Impact of selected novel plant bioactives on improvement of impaired gut barrier function using human primary cell intestinal epithelium
Bibliographic record
Abstract
Gut barrier function is compromised in the obese state. The N-trans caffeoyltyramine (NCT) and N-trans feruloyltyramine (NFT), two naturally occurring bioactive compounds in hemp hulls, identified using in silico approaches, have the potential to improve gut barrier function and their effects were studied here in vitro. Proliferative human transverse colon epithelial cells were plated and co-cultured with tumor necrosis factor (TNF) along with NCT, NFT or NCT/NFT (2.2 ratio) post-differentiation, over a 48-hour period to induce inflammation and to observe the effects of NCT and NFT. A decrease in transepithelial electrical resistance (TEER) and increase in the intestinal permeability were observed with increased addition of TNF. Co-administration of NCT and NFT demonstrated a dose-dependent and statistically significant reversal of impaired TEER and intestinal permeability. NCT and NFT demonstrated a physiologically relevant reversal of impaired gut barrier function in the setting of inflammation via significant improvement in TEER and percent permeability.
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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) | 0.001 | 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".