Circulating free fatty acids are increased independently of PPARγ activity after administration of poloxamer 407 to mice
Bibliographic record
Abstract
Poloxamer 407 (P-407) is a copolymer surfactant that induces a dose-controlled dyslipidemia in both mice and rats. Human macrophages cultured with P-407 exhibit a concentration-dependent reduction in cholesterol efflux to apolipoprotein A1 (apoA1) linked to downregulation of the ATP-binding cassette transporter A1 (ABCA1). Activators of peroxisome proliferator-activated receptor gamma (PPARgamma), as well as PPARalpha, increase expression of liver X receptor alpha (LXRalpha) in macrophages and promote the expression of ABCA1, which, in turn, mediates cholesterol efflux to apoA1. The present study investigated whether P-407 interferes with this signaling pathway. A transactivation assay was used to evaluate whether P-407 can either activate or inhibit the transcriptional activity of PPARgamma. Because thiazolidinedione drugs (PPARgamma agonists) improve glycemic control in type 2 diabetes by reducing blood glucose concentrations, P-407 was also evaluated for its potential to alter plasma insulin and blood glucose concentrations in wild-type (C57BL/6) and PPARgamma-deficient mice. Additionally, because thiazolidinediones attenuate release of free fatty acids (FFAs) from adipocytes and, consequently, decrease circulating plasma levels of FFAs, plasma concentrations of circulating FFAs were also determined in P-407-treated mice. P-407 was unable to modulate PPARgamma activity in cell-based transactivation assays. Furthermore, P-407 did not perturb plasma insulin and blood glucose concentrations after administration to mice. However, by an as yet unidentified mechanism, P-407 caused a significant increase in the serum concentration of FFAs in mice beginning 3 h after administration and lasting more than 24 h postdosing. It is concluded that P-407 does not interfere with the functional activity of PPARgamma after administration to mice.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".