Longitudinal Gut Microbiota Data for C. Difficile Infection Patients

143 patients from the CDI-ANCRAID-SEICV cohort provide data on intestinal microbiome composition changes during Clostridioides difficile infection. The dataset includes stool samples analyzed via 16S rRNA sequencing at diagnosis, end of treatment, and eight weeks post-treatment. Maria Paz Ventero authored this dataset, which was last updated in April 2026.

Use Cases

• Model recurrence risk using microbiome diversity metrics (Shannon index, ASVs) and specific phylum abundances (Fusobacteria, Verrucomicrobiota) at the end of treatment.
• Compare the impact of antibiotic treatments (vancomycin, fidaxomicin) on bacterial phylum composition, such as Bacteroidetes levels.
• Analyze associations between patient demographics (sex, age, immunosuppression status) and microbiota recovery patterns over time.
• Investigate longitudinal changes in microbial diversity from diagnosis through eight weeks post-treatment to identify recovery trajectories.

Strengths

• Data from 143 patients provides a basis for statistical analysis of subgroups.
• Longitudinal design with samples from three time points (diagnosis, end of treatment, eight weeks post-treatment).
• Microbiome analysis includes specific metrics like Shannon diversity (H) and Amplicon Sequence Variants (ASVs).

Limitations

• Small dataset at 12.9 KB, indicating limited raw data or summary statistics rather than full sequence reads.
• Sample size of 143 patients may limit power for subgroup analyses, such as comparing multiple treatment arms.
• Geographic and cohort specifics are not provided, which may affect generalizability.

Provenance

Source

figshare, authored by Maria Paz Ventero.

Collection Method

Stool samples from a clinical cohort were analyzed using 16S rRNA sequencing with QIIME2 and R.

Time Range

Covers patient follow-up from diagnosis to eight weeks post-treatment.

Freshness

Last updated in April 2026.