Activation of AMP-activated protein kinase may not be involved in AICAR- and metformin-mediated meiotic arrest in bovine denuded and cumulus-enclosed oocytes <i>in vitro</i>
Bibliographic record
Abstract
The adenosine monophosphate-activated protein kinase (AMPK) activators, 5'-aminoimidazole-4-carboxamide 1-β-D-ribofuranoside (AICAR) and metformin (MET), inhibit resumption of meiosis in bovine cumulus-enclosed oocytes (CEO) and denuded oocytes (DO). The objectives of this study were to: (1) examine the effects of AMPK inhibitors on bovine oocyte meiosis in vitro; and (2) determine if AICAR or MET activates oocyte and/or cumulus cell AMPK. The AMPK inhibitor compound C (CC; 0.5, 1, 5, and 10 μM) did not reverse the inhibitory effects of AICAR (1 mM) and MET (2 mM) on bovine oocyte meiosis. Additionally, CC (5 and 10 μM) inhibited meiosis (p < 0.05) in CEO and DO cultured for 7 h. Okadaic acid (1 μM) reversed the inhibitory effect of MET (2 mM) and CC (5 μM; p < 0.05) but not of AICAR (1 mM). Phosphorylation of the alpha subunit of AMPK on Thr172 is required for activation. Based on western blot analysis, AICAR, MET and CC did not affect Thr172 phosphorylation levels in DO and oocytes from complexes (p > 0.05). In cumulus cells, Thr172 phosphorylation decreased after 3 h of culture (p < 0.05), regardless of the presence of AMPK modulators in the culture medium. Higher concentrations of AICAR (2 mM) and MET (10 mM) did not affect Thr172 phosphorylation, but phosphorylation on Ser79 of ACC, a substrate of AMPK, was increased in response to MET (p < 0.05). In conclusion, we inferred that the inhibitory effect of AICAR and MET on bovine oocyte meiosis was probably not mediated through activation of AMPK. Moreover, these compounds probably inhibited meiosis through different pathways.
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".