Acute regulation of intestinal ion transport and permeability in response to luminal nutrients: the role of the enteric nervous system
Bibliographic record
Abstract
The small intestine regulates barrier function to absorb nutrients while avoiding the entry of potentially harmful substances or bacteria. Barrier function is dynamically regulated in part by the enteric nervous system (ENS). The role of the ENS in regulating barrier function in response to luminal nutrients is not well understood. We hypothesize that the ENS regulates intestinal permeability and ion flux in the small intestine in response to luminal nutrients. Segments of jejunum and ileum from mice were mounted in Ussing chambers. Transepithelial electrical resistance (TER), short-circuit current ( Isc), and permeability to 4-kDa FITC-dextran (FD4) were recorded after mucosal stimulation with either glucose, fructose, glutamine (10 mM), or 5% Intralipid. Mucosal lipopolysaccharide (1 mg/mL) was also studied. Enteric neurons were inhibited with tetrodotoxin (TTX; 0.5 μM) or activated with veratridine (10 μM). Enteric glia were inhibited with the connexin‐43 blocker Gap26 (20 μM). Glucose, glutamine, Intralipid, and veratridine acutely modified Isc in the jejunum and ileum, but the effect of nutrients on Isc was insensitive to TTX. TTX, Gap26, and veratridine treatment did not affect baseline TER or permeability. Intralipid acutely decreased permeability to FD4, while LPS increased it. TTX pretreatment abolished the effect of Intralipid and exacerbated the LPS‐induced increase in permeability. Luminal nutrients and enteric nerve activity both affect ion flux in the mouse small intestine acutely but independently of each other. Neither neuronal nor glial activity is required for the maintenance of baseline intestinal permeability; however, neuronal activity is essential for the acute regulation of intestinal permeability in response to luminal lipids and lipopolysaccharide. NEW & NOTEWORTHY Luminal nutrients and enteric nerve activity both affect ion transport in the mouse small intestine acutely, but independently of each other. Activation or inhibition of the enteric neurons does not affect intestinal permeability, but enteric neural activity is essential for the acute regulation of intestinal permeability in response to luminal lipids and lipopolysaccharide. The enteric nervous system regulates epithelial homeostasis in the small intestine in a time-dependent, region- and stimulus-specific manner.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".