Inhibitory effect of PPAR‐Gamma activator on IL‐6 and mPGES protein expression in PBMC induced by homocysteine
Bibliographic record
Abstract
The objective was to investigate the relationship between homocysteine (HCY), peroxisome proliferator-activated receptors (PPAR)-gamma and the expression of interleukin 6 (IL-6) and microsomal prostaglandin E synthase (mPGES) by peripheral blood mononuclear cell (PBMC) culture in vitro, as well as to look at the intervention with HCY and PPAR-gamma activators (troglitazone and rosiglitazone). PBMC were isolated from venous blood of normal volunteers and incubated with HCY and PPAR-gamma activator of varying concentrations for 24 hr. The supernatant of the culture medium was collected in order to determine the IL-6 and mPGES levels by ELISA assay. The results show that the expression of IL-6 and mPGES in the HCY experimental group was significantly higher than that in the control group (p<0.01 and p<0.05, respectively). Additionally, the IL-6 and mPGES levels rose with the increase of HCY in a dose-dependent manner (p<0.01 and p<0.05, respectively). PPAR-gamma activator could significantly inhibit the increase of IL-6 and mPGES induced by 100 micromol/L HCY (p<0.05 and p<0.01, respectively). In conclusion, HCY can increase the expression of IL-6 and mPGES, while PPAR-gamma activator can inhibit the increase of IL-6 and mPGES induced by HCY.
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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) | 0.000 | 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) | 0.002 | 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 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".