The role of YAP/TAZ signaling in dendritic cell-mediated pathogenesis of insulin resistance and non-alcoholic fatty liver disease
Bibliographic record
Abstract
Abstract Obesity and insulin resistance (IR) are global health challenges linked to metabolic diseases, such as type 2 diabetes and non-alcoholic fatty liver disease (NAFLD). High-caloric intake, which is associated to NAFLD, induces adipocyte hypertrophy and inflammation, triggering dendritic cell (DC) activation and systemic inflammation. DC exacerbate inflammation by promoting pro-inflammatory responses, aggravating IR and NAFLD progression. NAFLD is characterized by liver fibrosis, which alters tissue stiffness that can trigger mechanosensing pathways such as the Hippo pathway in immune cell types. In this work we explored the roles of key mediators of the Hippo pathway, YAP and TAZ, in DCs within the context of liver fibrosis, obesity and IR, using a model of NAFLD induced by feeding a high fat high sucrose diet. Our findings indicate that specific deletion of YAP and/or TAZ in DCs had minimal impact on IR development and metabolic tissue inflammation. We conclude that YAP and TAZ have limited and possibly redundant roles in the immune pathophysiology of NAFLD and IR.
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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 | 0.000 |
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".