Abstract 110: Deficiency of Apolipoprotein F Protects Mice from Western Diet-Induced Atherosclerosis on an LDL Receptor Knockout Background
Bibliographic record
Abstract
Apolipoprotein F (ApoF) is an acidic sialogycoprotein found on high density and low density lipoproteins. We have generated mice lacking the ApoF gene on a pure C57BL/6 background. These mice were crossed with Low Density Lipoprotein Receptor (LDLR) deficient mice to investigate a potential role for ApoF in atherogenesis. LDLR KO and ApoF/LDLR double knockout (DKO) mice were fed a western diet containing 0.21 % cholesterol 21 % fat (w/w). The aortas were removed and stained with Oil Red-O to quantify lesion area by en face analysis. After 16 weeks of feeding, male ApoF/LDLR DKO mice had a 36% reduction in lesional area relative to LDLR KO control animals (DKO 4.9 +/- 1.6% versus LDLR 7.7 +/- 2.1%; p <0.05). Likewise, after 17 weeks of western diet feeding, female ApoF/LDLR DKO mice showed a 38% reduction in lesional area (DKO: 4.9 +/- 1.5 versus LDLR: 7.8 +/- 1.0; p < 0.05). Plasma total cholesterol, HDL cholesterol, and triglycerides did not significantly differ by ApoF genotype on the western diet. The data suggest the ApoF locus may play an important role in atherosclerosis, likely through mechanisms not directly related to plasma cholesterol levels.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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".