Acute hemorrhage causes hepatic insulin sensitizing substance (HISS)-dependent insulin resistance
Bibliographic record
Abstract
Hepatic insulin sensitizing substance (HISS) has been shown to account for 55% of the action of insulin in the fed state. HISS blockade leads to HISS-dependent insulin resistance (HDIR). The objective of this study was to test the hypothesis that insulin resistance produced by hemorrhage was HDIR. Insulin sensitivity was measured using the rapid insulin sensitivity test (RIST), which can identify HISS-dependent and independent components. Hemorrhage was performed in anesthetized rats by removing blood to reduce mean arterial pressure to 50 mmHg. Subsequent to blood removal, a RIST was performed. The results show that hemorrhage caused complete HDIR as subsequent administration of atropine failed to further reduce insulin sensitivity. However, the post-hemorrhage RIST was reduced by 34% and not the anticipated 55%. The lesser reduction of the RIST index by hemorrhage was related to reduced apparent volume of distribution and clearance of insulin, since occlusion of the superior mesenteric artery, which caused a similar decrease in portal venous flow as did hemorrhage, resulted in a similar degree of reduction of insulin clearance. The response to administered insulin was confounded by the impact of reduced hepatic blood flow on insulin metabolism that resulted in an increase in the HISS independent (direct) action of injected insulin against a background of complete HDIR. HDIR represents a useful hormonal response to assure a hyperglycemic response to hemorrhage.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".