The Single Dose Poloxamer 407 Model of Hyperlipidemia; Systemic Effects on Lipids Assessed Using Pharmacokinetic Methods, and its Effects on Adipokines
Bibliographic record
Abstract
PURPOSE: The induction of hyperlipidemia using poloxamer 407 (P407) is gaining use for studying the effect of the condition on drug pharmacokinetics. Although a single intraperitoneal dose of P407 causes a rapid onset of hyperlipidemia, the initial lipid concentrations are much higher than seen in humans. The hyperlipidemia is also reversible in nature. Here, pharmacokinetic methods were used to assess the P407 dose response on serum lipids, adipokines and cytokines. METHODS: Single 0.5 and 1 g/kg doses of P407 were injected into rats followed by blood collection at various times for up to 12 d. Serum was assayed for lipids, selected adipokines and cytokines. RESULTS: As expected, large increases in lipid levels were seen by 36 h after dosing. Using area under the concentration vs. time curve as a measure of systemic lipid exposure, P407 increased serum baseline corrected serum lipids in a nearly dose proportional fashion. The maximum increase in lipids was observed at ~36 h, with most lipids remaining elevated for up to ~180 h, although for the 1 g/kg dose triglyceride concentrations had still not quite returned to baseline by 12 days postdose. In addition to changes in lipids, P407 significantly increased serum leptin and decreased the serum adiponectin concentrations but did not affect cytokine levels. CONCLUSION: Depending on study aims, for the use of the model it may be beneficial to perform single-dose assessments at time points later than 36 h when the lipoprotein concentrations will be more similar to those seen in patient with hyperlipidemia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".