2472-PUB: JNK1 Plays a Causal Role in Palmitate-induced ß-Cell Dysfunction In Vivo
Bibliographic record
Abstract
In obesity, chronically elevated circulating free fatty acids (FFA) potentially cause ß-cell dysfunction which leads to type 2 diabetes (T2D). In vitro data have identified various cellular mechanisms leading to FFA-induced ß-cell dysfunction including activation of inflammatory kinase c-Jun N-terminal kinase (JNK). In the ß-cell, JNK1 responds to oxidative stress or ER stress, which can both be caused by FFA. Previous in vitro studies from our group have demonstrated that islets of JNK1-null mice are protected from the effect of palmitate but not oleate on inducing ß-cell dysfunction, suggesting that activation of JNK1 is specific to saturated FFA. Thus, we hypothesized that saturated FFA-induced ß-cell dysfunction is mediated in part by JNK. Due to its detergent effects, palmitate cannot be infused directly into circulation. Thus, ethylpalmitate was used, as the ethyl group reduces the toxic effect. Mice can hydrolyze the ethyl group in circulation, producing palmitate and ethanol. JNK1-null (KO) mice and their littermate controls (WT) were infused with ethylpalmitate or ethanol vehicle for 48 hours, after which their pancreatic islets were isolated for ex vivo determination of insulin secretion. We confirmed that ethylpalmitate infusion does significantly increase plasma FFA as compared to vehicle infusion. We found that WT mice infused with ethylpalmitate demonstrated significantly decreased insulin secretion as compared with WT mice infused with vehicle, whereas JNK1-null mice infused with ethylpalmitate had similar insulin secretion as controls. These data suggest that JNK1 plays a causal role in saturated FFA-induced ß-cell dysfunction in vivo. Disclosure J. Yung: None. L. Yeung: None. A. Nahle: None. K. Koulajian: None. A. Giacca: Research Support; Self; Jazz Pharmaceuticals. Funding Canadian Institutes of Health Research
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.272 | 0.124 |
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".