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.

The escalating prevalence of diabetes poses a significant health concern. Uncontrolled diabetes leads to a multitude of complications. A comprehensive management plan and continual adaptation of guidelines is needed. The American Diabetes Association (ADA) is a guiding force in this domain, providing diabetes care recommendations for clinicians, laboratorians, researchers, and policymakers since 1989. The latest ADA guidelines present both challenges and opportunities for laboratories. The increased emphasis on glycated hemoglobin (HbA1c) testing for early diagnosis and personalized monitoring is expected to increase testing volumes, potentially leading to a rise in point-of-care testing. Ensuring standardized testing procedures becomes paramount to maintaining consistent and reliable results across laboratories. Moreover, laboratories may need to expand their test menus to accommodate the growing demand for personalized medicine approaches and collaborate closely with healthcare providers to support informed decision-making. This commentary provides a focused analysis of the 2024 ADA guidelines for the laboratory assessment of diabetes.

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.

Congenital adrenal hyperplasia due to 21-hydroxylase deficiency leads to high morbidity and mortality, despite the availability of life-saving corticosteroid replacement therapy. Gene therapy represents a promising potential treatment for monogenic disorders such as congenital adrenal hyperplasia, overcoming the limitations of corticosteroid replacement approaches. Adeno-associated viral vectors are currently the leading vector for direct in vivo gene delivery. However, physiological properties of the adrenal gland limit the application of adeno-associated viral vector-based gene addition strategies. To achieve durable correction in the adrenal gland, gene editing must be employed to stably introduce a genetic modification into the CYP21A2 locus. The safety of this and other gene editing approaches could be greatly improved by using lipid nanoparticles for the delivery of editing machinery mRNA. While little data exists regarding adrenocortical lipid nanoparticle targeting, physiological features of this organ (such as high relative blood flow, fenestrated endothelium, and cholesterol uptake) indicate the promise of these delivery vectors for the treatment of monogenic diseases of the adrenal cortex. This review discusses the complexities of developing gene therapy for congenital adrenal hyperplasia and explores the viability of novel gene therapy strategies in this application.

Adult-onset testosterone deficiency (TD) in men is diagnosed by the finding of low serum testosterone levels and recognised, associated symptoms. The condition has high prevalence in men over 50 years of age, particularly those with type 2 diabetes (T2DM). Accumulating data show adult-onset TD is associated with increased mortality risk. We review the literature and consider the evidence suggesting testosterone therapy (TTh) reduces mortality, especially in men with T2DM. We previously reported that in the Burntwood Lichfield Atherstone Sutton Coldfield Tamworth (BLAST) study screened cohort of men with adult-onset TD and T2DM adult-onset TD was associated with increased mortality with TTh decreasing this higher mortality. The data hinted that the effect was greater in older men. We confirmed this observation with statistical analyses to study the effect of age on the association between adult-onset TD and mortality; Cox regression analysis demonstrated that the reduced risk (hazard ratio: 0.61, 95% CI: 0.38–0.96) following TTh was restricted to men above the median age of 65.89 years. Finally, we speculate on putative mechanisms that may mediate these associations. Heterogeneity in men with adult-onset TD is expected in view of its definition of low testosterone levels together with associated clinical phenotypes that are not always directly related. Many of these classifying phenotypes are associated with increased mortality. Thus, it is perhaps possible that mechanism(s) of all-cause mortality reduction following TTh is via the impact on these associated phenotypes such as the metabolic syndrome (MetS), hyperglycaemia, hypertension, dyslipidaemia, low haematocrit, sex hormone binding levels, erectile dysfunction, etc. We propose that further research studying the effect of TTh takes heterogeneity into account.

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.