Cerebral angiogenic factors, angiogenesis, and physiological response to chronic hypoxia differ among four commonly used mouse strains
Bibliographic record
Abstract
Angiogenesis is a critical element for adaptation to low levels of oxygen and occurs following long-term exposure to mild hypoxia in rats. To test whether a similar response in mice occurs, CD1, 129/Sv, C57Bl/6, and Balb/c mice were exposed to 10% oxygen for up to 3 wk. All mice showed significant increases in the percentage of packed red blood cells, and CD1 and 129/Sv mice showed increased respiration frequency and minute volume, common physiological measures of hypoxia. Significant angiogenesis was observed in all strains except Balb/c following 3-wk exposure to chronic hypoxia. CD1 hypoxic mice had the largest increase (88%), followed by C57Bl/6 (48%), 129/Sv (41%), and Balb/c (12%), suggesting that some mice undergo more remodeling than others in response to hypoxia. Protein expression analysis of vascular endothelial growth factor (VEGF), angiopoietin (Ang)-1 and Ang2, and Tie2 were examined to determine whether regulation of different angiogenic proteins could account for the differences observed in hypoxia-induced angiogenesis. CD1 mice showed the strongest upregulation of VEGF, Ang2, Ang1, and Tie2, whereas Balb/c had only subtle increases in VEGF and no change in the other proteins. C57Bl/6 mice showed a regulatory response that fell between the CD1 and Balb/c mice, consistent with the intermediate increase in angiogenesis. Our results suggest that genetic heterogeneity plays a role in angiogenesis and regulation of angiogenic proteins and needs to be accounted for when designing and interpreting experiments using transgenic mice and when studying in vivo models of angiogenesis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".