Validation of dual stable isotope method for measuring cholesterol absorption in hamsters
Bibliographic record
Abstract
Although dual stable isotope method has been used to measuring cholesterol absorption rate in hamsters, this method is adopted from humans and has not been well validated in hamster model. Thus, we have conducted two studies in hamsters to validate this method in terms of optimum time points and effective dose of two cholesterol tracers. After 2 wk of adaptation, male Golden Syrian hamsters were administered orally with 18 O‐cholesterol (0.45 mg in study 1 and 0.6 mg in study 2) and intravenously injected with 13 C‐cholesterol (0.18 mg in study 1 and 0.24 mg in study 2). Blood samples were collected at 0, 6, 24, 48, 72, 96, and 120 h, respectively following the injection. The enrichment of 18 O and 13 C in free cholesterol of red blood cells was analyzed using isotope ratio mass spectrometry (IRMS) and used to calculate cholesterol absorption rate. The results showed that both tracers increased gradually in the first 6 or 24h and gradually declined over next 4 days. The tracers at low and high doses behaved similarly over the time. The ratio of 18 O/ 13 C reached a plateau at 48 h and stayed constant until 96 h. The percent cholesterol absorption rate did not differ among 48, 72 and 96 h. These results suggest that cholesterol absorption rate can be measured precisely using the dual stable isotope method at 48 or 72h with the injection of lower dose of stable isotope. Supported by Atlantic Innovation Fund, Canada
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".