Searchable abstracts of presentations at key conferences in endocrinology

ea0063p605 | Diabetes, Obesity and Metabolism 2 | ECE2019

Parabens and their relationship to obesity

Šramkova Monika , Kolatorova Lucie , Vitků Jana , Včelak Josef , Lischkova Olga , Starka Luboslav , Duškova Michaela

Introduction: Parabens are a group of chemicals used as preservatives in the food, cosmetic and pharmaceutical industries. They are known to possess estrogenic effects, and therefore have been classified as endocrine disruptors. In addition to the classical endocrine organs, other tissues have endocrine activity, including adipose tissue. Several chemicals are known to cause obesogenic effects, and parabens are currently being studied in this context. The aim of this study was...

ea0049ep1143 | Female Reproduction | ECE2017

Physiological changes of adipokines and selected steroids during the menstrual cycle

Šramkova Monika , Duškova Michaela , Vitků Jana , Včelak Josef , Matucha Petr , Bradnova Olga , Cordeiro Jose , Starka Luboslav

Context: The cyclical effects of hormones during the menstrual cycle (MC) are responsible for driving ovulation. The information about roles of adipokines within the scope of MC are not definite. Leptin plays a role in sexual function and regulating the onset of puberty. Thin girls often fail to ovulate or release an egg from an ovary during menstruation cycles. Leptin also acts on specific receptors in the hypothalamus to inhibit appetite. Levels of leptin are increased in wo...

ea0056gp247 | Thyroid non cancer | ECE2018

Serum FT4 levels predict incidence of type 2 diabetes and cardiovascular disease in the general population

Wolffenbuttel Bruce HR , van Vliet-Ostaptchouk Jana V , van Waateringe Robert P , Wouters Hanneke JCM. , Slagter Sandra N , Graaff Reindert , van der Klauw Melanie M

Background: Skin autofluorescence (SAF), measured with the AGE-reader, predicts cardiovascular disease (CVD) and type 2 diabetes (T2D). Thyroid hormone levels (TH) may affect this association. In the present study, we examined whether TH predict 4-years risk of T2D, CVD and mortality in the general population independently of SAF.Methods: We included 28245 participants (age 44±12 years, BMI 25.9±4.3 kg/m2) of the Dutch Lifelines Coho...

ea0037gp.14.01 | Diabetes and obesity – Clinical diabetes | ECE2015

What components drive the metabolic syndrome? Results from the population-based LifeLines Cohort Study

Slagter Sandra N , Waateringe Robert P van , Wendker Marjolein , Vliet-Ostaptchouk Jana V van , Lutgers Helen L , Beek Andre P van , Klauw Melanie M van der , Wolffenbuttel Bruce H R

Background: The metabolic syndrome (MetS) is a combination of unfavourable health factors including visceral obesity, dyslipidaemia, hypertension and impaired fasting glucose. It is also strongly associated with increased risk of cardiovascular disease (CVD) and type 2 diabetes. We assessed which factors contribute to the prevalence of MetS in people within different weight and age categories.Methods: 64 046 western European participants aged 18–80 ...

ea0037gp.26.09 | Thyroid – hypothyroidism | ECE2015

No effect of Thr92Ala DIO2 polymorphisms on thyroid parameters, health-related quality of life, and cognitive functioning

Wolffenbuttel Bruce H R , van Loon Hannah C M , Elderson Martin F , van Vliet-Ostaptchouk Jana V , Wouters Hanneke J C M , Kobold Anneke Muller , Links Thera P , Slagter Sandra N , van der Klauw Melanie M

Introduction: The Thr92Ala polymorphism of deiodinase 2 (DIO2) is associated with increased expression in the brain of genes associated with oxidative stress, and may predict favourable response to combination thyroxine (L-T4) plus triiodothyronine (T3) therapy. We examined whether the Thr92Ala polymorphism (rs225014) was associated with differences in thyroid hormone parameters, health-related quality of life (HR-QOL) and cognitive functio...

ea0073aep620 | Reproductive and Developmental Endocrinology | ECE2021

Selected steroid hormones – their physiological effects and use in diagnostics and research

Duskova Michaela , Kolatorova Lucie , Šimková Markéta , ámková MonikaŠr , Malíková Maria , Horackova lenka , Jana Vítků , Starka Luboslav

The determination of steroid hormones and subsequent interpretation of results is accompanied by a range of difficulties. The amount of information that current technology can provide on the circulating concentrations of more than a hundred various steroid compounds can lead to problems with interpretation. The aim of this study is to help provide orientation in this maze of data on steroid hormones. First, we focus on specific aspects arising from the pre-analytical phase of ...