Diabetic cardiomyopathy: pathophysiology, imaging assessment and therapeutical strategies.

Diabetes mellitus (DM) is one of the most prevalent cardiovascular risk factors in the general population, being associated with high morbidity and socioeconomic burden. Diabetic cardiomyopathy (DCM) is a non-negligible complication of DM, whose pathophysiological fundaments are the altered cardiac metabolism, the hyperglycemia-triggered formation of advanced glycation end-products (AGEs) and the inflammatory milieu which are typical in diabetic patients. These metabolic abnormalities lead to cardiomyocytes apoptosis, interstitial fibrosis and mechanical cardiac dysfunction, which can be identified with non-invasive imaging techniques, like echocardiography and cardiac magnetic resonance.

Clinical Characterization of a National Cohort of Patients With Germline Variants Including Late-Onset Phenotypes.

Introduction: disorder is a recently introduced term for phenotypes associated with germline Wilms Tumor 1 () variants, including glomerulopathy, urogenital anomalies, and Wilms tumor. Previous studies showed a bias toward missense variants in the DNA-binding/Zinc-finger domain of (exon 8 and 9) and patients with early-onset glomerulopathy. Thorough genotype-phenotype correlations including follow-up data on late-onset glomerulopathy risk are lacking.

Clinical parameters of death and heart failure hospitalization in biventricular systolic dysfunction assessed via cardiac magnetic resonance.

Aims: While factors associated with adverse events are well elucidated in setting of isolated left ventricular dysfunction, clinical and imaging-based prognosticators of adverse outcomes are lacking in context of biventricular dysfunction. The purpose of this study was to establish role of clinical variables in prognosis of biventricular heart failure (HF), as assessed by cardiac magnetic resonance imaging.

Methods: Study cohort consisted of 840 patients enrolled in DERIVATE registry with coexisting CMR-derived right ventricular (RV) and left ventricular (LV) dysfunction, as defined by RV and LV ejection fractions ≤45 % and ≤ 50 %, respectively.

Taxonomic and metabolic characterisation of biofilms colonising Roman stuccoes at Baia's thermal baths and restoration strategies.

Stuccoes are very delicate decorative elements of Roman age. Very few of them survived almost intact to present days and, for this reason, they are of great interest to restorers and conservators. In this study, we combined metabarcoding and untargeted metabolomics to characterise the taxonomic and metabolic profiles of the microorganisms forming biofilms on the stuccoes located on the ceiling of the laconicum, a small thermal environment in the archaeological park of Baia (southern Italy).

A pipeline for estimating human attention toward objects with on-board cameras on the iCub humanoid robot.

This research report introduces a learning system designed to detect the object that humans are gazing at, using solely visual feedback. By incorporating face detection, human attention prediction, and online object detection, the system enables the robot to perceive and interpret human gaze accurately, thereby facilitating the establishment of joint attention with human partners. Additionally, a novel dataset collected with the humanoid robot iCub is introduced, comprising more than 22,000 images from ten participants gazing at different annotated objects.