Dispersal of pathogen-associated multispecies biofilm by novel probiotic Bacillus subtilis in a contact-dependent manner
Bibliographic record
Abstract
AIMS: Biofilms are involved in pathogenesis of various bacterial infections. Treatment of biofilm-related bacterial infection remains a major challenge due to the reduced efficacy of antibiotics and associated antibiotic resistance. Given the high prevalence of Enterotoxigenic Escherichia coli (ETEC), Salmonella Typhimurium (S. Typhimurium) and methicillin-resistant Staphylococcus aureus (MRSA)-related infections and associated drug resistance, it is imperative to develop alternative strategies for treatment and prevention. The current study investigated antibiofilm activity of a recently isolated Bacillus subtilis (B. subtilis-9) against these pathogens. METHODS AND RESULTS: Crystal violet staining showed that treatment with B. subtilis-9 significantly reduced biofilm biomass of ETEC (60%-80%), S. Typhimurium (68%-73%) and MRSA (66%-82%). In addition, B. subtilis-9 significantly reduced pre-formed biofilm biomass of ETEC (59%), S. Typhimurium (62%), MRSA (65%) and multispecies (58%). Fluorescence microscopy revealed that B. subtilis-9 treatment significantly reduced the thickness of biofilm and viability of the embedded bacteria. Additionally, B. subtilis-9 significantly reduced planktonic cell growth of ETEC (92%), S. Typhimurium (94%) and MRSA (93%). Interestingly, transwell assay showed that B. subtilis-9 exhibited antibiofilm properties in a cell-to-cell contact-dependent manner and significantly reduced mRNA expression of biofilm-related genes, bssS, luxS and ihfB in ETEC. CONCLUSION: Novel B. subtilis-9 exhibits a strong inhibitory activity against ETEC, S. Typhimurium and MRSA biofilm formation and adhesion to abiotic surfaces. With further investigations, our study could bring forward a novel Bacillus-based probiotic intervention strategy to combat pathogenic biofilms, in clinical and agricultural settings. SIGNIFICANCE AND IMPACT OF THE STUDY: Probiotic bacteria propose a potential alternative in combating biofilm-related infections, however, data on the efficacy and strain selection are limited. Data from this study are critical in further developing Bacillus-based novel probiotic applications that may reduce the use of antibiotics in biofilm-related infections in humans and animals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".