The effect of Lactobacillus rhamnosus GR-1 supernatant on endotoxin-induced cytokine secretion in human myometrial cells
Bibliographic record
Abstract
Prophylactic administration of probiotic Lactobacillus rhamnosus GR-1 supernatant (GR1SN) was shown to prevent lipopolysaccharide (LPS)-induced preterm birth (PTB) in mice by suppressing pro-inflammatory cytokine expression in uterine tissues in vivo. The aim of this thesis is to elucidate the effects of GR1SN in human myometrial cells in vitro, where I hypothesize it will suppress LPS-induced cytokine secretion. Here I demonstrate that PBS-based GR1SN contains protein moieties that induce endotoxin tolerance-like phenotypes in myometrial cells to suppress secretion of pro-inflammatory factors following LPS stimulus. The observed effects are unique to a GR1SN-myometrial cell interaction, and cannot be replicated using supernatant derived from non-GR-1 lactobacilli species. However, in vivo, GR1SN-PBS does not delay the onset of LPS-induced PTB in pregnant CD-1 mice under the experimental conditions used. Through this project, I have highlighted the unique capacity of protein moieties secreted by L. rhamnosus GR-1 to inhibit inflammatory signals in human myometrial cells.
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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".