Objective]In order to study the impact of adenoid hypertrophy(AH)with allergic rhinitis(AR)in the otitis media with effusion(OME)in children,as well as to discuss the risk factors on the inducement of OME in patients with AH.[Methods]The clinical materials were collected and analyzed from 205 children with AH who admitted for surgical treatment between 2013 and 2015, including medical history and signs,acoustic immittance measurement,allergy screen as well as blood routine,and to evaluate the situation of OME and AR in patients with AH. All the data were analyzed by SPSS 20.0.[Results]Among the 205 AH children,66 cases(32.20%)were accompanying with OME. The AH patients aged 3-5 years had the highest incidence of OME,which decreased with age(P=0.018). It is significant on the prevalence of the OME in patients with AH between the two groups with and without AR (P = 0.010). In the logistic model investigating the risk factors of inducing OME among patients with AH,the third-degree AH, Type-three and the accompanying with AR were significant. The third-degree and third-type AH children were 2.729 and 6.390-folds higher than others respectively (P = 0.047,P = 0.001). The incidence of OME appeared to be 1.212-folds higher among patients with AR(P = 0.010).[Conclusion]Mechanical obstruction and AR played a superimposed role in the inducement of OME among patients with AH,which was effected by multiple factors. We should pay attention to the“lateral respiratory”allergic diseases on eustachian tube and middle ear.

The recent progresses on chemical components and pharmacological activities of the genus Gentiana were summarized. The main chemical constituents of this genus are iridoids, xanthone and flavone. There were more than ninety iridoid compounds, one hundred xanthone compounds, and thirty four flavone compounds isolated up till now. And flavone compounds were obtained mainly from aerial part. The plants of this genus had broad bioactivities such as antifungal activity, anti-inflammatory activity and liver protective effect. These mentioned above would be helpful for further studies on the plants of the genus Gentiana.
Animals ; Drugs, Chinese Herbal ; chemistry ; pharmacology ; Flavones ; Flavonoids ; chemistry ; pharmacology ; Gentiana ; chemistry ; Humans ; Xanthones ; chemistry ; pharmacology

Objective:To analyze the differences and similarities of pre-treatment and post-treatment lung microbiome of acute respiratory distress syndrome (ARDS) and find out the change rules of the lung microbiome in the progression of ARDS according to different prognosis.Methods:A retrospective study was conducted. Patients with ARDS caused by severe pneumonia admitted to intensive care unit (ICU) of Jiangmen Central Hospital from February 2019 to January 2020 were enrolled as the study subjects. The patients were divided into pre-treatment (ARDS-preT) group (24 cases), post-treatment survival (ARDS-poT-Survival) group (17 cases), and post-treatment death (ARDS-poT-Dead) group (7 cases). ICU patients with mild pulmonary infection and non-ARDS admitted to ICU during the same period were enrolled as control group (25 cases). The similarities and differences of lung microbiome in four groups were analyzed and compared, and the possible pathogenic bacteria (potential risk factors for death) and probiotics (potential survival and protective factors) related to death caused by ARDS were screened.Results:In terms of pathogenic microorganisms, the positive rates of Escherichia coli and Candida albicans in the ARDS-poT-Dead group were significantly higher than those in the ARDS-poT-Survival group [57.1% (4/7) vs. 5.9% (1/17) and 57.1% (4/7) vs. 0% (0/7), both P < 0.05]. In the screening of background bacteria, the decrease of bacteria in the ARDS-preT group compared with the ARDS-poT-Survival group, the ARDS-poT-Dead group compared with the ARDS-poT-Survival group, the ARDS-poT-Dead group compared with the control group, the reduced bacteria might be pulmonary probiotics (potential protective factor for ARDS). The screening result was Hydrobacter [ARDS-preT group vs. ARDS-poT-Survival group: 62.5% (15/24) vs. 94.1% (16/17); ARDS-poT-Dead group vs. ARDS-poT-Survival group: 14.3% (1/7) vs. 94.1% (16/17); ARDS-poT-Dead vs. control: 14.3% (1/7) vs. 96.0% (24/25), all P < 0.05]. In the screening of background bacteria, the increase of bacteria in the ARDS-poT-Dead group compared with the ARDS-preT group, the ARDS-poT-Dead group compared with the ARDS-poT-Survival group, the ARDS-poT-Dead group compared with the control group, and the increased bacteria might be potential pulmonary pathogen (potential risk factor for death of ARDS), which belonged to Enterobacteria: Edwardsiella, Enterobacteriaceae, Escherichia, Klebsiella, Kluyvera, Lelliottia, Pantoea, Raoultella. Conclusions:The results revealed the increase of Escherichia coli or Candida albicans in pulmonary pathogenic microorganisms, or the increase of Enterobacteria in background bacteria may be the risk factors for the death of ARDS. Additionally, background bacteria Hydrobacter probably is a protective factor for the survival of ARDS. Whether it can be used as a novel treatment for ARDS is worth further investigation.

AIM:To explore the effect of microRNA-184(miR-184)on compensatory lung growth(CLG)af-ter lobectomy in multiple primary lung cancer(MPLC)and its mechanism.METHODS:(1)Lung tissue samples(n= 16)from MPLC patients and patients with good recovery after lobectomy(CLG)were collected,and the expression of miR-184 was measured by RT-qPCR.(2)Human alveolar epithelial cells were divided into NC-mimic group,miR-184 mimic group,OE-NC group,tissue inhibitor of metalloproteinase-2(TIMP-2)overexpression(OE-TIMP-2)group,and miR-184 mimic+OE-TIMP-2 group according to the transfection(n=3).The expression of miR-184,TIMP-2 mRNA and matrix metalloproteinase-14(MMP-14)mRNA was measured by RT-qPCR,and the protein expression of TIMP-2 and MMP-14 was determined by Western blot.The proliferation of the cells was measured by CCK-8 and colony formation assays.(3)C57BL/6J mice were divided into pneumonectomy(PNX)group and PNX+miR-184 mimic group(n=5).The flexiVent system was used to measure the vital capacity and lung compliance of the mice.Lung volume was measured by water dis-placement method,and lung tissue changes were observed by HE staining.RESULTS:The expression of miR-184 was significantly higher in the patients with better recovery after lobectomy(P＜0.01).Overexpression of miR-184 promoted the proliferation of human alveolar epithelial cells and the recovery of lung function in mice after PNX.In terms of mecha-nism,miR-184 showed targeted binding with TIMP-2,and overexpression of miR-184 promoted the expression of MMP-14 by inhibiting TIMP-2,thereby promoting the proliferation of human alveolar epithelial cells and the recovery of mouse lung function after PNX.CONCLUSION:miR-184 promotes CLG after PNX through the TIMP-2/MMP-14 axis.

Objective: To establish a microwave scattering parameter acquisition system to detect cerebral hemorrhage and cerebral ischemia animal models, and to study the non-contact rapid identification methods for the two stroke types. Methods: Rabbits were selected for modeling. Eight rabbits in the cerebral hemorrhage group were injected with autologous blood. Six rabbits in the cerebral ischemia group were treated with bilateral common carotid artery clamping and femoral artery bleeding. The measurement excitation source has a scanning frequency range of 300 kHz to 3 GHz and an intermediate frequency bandwidth of 30 kHz. The signal of the S21 phase was acquired. The collected microwave scattering signals were subjected to mean filtering, principal component analysis dimension reduction, and mean clustering and nearest neighbor analysis to realize the identification of stroke types. Results: The microwave scattering measurement method can reflect the changes of cerebral hemorrhage and cerebral ischemia. The phase of S21 decreases with the increase of blood loss and increases with the increase of ischemic duration. The results of the differential experiment showed that all 14 models were correctly identified. Conclusions The stroke identification system based on microwave scattering measurement can effectively distinguish rabbit cerebral hemorrhage model and ischemic model. This technology is low cost, portable non-invasive, simple operation and fast, which make it be a promising method for identifying pre-hospital stroke types.

Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO₂), fine particulate matter (PM_2.5), and inhalable particulate matter (PM₁₀) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min⁻¹, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO₂ concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM_2.5, and PM₁₀ in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO₂, but 0% for humidity. The overall median (P₂₅, P₇₅) total bacteria count was 177 (138,262) CFU·m⁻³. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.