Milk fat globule epidermal growth factor-8 limits tissue damage through inflammasome modulation during renal injury
Bibliographic record
Abstract
Abstract Mediators released by apoptotic renal resident cells play a crucial role in modification of the inflammatory microenvironment. We have demonstrated that milk fat globule epidermal growth factor 8 (MFG-E8) is released by apoptotic cells, which results in reduced proinflammatory cytokine production by macrophages. The present study was designed to study the role of MFG-E8 on the modulation of tissue damage and macrophage phenotype in a renal inflammatory model, unilateral ureteral obstruction (UUO). C57BL/6 WT or MFG-E8 KO mice underwent ureteral ligation for 3, 7, and 14 d to evaluate renal injury. MFG-E8 (30 µg/kg) or vehicle was also administered i.p. MFG-E8 administration reduced kidney damage and fibrosis compared with control, whereas its absence in MFG-E8 KO mice was associated with more severe disease. Moreover, MFG-E8 administration was associated with decreased inflammasome activation in the kidney. Furthermore, adoptive transfer of MFG-E8–stimulated macrophages reduced activation of inflammasome and tissue damage. In all cases, both the systemic administration of MFG-E8 and MFG-E8–treated macrophages promoted accumulation of anti-inflammatory CD206+ macrophages. We propose that the protective role of MFG-E8 is mediated through anti-inflammatory macrophage reprogramming which results in decreased inflammasome activation, preventing severe tissue damage. These data provide valuable insight for identification of MFG-E8 as a novel target in modulation of inflammatory diseases.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".