Overexpression of Gly56/Gly80/Gly81-Mutant Insulin-Like Growth Factor-Binding Protein-3 in Transgenic Mice
Bibliographic record
Abstract
IGF-independent effects of IGF-binding protein-3 (IGFBP-3) have been demonstrated in vitro; however, the physiological significance of these effects in vivo is unclear. We generated two transgenic (Tg) mouse strains that overexpress a human Gly56/Gly80/Gly81-mutant IGFBP-3 cDNA. This mutant has a markedly reduced affinity for the IGFs, but retains the IGF-independent effects. Serum levels of mutant IGFBP-3 were 156 +/- 12 and 400 +/- 24 ng/ml in hemizygous mice of strains 5005 and 5012, respectively. When Tg and wild-type mice were compared, there was no reduction in birth weight, litter size, or postnatal growth. Despite differences in transgene expression in various tissues, relative organ weight was similar in Tg and wild-type mice, with exception of brain, where a modest reduction in brain weight was observed in the high-expressing 5012 lineage. There was also a significant reduction in proliferating cell nuclear antigen-staining cells observed in the periventricular region of the developing brain in embryonic d 18 Tg embryos. In the higher expressing 5012 Tg strain, IGF-I and murine IGFBP-3 levels, marker of GH action were increased. Furthermore, there was a positive correlation between mutant IGFBP-3 levels and IGF-I levels and between mutant IGFBP-3 levels and murine IGFBP-3 (P = 0.002 and P < 0.001, respectively). These data indicate that overexpression of mutant IGFBP-3 is not associated with growth retardation. The higher levels of IGF-I and murine IGFBP-3 in the 5012 Tg strain suggest that the growth inhibitory effect of mutant IGFBP-3 may be compensated for by other mechanisms.
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) | 0.001 | 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) | 0.002 | 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".