International Nephrology Masterclass in Chronic Kidney Disease: Rationale, Summary, and Future Perspectives.

Chronic kidney disease (CKD) is a progressive condition that affects more than 10% of the population worldwide, accounting for more than 843 million (M) individuals. The prevalence of CKD (844 M patients) is higher than that of diabetes mellitus (422 M patients), cancer (42 M patients), and HIV (37 M patients), but people are often less aware of it. Global expert groups predict reductions in the nephrology workforce in the next decade, with a declining interest in nephrology careers.

Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution.

Electrocardiogram signals play a pivotal role in cardiovascular diagnostics, providing essential information on electrical hearth activity. However, inherent noise and limited resolution can hinder an accurate interpretation of the recordings. In this paper an advanced Denoising Convolutional Autoencoder designed to process electrocardiogram signals, generating super-resolution reconstructions is proposed; this is followed by in-depth analysis of the enhanced signals.

Elevated whole blood viscosity is associated with an impaired insulin-stimulated myocardial glucose metabolism.

Background: Increased whole blood viscosity (WBV) was associated with impaired peripheral glucose metabolism, type 2 diabetes, and cardiovascular disease (CVD). Impaired myocardial glucose metabolism is a risk factor for CVD. Whether an increased WBV is associated with impaired myocardial glucose metabolism is still undefined.

Senolytics rejuvenate aging cardiomyopathy in human cardiac organoids.

Background: Human cardiac organoids closely replicate the architecture and function of the human heart, offering a potential accurate platform for studying cellular and molecular features of aging cardiomyopathy. Senolytics have shown potential in addressing age-related pathologies but their potential to reverse aging-related human cardiomyopathy remains largely unexplored.

Methods: We employed human iPSC-derived cardiac organoids (hCOs/hCardioids) to model doxorubicin(DOXO)-induced cardiomyopathy in an aged context.

Non parametric differential network analysis: a tool for unveiling specific molecular signatures.

Background: The rewiring of molecular interactions in various conditions leads to distinct phenotypic outcomes. Differential network analysis (DINA) is dedicated to exploring these rewirings within gene and protein networks. Leveraging statistical learning and graph theory, DINA algorithms scrutinize alterations in interaction patterns derived from experimental data.