Chelation therapy in the JCR:LA-cp rat: experimental assessment of a putative antiatherosclerotic treatment.
Bibliographic record
Abstract
OBJECTIVE: To test the efficacy of chelation therapy, an alternative medical treatment, as an antiatherosclerotic procedure, using an animal model of insulin resistance and vascular disease. DESIGN: A prospective animal experiment with procedures modelled on human chelation treatments. SUBJECTS: The JCR:LA-cp rat, a strain that, if homozygous for the autosomal recessive cp gene, becomes obese and insulin resistant, with marked hyperinsulinemia and hypertriglyceridemia, and is unique in the spontaneous development of atherosclerosis and ischemic myocardial lesions. EXPERIMENTAL PROTOCOL: Eight-month-old, obese, male JCR:LA-cp rats were fitted with indwelling venous cannulae and infused over 4 weeks with ethylenediaminetetraacetic acid (EDTA) 5 days a week at a daily dose of 40 mg/kg body weight. At the end of the treatment period, samples were taken for assay of blood parameters and for mineral content of bone. The rats were sacrificed and perfusion-fixed for scanning electron microscopy of the aortic arch. RESULTS: Plasma cholesterol concentrations were not changed by the EDTA treatment. In contrast, plasma triglyceride concentrations were raised significantly (74%, p < 0.05). Lean control rats showed minimal abnormality of the aortic arch, whereas the obese control rats had raised intimal lesions, frequent adherent macrophages and endothelial damage. The frequency of these vascular abnormalities in the EDTA-treated rats was not different from that seen in the obese controls. The bone contents of calcium and magnesium were not significantly reduced. CONCLUSIONS: Chelation therapy using intravenous EDTA has no beneficial effects on the arterial lesions in the atherosclerotic JCR:LA-cp rat. The increase in plasma triglyceride concentrations would be grounds for concern in human patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".