Haohao Chen

Objective: This study aimed to investigate the knowledge, attitudes, and practices (KAP) of vocational college teachers regarding occupational burnout.Methods: A cross-sectional study was conducted among teachers from 15 vocational colleges between 20 April 2024 and 20 June 2024. Basic demographic information and KAP scores were collected through a self-developed questionnaire. The Maslach Burnout Inventory-Educators Survey (MBI-ES) was used to assess levels of occupational burnout.Results: A total of 462 valid questionnaires were analysed, of which 264 (57.14%) respondents were female. The mean knowledge, attitude, and practice scores were 10.04 ± 4.61 (possible range: 0–18), 28.24 ± 3.77 (possible range: 7–35), and 16.68 ± 4.01 (possible range: 6–30), respectively. Multivariate linear regression analysis indicated that knowledge score (β = −0.137, 95% CI: −0.251 to −0.024, p = 0.018), attitude score (β = −0.284, 95% CI: −0.424 to −0.145, p < 0.001), practice score (β = 0.320, 95% CI: 0.193 to 0.446, p < 0.001), and sleep disorders (β = −1.915, 95% CI: −3.345 to −0.486, p = 0.009) were independently associated with MBI-ES scores. Structural equation modeling revealed that knowledge directly influenced attitude (β = 0.410, p < 0.001) and practice (β = 0.312, p = 0.001). Knowledge (β = −0.92, p = 0.024), attitude (β = −2.850, p < 0.001), and practice (β = 1.525, p < 0.001) directly affected burnout.Conclusion: Although vocational college teachers demonstrate positive attitudes towards addressing occupational burnout, they exhibit insufficient knowledge and passive practices, leading to an increased risk of burnout. Targeted educational interventions are necessary to enhance vocational college teachers’ knowledge and skills in managing occupational burnout.

To establish a method to induce Campylobacter jejuni colonization in the intestines of C57BL/6 mice through antibiotic-induced microbiome depletion. Fifty-four female C57BL/6 mice were divided into the normal, control, and experimental groups. The experimental group was administered intragastric cefoperazone sodium and sulbactam sodium (50 mg/mL) for 2 days; then, the experimental and control mice were intragastrically administered 200 µL C. jejuni, which was repeated once more after 2 days. Animal feces were collected, and the HipO gene of C. jejuni was detected using TaqMan qPCR from day 1 to day 14 after modeling completion. Immunofluorescence was used to detect intestinal C. jejuni colonization on day 14, and pathological changes were observed using hematoxylin and eosin staining. Additionally, 16S rDNA analyses of the intestinal contents were conducted on day 14. In the experimental group, C. jejuni was detected in the feces from days 1 to 14 on TaqMan qPCR, and immunofluorescence-labeled C. jejuni were visibly discernable in the intestinal lumen. The intestinal mucosa was generally intact and showed no significant inflammatory-cell infiltration. Diversity analysis of the colonic microbiota showed significant inter-group differences. In the experimental group, the composition of the colonic microbiota differed from that in the other 2 groups at the phylum level, and was characterized by a higher proportion of Bacteroidetes and a lower proportion of Firmicutes. Microbiome depletion induced by cefoperazone sodium and sulbactam sodium could promote long-term colonization of C. jejuni in the intestines of mice.

Breast cancer (BRCA) is a highly heterogeneous malignancy with an urgent need to build a proper model to predict its prognosis. Cuproptosis is a recently discovered form of cell death, mediated by protein fatty acylation and tightly associated with mitochondrial metabolism. The role of cuproptosis-related genes (CRGs) in BRCA remains to be explored. We aimed to investigate the applications of CRGs in BRCA prognosis in different clinical contexts, including chemotherapy and immunotherapy, via bioinformatics analysis of the messenger RNA profiles and clinical data obtained from public databases. Molecular subtyping of CRGs was performed through consistent clustering analysis. Differentially expressed genes between different CRG clusters were identified. The differentially expressed genes were then used to build a risk assessment model using least absolute shrinkage and selection operator regression to predict patient survival with BRCA. The model was then validated with the data from the Molecular Taxonomy of Breast Cancer International Consortium, GSE96058, and GSE20685. Differences in somatic mutations, copy number variations, hallmark pathways, drug responses, and prognosis of immunotherapy and chemotherapy were analyzed by comparing the high-risk and low-risk groups. Patients with high-risk scores showed worse overall survival than those with low-risk scores. The results indicated significant differences between the 2 groups immune-related biological pathways and the variable immune status. It also suggests the differential sensitivity to chemotherapy between the 2 groups. The CRGs model showed the promise to predict the prognosis of BRCA patients and shed light on their treatment.