Antibacterial effects of chebulagic acid and chebulinic acid isolated from Terminalia chebula against Vibrio parahaemolyticus
Bibliographic record
Abstract
Vibrio parahaemolyticus (VP) is a common pathogenic bacterium in marine animals, causing significant economic losses to the aquaculture industry annually. There is an urgent need to develop environmentally friendly, safe and effective antibacterial agents. In this study, two active compounds were isolated and purified from the ethanol extract of Terminalia chebula and identified as chebulagic acid (CAA) and chebulinic acid (CIA) using mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. The antibacterial results showed that both CAA and CIA exhibited a minimum inhibitory concentration (MIC) of 25 mg/L and a minimum bactericidal concentration (MBC) of 1250 mg/L against VP. The two compounds significantly increased the extracellular levels of AKP, nucleic acids, soluble proteins, and glucose of VP. Scanning electron microscopy results indicated that both active compounds significantly altered the cell morphology of VP, causing cell shrinkage and deformtion. Additionally, the two compounds exhibited potent inhibitory effects against several other pathogenic bacteria, including Pseudomonas aeruginosa , Aeromonas versonii, A. hydrophila , V. alginolyticus , and V. vulnificus . The 96-h half-lethal concentrations of CAA and CIA on Ctenogobius giurinus were 561.653 mg/L and 525.011 mg/L respectively. These values were 22.5 and 21.0 times higher than their MIC against VP, respectively. Therefore, CAA and CIA, derived from T. chebula extract, represent promising candidate molecules for the prevention and control of vibriosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".