ApoA-1 Mimetic Peptide ELK-2A2K2E Decreases Inflammatory Factor Levels Through the ABCA1-JAK2-STAT3-TTP Axis in THP-1–Derived Macrophages
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to determine whether the apolipoprotein A-1 (apoA-1) mimetic peptide ELK-2A2K2E regulates inflammatory cytokine expression through activating the adenosine triphosphate-binding cassette transporter A1 (ABCA1)-janus kinase 2 (JAK2)-signal transducer and activator of transcription 3 (STAT3)-tristetraprolin (TTP) signaling pathway in THP-1 macrophage-derived foam cells. METHODS AND RESULTS: The cells were treated with the apoA-1 mimetic peptide ELK-2A2K2E at different concentrations (0, 20, 40, and 80 μg/mL) or incubated with ELK-2A2K2E (40 μg/mL) for different times (0, 6, 12, and 24 hours). Our results showed that the levels of the cytokines, such as tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and monocyte chemoattractant protein-1 (MCP-1), were decreased at both concentration- and time-dependent manners. When the cells were exposed to lipopolysaccharides and actinomycin D, ELK-2A2K2E significantly decreased the mRNA stability of inflammatory cytokines at different time points (0, 30, 60, and 120 minutes) by increasing TTP expression as analyzed by real-time quantitative polymerase chain reaction. The effect of ELK-2A2K2E on TTP was obviously blocked by the inhibition of the JAK-STAT3 pathway. Furthermore, we found that ELK-2A2K2E activated the JAK-STAT3-TTP pathway through the upregulation of ABCA1 and then decreased inflammatory cytokine expression. CONCLUSIONS: ApoA-I mimetic peptide ELK-2A2K2E increases the degradation of TNF-α, IL-6, and MCP-1 mRNA and reduces the levels of inflammatory cytokines through activating the JAK2-STAT3-TTP signaling pathway that is dependent on the upregulation of ABCA1.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".