Prolonged Gastrointestinal Transit in a Patient with a Glucagon-Like Peptide (GLP)-1- and -2-Producing Neuroendocrine Tumor
Bibliographic record
Abstract
Neuroendocrine tumors overexpressing the proglucagon- derived peptides have been associated with severe constipation. The relationship between two of the intestinal proglucagon-derived peptides, glucagon-like peptide (GLP)-1 and -2, and delayed gastrointestinal transit, was characterized in a patient with a neuroendocrine proglucagon-derived peptide tumor. A 60-yr-old female presented with intractable constipation and intermittent vomiting. Gastric, oral-ileal and colonic transit times, and plasma hormone levels were determined before tumor resection. Expression of the proglucagon-derived peptides by the tumor was determined by immunohistochemistry, Northern blot analysis, HPLC, and RIA. Oral-cecal transit was more than 3 h, and a barium follow-through study showed dilated and thickened folds with most of the barium concentrated in the ileum at 24 h; residual barium was identified in the colon at 14 d post ingestion. Circulating levels of GLP-1 and -2 were 300- to 400-fold elevated compared with levels in normal human subjects. Normal bowel function was restored by tumor resection. Consistent with the elevated plasma hormone levels, the tumor was found to express the proglucagon gene, and immunoreactive GLP-1 and -2 were detected by both immunohistochemistry and RIA. Overexpression of glucagon-like peptide-1 and -2 is associated with markedly prolonged gastrointestinal transit in humans. These findings are consistent with a role for these peptides in the regulation of gastrointestinal motility.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 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".