Diabetic Vasculopathy and the Lectin-Like Oxidized Low-Density Lipoprotein Receptor-1 (LOX-1)
Bibliographic record
Abstract
Type 2 diabetes is associated with an increased incidence of coronary heart disease and cardiovascular complications. One crucial step in the initiation and progression of atherosclerosis is the unregulated uptake of oxidized low-density lipoprotein (oxLDL) by vascular wall components through scavenger receptors. Identification of lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1) as the major receptor for oxLDL in endothelial cells has provided a new clue to the mechanisms involved in oxLDL accumulation in the vessel wall. This receptor, by facilitating the uptake of oxLDL, induces endothelial dysfunction and mediates numerous oxLDL-induced proatherogenic effects. Besides endothelial cells, LOX-1 is also expressed by smooth muscle cells and macrophages. In these cells, LOX-1 may function as a scavenger receptor and promote foam cell formation. Notably, LOX-1 is induced by multiple stimuli relevant to atherogenesis and inflammation and is up-regulated in various proatherogenic conditions, including diabetes. As such, activation of vascular cells by oxLDL through LOX-1 may be relevant to the development and progression of human diabetic vasculopathy. This review summarizes recent advances related to the role of LOX-1 in atherosclerosis, its regulation by metabolic and inflammatory factors relevant to diabetes and the impact of these factors on LOX-1-mediated proatherogenic events linked to diabetic vasculopathy.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".