Massive changes have occurred in our diet. A growing consumption of vegetal oils rich in omega-6 (ω-6) and a depletion of omega-3 (ω-3) fatty acids (FAs) in our food has led to an imbalance between ω-3 and ω-6. In particular, eicosapentaenoic (EPA)/arachidonic acid (AA) ratio seems to be an indicator of this derangement, whose reduction is associated to the development of metabolic diseases, such as diabetes mellitus. Our aim was therefore to investigate the literature on the effects of ω-3 and ω-6 FAs on glucose metabolism. We discussed emerging evidence from pre-clinical studies and from clinical trials. Notably, conflicting results emerged. Source of ω-3, sample size, ethnicity, study duration and food cooking method may be responsible for the lack of univocal results. High EPA/AA ratio seems to be a promising indicator of better glycemic control and reduced inflammation. On the other hand, linoleic acid (LA) appears to be also associated to a minor incidence of type 2 diabetes mellitus, although it is still not clear if the outcome is related to a reduced production of AA or to its intrinsic effect. More data derived from multicenter, prospective randomized clinical trials are needed.

Radiomic analysis has emerged as a valuable tool for extracting quantitative features from medical imaging data, providing in-depth insights into various contexts and diseases. By employing methods derived from advanced computational techniques, radiomics quantifies textural information through the evaluation of the spatial distribution of signal intensities and inter-voxel relationships. In recent years, these techniques have gained considerable attention also in the field of pituitary tumors, with promising results. Indeed, the extraction of radiomic features from pituitary magnetic resonance imaging (MRI) images has been shown to provide useful information on various relevant aspects of these diseases. Some of the key topics that have been explored in the existing literature include the association of radiomic parameters with histopathological and clinical data and their correlation with tumor invasiveness and aggressive behavior. Their prognostic value has also been evaluated, assessing their role in the prediction of post-surgical recurrence, response to medical treatments, and long-term outcomes. This review provides a comprehensive overview of the current knowledge and application of radiomics in pituitary tumors. It also examines the current limitations and future directions of radiomic analysis, highlighting the major challenges that need to be addressed before a consistent integration of these techniques into routine clinical practice.

Purpose: Data regarding the presence of a prolactin (PRL) threshold above which a pituitary magnetic resonance imaging (MRI) is mandatory in patients with hyperprolactinemia (hyperPRL) are controversial and derived primarily from studies focused on female populations. Aim of our study was to evaluate in a cohort of patients of both sexes with confirmed hyperPRL, the possible correlation between PRL values and the presence of pituitary abnormalities. Methods: We retrospectively analyzed data from patients who underwent serial PRL sampling at our Division between January 2015 and December 2022. Patients diagnosed with monomeric hyperPRL at serial sampling and with subsequent contrast-enhanced MRI results available for the pituitary region were included in the study. Exclusion criteria were prior pituitary disease, severe renal insufficiency, liver cirrhosis, uncompensated primary hypothyroidism and ongoing therapy with hyperprolactinemic drugs. Physiological causes of hyperPRL were also ruled out. Results: Out of the 1253 patients who underwent serial PRL sampling, 139 patients (101 women and 38 men) met the inclusion criteria: 106 (76.3%) patients had some form of pituitary disease, with microlesions observed in 69.8%, macrolesions in 25.5% and other findings in 4.7% of subjects. PRL values showed a modest accuracy in predicting the presence of a pituitary abnormality and the best cut-offs identified were >25 µg/L (AUC 0.767, p = 0.003) and >44.2 µg/L (AUC 0.697, p < 0.001) in men and women, respectively; however, if only patients with PRL values > 500 µg/L were excluded from the analysis, as they were already supposed to harbor a macroprolactinoma, PRL levels were not able to predict the presence of a macrolesion neither in men nor women. Conclusion: Given the high prevalence of pituitary abnormalities in patients of both sexes with hyperPRL at serial sampling, performing a pituitary imaging in all cases of hyperPRL, even if mild, appears to be a cautious choice.

Objective: The glucagon stimulation test involves the peptide intramuscular or subcutaneous administration for the diagnosis of hypopituitarism. To date, no data are available regarding its intranasal formulation. Our study intended to investigate the role of intranasal glucagon as a potential stimulus test for the evaluation of the corticotropic, somatotropic, and antidiuretic axes.Design: Non-randomized, single-blinded, cross-over study including 10 healthy subjects (50% women).Methods: All participants underwent 2 days of testing, and intranasal glucagon or placebo was administered. At baseline, every 15′ up to +90′, and then every 30′ up to +180′, a blood sample was taken for adrenocorticotropic hormone (ACTH), cortisol, growth hormone (GH), copeptin, glucose, insulin, sodium, potassium, and plasma osmolarity. At baseline and at the end of the test, urinary osmolarity was evaluated as well.Results: After administration of both glucagon and placebo, ACTH and cortisol values decreased progressively (P < 0.001), but in the drug group, the reduction in cortisol was less accentuated up to +90′ (P < 0.05). Growth hormone values decreased after placebo administration (P < 0.001); on the other hand, after glucagon, an increasing, yet non-significant trend was observed (P = 0.096) with the difference between the two groups evident starting from +120′ onwards (P < 0.005). The placebo administration led to a reduction of copeptin, while its stability was observed after glucagon administration. Six subjects developed hypokalemia (ie, potassium <3.5 mmol/L) post-glucagon, with the nadir at 45′ (3.6 [3.2-3.8] mmol/L) significantly correlated with the immediate post-glycemic rise insulin peak (Spearman's rho −0.719; P = 0.019). No significant differences were observed compared to the other analytes tested.Conclusions: Intranasal glucagon administration is not an effective stimulus for hypophyseal secretion. Hypokalemia secondary to hyperinsulinemic rebound appears to be a frequent complication of its acute administration.