Enhanced expression of salusin-β contributes to progression of atherosclerosis in LDL receptor deficient mice
Bibliographic record
Abstract
Atherosclerosis is an important underlying pathology of cardiovascular diseases. The aim of this study was to observe the expression of salusin-β, a new vasoactive peptide, in vascular tissues of low-density lipoprotein receptor deficient (LDLR(-/-)) mice, and to evaluate the effect of salusin-β on the development of atherosclerosis in LDLR(-/-) mice. Six-week-old, male LDLR(-/-) mice were subcutaneously injected with salusin-β or the vehicle, once a day for 12 weeks. The expressions of salusin-β in both mRNA and peptide levels were determined by reverse transcription - polymerase chain reaction, Western blot, and immunohistochemistry. Atherosclerotic lesions were analyzed by staining with hematoxylin and eosin or oil red O. Our results showed that expression of salusin-β in mRNA and salusin-β peptide levels were enhanced in LDLR(-/-) mice. Subcutaneous injection of salusin-β significantly aggravated the atherosclerotic lesions, and increased lipid deposits in the arteries of LDLR(-/-) mice. Moreover, salusin-β significantly increased the serum level of low-density lipoprotein cholesterol, but not total cholesterol, triglycerides, or high-density lipoprotein cholesterol. These results suggest that the enhanced expression of salusin-β contributes to progression of atherosclerosis in LDLR(-/-) mice by up-regulating the serum low-density lipoprotein cholesterol level. This study provides a potential therapeutic target for the prevention and treatment of atherosclerosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".