Searchable abstracts of presentations at key conferences in endocrinology

ea0077p52 | Metabolism, Obesity and Diabetes | SFEBES2021

How would school children design a poster about diabetes, obesity, health technologies and emotional wellbeing awareness?

Narendran Alisha , Anthony Amarah , Kelly Graham , Xavier Gabriela Da Silva , Shahzad Atif , Arlt Wiebke , Gillett Caroline DT , Kempegowda Punith

Introduction: Knowledge about end-user perceptions is important to ensure educational resources have maximal impact.Objective: To understand school children’s perceptions and ideas about three endocrine topics.Methods: This activity was done as part of Society for Endocrinology public engagement grant. Years 5 and 6 school children (aged 10-11 years) from Nonsuch Primary School in Birmingham were invited to create posters on t...

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...

ea0090oc11.2 | Oral Communications 11: Late Breaking | ECE2023

Machine learning-based steroid metabolome analysis reveals three distinct subtypes of polycystic ovary syndrome and implicates 11-oxygenated androgens as major drivers of metabolic risk

Melson Eka , Rocha Thais P. , Veen Roland J. , Abdi Lida , Mcdonnell Tara , Tandl Veronika , Hawley James M. , Wittemans Laura B.L. , Anthony Amarah V. , Gilligan Lorna C. , Shaheen Fozia , Kempegowda Punith , Gillett Caroline D.T , Cussen Leanne , Missbrenner Cornelia , Lajeunesse-Trempe Fannie , Gleeson Helena , Aled Rees D. , Robinson Lynne , Jayasena Channa , Randeva Harpal S. , Dimitriadis Georgios K. , Gomes Larissa , Sitch Alice J. , Vradi Eleni , Taylor Angela E. , O'Reilly Michael W. , Obermayer-Pietsch Barbara , Biehl Michael , Arlt Wiebke

Introduction: Polycystic ovary syndrome affects 10% of women and comes with a 2-3fold increased risk of type 2 diabetes, hypertension, and fatty liver disease. Androgen excess, a cardinal feature of PCOS, has been implicated as a major contributor to metabolic risk. Adrenal-derived 11-oxygenated androgens represent an important component of PCOS-related androgen excess and are preferentially activated in adipose tissue. We aimed to identify PCOS sub-types with distinct androge...

ea0094oc4.1 | Reproductive Endocrinology | SFEBES2023

Unsupervised steroid metabolome cluster analysis to dissect androgen excess and metabolic dysfunction in 488 women with polycystic ovary syndrome – results from the prospective DAISy-PCOS study

Melson Eka , Rocha Thais P. , Veen Roland J. , Abdi Lida , McDonnell Tara , Tandl Veronika , Hawley James M. , Wittemans Laura B. L. , Anthony Amarah V. , Gilligan Lorna C. , Shaheen Fozia , Kempegowda Punith , Gillett Caroline D.T. , Cussen Leanne , Missbrenner Cornelia , Lajeunesse-Trempe Fannie , Gleeson Helena , Rees Aled , Robinson Lynne , Jayasena Channa , Randeva Harpal S. , Dimitriadis Georgios K. , Gomes Larissa G. , J. Sitch Alice , Vradi Eleni , Obermayer-Pietsch Barbara , O'Reilly Michael W. , Taylor Angela E. , Biehl Michael , Arlt Wiebke

Introduction: Polycystic ovary syndrome (PCOS) affects 10% of women and is associated with a 2-3fold risk of type 2 diabetes (T2D), hypertension, fatty liver and cardiovascular disease. Androgen excess has been implicated as a major contributor to metabolic risk in PCOS. We aimed to identify PCOS sub-types with distinct androgen profiles and compare their cardiometabolic risk.Methods: We cross-sectionally studied 488 tre...