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.

Bacterial infection is a major threat to global public health, and can cause serious diseases such as bacterial skin infection and foodborne diseases. It is essential to develop a new method to rapidly diagnose clinical multiple bacterial infections and monitor food microbial contamination in production sites in real-time. In this work, we developed a 4-mercaptophenylboronic acid gold nanoparticles (4-MPBA-AuNPs)-functionalized hydrogel microneedle (MPBA-H-MN) for bacteria detection in skin interstitial fluid. MPBA-H-MN could conveniently capture and enrich a variety of bacteria within 5 min. Surface enhanced Raman spectroscopy (SERS) detection was then performed and combined with machine learning technology to distinguish and identify a variety of bacteria. Overall, the capture efficiency of this method exceeded 50%. In the concentration range of 1 × 10⁷ to 1 × 10¹⁰ colony-forming units/mL (CFU/mL), the corresponding SERS intensity showed a certain linear relationship with the bacterial concentration. Using random forest (RF)-based machine learning, bacteria were effectively distinguished with an accuracy of 97.87%. In addition, the harmless disposal of used MNs by photothermal ablation was convenient, environmentally friendly, and inexpensive. This technique provided a potential method for rapid and real-time diagnosis of multiple clinical bacterial infections and for monitoring microbial contamination of food in production sites.

Given the increasing concern regarding antibacterial resistance, the antimicrobial properties of naphthoquinones have recently attracted significant attention. While 1,4-naphthoquinone and its derivatives have been extensively studied, the antibacterial properties of 5,8-dihydroxy-1,4-naphthoquinone derivatives remain relatively unexplored. This study presents a comprehensive in vitro and in vivo analysis of the antibacterial activity of 35 naturally sourced and chemically synthesized derivatives of 5,8-dihydroxy-1,4-naphthoquinone. Kirby-Bauer antibiotic testing identified three compounds with activity against methicillin-resistant Staphylococcus aureus (MRSA), with one compound (PNP-02) demonstrating activity comparable to vancomycin in minimum inhibitory concentration, minimum bactericidal concentration (MBC), and time-kill assays. Microscopic and biochemical analyses revealed that PNP-02 adversely affects the cell wall and cell membrane of MRSA. Mechanistic investigations, including proteomic sequencing analyses, Western blotting, and RT-qPCR assays, indicated that PNP-02 compromises cell membrane integrity by inhibiting arginine biosynthesis and pyrimidine metabolism pathways, thereby increasing membrane permeability and inducing bacterial death. In an in vivo mouse model of skin wound healing, PNP-02 exhibited antibacterial efficacy similar to vancomycin. The compound demonstrated low toxicity to cultured human cells and in hemolysis assays and remained stable during serum incubation. These findings suggest that PNP-02 possesses promising bioactivity against MRSA and represents a potential novel antibacterial agent.
Methicillin-Resistant Staphylococcus aureus/genetics* ; Anti-Bacterial Agents/chemistry* ; Naphthoquinones/administration & dosage* ; Animals ; Microbial Sensitivity Tests ; Mice ; Humans ; Staphylococcal Infections/microbiology* ; Molecular Structure

Objective:To investigate the expression of ephrin type-A receptor 2 (EPHA2) in psoriatic lesions and its effect on the proliferation and differentiation of normal human epidermal keratinocytes (NHEKs) .Methods:The GDS4602 dataset from the Gene Expression Omnibus (GEO) database was analyzed to determine EPHA2 gene expression changes in psoriatic lesions. Skin tissue samples were collected from 3 psoriasis patients and 3 healthy controls, and EPHA2 expression was determined in the skin tissues by immunofluorescence staining. Twelve female BALB/c mice were randomly divided into 3 groups (4 mice in each group) : a normal control group (receiving no treatment), an imiquimod group (topically treated with 62.5 mg of imiquimod 5% cream), and an imiquimod + ALWⅡ-41-27 group (topically treated with 62.5 mg of imiquimod 5% cream, followed by intraperitoneal injections of the EPHA2 inhibitor ALWⅡ-41-27 at a dose of 20 mg·kg -1·d -1) ; after 6 days of treatment, dorsal skin samples were harvested for hematoxylin-eosin (HE) staining, immunofluorescence staining was performed to determine the expression of EPHA2 and phosphorylated extracellular signal-regulated kinase 1/2 (p-ERK1/2), and real-time fluorescence-based quantitative PCR (qPCR) was conducted to determine the mRNA expression of the nuclear proliferation antigen Ki67, involucrin (Ivl), loricrin (Lor), and keratin 10 (Krt10). In vitro cultured NHEKs were divided into a control group (receiving no treatment), an M5 group (treated with 10 ng/ml M5 cytokines [including interleukin-17A, interleukin-22, interleukin-1α, oncostatin M and tumor necrosis factor-α]), an ALWⅡ-41-27 group (treated with 1 μmol/L ALWⅡ-41-27), and an M5 + ALWⅡ-41-27 group (treated with 10 ng/ml M5 and 1 μmol/L ALWⅡ-41-27) ; after 24 hours of treatment, the 5-ethynyl-2′-deoxyuridine (EdU) assay was performed to assess cellular proliferative activity, Western blot analysis to determine the expression of EPHA2, ERK and their phosphorylated proteins, and qPCR to determine the mRNA expression of KI67, IVL, LOR, and KRT10. One-way analysis of variance, Dunnett's T3 test, two-independent-sample t test, and paired t test were used for statistical analysis. Results:GEO database analysis revealed upregulated EPHA2 expression in psoriatic lesions compared with normal skin tissues from healthy controls ( t = 21.07, P < 0.001). Immunofluorescence staining showed increased EPHA2 expression in skin tissues from psoriasis patients and mouse models of psoriasis compared with those from healthy controls and normal control mice, respectively (both P < 0.01). In the animal experiments, the imiquimod group showed thicker epidermis, increased Ki67 mRNA expression, decreased mRNA expression of Ivl, Lor, and Krt10, and elevated p-ERK1/2 expression compared with the normal control group and imiquimod + ALWⅡ-41-27 group (all P < 0.05). In the cell experiments, the M5 group showed an increased proportion of EdU-positive cells (35.61% ± 1.18% vs. 24.83% ± 0.60% and 12.49% ± 1.52%, t = 8.12, 12.00, P = 0.015, 0.001, respectively), increased KI67 mRNA expression, and decreased mRNA expression of IVL, LOR, and KRT10 compared with the control group and M5 + ALWⅡ-41-27 group (all P < 0.05) ; Western blot analysis revealed that the expression levels of EPHA2, p-EPHA2, and p-ERK1/2 in NHEKs were significantly higher in the M5 group than in the control group and M5 + ALWⅡ-41-27 group (all P < 0.05), but there was no significant difference in the ERK1/2 protein expression among groups ( P > 0.05) . Conclusion:EPHA2 expression was upregulated in psoriatic lesions, which may promote keratinocyte proliferation and inhibit its differentiation, possibly via the ERK pathway.

Bacterial infection is a major threat to global public health,and can cause serious diseases such as bacterial skin infection and foodborne diseases.It is essential to develop a new method to rapidly di-agnose clinical multiple bacterial infections and monitor food microbial contamination in production sites in real-time.In this work,we developed a 4-mercaptophenylboronic acid gold nanoparticles(4-MPBA-AuNPs)-functionalized hydrogel microneedle(MPBA-H-MN)for bacteria detection in skin inter-stitial fluid.MPBA-H-MN could conveniently capture and enrich a variety of bacteria within 5 min.Surface enhanced Raman spectroscopy(SERS)detection was then performed and combined with ma-chine learning technology to distinguish and identify a variety of bacteria.Overall,the capture efficiency of this method exceeded 50％.In the concentration range of 1 × 10 7 to 1 × 10 10 colony-forming units/mL(CFU/mL),the corresponding SERS intensity showed a certain linear relationship with the bacterial concentration.Using random forest(RF)-based machine learning,bacteria were effectively distinguished with an accuracy of 97.87％.In addition,the harmless disposal of used MNs by photothermal ablation was convenient,environmentally friendly,and inexpensive.This technique provided a potential method for rapid and real-time diagnosis of multiple clinical bacterial infections and for monitoring microbial contamination of food in production sites.

OBJECTIVE To investigate the distribution and drug resistance of pathogens isolated from the elderly population with infections in Baotou,Inner Mongolia.METHODS The clinical data were collected from 9268 elder-ly patients with infections(with no less than 60 years of age)who were treated in Baotou Medical College of Cen-ter Clinical Medical School and the Second Affiliated Hospital of Baotou Medical College from 2017 to 2021 and were retrospectively analyzed.The 9268 samples were cultured for isolation of pathogens,the isolated pathogens were identified,and the drug susceptibility testing was performed.RESULTS Totally 9268 strains of pathogens were isolated,53.11％of which were gram-negative bacteria,28.94％were gram-positive bacteria,and 17.95％were fungi.Escherichia coli and Klebsiella pneumoniae were the major species of gram-negative bacteria;Entero-cocci and coagulase-negative Staphylococcus were dominant among the gram-positive bacteria;Candida albicans was the predominant species of fungi.There were certain differences in the pathogens isolated from the elderly pa-tients with infection between different sexes,among the different seasons and age groups.With respect to drug re-sistance,the gram-positive bacteria maintained highly sensitive to vancomycin and teicoplanin,while the drug re-sistance rates to ampicillin and penicillin were relatively high.The drug resistance rates of the gram-negative bacte-ria to carbapenems were relatively low,but the drug resistance rates to ampicillin and cefazolin were high.CONCLUSIONS The gram-negative bacteria are dominant among the pathogens isolated from the elderly population with infections in Baotou City,Inner Mongolia;the distribution of pathogens is affected by the sex,age and sea-son.There is serious problem with the drug resistance of pathogens,the strains are highly resistant to the com-monly used antibiotics such as ampicillin and penicillin.It is necessary for the hospital to reasonably use antibiotics according to the epidemiological characteristics and drug resistance trends of the pathogens and optimize the strate-gies for clinical diagnosis and treatment of infectious diseases.

Climate change is a significant environmental concern in the 21^st century. It can directly and indirectly affect public health, making it a major public health problem. This review focused on the relationship between meteorological factors and health-related behaviors such as physical activity, sleep, dietary behavior, and social contact behavior. The results indicated that meteorological factors such as temperature, relative humidity, wind speed, atmospheric pressure, and rainfall are associated with the four health behaviors. Physical activity levels are negatively associated with temperature, relative humidity, and rainfall. Sleep quality tends to decrease under extreme temperatures and extreme weather events. Dietary behavior is influenced by high and low temperatures, low pressure, and daylight duration, which in turn affects appetite and food intake. Social contact frequency decreases in response to extreme temperatures, increased rainfall, and extreme weather events. However, there are differences in the strength and direction of the associations between meteorological factors and health-related behaviors in various studies. Research on the combined effects of multiple meteorological factors exposure on health-related behaviors is rare, and the mechanisms underlying the associations are unclear. Therefore, there is a need for more multi-center, large-scale studies to explore the biological and behavioral mechanisms behind these associations, which will help clarify the complex effects of meteorological factors on human health behaviors and provide scientific evidence for policy-making, thereby mitigating the negative impact of climate change on public health.

Objective:To evaluate the effect and causality of serum metabolites on the pathogenesis of ulcerative colitis (UC), so as to provide reference for nutritional programs for patients with UC.Methods:Two-sample Mendelian randomization (MR) analysis was performed to estimate the causal relationship between serum metabolites and UC. Genome-wide association studies (GWAS) of 1 400 metabolites were performed, with the metabolites as exposure and UC as outcome. Inverse-variance weighted (IVW) was used to calculate causal estimates. Four other MR methods with different modeling assumptions including MR-Egger, weighted median, weighted mode, and simple mode were used as additional analyses to improve the stability of the results. The results were validated through heterogeneity and pleiotropy tests. Finally, the possible causal metabolites were analyzed by metabolic pathway analysis.Results:MR analysis revealed that 85 metabolites had a possible causal relationship with UC. Among them, phosphatidylglycerol 1,2-dipalmitoyl-gpc (DPPC) ( P=2.75×10 -6) and isovaleryl carnitine (C5) ( P=1.84×10 -5) were significant risk factors for UC. Metabolic pathway analysis identified 5 metabolic pathways that might be affected by these metabolites (all P<0.05), among which the porphyrin ( P=0.004) and pyrimidine metabolic pathways ( P=0.008) had higher confidence in impacting UC. Conclusions:There are causal relationships between some serum metabolites (in particular 1,2-dipalmitoyl-GPC and isovalerylcarnitine) and the risk of UC. The porphyrin and pyrimidine metabolic pathways may impact the pathogenesis of UC.