Yanjun Wang

An ideal animal model to explore that pathogenesis and prevention of dementia is essential. The present study was designed to compare the difference of behavior and cerebral blood flow of the two vascular dementia rat models at different time intervals.The rats were randomly allocated to three groups: bilateral common carotid artery occlusion (BCCAO) group, thromboembolism (TE) group and sham-operated (SHAM) group. The performance in the Morris water maze (MWM) was analyzed at 7, 14 and 28 d after operation and cerebral blood flow (CBF) was analyzed at 28 days after operation.The results showed that the two models exhibited longer latency, less times to crossing platform in MWM and lower CBF than the SHAM rats. Compared with the TE rats, the BCCAO rats have a significant prolongation of escape latency at 7 days and 28 days. In the probe trial, the BCCAO rats showed less number of times across the platform.The BCCAO rats maybe provide a more useful model to study the physiopathological mechanisms of cognitive impairment related to chronic cerebral ischemia.

The ocean is a critical part of the global ecosystem. The marine ecosystem balance is crucial for human survival and sustainable development. However, due to the impacts of global climate change and human activities, the ocean is rapidly changing, which poses an enormous threat to human health and the economy. “Conserve and sustainably use the oceans, seas and marine resources” is one of the 17 Sustainable Development Goals (SDGs). Therefore, it is urgent to construct a transformative marine scientific solution to promote sustainable development. Marine data is the basis of ocean cognition and governance. Marine science has ushered in the era of big data with continuous advances in modern marine data acquisition. While big data provides a large amount of data for SDG research, it simultaneously brings unprecedented challenges. This study introduces an overall framework of a system for solving the current problems faced by marine data serving SDGs from the perspective of marine data management and application. Also, it articulates how the system helps the SDGs through two application cases of managing fragmented marine data and developing global climate change data products.

A thermostable superoxide dismutase [(SOD) EC 1.15.1.1] from a Thermoascus aurantiacus var. levisporus was purified to sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) homogeneity by a series of column chromatographies. The molecular mass of a single band of the enzyme was estimated to be 16.8 kDa by SDS-PAGE. The molecular mass was estimated to be 33.2 kDa by gel filtration on Sephacryl S-100, indicating that the enzyme was composed of two identical subunits of 16.8 kDa each. N-terminal amino acid sequencing (seven residues) yielded VKAVAVL. Using RACE-PCR, a Cu, Zn-SOD gene was cloned from T. aurantiacus var. levisporus. The sequence was 705 bp and contained a 468 bp ORF encoding a Cu, Zn-SOD of 155 amino acid residues.