A general IGF-I overexpression effectively rescued somatic growth and bone deficiency in mice caused by growth hormone receptor knockout
Bibliographic record
Abstract
Both growth hormone and insulin-like growth factor (IGF)-I are essential for postnatal somatic growth, while exerting distinct effects on energy homeostasis. Although growth hormone controls IGF-I production, whether IGF-I was the exclusive mediator of its growth promotion is still debated. In order to further explore their in vivo interactions in somatic growth as well as in energy homeostasis, we have crossed mutant (MT-IGF) transgenic mice onto the GHR - / - background. As expected, GHR gene deficiency caused growth retardation, including significant decreases in lumbar, femur and total body lengths, as well as decreased bone area, mineral content and mineral density. IGF-I overexpression alone in MT-IGF mice increased the weight, with no significant change in bone mineralization or longitudinal growth. Compared to GHR - / - littermates, overexpressed IGF-I in bitransgenic mice (GHR - / - and MT-IGF positive) exhibited fully restored body weight, lumbar (but not femur) and total body lengths, and normalized overall bone area, mineral content and density. On the other hand, there were significant changes in fasting glucose level, glucose tolerance, lean/fat masses and even adipose histology as a result of the transgenic/knockout double-crossing. IGF-I overexpression normalized glucose tolerance in GHR - / - mice. Intriguingly, on GHR+/ - background of partial growth hormone insensitivity, overexpression of IGF-I caused a significant weight gain. Our results thus establish that the growth defect and bone deficiency caused by lack of growth hormone signaling can be effectively restored by increasing IGF-I production in vivo.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".