Upregulation of macrophage lipoprotein lipase in patients with type 2 diabetes: role of peripheral factors.
Bibliographic record
Abstract
Atherosclerosis is the major complication of diabetes. Accumulating evidence indicates that lipoprotein lipase (LPL) produced by macrophages in the vascular wall may favor the development of atherosclerosis by promoting lipid accumulation within the lesion. We previously demonstrated that high glucose stimulates in vitro murine and human macrophage LPL production. In this study, we measured macrophage LPL mRNA expression, immunoreactive mass, and activity in normotriglyceridemic subjects with type 2 diabetes. Monocytes isolated from healthy control subjects and patients with type 2 diabetes were differentiated into macrophages in RPMI medium containing 20% autologous serum. After 5 days in culture, macrophage LPL mRNA expression, mass, and activity were determined. Macrophages of diabetic patients cultured in their own sera showed a significant increase in LPL mRNA levels, mass, and activity compared with macrophages of control subjects. Differentiation of macrophages of diabetic patients in sera obtained from control subjects significantly reduced these anomalies. Conversely, culturing macrophages of control subjects in sera of diabetic patients significantly increased LPL mass and activity in these cells. Besides LPL overproduction, macrophages of diabetic patients exhibited an increase in basal and LPL-induced tumor necrosis factor (TNF)-alpha release. TNF-alpha alterations were reduced by exposing these cells to sera of control subjects. Overall, these data demonstrate that macrophages of diabetic patients overexpress LPL and TNF-alpha and that peripheral factors dysregulated in diabetes are, at least in part, responsible for these alterations.
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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) | 0.001 | 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 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".