Hemosiderosis in St. Kitts African green monkeys ( <i>Chlorocebus sabaeus</i> )
Bibliographic record
Abstract
Hepatic hemosiderosis has not been systematically studied in African green monkeys ( Chlorocebus sabaeus ). We aimed to determine the prevalence of histologic hepatic hemosiderosis in this species, demographic predictors of its presence and severity, and the quantitative relationship between histological grade and hepatic iron concentration. We evaluated liver samples of 155 African green monkeys from a research colony in St. Kitts (24 juveniles, 89 adults, 42 geriatrics) using histology (hematoxylin and eosin, Perls Prussian blue) to semiquantitatively grade (0–4) hemosiderin deposits. Quantitative hepatic iron was measured via coupled plasma mass spectrometry in 146 samples. Overall, 63.9% (99/155; P < .001 vs 50%) exhibited histological hemosiderin deposits. The grade distribution was 52 (33.5%) grade 0, 29 (18.7%) grade 1, 23 (14.8%) grade 2, 25 (16.1%) grade 3, and 26 (16.8%) grade 4. Wild-caught origin was protective (odds ratio (OR) = 0.10, 95% confidence interval (CI) = 0.04–0.29, P < .001), while geriatric age was associated with iron accumulation (OR = 8.92, 95% CI = 2.06–10.61, P = .003). Ordinal regression confirmed lower odds of higher grades in wild-caught (OR = 0.095, 95% CI = 0.047–0.193, P < .001) and higher odds of higher grades in adult monkeys (OR = 4.2, 95% CI = 1.43–12.35, P = .009). Trend tests (z = 9.81, P < .0001) and Spearman’s ρ = 0.82 ( P < .0001) confirmed a strong association between pathology and iron burden. Recommended iron requirements may be excessive for certain life stages in this species. Colony-born and younger animals are at highest risk, while adult males show protection. Histological grading correlates strongly with quantitative iron measures, validating its use as a semiquantitative surrogate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".