Effects of growth phase and substrate on immunomodulatory activity of lactobacilli (39.37)
Bibliographic record
Abstract
Abstract Immunomodulatory effects of lactic acid bacteria vary with strain and may vary with growth phase and medium. The ability of different lactobacilli strains (Lactobacillus helveticus R0052, L. rhamnosus R0011, L. rhamnosus GG) at different growth phases to modulate macrophage and intestinal epithelial cell cytokine production following a proinflammatory challenge was examined. Soy and milk ferments were also prepared with strains shown to grow well in soy milk (Bifidobacteria longum R0175 and Lactobacillus helveticus R0052). Modulation of cytokine production by human macrophage cell lines (U937 and THP-1) and intestinal epithelial cells (HT-29) induced by Tumor Necrosis Factor αwas assayed by ELISA for interleukin-8 (IL-8) production. Strain-dependent differences were observed in the ability of spent MRS broths from log versus stationary growth phase, and of soy and milk ferments to down-regulate IL-8 production by challenged U937 cells. Overall, variation in immunomodulatory activity of these lactic acid bacteria reflects not only strain variation but potentially also differences in growth phase and substrate. Funded by NSERC, Lallemand Inc. and the Canadian Space Agency.
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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) | 0.000 | 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) | 0.002 | 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".