Table 1_Anaerobe-associated microbial shifts at infection onset in diabetes-related foot u

Shotgun metagenomic sequencing data reveals microbial shifts in diabetes-related foot ulcers during the transition to clinical infection. The dataset profiles six patients longitudinally, tracking pathogens like Staphylococcus aureus and anaerobes such as Prevotella spp. Michael Radzieta authored this work, last updated in June 2026.

Use Cases

• Modeling infection onset based on longitudinal shifts in pathogen and anaerobe abundance described in the results.
• Analyzing strain-level dynamics of virulent pathogens like Staphylococcus aureus and Pseudomonas aeruginosa mentioned in the description.
• Investigating the role of hypoxia and obligate anaerobes (e.g., Prevotella, Peptoniphilus) in clinical infection progression.
• Developing predictive markers for infection using taxonomic profiling and metagenome assembly data referenced in the methods.

Strengths

• Longitudinal design tracks within-patient microbial dynamics from non-infected to infected states.
• Uses shotgun metagenomic sequencing, enabling taxonomic profiling, assembly, binning, and strain-level analysis.
• Profiles specific, clinically relevant pathogens and anaerobes (e.g., Staphylococcus aureus, Prevotella spp).
• Data is openly shared 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 dataset is small in scale (347.3 KB), indicating a limited sample size of six patients.

Provenance

Source

figshare, authored by Michael Radzieta.

Collection Method

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

Freshness

Last updated 2026-06-02 04:21:14; freshness should be verified.