Activation of cAMP Signaling Attenuates Impaired Hepatic Glucose Disposal in Aged Male p21-Activated Protein Kinase-1 Knockout Mice
Bibliographic record
Abstract
p21-activated protein kinase-1 (Pak1) plays a role in insulin secretion and glucagon-like peptide-1 (GLP-1) production. Pak1(-/-) mice were found to carry a defect in ip pyruvate tolerance test (IPPTT), leading us to speculate whether Pak1 represses hepatic gluconeogenesis. We show here that the defect in IPPTT became more severe in aged Pak1(-/-) mice. In primary hepatocytes, 2,2'-dihydroxy-1,1'-dinaphthyldisulfide, a potent inhibitor of group I Paks, reduced basal glucose production (GP), attenuated forskolin- or glucagon-stimulated GP, and attenuated the stimulation of forskolin on the expression of Pck1 and G6pc. In addition, the capacity of primary hepatocytes isolated from Pak1(-/-) mice in GP at the basal level is significantly lower than that of the control littermates. These in vitro observations imply that the direct effect of Paks in hepatocytes is the stimulation of gluconeogenesis and that the impairment in IPPTT in Pak1(-/-) mice is due to the lack of Pak1 elsewhere. Consecutive ip injection of forskolin for 2 weeks increased gut proglucagon expression, associated with improved IPPTT in aged Pak1(-/-) mice and wild-type controls. In addition, administration of the DPP-IV (dipeptidyl peptidase-4) inhibitor sitagliptin for 1 week reversed the defect in IPPTT in aged Pak1(-/-) mice, associated with increased plasma GLP-1 levels. Our observations indicate a potential role of Pak1 in the gut/pancreas/liver axis in controlling glucose disposal and affirmed the therapeutic application of GLP-1 and DPP-IV inhibitors in attenuating hepatic gluconeogenesis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".