Data Sheet 1_Lower respiratory tract microbiota characteristics in patients with Pseudomon

Yongchao Jiang published a dataset on figshare in May 2026 containing 16S rRNA gene sequencing results from bronchoalveolar lavage fluid. The data includes 42 paired samples from older adults with Pseudomonas aeruginosa pneumonia, collected at hospital admission and discharge. It characterizes longitudinal microbiota dynamics and compares outcomes following meropenem-based or levofloxacin-based therapy.

Use Cases

• Modeling diagnostic biomarkers for Pseudomonas aeruginosa pneumonia based on microbial abundance data.
• Analyzing longitudinal shifts in lower respiratory tract microbial community structure during antibiotic treatment.
• Comparing the post-treatment enrichment of potentially pathogenic anaerobic genera between meropenem and levofloxacin therapies.
• Investigating correlations between Pseudomonas abundance and clinical indices like white blood cell count and C-reactive protein.

Strengths

• Includes 42 paired samples, enabling longitudinal analysis of the same patients.
• Compares two specific antibiotic regimens: meropenem-based therapy (n=12) and levofloxacin-based therapy (n=9).
• Functional profiles were inferred using Tax4Fun2, and candidate biomarkers were identified via LEfSe and random forest analyses.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and cohort bias inherent to the single study described.

Provenance

Source

Yongchao Jiang

Collection Method

16S rRNA gene sequencing of bronchoalveolar lavage fluid collected from older adults with Pseudomonas aeruginosa pneumonia.

Freshness

Last updated 2026-05-13 05:35:51; freshness should be verified.