A183 SECRETIONS OF LACTIC ACID BACTERIA AS ANTI-<i>HELICOBACTER PYLORI</i> AGENTS
Bibliographic record
Abstract
Abstract Background Helicobacter pylori (HP) colonizes chronically 50% of the world population, leading to gastric ulcers or cancers in 2-10 % of infections. Due to rising antibiotic resistance, curtailing HP-induced diseases requires the identification of new anti-HP molecules that can reduce HP viability or virulence. Several studies suggest that oral lactic acid bacteria (LAB) supplementation can enhance HP eradication treatment efficacy, suggesting that some LAB produce bioactive molecules with anti-HP properties. We previously found that 18 LAB secrete molecules with activity against two HP strains. The LAB secretions inhibited HP growth and reduced its urease activity, motility and ability to induce the pro-inflammatory cytokine IL-8 from gastric cells. This is important since gastric inflammation is the hallmark of HP infection. Aims We aim to elucidate the mechanism of action involved using 5 LAB strains commercialized by Lallemand Health Solutions, including 2 from their Lacidofil® probiotic formulation. Our goal is to harness the potential of the LAB-secreted molecules as novel alternatives to antibiotics or anti-inflammatory agents to curtail HP-induced gastric disease and concentrated cocktails of LAB secretions may synergize with antibiotics. Methods This work uses knockout mutagenesis, exposure assays, RNA-Seq, promoter reporter assays and ELISA. Results We showed that signals from LAB secretions are transduced by 2 histidine sensor kinases and RNA-Seq analysis was performed on gastric cells and on LAB-exposed HP in stomach-mimicking conditions to identify the pathways that lead to reduced bacterial virulence and reduced inflammation. Also, the effect of LAB on HP adherence to and invasion of gastric cells was investigated, and LAB-specific transcriptional effects are being investigated via luminescence reporter assays. Finally, using metabolomics and proteomics we identified candidate active molecules, which will be validated using commercial compounds and knockout mutagenesis, along with fractionation of the most active LAB secretions Conclusions This work highlights the variability between LAB strains and provides mechanistic insights to explain the benefits of well-characterized probiotics such as Lacidofil® in anti-HP treatment or prophylaxis. Adjuvant LAB secretions could benefit the ~6 million patients who develop gastric ulcers or cancers each year worldwide due to HP infection, also saving billions of annual health care costs. Funding Agencies CIHRWestern University and MITACS
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".