BACKGROUND:To in vitro isolate neural stem cel s with high purity and uniform biological properties and to establish a complete set of neural stem cel culture system is the basis for neural stem cel research.
OBJECTIVE:To establish an isolation and culture system for neural stem cel s from newborn mouse hippocampus, olfactory bulb and cortex and to analyze the biological properties of cel s.
METHODS:Neural stem cel s were isolated from the hippocampus, olfactory bulb and cortex tissue of newborn Kunming mice by mechanical separation and trypsin digestion. Serum-free culture technology, mechanical pipetting and trypsin digestion were used for subculture of neural stem cel s. 10%fetal bovine serum was used to induce differentiation of neural stem cel s. Neural stem cel s and their differentiated products were identified by
immunofluorescent staining of Nestin, CD133,β-TubulinIII, glial fibril ary acidic protein.
RESULTS AND CONCLUSION:The neural stem cel obtained from newborn mouse hippocampus, olfactory bulb and cortex had the capacity of self-renewal and differentiation which were positive for Nestin and CD133. After induction with fetal bovine serum, neural stem cel could differentiation toβ-tubulinIII or glial fibril ary acidic protein positive cel s that were neurons and astrocytes. This experiment has successful y established the neural stem cel isolation, culture, identification and induction system, providing experimental basis for subsequent studies of neural stem cel s.

Atherosclerosis is a chronic disease caused by thickening of the lining of the arteries, narrowing of the lumen or hardening of occlusion, and the incidence is increasing year by year. Studies have found that the inflammatory response is involved in different pathological processes in atherosclerosis. As an important inflammatory factor, interferon-γ participates in the occurrence and development of atherosclerosis by promoting endothelial cell damage, inducing foam cell formation, and promoting plaque formation and rupture. However, studies have shown that interferon-γ can also act on lipid receptors to inhibit the formation of foam cells, inhibit the proliferation of smooth muscle cells and protect against atherosclerosis.This article will review the effect of interfron-γ of atherosclerosis in occurence and development.

Lower extremity arteriosclerosis obliterans is a clinical manifestation of atherosclerosis in the lower extremities.At present, the main treatment methods include stent implantation, balloon angioplasty.However the incidence of restenosis after interventional surgery is high, which seriously affects the effect of surgical treatment and the prognosis of patients.This article reviews the mechanism, influencing factors and the latest progress in the prevention and treatment of vascular restenosis after arteriosclerosis obliterans of the lower extremity orteriosclerosis obliterans intervention, which is of important clinical significance to the early prevention and treatment of instent restenosis.

Objective:To explore the effectiveness of the artificial intelligence-endoscopic ultrasound (AI-EUS) biliary and pancreatic recognition system in assisting the recognition of EUS images.Methods:Subjects who received EUS due to suspicious biliary and pancreatic diseases from December 2019 to August 2020 were prospectively collected from the database of Department of Gastroenterology, Renmin Hospital of Wuhan University. Pancreatic EUS images of 28 subjects were included for recognition of pancreas standard station. EUS images of bile duct of 29 subjects were included for recognition of bile duct standard station. Eight new endoscopists from the Gastroenterology Department of Renmin Hospital of Wuhan University read the 57 EUS videos with and without the assistance of AI-EUS biliary and pancreatic recognition system. Accuracy of endoscopists' identification of biliary and pancreatic standard sites with and without the assistance of AI-EUS was compared.Results:The accuracy of pancreas standard station identification of the new endoscopists increased from 67.2% (903/1 344) to 78.4% (1 054/1 344) with the assistance of AI-EUS. The accuracy of bile duct standard station identification increased from 56.4% (523/928) to 73.8% (685/928).Conclusion:AI-EUS biliary and pancreatic recognition system can improve the accuracy of EUS images recognition of biliary and pancreatic system, which can assist diagnosis in clinical work.