Longitudinal Metagenomic Profiles of Diabetic Foot Ulcers Before and After Infection Onset

A longitudinal study by Michael Radzieta profiles the wound microbiome of 6 patients with diabetes-related foot ulcers who developed clinical infections. The dataset, last updated in 2026, uses shotgun metagenomic sequencing to track microbial shifts from non-infected to infected states. It highlights changes in pathogen and anaerobe abundance associated with infection onset.

Use Cases

• Modeling microbial community shifts during infection onset based on longitudinal profiling described in the study.
• Identifying correlations between anaerobe abundance and clinical infection status as suggested by the results.
• Analyzing strain-level dynamics of pathogens like Staphylococcus aureus and Pseudomonas aeruginosa within individual patients over time.
• Investigating the potential link between hypoxia, indicated by anaerobe increase, and infection progression in chronic wounds.

Strengths

• Longitudinal design tracking 6 patients from non-infected to infected states.
• Uses shotgun metagenomic sequencing enabling taxonomic and strain-level analysis.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The small sample size of 6 patients may limit generalizability of findings.

Provenance

Source

figshare, author Michael Radzieta.

Collection Method

Shotgun metagenomic sequencing of wound samples from patients with diabetes-related foot ulcers.

Freshness

Last updated 2026-06-02 04:21:12; freshness should be verified.