Background Methicillin-resistant Staphylococcus aureus (MRSA) is an important pathogen for both human bloodstream infections and mastitis in cows. However, little attention has been paid to the cross-host transmission of MRSA from cows to high-risk groups in China. Objective To determine the MRSA colonization rates among dairy cows and dairy farm workers in Xinjiang, identify the antibiotic resistance profiles and molecular characteristics of the isolates, and provide scientific evidence for the formulation of targeted infection control strategies. Method A cross-sectional survey combined with laboratory pathogen analysis was conducted. From June to August 2024, large-scale dairy farms in Xinjiang region were selected as study sites. Nasal swabs (n=96) and skin swabs (n=39) were collected from workers, and bovine nasal swab samples (n=109) were collected simultaneously. All samples were subjected to MRSA isolation, cultivation, and identification, followed by antibiotic susceptibility testing to characterize resistance phenotypes. Staphylococcus aureus protein A (Spa) typing was performed to determine strain genotypes and elucidate MRSA colonization rates and molecular epidemiological patterns. Results A total of 35 MRSA strains was successfully isolated from 244 samples. The MRSA colonization rates among dairy farm workers and dairy cows were 20.83% (20/96) and 12.84% (14/109), respectively, with an overall isolation rate of 14.34% (35/244). Among the workers, the nasal colonization rate was 16.67% (16/96), and the skin colonization rate was 12.82% (5/39). One worker exhibited MRSA colonization at multiple body sites. All MRSA strains were resistant to cefoxitin (100%, 35/35). The resistance rates to erythromycin and clindamycin were 42.86% (15/35) and 34.29% (12/35), respectively. Thirteen strains showed a multidrug-resistant phenotype, whereas all strains were susceptible to vancomycin. The MRSA isolates exhibited high genetic diversity, with 13 Spa types identified, among which t441 was the most prevalent (8 strains). Both t441 and t034 types were detected in samples from both the dairy cows and their handlers. These two Spa types also carried and stably inherited specific resistance combinations, including erythromycin–clindamycin–cefoxitin and ciprofloxacin–erythromycin–clindamycin–gentamicin–cefoxitin–tetracycline, and a statistically significant association was also observed between the two resistance profiles and the bacterial types (P < 0.001). In addition, one novel Spa type strain was identified. Conclusion MRSA colonization rates among dairy cows and dairy farm workers in Xinjiang are relatively high, with evidence of multi-site colonization. The isolates exhibit high levels of multidrug resistance and genetic diversity, indicating a potential risk of cross-host transmission.

OBJECTIVE To explore the indexes affecting the prognosis of the ICU patients with sepsis,establish the nomogram model for prediction of 28-day mortality rate,and validate it.METHODS On the basis of criteria for diagnosis of sepsis(3.0 version),the related data of the sepsis patients were extracted from Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database for retrospective study and were randomly divided into the train-ing set and the validation set in a 7∶3 ratio.Univariate analysis and multivariate Cox proportional risk regression analysis were performed for the screening of influencing factors for prediction of 28-day mortality of the sepsis pa-tients.The nomogram prediction model was established based on the screened factors and was validated by the val-idation set,and the effect was evaluated.RESULTS A total of 7 955 sepsis patients were included.Seven variables were selected to establish the nomogram model for prediction of the 28-day mortality rate.The nomogram showed favorable performance in identification between the two cohorts,the area under receiver operating characteristic curves(AUROCs)were 0.748 and 0.721,respectively.Calibration curves and Hosmer-Lemeshow test(x2=8.689,10.614;P=0.369,0.225)indicated that the model had remarkable effect on correction.With the per-formance of decision curve analysis(DCA)and clinical impact curve(CIC),the model was considered to have high clinical application value.CONCLUSIONS The nomogram model shows favorable performance in prediction of the 28-day mortality rate and calibration capability.It is worthy to be further promoted and applied.

Background Animal farming may affect the structure and diversity of gut microbiota of farm workers, but it needs more studies to provide solid evidence. Objective To analyze the diversity characteristics of gut microbiota in dairy farm workers, dairy cows, and the control population (non-animal contact occupational group), and to assess the impact of dairy farming on the gut microbiota of workers. Methods The 16S rRNA full-length amplicon sequencing technology was used to sequence 60 fecal samples from dairy farm workers, 89 from dairy cows, and 50 from the general population. The gut microbiota structure characteristics, including operational taxonomic units (OTUs), alpha diversity, beta diversity, and the composition of species at the phylum, family, and genus levels were analyzed. The differences in gut microbiota among the three groups of samples were compared to explore the impact of occupational exposure on the gut microbiota structure of dairy farm workers. Results A total of 50478 OTUs were identified in the gut microbiota of farm workers, dairy cows, and the general population, with 23613, 42723, and 16592 OTUs, respectively. The number of shared OTUs between the dairy cows and the general population was 12674 (27.17%), between the general population and the farm workers was 10099 (33.54%), and between the dairy cows and the farm workers was 17690 (36.36%). Compared with the general population, the farm workers and dairy cows showed more shared gut microbiota (P<0.01). The abundance of Firmicutes in the gut of the farm workers was higher than that of the general population (P<0.01), while Actinobacteriota and Proteobacteria were the opposite (P<0.01). The alpha diversity of gut microbiota in the farm workers was different from that of the general population. The ACE index of the farm workers was slightly lower than that of the general population and much lower than that of dairy cows (P<0.05), while their Shannon index was higher than that of the general population but lower than that of dairy cows (P<0.01). The linear discriminant analysis effect size (LefSe) showed that the abundances of Lachnospiraceae and Ruminococcaceae in the gut microbiota of the farm workers were significantly higher than those of the general population, while Streptococcaceae, Lactobacillaceae, Bifidobacteriaceae, Enterobacteriaceae, and Erysipelatoclostridiaceae were lower than those of the general population. Conclusion The dairy farm workers shares a certain proportion of common bacterial communities with dairy cows. Dairy farming operations can affect the structure and diversity of the gut microbiota of workers by increasing the abundances of Lachnospiraceae and Ruminococcaceae, while decreasing the abundances of Streptococcaceae, Lactobacillaceae, Bifidobacteriaceae, Enterobacteriaceae, and Erysipelatoclostridiaceae. The study results provide reference data for further exploring the cross-host transmission of pathogens related to occupational exposure in dairy farming.

Objective:To explore dynamic changes of CD4+T lymphocytes in peripheral blood of patients with bronchial asthma at different periods and its correlation with control level.Methods:A total of 108 patients with bronchial asthma who received medical treatment in Beijing Jishuitan Hospital,Capital Medical University from September 2020 to October 2022 were selected as study objects,and CD4+T level in peripheral blood of patients with asthma at different periods were compared.According to control level,patients were divided into control group(n=68)and uncontrolled group(n=40).Factors affecting control level of patients with bronchial asthma were analyzed,and prediction model of column graph was constructed and evaluated.Results:CD4+T level in periph-eral blood of patients with acute attack of bronchial asthma was significantly lower than that in chronic duration stage and clinical control stage,CD8+T and CD3+T levels were significantly higher than that in chronic duration stage and clinical control stage(P<0.05).Allergic rhinitis,smoking history,acute respiratory tract infection and residential air pollution were uncontrolled risk factors of patients with bronchial asthma,CD4+T and regular use of inhaled corticosteroids were protective factors(P<0.05).The above indexes were used to construct a line chart model.After internal verification(Bootstrap resamplage 1 000 times),it was found that AUC of this model was 0.845(95%CI:0.734～0.885),sensitivity and specificity were 85.7%and 88.6%,respectively.Conclusion:CD4+T lymphocytes in peripheral blood of patients with acute asthma are significantly lower than patients with chronic asthma and healthy people.Allergic rhinitis,smoking history,acute respiratory tract infection and residential air pollution are uncontrolled risk factors of patients with bronchial asthma,CD4+T and regular use of inhaled corticosteroids are protective factors.

Objective This study aims to develop and evaluate an emergency medical information management system for the medical rescue of mass casualties in public health emergencies at civil airports,focusing on on-site triage and emergency treatment.Methods A retrospective analysis was conducted to compare the effects of on-site emergency drills for mass-casualty rescue in public health emergencies at the Guangzhou Baiyun International Airport Emergency Center in 2018 and 2024.The 2018 drills involving 21 casualties for which conventional emergency medical rescue equipment and procedures were utilized were set as a control group,while the 2024 drills involving 19 casualties for which an emergency medical information processing system were set as an experimental group.Data were analyzed using descriptive epidemiology,chi-square test,and t-test in terms of in-jury conditions,triage time,and total transfer and handover time.By integrating the entire process and all elements to achieve in-formation-based handling in the practical emergency medical rescue drills,the role and advantages of the emergency medical in-formation processing system in scientific command,rapid response,rapid triage,and emergency treatment for mass casualties in public health emergencies were examined.Results The two drills had no difference in the number of casualties(x2=0.054,P=0.973).The time spent on casualty triage and the total time for transfer and handover in 2024 were significantly reduced com-pared with those in 2018(t′=18.992,14.787,both P＜0.001).Conclusion The emergency medical information management system enhances the command,response capabilities and rescue efficiency and level of emergency medical rescue of mass casual-ties in public health emergencies at civil airports.It has promoted the informatization,digitalization and intelligence construction of emergency medical rescue for public health emergencies at civil airports in China,thereby offering a reference for optimizing the informatization model of emergency medical rescue at civil airports in China.

To investigate the effect of capsaicin(CAP)on the replication of bovine viral diarrhea vi-rus(BVDV).Bovine nasal turbinate osteoblasts(BT)infected with BVDV served as the research model,and viral gene and protein levels were evaluated using RT-qPCR and Western blot.Moreo-ver,molecular docking,molecular dynamics simulation,and oil red O staining were applied to ana-lyze the mechanism by which CAP inhibits BVDV replication.The results revealed no significant effect of CAP at 6.25,12.5,25,and 50 mg/L on the viability of BT cells.CAP was found to signifi-cantly inhibit BVDV 5′UTR RNA and E2 protein levels,according to the antiviral effect study.Molecular docking and molecular dynamics simulations indicated that CAP could bind with high affinity to the active site of PI3K.Additional mechanistic studies indicated that CAP significantly reduced the activation of the PI3K/AKT signaling pathway triggered by BVDV.Furthermore,CAP notably decreased the mRNA levels of FASN,SREBP-1,and ACC-1,which are crucial fatty acid synthesis enzymes in the downstream PI3K/AKT signaling pathway,as well as the levels of lipid droplets.Interestingly,the addition of exogenous oleic acid greatly diminished the antiviral effec-tiveness of CAP and significantly lowered the mRNA levels of IFN-α and IFN-β.The results reveal for the first time that CAP can inhibit BVDV replication,establishing a foundation for its preven-tion and the development of feed additives.

Objective : To investigate the impact of fecal microbiota transplantation (FMT) on the composition of 15 intestinal-derived estrogens and their metabolites (EMs) and its correlation with non-alcoholic fatty liver disease (NAFLD) . Methods: Thirty male C57BL/6J mice were divided into a normal control group (Control) , a high- sugar high-fat diet combined with low-dose CCl4 -induced NAFLD model group ( Model) , and a group of model mice treated with fecal microbiota from normal female mice (FMT) . After 17 weeks of modeling , liver pathology in each group was observed using HE staining , biochemical methods were used to measure serum alanine aminotrans- ferase (ALT) and aspartate aminotransferase (AST) levels , as well as hepatic triglyceride (TG) and total choles- terol (TC) levels. and the content of 15 EMs in portal vein serum was detected using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS) . The correlation between disease phenotype and intesti- nal EMs was analyzed using Pearson ′s method. Results: The NAFLD model was successfully established , and the FMT group showed improved liver structure and morphology , with significant decreases in liver function and hepatic lipids compared to the Model group. In NAFLD mice , the contents of E1 , E2 , and their 2- and 4-position metabo- lites in portal vein blood serum was reduced compared to normal mice , while the content of most 16- and 17-posi- tion metabolites ( except 16α-OHE1) increased compared to normal mice. Correlation analysis showed that ALT was strongly positively correlated with E3 and 17-epiE3 , and strongly negatively correlated with E1 , E2 , 4- MeOE1 , and 16α-OHE1 . The TC was strongly positively correlated with 17-epiE3 and strongly negatively correla- ted with E1 , 4-MeOE1 , and 16α-OHE1 . Conclusion FMT restores the disrupted composition of intestinal EMs and improves NAFLD.

Aim To investigates whether sphingosine-1-phosphate(S1P)regulates the expression of mitochon-drial calcium uniporter(MCU)via the sphingosine-1-phosphate receptor/proline-rich tyrosine kinase 2(S1PR/Pyk2)sig-naling pathway,thereby reducing oxidative stress-induced mitochondrial damage and inhibiting mitochondria-related apopto-sis.Methods Human umbilical vein endothelial cells(HUVEC)were subjected to oxidative damage using hydrogen peroxide(H2O2)as a model.Different concentrations of S1P were applied to the oxidative damaged HUVEC.Addi-tionally,the S1PR1 agonist SEW2871,the S1PR1 inhibitor W146,and the Pyk2 inhibitor PF-562271 were used to explore the specific mechanism of S1P action.Results S1P treatment significantly alleviated oxidative damage in HUVEC and was accompanied by an increase in S1PR1 expression(P<0.05),while S1PR3 expression remained unchanged.Mean-while,the expression levels of Pyk2 and MCU decreased(P<0.05).SEW2871 further reduced mitochondrial damage,whereas W146 exacerbated it(P<0.05).Furthermore,the application of the Pyk2 inhibitor PF-562271 also reduced H2O2-induced mitochondrial damage(P<0.05),further confirming the role of Pyk2 in this process.Conclusion S1P reduces H2O2-induced mitochondrial damage and inhibits mitochondria-related apoptosis in HUVEC by suppressing Pyk2 expression via S1PR1.

Objective:To investigate the correlation between vitamin D levels and thyroid hormone sensitivity in euthyroid individuals.Methods:This cross-sectional study included 5 894 euthyroid individuals who underwent health examinations at the Department of Health Management, Peking Union Medical College Hospital, from December 2023 to February 2024. Thyroid feedback quantile-based index (TFQI), TSH index (TSHI), thyrotroph thyroxine resistance index (TT4RI), and the ratio of free triiodothyronine (FT3)/free thyroxine (FT4) were calculated to assess thyroid hormone sensitivity. Participants were categorized into vitamin D deficiency and non-deficiency groups based on serum 25(OH)D levels. The differences in thyroid hormone sensitivity indices and other clinical characteristics between the two groups were compared. Multivariate logistic regression models were used to analyze the association between vitamin D levels and thyroid hormone sensitivity, and stratified analysis was conducted to explore the association in different genders.Results:Among the study participants, 4 731 (80.3%) had vitamin D deficiency. Compared with the non-deficient group, the deficient group had a lower TFQI (-0.03(-0.31, 0.23) and -0.01(-0.28, 0.27)) ( Z=-2.130, P=0.033) and a higher FT3/FT4 ratio ((0.36±0.04) and (0.35±0.04)) ( t=-4.592, P<0.001). After adjusting for confounding factors including gender and age, the risk of impaired central and peripheral thyroid hormone sensitivity significantly increased in the non-deficient group (TFQI ( OR=1.16, 95% CI: 1.01-1.34); FT3/FT4 ( OR=1.23, 95% CI: 1.05-1.45)) (all, P<0.05). Conclusion:In euthyroid individuals, people with higher vitamin D levels have a higher risk of impaired thyroid hormone sensitivity.

Objective:To evaluate the effectiveness of enhanced "Presentation-Assimilation-Discussion (PAD) class" model in electrocardiogram (ECG) internship teaching in the department of cardiovascular medicine and to improve the ECG interpretation and clinical competency of interns.Methods:A total of 200 clinical undergraduate interns enrolled from September 2022 to August 2024 were divided into a control group (traditional teaching, n=100) and an experimental group (enhanced "PAD class" model, n=100). The enhanced "PAD class" model adopted a "focused lecture, structured internalization, and case-driven discussion" approach, incorporating artificial intelligence-assisted real-time feedback and targeted task design. Post-internship evaluations compared the scores of foundational skills (ECG interpretation accuracy and standardized ECG operation), clinical competencies (clinical decision-making, critical value recognition, and diagnostic reasoning), comprehensive evaluation, and assessment of teaching effectiveness. SPSS 26.0 was used for the chi-square test and t-test. Results:The experimental group demonstrated significantly superior performance in foundational skills [e.g., ECG interpretation accuracy: (97.63±1.35) vs. (90.54±4.08)], clinical competencies [e.g., clinical decision-making: (93.45±3.18) vs. (82.17±5.62)], and comprehensive evaluation [(97.96±1.06) vs. (90.94±3.49)] (all P<0.05). In teaching effectiveness evaluation, satisfaction was significantly higher in the experimental group across all seven metrics such as stimulated learning interest and clinical thinking ( P<0.05). Conclusions:The enhanced "PAD class "model, through artificial intelligence empowerment and case-driven discussions, can significantly improve ECG teaching outcomes and clinical decision-making skills, demonstrating its potential for broader application in internship teaching in the department of cardiovascular medicine.