Effects of incretin hormones on β‐cell multiple delayed rectifier K+ channels
Bibliographic record
Abstract
Incretins, glucose‐dependent insulinotropic polypeptide (GIP) and glucagon‐like peptide‐1 (GLP‐1), potentiate glucose‐stimulated insulin secretion in pancreatic β‐cells. Voltage gated K + (Kv) channels are considered to be involved in the insulinotropic actions of GIP and GLP‐1. However, the distinct roles of incretins on Kv channels have not been fully understood. Here, we have identified subtypes of Kv channels involved in the generation of delayed rectifying currents (I DR ) and characterized the effects of incretins on each subtype. In GIP receptor expressing HEK293 cells, GIP treatment resulted in 42 %, 52 % and 22 % reductions in Kv2.1, Kv1.5 and Kv3.2 macroscopic currents respectively. On the other hand, GLP‐1 treatment resulted in 50 % and 59 % decreases in Kv2.1 and Kv1.5, but not in Kv 3.2 currents in GLP‐1 receptor expressing HEK293 cells. Overexpression of Kv2.1, Kv1.5 and Kv3.2 improved the insulinotropic effects of incretins. Additionally, we have shown expression of Kv2.1, Kv1.5 and Kv3.2 in human islets, and that GIP and GLP‐1 treatment resulted in 40.4 % and 40.5 % decreases in islet I DR , respectively. Taken together, these results indicate that GIP and GLP‐1 use different subtypes of Kv channels to exert their insulinotropic effects on pancreatic β‐cells. To our knowledge, this is the first demonstration of the molecular components of I DR within the enteroinsular axis where incretins are working.
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 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) | 0.001 | 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".