Drak2 Is Upstream of p70S6 Kinase: Its Implication in Cytokine-Induced Islet Apoptosis, Diabetes, and Islet Transplantation
Bibliographic record
Abstract
Drak2 is a member of the death-associated protein family and a serine threonine kinase. In this study, we investigated its role in beta cell survival and diabetes. Drak2 mRNA and protein were rapidly induced in islet beta cells after stimulation by inflammatory lymphokines known to be present in type 1 diabetes. Drak2 up-regulation was accompanied by increased beta cell apoptosis. beta cell apoptosis caused by the said stimuli was inhibited by Drak2 knockdown using small interfering RNA. Conversely, transgenic Drak2 overexpression led to aggravated beta cell apoptosis triggered by the stimuli. Further in vivo experiments demonstrated that Drak2 transgenic islets were more vulnerable to streptozocin insult. We established that inducible NO synthase was upstream and caspase-9 was downstream of Drak2 in its signaling pathway. Purified Drak2 could phosphorylate ribosomal protein S6 (p70S6) kinase in an in vitro kinase assay. Drak2 overexpression in NIT-1 cells led to enhanced p70S6 kinase phosphorylation, whereas Drak2 knockdown in these cells reduced it. These mechanistic studies proved that p70S6 kinase was a bona fide Drak2 substrate.
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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".