Pharmaceutical reversal of insulin resistance.
Bibliographic record
Abstract
Insulin action is approximately doubled following a meal. The mechanism of postprandial insulin sensitization is dependent on hepatic parasympathetic nerves regulated by the prandial status. The nerves provide a permissive signal to the liver that allows insulin to cause the release of a putative hepatic insulin sensitizing substance (HISS) that selectively stimulates glucose uptake into skeletal muscle but not liver or adipose tissue. The parasympathetic signal has several steps identified in the regulatory pathway; acetylcholine acts on muscarinic receptors leading to activation of nitric oxide synthase and generation of HISS. The meal-induced insulin (MIS) sensitization requires hepatic GSH, which decreases with fasting and several disease states. Interfering with the MIS process results in severe insulin resistance with the response to insulin being reduced by approximately 50% to levels seen in the fasted state. A wide range of conditions have been shown to be associated with insulin resistance attributed to lack of the MIS process including insulin resistance; in chronic liver disease produced by chemical damage or bile duct ligation, hepatic denervation, sucrose fed rats, aging, spontaneously hypertensive rats, fetal alcohol exposed adult offspring, spontaneously insulin resistant rats, animals with pharmacological blockade of hepatic muscarinic receptors, NO synthase, cyclooxygenase, hepatic cGMP, and hepatic GSH levels. Pharmaceutical reversal of insulin resistance has been shown in several models using a variety of approaches including mimicking or potentiating the parasympathetic signal using cholinergic agonists, NO donors, cholinesterase antagonists, phosphodiesterase antagonists, and replenishment of hepatic GSH levels. These compounds are being evaluated for therapeutic application by our international academic/industry collaborative team. The MIS process has now been demonstrated in mice, rats, guinea pigs, cats, dogs, and humans, and has been demonstrated by independent laboratories.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".