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Plasma Circulating Metabolites Associated With Steatotic Liver Disease and Liver Enzymes: A Multiplatform Population-Based Study.
Gastro Hep Adv
September 2024
Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Background And Aims: Steatotic liver disease (SLD) is the most common chronic liver disease strongly associated with metabolic dysfunction, but its pathogenesis remains incompletely understood. Exploring plasma circulating metabolites may help in elucidating underlying mechanisms and identifying new biomarkers for SLD.
Methods: We examined cross-sectionally the association between plasma metabolites and SLD as well as liver enzymes using data from 4 population-based cohort studies (Rotterdam study, Avon Longitudinal Study of Parents and Children, The Insulin Resistance Atherosclerosis Family Study, and Study of Latinos).
Top-Down Strategy Enabling Elastic Wood Nanocarbon Sponges with Wrinkled Multilayer Structure and High Compressive Strength for High-Performance Compressible Supercapacitors.
Adv Sci (Weinh)
January 2025
College of Materials Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, China.
3D porous carbon electrodes have attracted significant attention for advancing compressible supercapacitors (SCs) in flexible electronics. The micro- and nanoscale architecture critically influences the mechanical and electrochemical performance of these electrodes. However, achieving a balance between high compressive strength, electrochemical stability, and cost-effective sustainable production remains challenging.
View Article and Find Full Text PDFhERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses.
J Cheminform
January 2025
Department of Intelligent Electronics and Computer Engineering, Chonnam National University, Gwangju, Republic of Korea.
The human ether-a-go-go-related gene (hERG) channel plays a critical role in the electrical activity of the heart, and its blockers can cause serious cardiotoxic effects. Thus, screening for hERG channel blockers is a crucial step in the drug development process. Many in silico models have been developed to predict hERG blockers, which can efficiently save time and resources.
View Article and Find Full Text PDFAssessment of healthcare workers' knowledge and availability of resources for sickle cell disease management in Bukavu, Democratic Republic of the Congo.
BMC Health Serv Res
January 2025
Faculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.
Introduction: Sickle cell disease (SCD) is a global public health priority due to its high morbidity and mortality. In the Democratic Republic of the Congo (DRC), effective care for this disease depends on the availability of resources and the level of knowledge of healthcare workers (HCWs). However, in Bukavu, there is limited data available on these two crucial aspects, which are vital for enhancing the care of patients with SCD.
View Article and Find Full Text PDFVAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes.
Comput Methods Programs Biomed
January 2025
Computational Biomedicine Unit, Department of Medical Sciences, University of Torino, Via Santena 19, 10126, Torino, Italy.
Background And Objectives: Several computational pipelines for biomedical data have been proposed to stratify patients and to predict their prognosis through survival analysis. However, these analyses are usually performed independently, without integrating the information derived from each of them. Clustering of survival data is an underexplored problem, and current approaches are limited for biomedical applications, whose data are usually heterogeneous and multimodal, with poor scalability for high-dimensionality.
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