Transforming Growth Factor-β1 Inhibits Macrophage Cholesteryl Ester Accumulation Induced by Native and Oxidized VLDL Remnants
Bibliographic record
Abstract
Transforming growth factor beta1 (TGF-beta1) is secreted by various cells, including macrophages, smooth muscle cells, and endothelial cells. TGF-beta1 is present in atherosclerotic lesions, but its role in regulating macrophage foam cell formation is not understood. Hypertriglyceridemic very low density lipoprotein (VLDL) remnants (VLDL-REMs) in their native or oxidized form will induce cholesteryl ester (CE) and triglyceride (TG) accumulation in macrophages. Therefore, we examined whether TGF-beta1 can modulate the macrophage uptake of native or oxidized VLDL-REMs (oxVLDL-REMs). Incubation of J774A.1 macrophages with VLDL-REMs and oxVLDL-REMs compared with control cells increased cellular CE (13- and 21-fold, respectively) and TG mass (21-and 18-fold, respectively). Preincubation with TGF-beta1 before incubation with VLDL-REMs or oxVLDL-REMs significantly decreased CE (73% and 54%, respectively) and TG mass (42% and 41%, respectively). TGF-beta1 inhibited the activity and expression of 2 key components needed for VLDL-REM uptake: lipoprotein lipase and low density lipoprotein receptor. TGF-beta1 inhibited CE mass induced by oxVLDL-REMs in part by decreasing the expression of scavenger receptor type AI/II and CD36. Furthermore, TGF-beta1 enhanced cholesterol efflux through upregulation of the ATP-binding cassette (ABC) transporters ABCA1 and ABCG1. Thus, TGF-beta1 inhibits macrophage foam cell formation induced by VLDL-REMs or oxVLDL-REMs, which suggests an antiatherogenic role for this cytokine.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".