Macrophage GPR18 signaling activation by Resolvin D2 mediates metabolic switch and cardiac repair after myocardial infarction.
Bibliographic record
Abstract
Abstract Higher inflammatory response is a major cause of heart failure and mortality post myocardial infarction (MI), a major health problem worldwide. Resolution of inflammation, well established as an actively orchestrated programmed response, is mediated by specialized pro-resolving lipid mediators (SPM) and cellular processes like efferocytosis. Resolvin D2 (RvD2), one such potent SPM, is expressed in leukocytes and stimulates the resolution of inflammation through signaling by its receptor GPR18. RvD2 signaling attenuates inflammation in immune-related conditions through macrophage (Mφ) cell-intrinsic and extrinsic mechanisms. The therapeutic potential of SPM has been demonstrated in treatment of sepsis and arthritis. However, the role of Mφ RvD2-GPR18 signaling in heart post-MI has not been elucidated. Here, we demonstrate (i) induction of GPR18 receptor on cardiac Mφ, (ii) >50% reduction in survival of myeloid- and Mφ-specific GPR18-/- mice, (iii) reduced heart function in GPR18-/- mice post-MI, (iv) a GPR18-dependent suppression of TLR4 signaling cytokines, and (v) suppression of TLR4-induced glycolytic metabolism by RvD2-GPR18 signaling in vitro in Mφ from human GPR18 chimeric adult mice. To summarize, our data suggest GPR18-dependent metabolic and phenotype switch to anti-inflammatory Mφ and cardiac repair post-MI. Further interrogation will delineate the intracellular pathways downstream of GPR18 and demonstrate the potential of RvD2 in reducing mortality post-MI.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".