Homocysteine Induces Protein Kinase C Activation and Stimulates c-Fos and Lipoprotein Lipase Expression in Macrophages
Bibliographic record
Abstract
Hyperhomocysteinemia is an independent risk factor for cardiovascular disease in human diabetes. Among the multiple factors that may account for the atherogenicity of homocysteine (Hcys) in patients with diabetes, macrophage (Mo) lipoprotein lipase (LPL) has unique features in that it is increased in human diabetes and acts as a proatherogenic factor in the arterial wall. In the present study, we determined the direct regulatory effect of Hcys on Mo LPL gene expression and secretion. Incubation of J774 Mo with Hcys increased, in a time- and dose-dependent manner, LPL mRNA expression and secretion. Induction of LPL gene expression was biphasic, peaking at 1 and 6 h. Whereas Hcys treatment increased protein kinase C (PKC) activity in Mo, pretreatment of Mo with PKC inhibitors totally suppressed Hcys-induced LPL mRNA expression. Hcys also increases the levels of c-fos mRNA in Mo and enhanced nuclear protein binding to the AP-1 sequence of the LPL gene promoter. Overall, these results demonstrate that Hcys stimulates Mo LPL at both the gene and protein levels and that Hcys-induced LPL mRNA expression requires PKC activation. They also suggest a possible role of c-fos in the stimulatory effect of Hcys on Mo LPL mRNA expression. These observations suggest a new mechanism by which Hcys may exert its proatherogenic effects in human diabetes.
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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".