Impact of type 1 diabetes (T1D) on vitamin B6 metabolism
Bibliographic record
Abstract
B6‐metabolites were analyzed in plasma (P), erythrocytes (E) and urine (U) of 22 insulin‐treated T1D patients without renal complication and 27 healthy controls in early adulthood (30–40 yrs). Groups were comparable due to rigorous selection criteria, excluding women on oral contraceptives, obese, vegetarian, pregnant or lactating. T1D (averaging 21 yrs) was relatively well‐controlled according to HbA 1c . Kidney functions, assessed by U‐albumin/creatinine, did not differ between groups as well as U‐4‐pyridoxic acid (end‐metabolite), hemoglobin and serum albumin which were both adequate. P‐pyridoxal phosphate (PLP, indicator of B6‐nutritional status) was slightly below the cut‐off reference in T1D group. Its mean value and total B6‐aldehydes (PLP+PL) were not decreased significantly. Greater ( p <0.01) alkaline phosphatase (ALP) activity in T1D group increased PL slightly (NS), resulting in inferior ( p <0.05) P‐PLP/P‐PL ratio. ALP correlated strongly ( p <0.001) with HbA 1c . Elevated (NS) E‐PLP did not originate from pyridoxamine phosphate (unchanged), indicating no perturbation in B6‐dependent aminotransferase activity. Inferior ( p <0.01) P‐PLP/E‐PLP ratio revealed a change between the two blood compartments. E‐PLP was highly ( p <0.001) correlated with P‐PL. T1D impairs vitamin B6 metabolism through the elevation of ALP, dephosphorylating PLP to PL, the transfer form through cell membrane (P to E).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".