Body weight control via protein kinase CK2: diet-induced obesity counteracted by pharmacological targeting
Bibliographic record
Abstract
Background Protein kinase CK2 is a highly conserved enzyme implicated in the pathogenesis of various human illnesses including obesity. Despite compelling evidence for the involvement of this kinase in the pathophysiology of obesity, the molecular mechanisms by which CK2 might regulate fat metabolism are still poorly understood. Methods and results In this study, we aimed to elucidate the role of CK2 on lipid metabolism by employing both in vitro and in vivo approaches using mouse pre-adipocytes and a mouse model of diet-induced obesity. We show that pharmacological inhibition of CK2 by CX-4945 results in premature upregulation of p27 KIP1 preventing the progression of cells into mature adipocytes by arresting their development at the intermediate phase of adipogenic differentiation. Consistent with this, we show that in vivo , CK2 regulates the expression levels and ERK-mediated phosphorylation of C/EBPβ, which is one of the earliest transcription factors responsive to adipogenic stimuli. Furthermore, we demonstrate the functional implication of CK2 in the expression of late markers of adipogenesis and factors regulating lipogenesis in liver and white adipose tissue. Finally, we show that while mice subjected to high-fat diet increased their body weight, those additionally treated with CX-4945 gained considerably less weight. NMR-based body composition analysis revealed that this is linked to significant differences in body fat mass. Conclusions Taken together, our study provides novel insights into the role of CK2 in fat metabolism in response to chronic lipid overload and confirms CK2 pharmacological targeting as a potentially powerful strategy for body weight control and/or the treatment of obesity and related metabolic disorders.
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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".