ArticleFrontiers in pharmacology2025
Boruta algorithm-guided antibiotic selection in antibiotic-loaded bone cement for diabetic foot ulcers: microbiota and susceptibility analysis.
Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Microbial dysbiosis and wound healing in diabetic foot ulcers: a mini review with a note on the role of artificial intelligence.Frontiers in cellular and infection microbiology · 2026Review
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4 authors.
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Abstract
Background: Diabetic foot is one of the serious complications of diabetes mellitus, and diabetic foot ulcer (DFU) infection is often fatal to patients. As a relatively new method, antibiotic bone cement treatment of diabetic foot is beneficial to many patients with diabetic foot infection (DFI). The aim of this study is to analyze the composition of DFU wound microbiota and to screen antibiotics with better efficacy to add to bone cement for the treatment of DFI. Methods: We collected the exudates from DFU wounds of patients for bacterial culture and drug susceptibility test, and classified and analyzed the composition of bacterial microbiota. For drug susceptibility test results, we first screened the antibiotics by using the Boruta algorithm prediction model and then performed sensitivity analysis based on age and gender factors. Results: According to this study, age was a significant factor in the cumulative sensitivity of bacteria to antibiotics added with bone cement. In the bacterial microbiota of DFU wounds, Gram-positive bacteria accounted for a relatively high proportion, and the main species was Conclusion: In the treatment of DFI, Gram-positive bacteria infection is more common in clinical practice, especially anti-infective treatment against
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