Endocrine Abstracts

Autoimmune polyglandular syndrome type 2 can be associated with alopecia areata. We present herein a case of a female patient, 42 years old, who suffered from autoimmune thyroid disease with hypothyroidism and autoimmune adrenalitis and who was recently diagnosed with alopecia areata. She accused sudden, asymptomatic hair loss, which she noticed 3 months ago, accompanied by a burning sensation in her scalp. Her menstrual cycles were normal. The clinical examination identified ...

Background: Hashimoto’s thyroiditis (HT) is the most common autoimmune disorder and, also, the leading cause of hypothyroidism in iodine-sufficient areas. In recent years, a concept emerged, that thyroid autoimmunity could be associated with low-grade chronic inflammation, which may result in future cardiovascular comorbidities, independent of thyroid function. It is therefore essential to diagnose Hashimoto’s thyroiditis as early as possible and to test for thyroid ...

Introduction: X-linked hypophosphatemic rickets (XLH) is a very rare cause of growth deficiency that can be diagnosed even in adulthood. The mutation of the PHEX gene in these patients causes higher levels of FGF-23 and hypophosphatemia.Case presentation: A 20-year-old male patient was admitted into our clinic due to short stature, walking difficulties, joint and muscle pain, predominantly in the lower limbs. He described the presence of symptoms since c...

Background: The role of EGFR, HER2, PDGF-A and the axis PDGF-B/ PDGFR-β in the pathogenesis of pituitary adenomas and their correlation with the tumoral immunoprofile are poorly understood.Materials and methods: The study included 92 cases. We used morphological stains, immunohistochemistry and molecular methods to characterize the tumors.Results: 33.33% of adenomas showed a positive immunohistochemical reaction for HER2- with...

Pituitary tumors usually have an excellent prognosis after targeted treatment involving surgery, radiotherapy and medical therapy. Metabolic abnormalities are encountered in 22.3-52.5% of pituitary adenoma patients and are correlated with disease progression and prognosis. Therefore, in this study, we propose an artificial intelligence system for estimating the improvement of clinical and paraclinical parameters for patients undergoing therapy. The patient cohort is made out o...