Hypoparathyroidism, deafness and renal dysplasia (HDR) syndrome is a rare genetic disorder caused by haploinsufficiency of the GATA3 gene. A very limited number of cases have been reported in the literature to date. Diagnosis is challenging as the phenotypic expression has wide heterogeneity due to variable penetrance of the underlying genetic mutation. Although the condition is inherited in an autosomal dominant pattern, sporadic cases do occur. This report presents a case of a 22-year-old female diagnosed with HDR syndrome, featuring bilateral cataract and bicornuate uterus. The GATA3 mutation detected in the patient was not identified in the family, suggesting it to be arising de novo. The present case report describes the rare phenotypic findings of bilateral cataract and bicornuate uterus associated with HDR, thus expanding the clinical spectrum of the syndrome.

Diabetes and cancer are two chronic metabolic diseases with ever-increasing incidence rates worldwide. These disorders can often occur together, as diabetes presents an important risk factor for cancer and some cancers could in turn lead to diabetes. In this perspective article, many more commonalities between diabetes and cancer are highlighted, including the role of lifestyle and environmental factors in the pathogenesis, the presence of a rather long latency period before clinical diagnosis of invasive disease, as well as the ultimate progression to diabetic complications or malignant metastases. Moreover, both of these devastating disorders still lack curative treatment options, whereas several currently approved antidiabetic and anticancer drugs have been originally derived from different natural sources. However, while in the case of diabetes, the main therapeutic goal is to maintain the pancreatic islet mass by preserving β-cells survival, the major purpose of cancer therapy is to kill malignant cells and reduce the neoplastic mass of solid tumors. It is expected that both diabetes and cancer, two systemic diseases with epidemic proportions, would be managed more effectively through an integral approach, considering many different aspects related to their pathogenesis, including also lifestyle changes and dietary modifications.

Artificial intelligence (AI) has gained attention for various reasons in recent years, surrounded by speculation, concerns, and expectations. Despite being developed since 1960, its widespread application took several decades due to limited computing power. Today, engineers continually improve system capabilities, enabling AI to handle more complex tasks. Fields like diagnostics and biology benefit from AI’s expansion, as the data they deal with requires sophisticated analysis beyond human capacity. This review showcases AI’s integration in endocrinology, covering molecular to phenotypic patient data. These examples demonstrate AI’s potential and power in research and medicine.

For the past 100 years, insulin supplementation has been the mainstay of treatment for type 1 diabetes (T1D), which is characterized by progressive autoimmune-mediated loss of insulin-producing β cells in the islets of Langerhans over the last decades, technological advances in glucose monitoring and therapeutics have greatly improved the care and management of these patients. However, morbidity, mortality, and quality of life remain challenges for patients with T1D. Islet transplantation has been successfully performed, but there are several limiting factors, such as the lack of cadaveric donors and the need for lifelong immunosuppressive therapy. Therefore, there is a great medical need for alternative therapeutic approaches. In the current review, the current knowledge on novel approaches for the treatment of T1D with a focus on the potential of using chimeric antigen receptor (CAR)-T cells and natural killer (NK) cells is summarized.