RESUMEN
The mechanism of innate and adaptive immune responses to chronic infections with hepatotropic viruses (HBV, HCV) was studied in 2018. Its mechanism elucidated the dysregulation of natural killer (NK) cells, monocytes, B cells and T cells. In addition, a new target for immune regulation of HBV infection (TLR3/OX40L) was introduced. The discovery of new NK cell immune checkpoints, the involvement of mononuclear macrophages in liver failure and inflammation, sex hormone affecting intrahepatic-resistant bacterial infection through the regulation of humoral immunity, and the communication mechanism between liver and other immune organs have enriched people's understanding of liver immunology and its clinical significance.
RESUMEN
Liver sinusoid endothelial cells are the first defense mechanism that protects the liver against various injuries,and they also play a significant role in the development of liver fibrosis and liver cirrhosis caused by chronic liver injury.They are involved in liver fibrosis by mediating liver inflammation,participating in sinusoid capillarization and revascularization,activating hepatic stellate cells,secreting many proinflammatory cytokines,participating in extracellular matrix formation,and mediating liver microcirculation disturbance.Clarification of these mechanisms helps to identify new targets and develop new regimens for the treatment of liver fibrosis.
RESUMEN
Liver sinusoidal endothelial cells are a major group of nonparenchymal cells in the liver and are involved in immunological surveillance of the liver through the expression of various scavenger receptors and pattern recognition receptors. However, in case of several physiological states, viral infections, and tumor environment, liver sinusoidal endothelial cells maintain immune tolerance in the liver through various mechanisms and cause persistent viral infection and tumor metastasis. This article reviews the mechanisms of immune tolerance of CD4 + T cells and CD8 + T cells in the liver induced by liver sinusoidal endothelial cells.
RESUMEN
Fetal electrocardiogram (FECG) is an objective index of the activities of fetal cardiac electrophysiology. The acquired FECG is interfered by maternal electrocardiogram (MECG). How to extract the fetus ECG quickly and effectively has become an important research topic. During the non-invasive FECG extraction algorithms, independent component analysis(ICA) algorithm is considered as the best method, but the existing algorithms of obtaining the decomposition of the convergence properties of the matrix do not work effectively. Quantum particle swarm optimization (QPSO) is an intelligent optimization algorithm converging in the global. In order to extract the FECG signal effectively and quickly, we propose a method combining ICA and QPSO. The results show that this approach can extract the useful signal more clearly and accurately than other non-invasive methods.