IFN- <i>γ</i> Deficiency Exerts Gender-Specific Effects on Atherogenesis in Apolipoprotein E <sup>-/-</sup> Mice
Why this work is in the frame
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Bibliographic record
Abstract
We have shown recently that administration of exogenous interferon-gamma (IFN-gamma) to apolipoprotein E (apoE)(-/-) mice augmented atherogenesis. In the present study, we examined whether deficiency of endogenous IFN-gamma would reduce atherosclerosis in apoE(-/-) mice. Compound-deficient mice were generated by crossing strain-matched IFN-gamma(-/-) and apoE(-/-) mice and comparing them to apoE(-/-) mice. Groups of both genders were fed either a normal or a high-fat diet. IFN-gamma deficiency did not affect serum cholesterol concentrations or lipoprotein-cholesterol distributions in any groups. IFN-gamma deficiency had no effect on serum triglyceride concentrations, except for an increase noted in males fed a normal diet. The extent of atherosclerosis was determined in tissue sections of the ascending aorta and on the surface of the aortic arch. During feeding of normal diets, IFN-gamma deficiency had no effect on the extent of atherosclerosis in female mice in either vascular bed. In contrast, in male mice fed normal diet, IFN-gamma deficiency markedly decreased lesion size in both vascular beds. During feeding of high-fat diets, IFN-gamma deficiency also had no effect on lesion size in females but profoundly decreased lesion size in the aortic root of male mice. IFN-gamma deficiency had no effect on the abundance of T lymphocytes or MHC class II-positive cells in aortic root lesions of females. By comparison, both these parameters were reduced in lesions of male mice. Therefore, IFN-gamma deficiency decreased atherogenesis, potentially by decreasing T lymphocyte presence and cell activation, without influencing serum cholesterol concentrations. However, this effect is strikingly restricted to male mice.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 it