Ovarian expression of human insulin‐like growth factor‐I in transgenic mice results in cyst formation
Bibliographic record
Abstract
Insulin-like growth factor-I (IGF-I) has been implicated in a wide variety of physiological processes including ovarian function. To better understand the ovarian role of IGF-I, transgenic mice harbouring a human IGF-I cDNA (hIGF-I) under the control of the mouse LH receptor promoter were generated. Expression of the hIGF-I, determined by Northern blot, was found to occur in the gonad tissues of these transgenic mice. The hIGF-I protein was also detectable by radioimmunoassay in ovarian extracts as well as in the plasma. The fertility of mating transgenic females, as estimated by the number of implantation sites post-coitum, did not appear to be affected. However, transgenic females who failed to mate and produce offspring were found to possess polycystic ovaries. Evaluation of testosterone, estradiol, and LH levels revealed that transgenic animals had significantly elevated circulating levels of testosterone compared to their non-transgenic littermates, while LH levels in transgenic females were significantly lower. Yet, estradiol appeared to be unaffected. These results support the contention that the IGF system plays an important role in ovarian function and that an imbalance in this system may result in ovarian pathology.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".