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.

Background Under intensive dairy farming conditions, Enterococcus spp. can be transmitted between animals, farm workers, and the environment via multiple vectors such as feces, soil, water, air, and farming equipment, posing a potential threat to public health. Objective To elucidate the prevalence, distribution, and antimicrobial resistance profiles of Enterococcus faecalis (E. faecalis) and Enterococcus faecium (E. faecium) among farm workers, dairy cattle, and the farm environment in Xinjiang, and to assess the risk of their cross-host transmission. Methods From May 2024 to January 2025, a total of 317 samples were collected from 11 large-scale dairy farms in Xinjiang, China, including feces from farm workers (n=130) and dairy cattle (n=154), and environmental samples (n=33). E. faecalis and E. faecium were isolated and identified, followed by antimicrobial susceptibility testing and multilocus sequence typing (MLST) to analyze their molecular characteristics. Results A total of 183 Enterococcus isolates were obtained (66 E. faecalis and 117 E. faecium isolated). The isolation rates of both species showed statistically significant differences among the three sources (χ²=29.21, P=0.003). Antimicrobial resistance analysis revealed that E. faecalis generally exhibited higher resistance rates across multiple antibiotic classes than E. faecium. High resistance to rifampicin was observed across all sources (50.00%–81.25%), with statistical variation among origins (χ²=8.03, P=0.024). Multidrug-resistant strains accounted for 69.10% of the isolates. Multidrug resistance patterns in E. faecium varied significantly by source (χ²=27.19, P=0.014), and one isolate displayed resistance to eight antibiotic classes. MLST indicated high genetic diversity; E. faecalis was dominated by ST472 and ST227 of which the distrubution was significantly different among sources, while E. faecium primarily clustered into clonal complexes CC94 (centered on ST94) and CC17 (centered on ST22). Conclusion Resistant Enterococcus strains exhibit cross-transmission among farm workers, animals, and the environment. Under the "One Health" framework, standardized farming protocols and prudent antimicrobial use are essential to disrupt the transmission chain of resistant clones and mitigate the spread of antimicrobial resistance at its source.

Background Under intensive dairy farming conditions, Enterococcus spp. can be transmitted between animals, farm workers, and the environment via multiple vectors such as feces, soil, water, air, and farming equipment, posing a potential threat to public health. Objective To elucidate the prevalence, distribution, and antimicrobial resistance profiles of Enterococcus faecalis (E. faecalis) and Enterococcus faecium (E. faecium) among farm workers, dairy cattle, and the farm environment in Xinjiang, and to assess the risk of their cross-host transmission. Methods From May 2024 to January 2025, a total of 317 samples were collected from 11 large-scale dairy farms in Xinjiang, China, including feces from farm workers (n=130) and dairy cattle (n=154), and environmental samples (n=33). E. faecalis and E. faecium were isolated and identified, followed by antimicrobial susceptibility testing and multilocus sequence typing (MLST) to analyze their molecular characteristics. Results A total of 183 Enterococcus isolates were obtained (66 E. faecalis and 117 E. faecium isolated). The isolation rates of both species showed statistically significant differences among the three sources (χ²=29.21, P=0.003). Antimicrobial resistance analysis revealed that E. faecalis generally exhibited higher resistance rates across multiple antibiotic classes than E. faecium. High resistance to rifampicin was observed across all sources (50.00%–81.25%), with statistical variation among origins (χ²=8.03, P=0.024). Multidrug-resistant strains accounted for 69.10% of the isolates. Multidrug resistance patterns in E. faecium varied significantly by source (χ²=27.19, P=0.014), and one isolate displayed resistance to eight antibiotic classes. MLST indicated high genetic diversity; E. faecalis was dominated by ST472 and ST227 of which the distrubution was significantly different among sources, while E. faecium primarily clustered into clonal complexes CC94 (centered on ST94) and CC17 (centered on ST22). Conclusion Resistant Enterococcus strains exhibit cross-transmission among farm workers, animals, and the environment. Under the "One Health" framework, standardized farming protocols and prudent antimicrobial use are essential to disrupt the transmission chain of resistant clones and mitigate the spread of antimicrobial resistance at its source.

Objective: To compare the changes in the concentration of relevant growth factors released from platelet-rich plasma (PRP) stored at -80℃ by cryopreservation and at 4℃ by refrigerated lyophilization over 2 years, aiming to provide a theoretical basis for prolonging PRP storage duration. Methods: PRP (n=15) was separated using a blood cell separator and stored under -80℃ cryopreservation (F-PRP group) and 4℃ refrigerated freeze-drying conditions (FD-PRP group). The contents of growth factors (PDGF-AA, PDGF-BB, EGF, TGF-β1, and VEGF) in both groups were measured by ELISA at 1, 3, 6, 9, 12 and 24 months. Results: PDGF-AA and VEGF maintained good stability in both groups for up to 24 months. PDGF-BB and TGF-β1 showed high stability in the first 12 months but their stability decreased gradually from 12th to 24th months. EGF demonstrated good stability in the first 6 months, and its stability gradually decreased from the 9th to 24th months. Comparing the F-PRP and FD-PRP groups, the concentrations of the five growth factors in the FD-PRP group were either not statistically different or higher than those in the F-PRP group at all time points. Specifically, the concentrations of EGF were significantly higher in the FD-PRP group at all time points. Conclusion: Both -80℃ freezing and 4℃ freeze-drying enable long-term preservation of PRP. Freeze-drying imposes less stringent storage requirements and facilitates growth factor compared to frozen storage.

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 observe the value of ultrasonic parameters of diaphragm motion combined with BODE index for predicting acute exacerbation of chronic obstructive pulmonary disease(COPD).Methods Eighty COPD patients were retrospectively collected and divided into stable group(n=45)and acute exacerbation group(n=35).Ultrasonic parameters of diaphragm motion,including diaphragm excursion(DE)under quiet breathing(QB)and deep breathing(DB),i.e.DEQB and DEDB were measured.The general data,ultrasound parameters of diaphragm motion,and BODE index scores were compared between groups.Then logistic regression analysis was used to identify factors which could be used to independently predict acute exacerbations of COPD.The predicting performance of ultrasound parameters of diaphragm motion,BODE index and their combination were evaluated with receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results Compared with stable COPD group,acute exacerbation group had higher BMI and BODE index scores(both P＜0.05),as well as larger DEQB but smaller DEDB(both P＜0.05).DEDB and BODE index were both independent predicting factors of acute exacerbation of COPD,while increased DEDB indicated decreased risk of acute exacerbation(OR[95％CI]=0.673[0.493,0.918],P＜0.05),whereas increased BODE index suggested higher risk(OR[95％CI]=3.678[1.061,12.746],P＜0.05).AUC for DEDB and BODE index alone for predicting acute exacerbation of COPD was 0.788 and 0.799,respectively,and of their combination was 0.979,significant higher than that of each alone(both P＜0.05).Conclusion Ultrasonic parameters of diaphragm motion could be used to evaluate diaphragm function in COPD patients.Combination of DEDB and BODE index had better performances in predicting acute exacerbation of COPD.

Objective:To investigate the differences of the glymphatic system (GS) function between patients with mesial temporal lobe epilepsy with hippocampal sclerosis (mTLE-HS) and healthy controls and between different seizure types by using diffusion tensor imaging along perivascular space (DTI-ALPS), and to analyze the correlation between GS function and the course of disease, as well as the efficacy of predicting the surgical outcome.Methods:This study was a cross-sectional study. A total of 171 patients with mTLE-HS (mTLE-HS group) and 75 healthy volunteers (HC group) were retrospectively enrolled from July 2009 to July 2021 at Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University. The general information of all subjects, such as seizure type (partial seizure, secondary generalized seizure), surgical outcome, etc., was analyzed. The 3D magnetization prepared rapid gradient echo T 1WI and DTI sequence images were collected. The VBM analysis method was used to segment cerebrospinal fluid and calculate the volume. The ALPS index of the bilateral brain was calculated using the Atlas-based DTI-ALPS method. Independent sample t-test or paired t test were used to compare the ALPS index between the mTLE-HS group and HC group, and between patients with different seizure types. Pearson correlation analysis was used to analyze the correlation between bilateral ALPS index and disease duration in mTLE-HS group. The predictive value of the ALPS index for surgical outcomes was evaluated by receiver operating characteristics curve and area under the curve. Results:Among the 171 mTLE-HS patients, 98 patients were mTLE with left-side HS (mTLE-LHS) and 73 patients were mTLE with right-side HS (mTLE-RHS); 37 patients underwent surgical treatment, including 27 with good prognosis and 10 with poor prognosis. Compared with the HC group, the left-side ALPS index of mTLE-LHS and mTLE-RHS were both decreased ( P<0.05). The right-side ALPS index in mTLE-RHS was lower than that in the HC group ( P<0.001). There was no significant difference in the right-side ALPS index between mTLE-LHS and HC group ( P=0.080). The ALPS index on the affected side of patients with secondary generalized seizures was significantly lower than that of patients with only partial seizures (all P<0.05), but the difference in ALPS index on the healthy side was not statistically significant( P>0.05). The left-side and right-side ALPS index in mTLE-LHS were negatively correlated with disease duration ( r=-0.272, P=0.007; r=-0.307, P=0.002), but no significant correlation was found between the left-side or right-side ALPS index in mTLE-RHS (all P>0.05). The DTI-ALPS index on the affected side in mTLE-HS patients exhibited good diagnostic accuracy for surgical outcome classification, with an area under the curve of 0.778. Conclusions:The patients with mTLE-HS exhibit dysfunction of the GS, and the degree of impairment is related to the type of seizure and the course of epilepsy. The ALPS index, which characterizes the function of GS, demonstrates good diagnostic accuracy for classifying surgical outcomes.

Objective:To evaluate the topological alterations of resting-state brain networks in patients with idiopathic generalized epilepsy with generalized tonic-clonic seizure (IGE-GTCS) using minimum spanning tree (MST) based on graph theoretic analysis, and to further analyze the relationships between topological features, duration, and antiepileptic drug response.Methods:This study was a cross-sectional study. Retrospectively, 75 IGE-GTCS patients and 37 healthy controls (HC) who underwent brain MR imaging at the Affiliated of Nanjing University Medical School Drum Tower Hospital from January 2013 to December 2020 were enrolled. IGE-GTCS patients were grouped into well-controlled subgroup (WC; n=55) and drug-resistant subgroup (DR; n=20) according to their response to antiepileptic drugs. Firstly, the time series correlations between 116 regions of the whole brain of each subject were calculated to construct functional connectivity matrices. For each functional connectivity matrix, the Kruskal algorithm was used to MST, and the topological metrics of each MST were calculated, including leaf fraction, tree hierarchy, and diameter. The comparison of MST topological metrics between the two groups was performed using two-sample t-test. Pearson correlation analysis was used to calculate the correlation between disease duration and MST metrics in the WC subgroup and the DR subgroup. Results:Compared with the HC group, the MST leaf fraction ( t=2.27, P=0.025) increased in the IGE-GTCS patient group, and the diameter decreased ( t=-2.24, P=0.027), there was no statistically significant difference in tree hierarchy between IGE-GTCS patient group and HC group ( t=0.98, P=0.328). The MST leaf fraction ( t=-2.39, P=0.019) and tree hierarchy ( t=-2.24, P=0.027) in the WC subgroup was decreased compared with the DR subgroup, while there was no statistically significant difference in diameter between WC subgroup and DR subgroup ( P=0.093). The correlation analysis showed the MST diameter in WC subgroup was significantly correlated with disease duration ( r=0.452, P<0.001), while the MST diameter in DR subgroup was not significantly correlated with disease duration ( r=-0.062, P=0.847). Conclusions:Patients with IGE-GTCS exhibit specific alterations in the global topology of brain network, characterized by increased centralization and efficiency. The effective antiepileptic drug treatment is associated with a recovery of brain network abnormalities.

Objective To observe the value of ultrasonic parameters of diaphragm motion combined with BODE index for predicting acute exacerbation of chronic obstructive pulmonary disease(COPD).Methods Eighty COPD patients were retrospectively collected and divided into stable group(n=45)and acute exacerbation group(n=35).Ultrasonic parameters of diaphragm motion,including diaphragm excursion(DE)under quiet breathing(QB)and deep breathing(DB),i.e.DEQB and DEDB were measured.The general data,ultrasound parameters of diaphragm motion,and BODE index scores were compared between groups.Then logistic regression analysis was used to identify factors which could be used to independently predict acute exacerbations of COPD.The predicting performance of ultrasound parameters of diaphragm motion,BODE index and their combination were evaluated with receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results Compared with stable COPD group,acute exacerbation group had higher BMI and BODE index scores(both P＜0.05),as well as larger DEQB but smaller DEDB(both P＜0.05).DEDB and BODE index were both independent predicting factors of acute exacerbation of COPD,while increased DEDB indicated decreased risk of acute exacerbation(OR[95％CI]=0.673[0.493,0.918],P＜0.05),whereas increased BODE index suggested higher risk(OR[95％CI]=3.678[1.061,12.746],P＜0.05).AUC for DEDB and BODE index alone for predicting acute exacerbation of COPD was 0.788 and 0.799,respectively,and of their combination was 0.979,significant higher than that of each alone(both P＜0.05).Conclusion Ultrasonic parameters of diaphragm motion could be used to evaluate diaphragm function in COPD patients.Combination of DEDB and BODE index had better performances in predicting acute exacerbation of COPD.

Objective:To explore the changes of brain excitation/inhibition balance and gray matter volume (GMV) and their correlations with clinical features in benign childhood epilepsy with centrotemporal spikes (BECTS).Methods:A cross-sectional study was performed; 83 BECTS children enrolled from Department of Diagnostic Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2015 to January 2024 were selected as BECTS group. During the same period, 101 age- and gender-matched healthy children were recruited as healthy control group through advertisements in local primary schools. Data of conventional MRI and resting-state functional MRI (rs-fMRI) of the two groups were collected. Whole brain GMV was analyzed by voxel-based morphometry (VBM), and Hurst index was calculated based on time series data of blood oxygen level dependent (BOLD) signal of rs-fMRI. Correlations of GMV and Hurst index with disease duration and onset age in children with BECTS were explored by Pearson correlation analysis.Results:Compared with the healthy control group, the BECTS group had significantly increased GMV and decreased Hurst index in the bilateral Rolandic region ( P<0.05). Pearson correlation analysis showed that in the BECTS group, GMV in bilateral Rolandic region was negatively correlated with onset age ( r=-0.267, P=0.015) and positively correlated with disease course ( r=0.267, P=0.015); Hurst index in bilateral Rolandic region was positively correlated with onset age ( r=0.323, P=0.003) and negatively correlated with disease course ( r=-0.240, P=0.029); Hurst index was negatively correlated with GMV in bilateral Rolandic region ( r=-0.328, P=0.003). Conclusion:BECTS children have excitation/inhibition imbalance in epilepsy-related regions and cortical structural delay, and both of them are related to onset age and disease course.