Effects of fibroblast growth factor 8 (FGF8) on glycolytic activity of bovine cumulus cells during in vitro maturation
Bibliographic record
Abstract
The oocyte regulates cumulus cells differentiation and function via secretion of paracrine factors members of the transforming growth factor β (TGF-β) and fibroblast growth factor (FGF) families. In the mouse, BMP15 and FGF8 cooperate to increase glycolytic activity of cumulus cells (Sugiura et al., 2007. Development. 134(14): 2593-2603). In this study, we tested the hypothesis that FGF8 increases glycolytic activity and abundance of mRNA encoding glycolitic enzymes [platelet phosphofructokinase (PFKP) and lactate dehydrogenase A (LDHA)] and the glucose transporter 1 (GLUT1) in bovine cumulus cells undergoing in vitro maturation (IVM). Follicles 3-8 mm in diameter were aspirated from slaughterhouse bovine ovaries, and grade 1 and 2 COCs were selected, pooled in groups of 20 and submitted to IVM in 4 well plates containing 400 µl of TCM 199 supplemented with pyruvate (22 µg/ml), amikacin (75 µg/ml), FSH (1 µg/ml), BSA (4 mg/ml), and graded doses of FGF8 (0, 1, 10 and 100 ng/ml). IVM was performed at 38.5 °C and 5.5% CO2 for 6 and 9 hours. Glucose and lactate concentrations were measured in the medium by dry chemistry (VITROS®Fusion 5.1 FS – Johnson & Johnson, Ontario, Canada) after 9 hours of culture. Messenger RNA abundance was assessed by real time RT-PCR after 6 hours of culture. Cumulus cells were mechanically separated from oocytes, total RNA was extracted using RNasy kit Qiagen® and reverse transcribed Oligo-dT and Ominiscript. Relative expression values were calculated using CYC-A as the housekeeping gene. FGF8 did not alter lactate production but decreased glucose uptake at 100 ng/ml. FGF8 also decreased GLUT1 mRNA abundance at the same concentration (100 ng/ml), but did not alter the expression of LDHA or PFKP mRNA. In conclusion, the present data suggest that FGF8 decreases glucose uptake in bovine cumulus cells undergoing IVM by mechanisms involving reduced expression of GLUT1.
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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 | 0.002 |
| 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".