Modelling of autophagy-related genes in microcirculatory damage at the extremities of patients with diabetic foot ulcers based on bioinformatics analysis

Song Xiaoyi, Tang Zhangfeng, Gui Liang

Chinese Journal of Clinical Anatomy ›› 2026, Vol. 44 ›› Issue (3) : 296-304.

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Chinese Journal of Clinical Anatomy ›› 2026, Vol. 44 ›› Issue (3) : 296-304. DOI: 10.13418/j.issn.1001-165x.2026.3.08

Modelling of autophagy-related genes in microcirculatory damage at the extremities of patients with diabetic foot ulcers based on bioinformatics analysis

  • Song Xiaoyi 1, Tang Zhangfeng 2, Gui Liang 3
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Abstract

Objective    To construct a model of autophagy-related genes (ATGs) in the microcirculatory damage of extremities in patients with diabetic foot ulcers (DFU) based on bioinformatics analysis, and explore the related mechanisms and diagnostic/therapeutic targets.   Methods   Datasets GSE 134431, GSE 80178, and GSE 68183 were obtained from the GEO database, serving as training and validation sets, respectively. After data preprocessing, normalization, and batch correction, cluster analysis, GO and GSVA enrichment analysis, and WGCNA module identification were performed. Multiple machine learning methods were used to build prediction models, and performance was evaluated using nomograms, calibration curves, and decision curve analysis.   Results   A total of 20 differentially expressed genes were identified. Cluster analysis divided patients into 2 groups based on the presence or absence of microcirculatory damage. GO analysis revealed significant enrichment of genes in autophagosome-related structures, ubiquitin ligase binding, and cellular stress response processes. GSVA indicated significant enrichment in autophagy, mitophagy, and FoxO signaling pathways. The SVM model performed best (AUC=1.000), with an AUC of 0.929 in the validation set. Key genes included BNIP3, HEPHL1, and KLK10.   Conclusions   ATGs are involved in DFU microcirculatory damage by regulating mitophagy and the FoxO pathway. The SVM model demonstrates strong predictive ability, providing a basis for clinical diagnosis and targeted therapy.

Key words

Bioinformatics /   /   / Autophagy-related genes /   /   / Diabetic foot ulcers /   /   / Microcirculatory damage at the extremity /   /   / Model construction

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Song Xiaoyi, Tang Zhangfeng, Gui Liang. Modelling of autophagy-related genes in microcirculatory damage at the extremities of patients with diabetic foot ulcers based on bioinformatics analysis[J]. Chinese Journal of Clinical Anatomy. 2026, 44(3): 296-304 https://doi.org/10.13418/j.issn.1001-165x.2026.3.08

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