Abnormal release of incretins and cortisol after oral glucose in subjects with insulin-resistant myotonic dystrophy
Bibliographic record
Abstract
OBJECTIVE: Although the incretins, gastric inhibitory polypeptide (GIP) and glucagon-like peptide-1 (GLP-1), as well as glucagon and cortisol, are known to influence islet function, the role of these hormones in conditions of insulin resistance and development of type 2 diabetes is unknown. An interesting model for the study of hormonal perturbations accompanying marked insulin resistance without concomitant diabetes is myotonic dystrophy (DM1). DESIGN: The work was carried out in an out-patient setting. METHODS: An oral glucose tolerance test was performed in 18 males with DM1 and 18 controls to examine the release of incretins and counter-regulatory hormones. Genetic analyses were also performed in patients. RESULTS: We found that the increment in GLP-1 after oral glucose was significantly greater in patients, while there was no significant difference in GIP or glucagon responses between patients and controls, although long CTG repeat expansions were associated with a more pronounced GIP response. Interestingly, the GLP-1 response to oral glucose correlated with the insulin response in patients but not in controls whereas, in controls, the insulin response closely correlated with the GIP response. Furthermore, cortisol and ACTH levels increased paradoxically in patients after glucose; this was more pronounced in patients with long CTG repeat expansions. CONCLUSIONS: This study showed that the GLP-1 and ACTH/cortisol responses to oral glucose are abnormal in insulin-resistant DM1 patients and that CTG triplet repeats are linked to GIP release. These abnormalities may contribute both to the severe insulin resistance and hyperinsulinemia in DM1 and to the preservation of adequate islet function, enabling glucose tolerance to be normal in spite of this marked insulin resistance in DM1.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".