Searchable abstracts of presentations at key conferences in endocrinology

ea0065p217 | Metabolism and Obesity | SFEBES2019

A novel method for analysis of 11 oestrogens using high-throughput liquid chromatography tandem mass spectrometry

Gilligan Lorna , Goymer Lauren , Toor Harjeavon , Cox Grace , Shaheen Fozia , Arlt Wiebke , Taylor Angela

Oestrogen quantification in serum is challenging as concentrations are low, especially in men and post-menopausal women. Additionally, oestrogens do not ionise readily and structure similarities can lead to cross-reactivity and reduced specificity, especially with immunoassay. Full characterisation of oestrogen metabolism and its role in disease progression has therefore not been fully investigated. We aimed to develop and validate a liquid chromatography mass spectrometry met...

ea0065p229 | Metabolism and Obesity | SFEBES2019

Steroid deconjugation by helix pomatia – can we overcome snail speed?

Shaheen Fozia , Gilligan Lorna , Berner Camila , Callejas Jose Luis , Shackleton Cedric , Arlt Wiebke , Taylor Angela

Gas chromatography–mass spectrometry (GC–MS) has been used for urinary steroid analysis for over 50 years. The process of hydrolysis to release steroids from their conjugates is routinely performed using commercially available snail Helix-Pomatia sulfatase (HP). However, as this is a naturally occurring enzyme its production process results in batch variation and so each batch requires experimental validation to adjust for the difference in efficiency of the enzymati...

ea0094p1 | Adrenal and Cardiovascular | SFEBES2023

Urinary steroid profiling by ultra-high-performance liquid-chromatography tandem mass spectrometry: Method Validation and comparison to GC-MS

Shaheen Fozia , Sayda Mariwan , Gilligan Lorna , Prete Alessandro , Arlt Wiebke , Taylor Angela

Gas chromatography mass spectrometry (GC-MS) is the gold standard for urinary steroid profiling. Our established GC-MS method quantifies mineralocorticoids, glucocorticoids, and androgens. GC-MS assays require chemical derivatisation and long run times, rendering them unsuitable for high-throughput analysis. Our aim was to develop and validate a high-throughput urinary steroid profiling method using ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-LC...

ea0077p55 | Metabolism, Obesity and Diabetes | SFEBES2021

A novel approach to serum multi-steroid profiling using ultra high-performance liquid chromatography-tandem mass spectrometry with post column infusion ammonium fluoride

Shaheen Fozia , Gilligan Lorna , Schiffer Lina , Storbeck Karl-Heinz , Hawley James , Keevil Brian , Arlt Wiebke , Taylor Angela

Comprehensive multi-steroid profiling offers a powerful tool for the investigation, diagnosis and management of steroidogenic disorders by simultaneously quantifying multiple steroids from several pathways of steroid biosynthesis and metabolism. Difficulties can arise when optimising chromatography and mass spectrometry conditions for many analytes in a single method. Low concentrations of ammonium fluoride have previously been shown to enhance the sensitivity of select analyt...

ea0081p27 | Adrenal and Cardiovascular Endocrinology | ECE2022

Multiplex serum steroid profiling using liquid chromatography mass spectrometry with post column infusion ammonium fluoride

Schiffer Lina , Shaheen Fozia , Gilligan Lorna , Storbeck Karl , Hawley James M , Keevil Brian , Arlt Wiebke , Taylor Angela

Background: Development of multi-steroid profiling allows comprehensive investigation into the different branches of steroid metabolism. Immunoassays only allow analysis of a single steroid per assay and suffer from problems with specificity due to cross reactivity of similar steroids. Liquid-chromatography mass spectrometry has the specificity to analyse multiple steroids in a single experiment and the dynamic range to quantify steroids at high concentrations such as those ob...

ea0086oc5.3 | Metabolism, Obesity and Diabetes | SFEBES2022

Normothermic machine liver perfusion as a tool to study human androgen metabolism

Anthony Amarah , Clarke George , Schiffer Lina , Fan Yiyu , Hawley James , Shaheen Fozia , Hann Angus , Taylor Angela , Afford Simon , Arlt Wiebke

Background: In women, androgen excess is associated with an increased risk of non-alcoholic fatty liver disease (NAFLD). Androgen precursors are released from the adrenal gland and converted to active androgens in peripheral tissues including adipose tissue. Although the liver plays a key role in all metabolic processes in the body, its involvement in androgen metabolism is yet to be explored. Here, we describe the investigation of androgen metabolism in human liver using norm...

ea0081oc13.4 | Oral Communications 13: Adrenal and Cardiovascular Endocrinology 2 | ECE2022

Classic and 11-oxygenated androgens in serum and saliva across adulthood and the menstrual cycle – a mass spectrometry-based cross-sectional study

Kempegowda Punith , Schiffer Lina , Adaway Jo , Shaheen Fozia , Ebbehoj Andreas , Singh Sumitabh , Prete Alessandro , Hawley James M , Sitch Alice J , Keevil Brian , Bancos Irina , Taylor Angela , Arlt Wiebke

Objective: Quantify classic and 11-oxygenated androgens in serum and saliva and determine variations across age, sex, body mass index (BMI), menstruation and hormonal contraception use.Methods: Morning serum samples were collected from 292 healthy volunteers (125 men, 22-95 years; 167 women, 21-91 years). Morning saliva was collected from 83 healthy volunteers (51 women, 32 men). 25 individuals (12 women, 13 men) also collected a 7-timepoint diurnal sali...

ea0081ep129 | Adrenal and Cardiovascular Endocrinology | ECE2022

Altered steroid metabolism in patients following severe trauma: the golden hour study

Bentley Conor , Hazeldine Jon , Bravo Laura , Taylor Angela , Gilligan Lorna , Shaheen Fozia , Acharjee Animesh , Gkoutos Georgios V , Foster Mark , Arlt Wiebke , Lord Janet

Background: Advancements in medical care have significantly improved survival after major traumatic injury and the main risks are now sepsis and multi-organ failure. An understanding of the hormonal, inflammatory and metabolic changes that occur following trauma is still evolving but it is clear that they impact significantly upon patient prognosis. To date, studies that have examined trauma-induced changes in steroid metabolism have analysed samples taken from patients post-h...

ea0077p137 | Adrenal and Cardiovascular | SFEBES2021

Classic and 11-oxygenated androgens in serum and saliva across adulthood and the menstrual cycle – a mass spectrometry-based cross-sectional study

Schiffer Lina , Kempegowda Punith , Adaway Joanne E , Shaheen Fozia , Ebbehoj Andreas , Singh Sumitabh , Prete Alessandro , Hawley James , Sitch Alice J. , Keevil Brian G. , Bancos Irina , Taylor Angela E. , Arlt Wiebke

Background: The gonads are the major source of classic androgens during reproductive years. Additionally, the adrenal gland produces precursors for both classic and 11-oxygenated androgen biosynthesis, with androgen activation predominantly occurring in peripheral target tissues of androgen action. We used liquid chromatography-tandem mass spectrometry to profile classic and 11-oxygenated androgens in serum and saliva across the adult age range and assessed diurnal as well as ...

ea0081p386 | Endocrine-Related Cancer | ECE2022

Urinary steroid metabolomics for adrenocortical cancer diagnosis. Comparison of gas chromatography mass spectrometry to liquid chromatography mass spectrometry

Taylor Angela , Bancos Irina , Gilligan Lorna , van Veen Rick , Chortis Vasileios , Shaheen Fozia , Jenkinson Carl , O'Neil Donna M , Hughes Beverly , Hawley James M , Keevil Brian , Shackelton Cedric H L , Deeks Jonathan , Sitch Alice J , Biehl Michael , Arlt Wiebke

Introduction: Gas chromatography mass spectrometry (GC-MS) is the gold standard method for urinary steroid profiling. However, GC-MS requires chemical derivatisation, long run times, is labour intensive, expensive, and unsuitable for rapid multi-sample analysis, limiting its use in routine clinical practice. GC-MS urinary steroid metabolomics, the combination of steroid profiling and machine learning (Generalized Matrix Learning Vector Quantization) was shown to have superior ...