Objective To study the effect of infrasound on expression of calmodulin-dependent protein kinase II (CaMKII) and tau pro-tein in hippocampus of rats. Methods Fifty-six male Sprague-Dawley rats were randomized into control group (n=8), 1-day group (n=8), 7-day group (n=8) and 14-day group (n=32), and the 14-day group was subgrouped as 1-hour, 6-hour, 24-hour, 48-hour subgroups, naming after the time after infrasound exposure, 8 in each subgroup. All the test groups were put in an infrasound field with 8 Hz, 130 dB for 2 hours daily, while the control group was put in the infrasound instrument without infrasound exposure for 2 hours daily. The expression of pT286-CaMKII and tau protein in hippocampus was detected with immunohistochemisty, Western blotting and enzyme-linked immunoabsor-bent assay. Results The expression of pT286-CaMKII was the most in 14-day group (F>14.912, P<0.001), as well as the expression of tau pro-tein (F>36.229, P<0.001), and secondary in 7-day group (P<0.05). For 14-day group, the expression of tau protein was the most in 1-hour and 6-hour subgroups, and dropped down in 24-hour subgroup, although more than that in the control group (P<0.05). Conclusion Exposure of 8 Hz, 130 dB infrasound may induce phosphorylation of CaMKII and tau protein, and the expression of tau protein in hippocampal cells in rat, which may disturb their learning and memory function.

Objective The staffs of biosafety level 3 laboratories (BSL-3) face with the stress of handling highly pathogenic microbs and special laboratory environment.The job stress may result in accidents in the laboratory as negative factor for the risk control.The research may provide support for the control of risk in biosafety laboratories.Methods In order to assess the job stress in the staff in BSL-3 laboratory, we modified “the Chinese simple job stress questionnaire”based on the theory of the JDC mode and ERI mode, and an investigation was carried out.The present study included the staffs (87 employees) from six BSL-3 laboratories located in five provinces ( Shanghai, Zhejiang, Jiangsu, Fujian and Wuhan) .Results Analysis of the data indicates that variables of age, working years, job duties, manipulating of animals, type of microorganisms and transmission route have a significant influence on the level of job stress in BSL-3 laboratory.Conclusion The BSL-3 laboratory staff in higher stress level have the characteristicses:20-39 years old, short work years, regular staff, operating on air-borne microbiology, manipulating of animals and operating on one more microbiology.

Objective:To investigate and analyze the distribution of pathogens and to explore the related risk factors of infections in burn patients in order to provide theoretical basis for effective prevention and treatment of wound infections in burn patients.Methods:A total of 245 burn patients, admitted to the PLA 926 Hospital from January 2016 to December 2020, were selected. The pathogens and antimicrobial susceptibility of the wound secretions were tested and the clinical data of burn patients were collected. The risk factors of burn wound infection were screened by single factor comparison method and multivariate logistic regression.Results:Among the 245 burn patients, 184 patients were with bacterial infections, the infection rate was 75.10% (184/245), and 79 patients were multi-drug resistant, accounting for 42.93%(79/184). A total of 367 strains of pathogens were isolated from wound secretions in the 184 patients, among which 72 (19.62%, 72/367) strains were gram-positive bacteria, mainly Staphylococcus aureus (11.44%, 42/367), 283 (77.11%, 283/367) strains were gram-negative bacteria, mainly Pseudomonas aeruginosa (20.16%, 74/367) and Acinetobacter baumannii (19.89%, 73/367), and 12 (3.27%, 12/367) strains were fungi, mainly Aspergillus (1.91%, 7/367). The results of drug sensitivity tests showed that the pathogens of burn patients were highly resistant to common antibiotics. Monofactor analysis showed that age(χ 2=8.629, P=0.013), burn area (χ 2=21.504, P=0.002), wound depth (χ 2=17.139, P=0.000), hypovolemic shock (χ 2=21.112, P=0.000) and length of hospital stay (χ 2=21.967, P=0.000) were the related risk factors for wound infections. Multivariate logistic regression analysis showed that ages below 4 years old or over 69 years old ( OR=8.414,95% CI:2.971-23.830, P=0.000), burn area>30% ( OR=5.672,95% CI:1.029-31.272, P=0.046), Ⅲ degree wound ( OR=4.069,95% CI:1.396-11.858, P=0.010), length of hospital stay≥15 days ( OR=2.593,95% CI:1.091-6.162, P=0.031) were the independent risk factors of wound infections in burn patients. Conclusions:The incidence of wound infection and multi-drug resistance is relatively high in burn patients, and the pathogens are mainly gram-negative bacteria. Age, burn area, burn wound depth and length of hospital stay are the high-risk factors for wound infections, and taking effective preventive measures according to risk factors can reduce the occurrence of wound infections and hospital infections.

Objective To identify the N6-methyladenosine (m6A)-related characteristic genes analyzed by gene clustering and immune cell infiltration in myocardial ischemia-reperfusion injury (MI/RI) after cardiopulmonary bypass through machine learning. Methods The differential genes associated with m6A methylation were screened by the dataset GSE132176 in GEO, the samples of the dataset were clustered based on the differential gene expression profile, and the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the differential genes of the m6A cluster after clustering were performed to determine the gene function of the m6A cluster. R software was used to determine the better models in machine learning of support vector machine (SVM) model and random forest (RF) model, which were used to screen m6A-related characteristic genes in MI/RI, and construct characteristic gene nomogram to predict the incidence of disease. R software was used to analyze the correlation between characteristic genes and immune cells, and the online website was used to build a characteristic gene regulatory network. Results In this dataset, a total of 5 m6A-related differential genes were screened, and the gene expression profiles were divided into two clusters for cluster analysis. The enrichment analysis of m6A clusters showed that these genes were mainly involved in regulating monocytes differentiation, response to lipopolysaccharides, response to bacteria-derived molecules, cellular response to decreased oxygen levels, DNA transcription factor binding, DNA-binding transcription activator activity, RNA polymerase Ⅱ specificity, NOD-like receptor signaling pathway, fluid shear stress and atherosclerosis, tumor necrosis factor signaling pathway, interleukin-17 signaling pathway. The RF model was determined by R software as the better model, which determined that METTL3, YTHDF1, RBM15B and METTL14 were characteristic genes of MI/RI, and mast cells, type 1 helper lymphocytes (Th1), type 17 helper lymphocytes (Th17), and macrophages were found to be associated with MI/RI after cardiopulmonary bypass in immune cell infiltration. Conclusion The four characteristic genes METTL3, YTHDF1, RBM15B and METTL14 are obtained by machine learning, while cluster analysis and immune cell infiltration analysis can better reveal the pathophysiological process of MI/RI.

OBJECTIVE To optimize the pr eparation technology of the baicalin lipid nano foam aerosol （BC-LN-FA）. METHODS Baicalin lipid nanoparticle （BC-LN）and BC-LN-FA were prepared by the thin film dispersion method and homogeneous emulsification method ，respectively，using baicalin （BC） as the model drug. The preparation technology was optimized by Box-Behnken design-response surface methodology using particle size and encapsulation efficiency （EE）as indexes ，with dosage ， emulsifier dosage ，co-emulsifier dosage and homogenization time as factors. The morphology ，particle size ，polymerdispersity index（PDI），EE，the viscosity ，the foam dissolution rate and in vitro transdermal release of BC-LN-FA were characterized. RESULTS The optimal technology included 25 mg BC ，40 mg emulsifier （mass ratio of stearic acid-soybean lecithin-glycerol was 1∶1∶1），30 mg co-emulsifier （mass ratio of octadecanol-lactic acid was 1∶1），homogenization time of 20 min. Results of 3 times of validation tests showed that particle size of prepared BC-LN-FA was （151.70±2.40）nm，EE was （68.62±1.16）％；the deviation of them from the predicted value （particle size of 150.80 nm，EE of 67.02％）were 0.60％ and 2.39％ respectively. The BC-LN-FA prepared by the optimal process was light yellow opalescence ，uniform in particle size and round-like in shape. The viscosity，the foam dissolution rate ，the content of BC and PDI were （122.92±5.09）mPa·s，（65.32±3.22）％，（7.01±0.12）％ and（0.199±0.006），respectively. At 48 h，the cumulative release rates of BC-LN-FA in phosphate buffer saline （PBS）at pH 7.4， 6.8，5.0 were（54.12±2.69）％，（57.85±4.25）％ and（59.47±1.83）％，respectively；those of free BC in PBS at pH 7.4 was only （15.04±1.43）％. CONCLUSIONS The optimized technology is stable and feasible. Prepared BC-LN-FA has a uniform particle size，high digestion rate and certain viscosity.

BACKGROUND: Screening using low-dose computed tomography (LDCT) is a more effective approach and has the potential to detect lung cancer more accurately. We aimed to conduct a meta-analysis to estimate the accuracy of population-based screening studies primarily assessing baseline LDCT screening for lung cancer. METHODS: MEDLINE, Excerpta Medica Database, and Web of Science were searched for articles published up to April 10, 2022. According to the inclusion and exclusion criteria, the data of true positives, false-positives, false negatives, and true negatives in the screening test were extracted. Quality Assessment of Diagnostic Accuracy Studies-2 was used to evaluate the quality of the literature. A bivariate random effects model was used to estimate pooled sensitivity and specificity. The area under the curve (AUC) was calculated by using hierarchical summary receiver-operating characteristics analysis. Heterogeneity between studies was measured using the Higgins I2 statistic, and publication bias was evaluated using a Deeks' funnel plot and linear regression test. RESULTS: A total of 49 studies with 157,762 individuals were identified for the final qualitative synthesis; most of them were from Europe and America (38 studies), ten were from Asia, and one was from Oceania. The recruitment period was 1992 to 2018, and most of the subjects were 40 to 75 years old. The analysis showed that the AUC of lung cancer screening by LDCT was 0.98 (95% CI: 0.96-0.99), and the overall sensitivity and specificity were 0.97 (95% CI: 0.94-0.98) and 0.87 (95% CI: 0.82-0.91), respectively. The funnel plot and test results showed that there was no significant publication bias among the included studies. CONCLUSIONS Baseline LDCT has high sensitivity and specificity as a screening technique for lung cancer. However, long-term follow-up of the whole study population (including those with a negative baseline screening result) should be performed to enhance the accuracy of LDCT screening.
Humans ; Adult ; Middle Aged ; Aged ; Lung Neoplasms/diagnostic imaging* ; Early Detection of Cancer ; Sensitivity and Specificity ; Mass Screening ; Tomography, X-Ray Computed