Incretin-stimulated interaction between β-cell Kv1.5 and Kvβ2 channel proteins involves acetylation/deacetylation by CBP/SirT1
Bibliographic record
Abstract
The incretins, GIP (glucose-dependent insulinotropic polypeptide) and GLP-1 (glucagon-like peptide-1) are gastrointestinal hormones conferring a number of beneficial effects on β-cell secretion, survival and proliferation. In a previous study, it was demonstrated that delayed rectifier channel protein Kv2.1 contributes to β-cell apoptosis and that the prosurvival effects of incretins involve Kv2.1 PTMs (post-translational modifications), including phosphorylation and acetylation. Since Kv1.5 overexpression was also shown to stimulate β-cell death, the present study was initiated in order to determine whether incretins modulate Kv1.5α-Kvβ2 interaction via PTM and the mechanisms involved. GIP and GLP-1 reduced apoptosis in INS-1 β-cells (clone 832/13) overexpressing Kv1.5, and RNAi (RNA interference)-mediated knockdown of endogenous Kv1.5 attenuated apoptotic β-cell death. Both GIP and GLP-1 increased phosphorylation and acetylation of Kv1.5 and its Kvβ2 protein subunit, leading to their enhanced interaction. Further studies demonstrated that CBP [CREB (cAMP-response-element-binding protein)-binding protein]/SirT1 mediated acetylation/deacetylation and interaction between Kvβ2 and Kv1.5 in response to GIP or GLP-1. Incretin regulation of β-cell function therefore involves the acetylation of multiple Kvα and Kvβ subunits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".