuschlein Felix , Kabat Marek , Bertherat Jerome , Dennedy Conall , Davies Eleanor , Deinum Jaap , Reincke Martin , Paolo Rossi Gian , Mulatero Paolo , Amar Laurence , Zennaro Maria-Christina , Sitch Alice J. , Tino Peter , Biehl Michael , Taylor Angela E. , Arlt Wiebke

Background: Hypertension affects more than 30% of the adult population worldwide and is a major cardiovascular risk factor. Identifying secondary causes of hypertension is key to offering targeted treatment and mitigating adverse health outcomes. We tested the performance of urine steroid metabolomics (USM), the computational analysis of 24-hour urine steroid metabolome data by machine learning, for diagnosing endocrine hypertension.<str...

ea0086oc4.4 | Adrenal and Cardiovascular | SFEBES2022

Steroid and global metabolome in benign adrenal tumours with mild autonomous cortisol secretion: analysis by mass spectrometry and machine learning to understand metabolic risk

Prete Alessandro , Abdi Lida , Canducci Marco , Taylor Angela E. , Bancos Irina , Gilligan Lorna C. , Jenkinson Carl , Albors-Zumel Ariadna , van den Brandhof Elina , Zhang Yuanqing , Chortis Vasileios , Tsagarakis Stylianos , Lang Katharina , Macech Magdalena , Delivanis Danae A. , Pupovac Ivana D. , Reimondo Giuseppe , Marina Ljiljana V. , Deutschbein Timo , Balomenaki Maria , O'Reilly Michael W. , Bednarczuk Tomasz , Zhang Catherine D. , Dusek Tina , Diamantopoulos Aristidis , Asia Miriam , Kondracka Agnieszka , Li Dingfeng , Masjkur Jimmy R. , Quinkler Marcus , Ueland Grethe AE. , Conall Dennedy M. , Beuschlein Felix , Tabarin Antoine , Fassnacht Martin , Ivovic Miomira , Terzolo Massimo , Kastelan Darko , Young Jr William F. , Manolopoulos Konstantinos M. , Ambroziak Urszula , Vassiliadi Dimitra A. , Sitch Alice J. , Tino Peter , Biehl Michael , Dunn Warwick B. , Arlt Wiebke

Background: Benign adrenal tumours are found in 3-10% of adults and can be non-functioning (NFAT) or associated with adrenal hormone excess. Analysing 1305 prospectively recruited patients with benign adrenal tumours, we recently demonstrated that 45% had mild autonomous cortisol secretion (MACS), i.e. biochemical cortisol excess without signs of Cushing’s syndrome (CS). MACS increases the prevalence and severity of hypertension and type 2 diabetes (Ann Int Med. 2022 Doi:...