Using tissue engineering, a complex of neural stem cells (NSCs) and collagen type I was transplanted for the therapy of cerebral ischemic injury. NSCs from E14 d rats were dissociated and cultured by neurosphere formation in serum-free medium in the presence of basic fibroblast growth factor (bFGF), then seeded onto collagen to measure cell adhesive ability. BrdU was added to the culture medium to label the NSCs. Wistar rats (n=100) were subjected to 2-hour middle cerebral artery occlusion. After 24 hours of reperfusion, rats were assigned randomly to five groups: NSCs-collagen repair group, NSCs repair group, unseeded collagen repair group, MCAO medium group, and sham group. Neurological, immunohistological and electronic microscope assessments were performed to examine the effects of these treatments. Scanning electronic microscopy showed that NSCs assemble in the pores of collagen. At 3, 7, 15, and 30 d after transplantation of the NSC-collagen complex, some of the engrafted NSCs survive, differentiate and form synapses in the brains of rats subjected to cerebral ischemia. Six d after transplantation of the NSC-collagen complex into the brains of ischemic rats, the collagen began to degrade; 30 d after transplantation, the collagen had degraded completely. The implantation of NSCs and type I collagen facilitated the structural and functional recovery of neural tissue following ischemic injury. Anat Rec,
These findings suggest S100A11 could be helpful in the pathological study of colorectal cancer, especially for the classification of different stages in colorectal cancer.
Currently, many companies around the world are actively developing COVID-19 vaccines. Fourteen vaccines with reliable safety and effectiveness are being successfully distributed to the public. However, there is no specific clinical trial data of the vaccines currently on the market on cancer patients at various stages, so the safety and effectiveness on cancer patients is unknown. This mini-review aims to discuss the impact of COVID-19 on cancer patients, and the urgent need of COVID-19 vaccines for cancer patients. In this review, we described the current status of the COVID-19 vaccine usages in cancer patients, as well as discussed potential problems in the use of vaccine. In addition, we included an original survey of the acceptance of the COVID-19 vaccines in 209 cancer patients and their family members. COVID-19 vaccine can provide cancer patients with social and medical benefits; therefore, clinical trials of vaccines on cancer patients are in great need.
Reasonably assessing the efficiency of green regional development is a key to improving environmental management and implementing sustainable development strategies. From the perspectives of environmental pollutant emissions, energy consumption, and production factor cost, the non-radial data envelopment analysis model based on the Malmquist index was applied to measure the green development efficiency and regional differences of 11 cities in Zhejiang from 2007 to 2016 from both static and dynamic aspects. This paper further analyzes the inherent influencing factors through the panel data model. The result shows: (1) The average static efficiency of green development in Zhejiang Province is 0.844. There is still 15.6% of improvement space from the frontier of production. Pollution emission management has the greatest improvement potential. Pure technical efficiency is the main factor restricting the static efficiency. (2) The dynamic efficiency of Zhejiang’s green development achieves an average annual rate of 0.26%, with a cumulative growth of 2.33%. The improvement of green development efficiency mainly depends on scale efficiency change. (3) The inherent factors affecting the efficiency of green development in the 11 cities mainly include three factors: the industrial structure, environmental regulation, and the urbanization level. The industrial structure has a positive effect, while environmental regulation and the urbanization level have negative effects. (4) The 11 cities are relatively evenly distributed in the four “static–dynamic efficiency” classification quadrants, and there is no "Matthew effect" of high–high, low–low polarization.
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