A scoping review of computational models of the diabetic foot

by Yufeng Li, Athia Haron, Chaofan Lin, Yuan Tang, Andrew Weightman, Glen Cooper

The prevalence of diabetes is expected to be 650 million people by 2030, and diabetic foot ulceration (DFU) is one of its most severe complications. It poses a significant challenge to global health and brings substantial social and economic burdens. Although many studies have explored the mechanisms of DFU development, they are still not fully understood. Due to the high cost of the experimental research, many recent studies have employed the computational modelling approaches to simulate the effects of diabetes on foot tissues from mechanical, thermal, fluid, and cellular perspectives. This study aims to provide a comprehensive review of computational modelling approaches used to investigate various factors influencing DFU, discuss current knowledge gaps and limitations, and outline future research directions. A systematic search was conducted in Web of Science, Scopus, and PubMed databases, identifying a total of N = 1631 records up to March 2025, 31 of which studies met the inclusion criteria and were analysed in this study. Results showed that DFU-related computational models can be categorized into five types: mechanical stress models, thermal models, vascular and nerve system models, multiphysics models, and cellular-based models. These models explore the formation mechanisms of DFU from different perspectives, including biomechanics, temperature, fluid dynamics, HHμm neural signalling, and cellular responses. However, except for mechanical stress models, the other approaches remain in the early stages of development, and the single physics modelling strategies are unable to provide understanding on the coupled processes with the foot and their effect on DFU. Future research should further develop modelling approaches and couple these together to develop comprehensive understanding of DFU pathogenesis.

Identification and clinical implications of immune-related hub genes in psoriasis

by Yuzhen Sun, Ziguang Zhou, Yu Mao, Niu Liu, Yanfeng Li, Weiyuan Fang

Background

Psoriasis, a chronic inflammatory skin disease affecting 2–3% of the global population, is driven by dysregulated immune responses. Despite advancements in biologic therapies, treatment challenges persist due to high recurrence rates. This study aimed to identify immune-related hub genes and elucidate their clinical implications in psoriasis pathogenesis and therapy.

Methods

Multiple microarray datasets from psoriasis patients (GSE30999, GSE106992, GSE14905, GSE78097, and GSE117468) were obtained to identify immune-key genes by differential gene analysis and Weighted Gene Co-expression Network Analysis (WGCNA). Subsequently, immune-related hub genes were identified using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and Protein-Protein Interaction (PPI) networks, with further validation through Gene Set Enrichment Analysis (GSEA) and Receiver Operating Characteristic (ROC) curves to assess exploratory within-sample discrimination. Pearson correlation analysis evaluated the relationship between hub genes, skin lesion severity, and treatment outcomes. The study also conducted immune infiltration by using the Cell-type Identification by Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm and identified potential therapeutic targets by the Drug-Gene Interaction Database (DGIdb).

Results

Thirty-one immune-related key genes were identified, and six hub genes (CLEC7A, CXCL1, IRF1, S100A12, S100A8, S100A9) were validated as central players in immune signaling pathways. These genes exhibited within-sample discrimination (AUC > 0.9) and correlated with disease severity and biological therapy efficacy. Immune infiltration analysis revealed increased activated memory CD4⁺ T cells and M1 macrophages in lesional skin, which was strongly associated with hub gene expression. Additionally, drug-gene interaction analysis identified potential therapeutic agents targeting these genes.

Conclusion

This study identified six immune-related hub genes that were closely linked to the severity of psoriasis, the effectiveness of biological treatments, and infiltrated activated memory CD4⁺ T cells and M1 macrophages. Our findings elucidate a novel immune-related hub gene network in psoriasis and provide potential targets for the development and application of biologics.

Investigation on the knowledge-attitude-practice of medical students in controlling emerging infectious diseases: A case study of COVID-19

by Yizhe Yang, Ruifeng Liang, Yan Luo, Doudou Zhu, Yi Liu, Yuyan Guo, Jiafen Zhang, Qiao Niu

Objective

Investigate the Knowledge-Attitude-Practice (KAP) of students from Medical College towards emerging infectious diseases, and assess their impact, can provide a scientific basis and practical guidance for enhancing medico’s prevention and control capabilities.

Methods

A total of 2,395 participants from various grades and majors at Medical University were randomly selected using a stratified cluster sampling method. This cross-sectional study was conducted between April 25 and May 31, 2020, using a self-administered questionnaire developed on the Wenjuanxing platform to assess COVID-19-related knowledge, attitudes, and practices (KAP) among medical students.

Results

A total of 2,245 participants (aged 16–28 years) were included in the study, coming from five medical disciplines: Clinical Medicine, Preventive Medicine, Nursing, Clinical Pharmacy, Health Inspection and Quarantine. The average scores for the COVID-19 epidemiological knowledge and the control measures for the epidemic were 4.92 ± 1.03 and 4.50 ± 0.78, respectively. Among them, the scores of epidemiological knowledge exhibited significant differences in sex, nation, type of dwelling place, major, grade, annual per capita household income, and age. The scores of preventive knowledge significantly differed by sex, major, grade, physical condition, and age. Further, behavioral data indicated that 96.0% of the students thought the pandemic had severely affected their daily life, while >90% maintained consistent mask usage and >80% insisted on health-protective practices. Practice scores finally varied significantly by sex, family structure, and ethnicity.

Conclusions

Altogether, medical students possess certain basic knowledge in controlling emerging infectious diseases, but some still generally suffer from insufficient cognitive depth and anxiety. Colleges can systematically enhance students’ rational cognitive level which include offering specialized courses as well as promoting cutting-edge research achievements, and through standardized operations stabilize their psychological states.