Survey of Cardiovascular Pathology in Wild Urban <i>Rattus norvegicus</i> and <i>Rattus rattus</i>
Bibliographic record
Abstract
Norway (Rattus norvegicus) and black rats (Rattus rattus) are common commensal pests, yet little is known about the ecology of wild rats, including their natural diseases. We describe microscopic cardiovascular pathology in a subset of a sample of 725 wild urban rats. Changes observed in the pulmonary blood vessels (n = 199) included arteriolar medial hypertrophy (20.1%, n = 40) and blood vessel mineralization (19.1%, n = 38). Microscopic changes in the heart (n = 200) included myocarditis (33.5%, n = 67), fibrosis (6.0%, n = 12), mineralization (9.5%, n = 19), myocardial degeneration (22.0%, n = 44), and right ventricular hypertrophy (4.5%, n = 9). Rats with myocarditis, fibrosis, or myocardial degeneration were grouped into a composite variable: cardiomyopathy. Statistical analysis showed that the odds of being affected by cardiomyopathy were greater in male rats (odds ratio [OR] = 2.49; 95% confidence interval [CI] = 1.12-5.55) and heavier rats (OR = 1.14; 95% CI = 1.09-1.20). The odds of pulmonary arteriolar medial hypertrophy was greater in sexually mature rats (OR = 2.35; 95% CI = 0.75-7.36), while the odds of pulmonary vessel mineralization were greater in heavier rats (OR = 1.07; 95% CI = 1.03-1.11) and in black rats (OR = 5.35; 95% CI = 1.62-17.69) compared to Norway rats. To our knowledge, this is the first detailed description of pathology in the cardiovascular system of wild rats and demonstrates that cardiovascular disease is common. The impact of these lesions on individual and population health remains to be investigated.
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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 | 0.001 | 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 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".