Treatment with sulodexide, an endothelial glycocalyx‐mimetic, restores glucose tolerance in high fat diet‐fed mice
Bibliographic record
Abstract
We tested if treatment with sulodexide, a glycocalyx‐mimetic, restores glycocalyx dimensions and whole‐body glucose tolerance induced by a high fat diet (HFD) in mice. C57Bl/6 mice were fed normal chow (n=5) or a HFD for 6 weeks (n=16), and half of these HFD‐fed mice were treated with sulodexide in their drinking water (15mg/100mL) for the final two weeks of the feeding period. At the day of experiment, the microcirculation of the hindlimb muscle was measured with a Sidestream Dark‐field camera under anesthesia, and dynamic variations in RBC column width in all visible microvessels were determined. Further, glucose tolerance was measured by i.p. injection of 1g/kg glucose and determining the area under the curve of blood glucose (AUCgluc). While median perfused RBC column diameter (± 6 μm) did not change, HFD mice were associated with increased outward movement of RBCs into glycocalyx (2.5 ± 0.3 μm vs 1.6 ± 0.3 μm in control, P<0.05), and this effect was impaired after sulodexide treatment (2.1 ± 0.3 μm; NS vs control). The AUCgluc was also increased in HFD‐fed mice versus control (1005.2 ± 59.8 mmol/L*90min. vs 773.7.1 ± 55.0 mmol/L*90min, P<0.05) and this effect was prevented after sulodexide treatment (780.4 ± 31.8 mmol/L*90min., NS vs control). In conclusion, two week sulodexide treatment partially restores glycocalyx dimensions and appears to reverse the HFD‐induced decline in whole‐body glucose tolerance in mice. Supported by DFN 2006.00.027, and CTMM work package 01C‐ 104‐04‐PREDICCT
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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) | 0.001 | 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 | 0.001 |
| 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".