The endogenous microorganism in paridis rhizoma mainly includes bacteria and fungi,and shows different physiological activities,such as microorganism inhibition and anti-tumor activity. The principal active substance steroid saponin in paridis rhizoma can be generated from the fermentation liquor of some endogenous bacteria,and the chemical structure of vancomycin and progesterone can be transformed by the endophyte. It is supposed that paridis rhizoma may benefit from the attributions of the endogenous bacteria against illness and environment changes. It would also benefit in productivity, transformation and modification of the other active sub-metabolites and compounds in paridis rhizoma. Thus,it is valuable in drug development and source insufficiency alleviation of Chinese medicines through separation,identification,screening and clone of the endogenous microorganism in paridis rhizoma.

OBJECTIVETo establish a stable and feasible rabbit model of cardiopulmonary bypass (CPB) in acute cerebral embolism phase for studying the effects of CPB on brain tissues and the timing of surgical intervention of acute cerebral embolism.

METHODSFifty-four rabbits were randomized into group A (n=18) to receive CPB without middle cerebral artery occlusion (MCAO) and group B to undergo CPB at 24 h (group B1, n=18) or 1 week (group B2, n=18) after MCAO. Through a supraorbital margin approach, electrocoagulation was carried out to occlude the main stem of the left MCA under direct vision to establish MCAO. Magnetic resonance imaging (MRI) was performed at both 24 h and 1 week after MCAO, and the severity of cerebral embolization was evaluated. CPB was established by cannulation of the ascending aorta and the right atrium through a median sternotomy incision. MRI was performed at 2 h after CPB to observe the brain tissues.

RESULTSMCAO was successfully established in groups B1 and B2, and all the rabbits survived after MCAO. In both groups A and B, MRI examination detected no cerebral hemorrhage or new embolism 2 h after CPB.

CONCLUSIONSWe have established a stable and feasible CPB model in rabbits with acute cerebral embolism to allow study of the mechanisms of CPB-related organ damage and its interventions.

Animals ; Cardiopulmonary Bypass ; Disease Models, Animal ; Electrocoagulation ; Female ; Infarction, Middle Cerebral Artery ; etiology ; physiopathology ; Magnetic Resonance Imaging ; Male ; Middle Cerebral Artery ; surgery ; Rabbits ; Random Allocation

Objective To analyze the spatial distribution characteristics of tuberculosis in rural areas of Nanning City from 2010 to 2018, and explore the clustering areas, and to provide evidence for tuberculosis prevention and treatment. Methods The database of tuberculosis epidemics in rural areas of Nanning City from 2010 to 2018 was established by ArcGIS 10.8. The spatial distribution map was drawn, and global autocorrelation, local autocorrelation and hotspot analysis were conducted. Results The spatial distribution map of the average annual reported incidence rates in rural areas of Nanning from 2010 to 2018 showed that the towns with high average annual incidence rates were Jinchai Town and Yangqiao Town. Global autocorrelation analysis showed that the Moran's I index from 2010 to 2018 was 0.18 (Z=2.33, P=0.02), suggesting that tuberculosis in rural areas of Nanning had spatial clustering in the regional distribution. Local autocorrelation analysis showed that tuberculosis in rural areas of Nanning had high-high clustering, low-low clustering, high-low clustering and low-high clustering patterns. Among them, Jinchai Town and Lidang Yao Township were high-high clustering areas. Litang Town, Xinfu Town and Taoxu Town were low-low clustering areas. Local hotspot analysis showed that ^“hotspot^” areas included Jinchai Town, Yangqiao Town and Lidang Yao Township. Conclusion There is a spatial clustering of tuberculosis epidemics in rural areas of Nanning. The high-incidence areas include Jinchai Town, Yangqiao Town and Lidang Yao Township, and the low-incidence areas include Litang Town, Xinfu Town and Taoxu Town.