Lower Respiratory Tract Microbiota in Pseudomonas Aeruginosa Pneumonia Patients

42 paired bronchoalveolar lavage fluid samples from older adults with Pseudomonas aeruginosa pneumonia, collected at hospital admission and discharge. The dataset, authored by Yongchao Jiang and shared under CC-BY-4.0, includes 16S rRNA gene sequencing results characterizing longitudinal microbiota dynamics and comparing meropenem-based (n=12) and levofloxacin-based (n=9) therapies. Findings include reduced Pseudomonas abundance post-treatment and identification of potential diagnostic biomarkers.

Use Cases

• Modeling diagnostic biomarkers for Pseudomonas aeruginosa pneumonia based on identified taxa like P. aeruginosa, Streptococcus pneumoniae, and Prevotella melaninogenica.
• Comparing post-treatment microbial community structures based on antibiotic regimen (meropenem vs. levofloxacin).
• Analyzing correlations between microbial abundance (e.g., Pseudomonas) and clinical indices like white blood cell count and C-reactive protein.
• Predicting functional pathway changes, such as biofilm formation, following antibiotic therapy.
• Studying longitudinal microbiota dynamics in lower respiratory tract infections from admission to discharge.

Strengths

• Includes 42 paired samples, enabling longitudinal analysis.
• Compares two specific antibiotic regimens (meropenem n=12, levofloxacin n=9).
• Identifies specific microbial biomarkers with a reported AUC of 0.93.
• Links microbial findings to clinical laboratory values like white blood cell count.

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 at 67.0 KB, indicating limited scope.

Provenance

Source

Yongchao Jiang

Collection Method

16S rRNA gene sequencing of bronchoalveolar lavage fluid from a clinical cohort.

Freshness

Last updated 2026-05-13 05:35:53; freshness should be verified.