Integrating Single-Nucleus RNA Sequencing and Spatial Transcriptomics to Elucidate a Specialized Subpopulation of Astrocytes, Microglia, and Vascular Cells in a Mouse Model of Lipopolysaccharide-Induced Sepsis-Associated Encephalopathy

Medicine, Infectious Diseases, Neurology, Life Sciences, Cell Biology, Immunology,
sepsis   sepsis-associated encephalopathy   single-nucleus RNA sequencing   spatial transcriptomics   ANXA1   glial cell response   cellular localization  

Study on Mouse Sepsis-Associated Encephalopathy Based on Single Cell and Spatial Transcriptomics Background Organ dysfunction leading to death in sepsis is related to an imbalance in the host’s response to infection, and it has a high global mortality rate. Recent studies have shown that sepsis can cause brain dysfunction, known as sepsis-associate...

SIRT1-RAB7 Axis Attenuates NLRP3 and STING Activation through Late Endosomal-Dependent Mitophagy during Sepsis-Induced Acute Lung Injury

Medicine, Infectious Diseases, Respiratory System, Life Sciences, Cell Biology, Biochemistry, Immunology,
acute lung injury   mitophagy   sepsis   SIRT1  

The SIRT1-Rab7 Axis Regulates NLRP3 and STING Activation in Sepsis-Induced Acute Lung Injury via Terminal Endosome-Dependent Mitophagy Academic Background Acute lung injury (ALI) is one of the leading causes of death in septic patients, primarily due to the pro-inflammatory changes and permeability defects in endothelial cells (ECs). Mitochondrial ...

Impact of a Deep Learning Sepsis Prediction Model on Quality of Care and Survival

Information Science, Artificial Intelligence, Medicine, Nursing, Emergency Medicine,
deep learning   sepsis   prediction model   quality of care   survival rate   in-hospital mortality   causal impact analysis  

Impact of Deep Learning Sepsis Prediction Model on Nursing Quality and Patient Survival Research Background Sepsis is a systemic inflammatory response caused by infection, affecting approximately 48 million people globally each year, with around 11 million deaths. Due to the heterogeneity of sepsis, early identification often faces significant chal...