Effect of Massive Small Bowel Resection on Components of the Peptidergic Innervation of the Rat Small Intestine
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The effect of massive small bowel resection on the immunostaining of neuropeptides in the submucous plexus of the retained small intestine was examined. The neuropeptides chosen were somatostatin and vasoactive intestinal polypeptide because these are markers for two of the major populations of neurons in the plexus. Three different methods were used to assess the effect of resection on the enteric nervous system. Firstly immunocytochemical staining of neuropeptide containing neurons and nerve fibers was compared between test and control animals. The results demonstrated a significant increase in the number and size of the vasoactive intestinal polypeptide containing neurons with no change in the number of somatostatin neurons although these were also increased in size. Secondly the possibility that the increase in neuron number might be the result of neuronal division was examined by 3H-thymidine incorporation experiments. The results demonstrated that no neuronal elements were labelled. Finally the possibility that the increase in vasoactive intestinal peptide was the result of an increase in transcription was assessed by Northern blot analysis. The results demonstrated a small but significant increase in mRNA levels. It was concluded that massive small bowel resection directly affects neuropeptide levels in the submucous plexus, resulting in an increase in vasoactive intestinal polypeptide-immunoreactive neurons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 it