Selective Inactivation of c-Jun NH2-Terminal Kinase in Adipose Tissue Protects Against Diet-Induced Obesity and Improves Insulin Sensitivity in Both Liver and Skeletal Muscle in Mice
Bibliographic record
Abstract
OBJECTIVE: Obesity is associated with increased activation of the c-Jun NH(2)-terminal kinase (JNK) in several metabolic organs, including adipose tissue, liver, and skeletal muscle. In this study, we aimed to define the role of JNK activation in adipose tissue in the development of obesity-related insulin resistance. RESEARCH DESIGN AND METHODS: Transgenic mice with adipose tissue-specific overexpression of dominant-negative JNK (ap2-dn-JNK) under the transcriptional control of the aP2 gene promoter were generated and subjected to metabolic characterization together with the wild-type littermates. RESULTS: On a high-fat diet (HFD), the ap2-dn-JNK mice displayed a marked suppression of both JNK1 and JNK2 activation in their adipose tissue, accompanied by a marked reduction in weight gain, fat mass, and size of the adipocytes. The transgenic mice were resistant to the deleterious impact of an HFD on systemic insulin sensitivity, glucose tolerance, and hepatic steatosis. Reduced hepatic gluconeogenesis was evident in in vivo and ex vivo studies and showed greater insulin-induced glucose uptake in skeletal muscles. These changes were accompanied by reduced macrophage infiltration in adipose tissue, decreased production of proinflammatory adipokines, and increased expression of adiponectin. Indirect calorimetry analysis showed that the transgenic mice had significant increases in oxygen consumption and reductions in respiration exchange rates compared with their wild-type littermates. CONCLUSIONS: Selective suppression of JNK activation in adipose tissue alone is sufficient to counteract HFD-induced obesity and its associated metabolic dysregulations, in part through an increase in energy expenditure and a decrease in systemic inflammation.
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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) | 0.000 | 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 | 0.000 |
| 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".