Copper-To-Zinc Ratio as an Inflammatory Marker in Patients with Sickle Cell Disease
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Bibliographic record
Abstract
Sickle cell disease (SCD) is an inherited disorder and a major health challenge in Nigeria. Micronutrient deficiencies often associated with the disorder may cause inflammation and abnormal metabolism in the body. The copper-to-zinc ratio is a more relevant diagnostic measure than the concentration of either metal alone in clinical practice. This study seeks to evaluate serum levels of c-reactive protein (CRP), copper, zinc and the copper-to-zinc ratio, and to correlate the latter with CRP in adult subjects with SCD. Serum copper, zinc, CRP and plasma fibrinogen were assayed in 100 confirmed SCD patients in steady clinical state and 100 age- and sex-matched subjects with normal hemoglobin. Serum copper and zinc were assayed by the colorimetric method using reagents supplied by Centronic, Germany, while CRP and fibrinogen were assayed using reagents supplied by Sigma (St. Louis, MO, USA) and Anogen (Ontario, Canada), respectively. The copper-to-zinc ratio was calculated from serum levels of copper and zinc. The measured parameters were compared between the groups using the Students t-test, and the Pearson correlation coefficient was used to relate CRP with the other parameters. Serum copper, CRP, fibrinogen and the copper-to-zinc ratio were significantly higher (p < 0.001), while zinc level was lower in SCD patients than in controls. Serum CRP concentration correlated with copper (r = 0.10; p < 0.02), zinc (r = −0.199; p < 0.05) and the copper-to-zinc ratio (r = 0.312; p < 0.002), but the correlation between CRP and fibrinogen was not significant. Inflammation may modulate copper and zinc homeostasis, and the copper-to-zinc ratio may be used as a marker of nutritional deficiency and inflammation in SCD patients.
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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 | 0.000 |
| 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 it