Objective To analyze the characteristics of intestinal flora in patients with allergic asthma, so as to provide a theoretical basis for the development of new clinical treatment methods. Methods Fecal samples were collected from 14 patients with allergic asthma and 15 healthy people between January 2021 and December 2021, and 16S rRNA was used to analyze the composition and diversity of intestinal flora of the participants. Results There was no statistically significant difference in age, gender, BMI, or smoking history between the allergic asthma group and the control group (all P>0.05). Alpha diversity results showed that there was significant difference in the abundance of intestinal flora between the two groups, but there was no significant difference in the diversity of intestinal flora between the two groups. The results of β diversity analysis indicated that there were significant differences in the composition of bacterial flora between the allergic asthma group and the control group. The difference bacteria between the two groups at the genus level are Faecalibacterium, Roseburia, Alistipes, Sphingomonas, Dorea, Ruminococcaceae_UCG-002, Streptomyces, [Eubacterium]_venturiosum_group, Butyriococcus and Agathobacter. Conclusion Compared with healthy individuals, patients with allergic asthma have undergone significant changes in the composition of their gut microbiota, with various differential bacteria present. Among them, Roseburia and Eubacterium may be involved in the pathogenesis of allergic asthma through changes in short chain fatty acids.
ObjectiveTo observe the application value of RetCam Ⅲ in the diagnosis of retinoblastoma (RB). MethodsThe clinical data of 125 eyes from 94 patients with RB were retrospectively analyzed. According to the International Intraocular Retinoblastoma Classification, the results of binocular indirect ophthalmoscope and RetCam Ⅲ was compared. The consistency between RetCam Ⅲ and binocular indirect ophthalmoscope was analyzed by Kappa test. The detectable rates of tumor between binocular indirect ophthalmoscope, RetCam Ⅲand B scan ultrasound were comparatively analyzed. ResultsBy binocular indirect ophthalmoscope, there were 18 eyes (14.4%) in stage A, 15 eyes (12.0%) in stage B, 10 eyes (8.0%) in stage C, 28 eyes (22.4%) in stage D, and 54 eyes (43.2%) in stage E. Using RetCam Ⅲ, the classification was 18 eyes (14.4%) in stage A, 16 eyes (12.8%) in stage B, 11 eyes (8.8%) in stage C, 27 eyes (21.6%) in stage D, and 53 eyes (42.4%) in stage E. The RB classification of RetCam Ⅲ was quite consistent with binocular indirect ophthalmoscope (Weighted Kappa Coefficient=0.979 8, 95% confidence interval=0.960 1-0.999 5). A total of 150 tumors from stage A-D were observed by binocular indirect ophthalmoscope. In which, 147 tumors (98.0%) were found by RetCam Ⅲ, 122 tumors (81.3%) were found by B scan ultrasound. No serious complication was found in these patients. ConclusionsRetCam Ⅲ can detect RB of different stage in clinic. It is quite consistent with binocular indirect ophthalmoscope.