Endocrine Abstracts

Introduction: Interleukin 18 (IL-18) is a proinflammatory and proatherogenic cytokine which is associated with obesity, insulin resistance and cardiovascular disease. It is supposed that insulin has anti-inflammatory action. The aim of the present study was to estimate serum IL-18 concentration in young healthy population, its regulation by hyperinsulinemia and relationship with insulin sensitivity and glucose and lipid oxidation.Methods: We studied 36 h...

Introduction: Numerous studies indicate an association between low-grade chronic inflammation and predisposition to type 2 diabetes and atherosclerosis. IL12 is a proinflammatory cytokine with proatherogenic properties. IL12 is a disulfide-linked, 70 kDa (p70) heterodimeric glycoprotein composed of a 40 kDa (p40) subunit and a 35 kDa (p35) subunit. Many data reported higher levels of p40 subunit than total IL12. The aim of the present study was to investigate the influence of ...

Introduction: A high prevalence of polycystic ovary syndrome (PCOS) and hyperandrogenism has been described in adult women with type 1 diabetes mellitus (T1DM). Anti-Müllerian hormone (AMH) is secreted by granulosa cells of antral ovarian follicles and its plasma concentration is correlated with the number of small antral follicles. AMH levels are increased in women with PCOS and higher plasma concentration has been observed in prepubertal girls with T1DM. The aim of this...

Introduction: Anorexia nervosa (AN) is an eating disorder, resulting in sustained low weight and marked decrease in fat mass. Interleukin 6 (IL-6) may play a role in appetite, energy expenditure and body weight control in central nervous system. IL-6 acts through binding with membrane receptor (IL-6R) and activates glycoprotein 130 (gp130) signaling. Both IL-6R and gp130 are present in the blood in the soluble forms (sIL-6R and sgp130, respectively). sIL-6R sensitizes cells to...

We apply the oligonucleotide microarray technology to study the expression profile of differentiated thyroid cancer (DTC) and to select transcripts which differentiate between its subclasses. We use state-of-the-art bioinformatic techniques, based on Support Vector Machines algorithms, to select not only the single ‘solitary’ markers but rather the sets of genes which are taken into account cooperatively to enhance the diagnosis accuracy. Simultaneously, we try to me...