ABSTRACT
The variability and number of appendixes, publication year and publication journals of full-text files conforming to the JATS standards, selected from 891334 full-text papers published in biomedical journals, were analyzed, which showed that the number of non-text files increased sharply with their appendixes reached 45, and jpg, png, tif accounted for 81%.
ABSTRACT
Objective To investigate the protective effects of Radix Paeoniae Rubra(RPR)extracts on reticulum stress and macrophage infiltration on diabetic cardiomyopathy rats and the mechanism. Methods Sprague￣Dawley rats were randomly divided into 5 groups: normol control, model control (induced by streptozotocin),RPR extracts at low dose (i.p.15 g.kg-1 ), middle dose (i.p.30 g.kg-1 ), and high dose (i.p.60 g.kg-1 ).The artery intubation was carried out in all rats for detecting cardiac function 10 weeks later.The myocardial structure was detected by masson staining.The level of myocardial tissue glucose regulatory proteins GRP78,caspase￣12 and caspase￣3 expression were measured by Western blot.The ED￣1 protein was tested by immunohistochemical staining. Results Compared with the normal controls, the model rats presented decreased LVSP, +dp/dtmax ,-dp/ dtmax , LVEF, increased expressions of GRP78, caspase￣12,caspase￣3, ED￣1 and the synthesis of collagen fiber(P<0.05 or P<0.01).RPR extract inhibited the above indexes of model control rats in a concentration￣dependent manner(P<0.05 or P<0.01). Conclusion The RPR obviously ameliorates the cardiac function and myocardial fibrosis of diabetic cardiomyopathy rats,which may be associated with suppressing the expression of GRP78,caspase￣12,caspase￣3 and macrophage infiltration.
ABSTRACT
Since it is one of the hotspots to discover the new knowledge in life science in data-intensive scientific discovery by integrating the biomedical literature and scientific data that can provide an open environment for their interactive operation , the mining of foreign and domestic biomedical literature and integration of scientific data were analyzed , the corresponding systems for different integration methods were investigated , the development trend in biomedical literature and scientific data integration was predicted .