Time‐ and strain‐specific downregulation of intestinal <i>EPAS1</i> via miR‐148a by <i>Bifidobacterium bifidum</i>
Bibliographic record
Abstract
SCOPE: Bifidobacteria play a role in intestinal homeostasis but molecular mechanisms remain underinvestigated. The aim of this study was to assess if probiotic Bifidobacterium strains alter expression of intestinal microRNA and downstream target gene response. METHODS AND RESULTS: The expression of miR-148a and its validated target endothelial PAS domain protein 1 (EPAS1) was analyzed in Caco-2 cells and mice cecum in response to Bifidobacterium bifidum MIMBb75, B. bifidum NCC390, or Bifidobacterium longum NCC2705. In vitro, exposure to B. bifidum MIMBb75, but not to B. bifidum NCC390 or B. longum NCC2705, increased the expression of miR-148a after 1 and 4 h (p < 0.01), but not after 24 h. In vivo, B. bifidum MIMBb75 administration to C57BL/6J mice increased miR-148a expression in the cecum after 2 but not 14 days (p < 0.05). The increase in miR-148a was accompanied by a decrease in EPAS1 expression in Caco-2 cells and cecum (p < 0.05). Silencing of miR-148a reversed B. bifidum MIMBb75 dependent downregulation of EPAS1. CONCLUSION: This study shows an early response of intestinal cells to B. bifidum MIMBb75 through miR-148a modulation. This brings a new concept of strain- and time-dependent bifidobacteria-host crosstalk via microRNA. Probiotic B. bifidum MIMBb75 may help attenuating EPAS1 overexpression associated with intestinal inflammation.
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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 | 0.001 |
| 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".