Lesions in Ryanodine Channels in Smooth Muscle Cells Exposed to Oxidized Low Density Lipoprotein
Bibliographic record
Abstract
The purpose of the present investigation was to investigate the subcellular basis responsible for the loss of vasoreactivity in atherosclerotic vessels. We have chosen to focus on the potential of oxidized low density lipoprotein (oxLDL), an important atherogenic agent, to alter sarcoplasmic reticulum (SR) structure and function. Vascular smooth muscle cells (VSMCs) were exposed for 1 to 6 days to low concentrations of minimally oxidized LDL. ATP was used to probe SR function in VSMCs. ATP can increase [Ca(2+)](i) in control VSMCs because of a release of Ca(2+) from the SR. However, after chronic exposure to oxLDL, cells lose their ability to increase [Ca(2+)](i) in response to ATP. These cells also exhibit a depressed rise in [Ca(2+)](i) after exposure to ryanodine. These effects were associated with a decreased immunoreactivity for the ryanodine-sensitive Ca(2+)-release channels in the SR of oxLDL-treated cells. Immunohistochemical analysis of aortic sections obtained from rabbits fed a cholesterol-supplemented diet revealed a significant decrease in the immunoreactivity for ryanodine channels in the plaque and in the medial layer underlying the plaque. In summary, our data identify oxLDL as a component within the atherosclerotic milieu capable of inducing a decrease in smooth muscle ryanodine channel density. This alteration is associated with a significant defect in the ability of the SR within the smooth muscle cell to regulate Ca(2+). These lesions may contribute to the altered vasoreactivity exhibited by atherosclerotic vessels.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".