Tim-4 Inhibits NLRP3 Inflammasome via the LKB1/AMPKα Pathway in Macrophages
Bibliographic record
Abstract
Nonalcoholic fatty liver disease (NAFLD), characterized by excessive inflammation and lipid deposition, is one of the most common metabolic liver diseases. The expression of NLRP3 inflammasome in macrophages is significantly increased in NAFLD, and its activation aggravates NAFLD greatly. Tim-4, as the phosphatidylserine (PS) receptor, is expressed highly in macrophages, and macrophage Tim-4 inhibits inflammation under various conditions of immune activation. However, the precise role of Tim-4 in NLRP3 inflammasome regulation and NAFLD pathogenesis remains completely unknown. Using NAFLD mice models, we confirmed that the expression of Tim-4 was increased in liver tissues by Western blot, real-time PCR, immunohistochemistry, and immunofluorescence, especially higher expression in liver macrophages, and Tim-4 knockout mice displayed more severe liver inflammation and hepatic steatosis than controls in NAFLD mice model. In vitro, we found that Tim-4 could inhibit NLRP3 inflammasome activation, and the inhibition was dependent on PS binding domain in the IgV domain. Mechanistically, Tim-4 induced the degradation of NLRP3 inflammasome components through activating AMPKα-mediated autophagy. Specifically, Tim-4 promoted AMPKα phosphorylation by interacting with LKB1 and AMPKα. In addition, PS binding motif was responsible for Tim-4-mediated AMPKα and LKB1 interaction. In conclusion, NAFLD microenvironments upregulate Tim-4 expression in macrophages, and elevated Tim-4, in turn, suppresses NLRP3 inflammasome activation by activating LKB1/AMPKα-mediated autophagy, thereby ameliorating the release of IL-1β and IL-18. Collectively, this study unveils the novel function of Tim-4 in suppressing NLRP3 inflammasome, which would shed new lights on intervention of NAFLD or inflammatory liver diseases by targeting Tim-4.
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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) | 0.001 | 0.001 |
| 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".