This study was aimed to explore the resource diversity and microbial inhibition activity of endophytic fungi from medicinal plant Plantago asiatica L. The endophytic fungi were isolated from the root, stem and leaf of the host by tissue inoculation culture and five plant pathogenic fungi and four bacteria strains used as indicating microbes to test microbial inhibition activity by agar plate antagonistic action and modified agar gel diffusion methods. The results indicated that thirteen fungal endophytic strains were isolated from the host. Most of them came from stem, then leaf, and root as the least in number. The isolated strains attribute to five genera, two fam-ilies, and two orders based on morphological characteristics. For the isolated strains, eleven of them were found to have some microbial inhibition activities against one or more indicating fungi, making up 84.6% of the total iso-lates. Six isolated strains had some antimicrobial activities against one or more indicating bacteria, amounting to 46.2% of the total isolates. Three isolated active strains, which are PAEFS001, PAEFS007 and PAEFS008, ex-hibited evident inhibition activities against five kinds of pathogenic fungi used in the trials respectively. The strain of PAEFS001 ascribed to Ozonium sp. Both strains of PAEFS007 and PAEFS008 ascribed to Aspergillus sp. One active strain of PAEFS003 showed evident antibacterial activities to Bacillus subtilis and Staphyloccus aureus, which belonged to Fusidium sp. The endophytic fungi from medicinal plant Plantago asiatica L. have evident an-timicrobial activities. Their inhibition activities against pathogenic fungi have relatively broad spectrum. And their inhibition activities to both Bacillus subtilis and Staphyloccus aureus as G+ are evident and have certain selectivi-ty. It is feasible to find new bioactive compounds associated with endophytic fungi from Plantago asiatica L. Fur-ther research and development of the endophyic fungi will be important for the integrated utilization of the host.

Objective:To analyze the predictive value of echocardiography combined with diaphragmatic ultrasound on the outcome of removing machine for patients who underwent cardiac valve replacement for mechanical ventilation.Methods:Retrospectively,a total of 57 patients who adopt mechanical ventilation after underwent cardiac valve replacement in the First People's Hospital of Yibin from January 2022 to March 2023 were selected as the study subjects.According to the results of removing machine,the patients were divided into failed group(11 cases)and successful group(46 cases).All patients underwent echocardiography combined with diaphragmatic ultrasound examination.The indicators of echocardiography,included left ventricular ejection fractions(LVEF),right ventricular fractional area change(RVFAC)and systolic myocardial velocity(Sa),between different groups were compared.The early diastolic mitral annular tissue velocity(e')was recorded to calculate the ratio of early diastolic transmitral flow velocity(E)to e'(E/e'),and the indicators of echocardiography and diaphragmatic ultrasound.Logistic regression analysis was performed to analyze the factors affecting the failure of removing machine.Receiver operating characteristic(ROC)curve was drawn to evaluate the predictive values of echocardiography and diaphragmatic ultrasound indicators for the failure of removing machine in mechanical ventilation.Results:The differences of the differences of LVEF,RVFAC and Sa between failed group and successful group were no significant(P>0.05).The E/e'value of the successful group was 10.06±1.30,which was significantly lower than 12.69±2.96 of the failed group,and the difference was statistically significant(t=2.084,P＜0.05).The diaphragm thickening fraction(DTF)and diaphragm excursion(DE)values of the successful group were respectively 41.34±10.74 and 13.04±1.18,which were significantly higher than 19.67±5.37 and 11.27±0.94 of the failed group,respectively,and the differences between the two groups were statistically significant(t=2.148,2.776,P＜0.05).The results of logistic regression analysis showed that low expression of DTF and DE,as well as high expression of E/e',were all influence factors for the failure of removing machine for patients adopted mechanical ventilation after underwent cardiac valve replacement.The ROC results showed that the best cut-off value of the prediction model was 0.0893,and the area under curve(AUC)values were 0.713(95%CI:0.646～0.758),0.710(95%CI:0.651～0.779),0.752(95%CI:0.657～0.805)and 0.886(95%CI:0.782～0.991).Conclusion:The combination of echocardiography and diaphragm ultrasound has better prediction for the outcome of removing machine,which high higher clinical application value.