Ldl-cholesterol, ApoB100 Kinetics and Atherosclerosis in Ldlr-deficient Yucatan Minipigs: A New Model for Familial Hypercholesterolemia
Bibliographic record
Abstract
Lack of animal models with human-like lipoprotein metabolism and pathology has hampered translational research in atherosclerosis. Recently, a model of familial hypercholesterolemia was developed in Yucatan miniature pigs, in which the LDL receptor (LDLR) was deleted through gene targeting of exon 4. The objective of the present study was to determine the plasma lipoprotein response to a high fat diet and the kinetics of apolipoprotein (apo) B metabolism in LDLR-deficient miniature pigs. LDLR+/+ (n=5), LDLR+/- pigs (n=6) and LDLR-/- pigs (n=5) were fed a diet containing 34% kcal from fat and 0.2% cholesterol (C). At 6 weeks, the kinetics of plasma apoB100 (fasting) were measured using stable isotopic techniques and multi-compartmental modeling. In chow-fed pigs, LDL-C was 0.8mM, 1.3mM and 14mM in LDLR+/+, LDLR+/- and LDLR-/- pigs, respectively. On diet for 6 weeks, LDL-C increased 1.3-fold (to 1.09mM), 1.7-fold (to 2.3mM) and 1.2-fold (to 15.8mM) in LDLR+/+, LDLR+/- and LDLR-/- pigs, respectively. The effect of genotype or diet on plasma TG and HDL-C was modest. Compared to LDLR+/+ pigs, VLDL apoB100 pool sizes increased 1.4-fold in LDLR+/- and 1.7-fold in LDLR-/- pigs, due primarily to a decrease in fractional catabolic rates (FCR) of 18% and 63%, respectively. Compared to LDL+/+ pigs, LDL apoB100 pool sizes increased 2.2-fold and 14-fold in LDLR+/- and LDLR-/-, respectively, which was due to both 1.5-fold and 2-fold increases in production rates and 24% and 85% decreases in FCR, respectively. At 23 weeks, raised lesion area in the abdominal aorta was 3.3% in LDLR+/- pigs and 48.5% in LDLR-/- pigs. In the left anterior descending coronary artery, lesion area was 14.7x103 μm2 in LDLR+/- pigs and 656x103 μm2 in LDLR-/- pigs. This model should prove useful for translational research in lipoprotein metabolism and atherosclerosis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".