Variable effects of gender and <scp>W</scp>estern diet on lipid and glucose homeostasis in aged <scp>PCSK9</scp>‐deficient <scp>C57BL</scp>/6 mice 性别与西方饮食对CSK9基因缺陷的PC57BL/6老龄小鼠的脂质以及葡萄糖内稳态的不同影响
Bibliographic record
Abstract
BACKGROUND: Proprotein convertase subtilisin/kexin-type 9 (PCSK9) downregulates clearance of plasma cholesterol by liver. Its inactivation increases this clearance, reducing cardiovascular risk. However, a lack of PCSK9 could also lead to cholesterol accumulation in pancreatic islet beta cells, impairing insulin secretion. We reported earlier that 4-month-old male PCSK9-deficient (KO) C57BL/6 mice were hyperglycemic and insulin-insufficient relative to their wild-type (WT) counterparts. Here, we examined how gender and diet affect lipid and glucose homeostasis in these mice at 8 months of age. METHODS: After being fed a normal diet or a Western diet for over 6 months, KO mice were compared with same-gender WT mice for fasting plasma levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glucose, and insulin; for glucose disposal and glucose-stimulated insulin secretion (GSIS); and for pancreatic islet morphology. RESULTS: A. Females: On normal diet, KO mice showed lower plasma TC, HDL-C, and LDL-C, higher plasma glucose, and normal glucose disposal despite impaired GSIS. On Western diet, they showed comparable plasma TC and HDL-C, but lower LDL-C, higher plasma glucose, and normal glucose disposal despite impaired GSIS. B. Males: On normal and Western diets, KO mice showed lower plasma TC, HDL-C, and LDL-C, similarly elevated plasma glucose, glucose intolerance, and impaired GSIS. C. Both: KO mice on either diet showed pancreatic islet dysmorphism, with larger, possibly immature secretory granules. CONCLUSIONS: Lower LDL-C and impaired GSIS are two major phenotypes in aged PCSK9-deficient C57BL/6 mice. These phenotypes are modulated by gender and diet.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".