Caspase-12, but Not Caspase-11, Inhibits Obesity and Insulin Resistance
Bibliographic record
Abstract
Inflammation is well established to significantly impact metabolic diseases. The inflammatory protease caspase-1 has been implicated in metabolic dysfunction; however, a potential role for the related inflammatory caspases is currently unknown. In this study, we investigated a role for caspase-11 and caspase-12 in obesity and insulin resistance. Loss of caspase-12 in two independently generated mouse strains predisposed mice to develop obesity, metabolic inflammation, and insulin resistance, whereas loss of caspase-11 had no effect. The use of bone marrow chimeras determined that deletion of caspase-12 in the radio-resistant compartment was responsible for this metabolic phenotype. The Nlrp3 inflammasome pathway mediated the metabolic syndrome of caspase-12-deficient mice as ablation of Nlrp3 reversed Casp12(-/-) mice obesity phenotype. Although the majority of people lack a functional caspase-12 because of a T(125) single nucleotide polymorphism that introduces a premature stop codon, a fraction of African descendents express full-length caspase-12. Expression of caspase-12 was linked to decreased systemic and adipose tissue inflammation in a cohort of African American obese children. However, analysis of the Dallas Heart Study African American cohort indicated that the coding T(125)C single nucleotide polymorphism was not associated with metabolic parameters in humans, suggesting that host-specific differences mediate the expressivity of metabolic disease.
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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".