Severe burns often have a high mortality rate due to sepsis, but the genetic and immune crosstalk between them remains unclear. In the present study, the GSE77791 and GSE95233 datasets were analysed to identify immune‐related differentially expressed genes (DEGs) involved in disease progression in both burns and sepsis. Subsequently, weighted gene coexpression network analysis (WGCNA), gene enrichment analysis, protein–protein interaction (PPI) network construction, immune cell infiltration analysis, core gene identification, coexpression network analysis and clinical correlation analysis were performed. A total of 282 common DEGs associated with burns and sepsis were identified. Kyoto Encyclopedia of Genes and Genomes pathway analysis identified the following enriched pathways in burns and sepsis: metabolic pathways; complement and coagulation cascades; legionellosis; starch and sucrose metabolism; and ferroptosis. Finally, six core DEGs were identified, namely, IL10, RETN, THBS1, FGF13, LCN2 and MMP9. Correlation analysis showed that some core DEGs were significantly associated with simultaneous dysregulation of immune cells. Of these, RETN upregulation was associated with a worse prognosis. The immune‐related genes and dysregulated immune cells in severe burns and sepsis provide potential research directions for diagnosis and treatment.

Osteoarthritis (OA) and Parkinson’s disease (PD) are on the rise and greatly impact the quality of individuals’ lives. Although accumulating evidence indicates a relationship between OA and PD, the particular interactions connecting the two diseases have not been thoroughly examined. Therefore, this study explored the association through genetic characterization and functional enrichment. Four datasets (GSE55235, GSE12021, GSE7621, and GSE42966) were chosen for assessment and validation from the Gene Expression Omnibus (GEO) database. Weighted Gene Co-Expression Network Analysis (WGCNA) was implemented to determine the most relevant genes for clinical features. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were carried out to explore the biological processes of common genes, and to display the interrelationships between common genes, the STRING database and the application Molecular Complex Detection Algorithm (MCODE) of Cytoscape software were leveraged to get hub genes. By intersecting the common genes with the differentially expressed genes (DEGs) acquired from GSE12021 and GSE42966, the hub genes were identified. Finally, we validated the diagnostic efficacy of hub genes and explored their correlation with 22 immune infiltrating cells. As a consequence, we discovered 71 common genes, most of which were functionally enriched in antigen processing and presentation, mitochondrial translation, the mRNA surveillance pathway, and nucleocytoplasmic transport. Furthermore, WDR43 was found by intersecting eight hub genes with 28 DEGs from the two validation datasets. Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD. Immune infiltration research revealed that T-cell regulatory (Tregs), monocytes, and mast cells resting were associated with the pathogenesis of OA and PD. WDR43 may provide key insights into the relationship between OA and PD.

Objective: To reveal the potential targets and signaling pathways of dasatinib in the treatment of radiation ulcers through network pharmacology and molecular docking technology.Methods: Pathological targets of radiation ulcers were screened using GeneCards database. At the same time, the pharmacological targets of dasatinib were obtained through SwissTargetPrediction (STP), Binding DB and Drugbank databases. Subsequently, the potential targets of dasatinib for anti-radiation ulcers were obtained after intersection by Venn diagram. Next, a protein-protein interaction (PPI) network was constructed through the STRING database and core targets were screened. Finally, the identified core targets were subjected to GO and KEGG enrichment analysis, co-expression network analysis, and molecular docking technology to verify the reliability of the core targets.Results: A total of 76 potential targets for anti-radiation ulcer with dasatinib were obtained, and 6 core targets were screened, including EGFR, ERBB2, FYN, JAK2, KIT, and SRC. These genes were mainly enriched in Adherens junction, EGFR tyrosine kinase inhibitor resistance, Focal adhesion, Bladder cancer and PI3K-Akt signaling pathway. Molecular docking results showed that dasatinib binds well to the core target.Conclusion: Dasatinib may play a role in the treatment of radiation ulcers by regulating EGFR, ERBB2, FYN, JAK2, KIT, and SRC. These core targets may provide new insights for follow-up studies of radiation ulcers.

This study aimed to provide evidence for the development of targeted interventions by investigating the current status of osteoporosis prevention health behaviors and their impact factors in older patients with hip fragility fractures. This cross-sectional study employed a convenience sampling method. The participants included 160 older adults who had sustained their first hip fragility fracture and were recruited from the Department of Joint Surgery at a tertiary general hospital in Zhenjiang City, Jiangsu Province, China, between October 2023 and June 2024. Data were collected via questionnaires administered within the information-motivation-behavioral skills model framework, including: a general information questionnaire, the osteoporosis knowledge test (OKT), the osteoporosis self-efficacy scale (OSES), the social support rating scale (SSRS), the osteoporosis self-management behavioral scale, and the Healthy Behavioral Scale for the prevention of osteoporosis questionnaires. Factors influencing osteoporosis prevention health behaviors were identified via univariate analysis and multiple linear regression. A total of 154 older patients with hip fractures were included, and the valid return rate of the questionnaire was 96.25%. The score of the osteoporosis prevention health behavior scale was 6.64 ± 4.32. The results of multiple linear regression analysis revealed that sex, age, BMI, primary caregiver, whether they had fallen within one year, whether they had received health education on osteoporosis, knowledge, self-efficacy, social support, and self-management were the influencing factors of osteoporosis prevention health behaviors in older patients with hip fragility fractures (P < .05), accounting for 82.8% of the total variance. Our study revealed that suboptimal osteoporosis prevention health behaviors in older patients with hip fragility fractures are influenced by sociodemographic factors, clinical history, and psychosocial determinants. These findings indicate that targeted interventions – enhancing health education, improving self-efficacy, and strengthening social support – may reduce the incidence of secondary fracture in this population.