N-Propargyl Caffeamide Skews Macrophages Towards a Resolving M2-Like Phenotype Against Myocardial Ischemic Injury via Activating Nrf2/HO-1 Pathway and Inhibiting NF-ĸB Pathway
Bibliographic record
Abstract
BACKGROUND/AIMS: Macrophages exhibit dynamic pro-inflammatory and resolving activities in myocardial infarction. The present study investigated whether caffeic acid derivatives could induce macrophage polarization towards a resolving M2 phenotype against myocardial infarction injury. METHODS: Western blotting, RT-PCR and flow cytometry techniques are used to evaluate macrophage biomarkers expression and specific proteins in the related signaling pathways. Ligation of the left anterior descending artery induced rat model of myocardial infarction, TTC staining and immunohistochemical staining are used to examine cardioprotective effect in vivo. RESULTS: We initially evaluated the anti-inflammatory activity of four caffeic acid derivatives including n-propargyl caffeamide (PACA) in RAW264.7 macrophages. As result, PACA selectively suppressed the up-regulation of inducible nitric oxide synthase (iNOS) over cyclooxygenase-2 (COX-2) in lipopolysaccharides (LPS)-stimulated cells. We subsequently examined the effects of PACA on macrophage polarization by determining macrophage biomarkers. PACA down-regulated M1 biomarkers (e.g., iNOS, tumor necrosis factor-α (TNF-α), C-X-C motif chemokine 10 (CXCL10) and CD80) but up-regulated M2 biomarkers (e.g., Ym-1 and arginase-1). On the other hand, PACA suppressed macrophage chemotaxis while enhanced macrophage phagocytosis. We further examined the in vivo cardioprotective activity of PACA in a rat model of myocardial infarction. Following ligation of the left anterior descending artery, PACA treatment effectively reduced myocardial infarct size and promoted macrophage M2 polarization. We finally explored the underlying mechanisms. We found that PACA attenuated LPS-induced NF-ĸB activation while activated Nrf2/HO-1 pathway. HO-1 inhibitor SnPP attenuated the effects of PACA on iNOS expression in LPS-challenged macrophages, possibly by regulating the cross-talk between HO-1 and NF-ĸB pathways. CONCLUSIONS: The key finding from the present study was that PACA promoted timely switch of macrophage phenotypes from pro-inflammatory M1 to resolving M2. We anticipate that PACA is a potential drug candidate for the resolution of inflammation and cardiac repair after myocardial infarction.
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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) | 0.001 | 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 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".