Elements in autopsy liver tissue samples from Greenlandic Inuit and Danes. IV. Copper measured by X-ray fluorescence spectrometry
Bibliographic record
Abstract
Objective: To measure the content of copper (Cu) in liver tissue samples from Greenlandic Inuit and compare the results with those obtained in Caucasian Danes. Materials and methods: Normal liver tissue samples were obtained at autopsy from 50 Inuit (27 men, 23 women) with a median age of 61 years (range 23 - 83) and from 74 Danes (44 men, 30 women) with a median age of 60 years (range 15 - 87). Total liver copper content was measured by X-ray fluorescence spectrometry. Results: The content of copper given as median and 5 - 95 percentile was in Inuit 0.2982 mmol/kg dry liver (0.1810 -0.6531), and in Danes 0.3777 mmol/kg dry liver (0.1889 - 0.7550) (p = 0.02). This difference was due to a higher median liver copper content in Danish men compared with Danish women (p = 0.04), Inuit men (p = 0.005) and Inuit women (p = 0.05), and was based solely on the 3 highest liver copper values in Danish men. Inuit displayed no gender difference concerning liver copper content. There was no correlation between liver copper content and age either in Inuit or in Danes. In Inuit, the median hepatic copper index (liver copper content divided by age) was 0.0045 in men and 0.0066 in women (p = 0. 14). There was an inverse correlation between hepatic copper index and age in the entire Inuit series (r s = -0.63, p < 0.0001). In Danes, the median hepatic copper index was 0.0082 in men and 0.0046 in women (p = 0.005). There was an inverse correlation between hepatic copper index and age in the entire Danish series (r s = -0.76, p < 0.0001). Conclusion: There is no evidence to suggest that the prevalence of copper deficiency or copper overload in adults differ in Inuit and Danes. Inuit have a hepatic copper content, which is similar to that found in Caucasian Danes and other populations from the Western societies.
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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) | 0.001 | 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".