Gallotannin Efflux Inhibition Data for XDR Acinetobacter baumannii

13 plant-derived polyphenols were evaluated for their potential to restore antibiotic susceptibility in multidrug-resistant Acinetobacter baumannii. The dataset, authored by Ramaravannah Manivannan and last updated in April 2026, documents results from in silico docking, in vitro assays, and an in vivo zebrafish infection model. Gallotannin achieved a 64-fold reduction in erythromycin MIC and a ~5-log CFU reduction in combination therapy.

Use Cases

• Analyze MIC reversal fold-changes (e.g., 64-fold reduction for erythromycin) across 13 polyphenols to identify potent efflux inhibitors.
• Correlate in silico molecular docking and dynamics simulation results (e.g., AdeB pump binding stability) with in vitro assay outcomes like real-time efflux and intracellular accumulation.
• Model the relationship between combination therapy results (e.g., ~5-log CFU reduction in vitro) and in vivo bioburden reduction (~4-log) in the zebrafish infection model.
• Investigate mechanistic data linking gallotannin treatment to specific cellular effects like enhanced membrane permeability, intracellular antibiotic accumulation, and elevated ROS levels.

Strengths

• Data integrates results from three distinct methodological approaches: in silico simulations, in vitro assays on five MDR/XDR isolates, and an in vivo zebrafish model.
• Documents a specific, high-potency finding with gallotannin showing 32–64-fold MIC reductions across multiple antibiotic classes.

Limitations

• The dataset is a 2.8 MB DOCX file, indicating a small-scale supplementary document rather than a large, structured data repository.
• Specific sample sizes (e.g., number of zebrafish, replicate counts for assays) and raw numerical data tables are not described in the provided metadata.
• Data is specific to Acinetobacter baumannii clinical isolates and the AdeB efflux pump, limiting generalizability to other pathogens or resistance mechanisms.

Provenance

Source

Ramaravannah Manivannan via figshare.

Collection Method

Combination of computational molecular docking/dynamics, laboratory assays (MIC reversal, checkerboard synergy, etc.), and zebrafish infection model experiments.

Freshness

Last updated April 2026.