Effects of Free Radicals on Coronary Artery
Bibliographic record
Abstract
Coronary arteries supply blood to the heart and hence the control of coronary tone is pivotal to human survival. Reactive oxygen species (ROS) in specified amounts play an important role in normal metabolic and signalling processes. However, excess ROS can cause severe cardiovascular damage. For example, NO is produced by endothelium as a signal for relaxation. However, in an inflammatory response, NO from endothelium or macrophages can combine with superoxide to produce more deleterious peroxynitrite. Excess ROS have been associated with loss of coronary artery pliability--loss of contraction in some instances and relaxation in others. Atherosclerosis may also be considered an inflammatory response that leads to artery blockage, coronary disease and ischaemia-reperfusion. ROS produce various types of damage to ion channels and pumps and this damage is associated with vascular diseases such as atherosclerosis and hypertension. Endothelium and smooth muscle in the coronary artery are also affected differently by individual ROS. In fact, endothelium may act to protect the underlying smooth muscle against ROS. This review will give an overview of this field.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".