ERYTHROCYTE DEFORMABILITY AS A BIOCHEMICAL INDICATOR OF ZINC STATUS
Bibliographic record
Abstract
It was hypothesized that zinc deficiency exerts an effect on RBC deformability through its influence on the plasma membrane and that this would form the basis for a biochemical indicator of zinc status. Weanling, male Sprague-Dawley rats were fed ad libitum modified AIN-93G diets containing 3 mg zinc/kg diet (-Zn; n=10) for six weeks. Control rats were pair-fed (+ZnPF; n=10) or fed ad libitum (+ZnAL; n=9) diets with 50 mg zinc/kg diet. The mean (±SEM) weight gain (g) for the three groups was - Zn=161.6 ± 8.7, +ZnPF=203.0 ± 12.8 and +ZnAL=346.5 ± 11.5. Zinc deficiency and depressed food intake significantly decreased plasma and tibia zinc concentration (P<0.05). Experimental treatments had small but statistically significant effects on some parts of the hematological profile. RBC deformability was measured on whole blood as a function of shear stress in the ektacytometer. Elongation index (EI), the ratio of length to width of the diffraction pattern of deforming cells, was. measured. As analyzed by one-factor ANOVA, maximum elongation index (Elmax), a measure of average deformability of the cell population, was not altered by zinc deficiency. The mean (±SEM) values of Elmax for the three groups were -Zn=0.55 ± 0.01, +ZnPF=0.56 ± 0.01 and +ZnAL=0.56±0.01. EI was plotted against shear stress and the initial slope of the curve, a measure of membrane deformability, was not changed by zinc deficiency. The mean (±SEM) values of slope for the three groups were -Zn=0.023± 0.002, +ZnPF =0.021 ± 0.001 and +ZnAL=0.051± 0.027. No effect of zinc deficiency was found for deformability of RBC suspensions heated at 48°C for 6 minutes. The results of this study suggest that RBC deformability can not be used as a functional indicator of zinc status.
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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 | 0.001 |
| 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".