Incidental Finding: Urine Alzheimer-Associated Neuronal Thread Protein (AD7c-NTP) and Serum Vitamin D25
Bibliographic record
Abstract
BACKGROUND: National and international experts have been attempting to find diagnostic tools for the early identification of symptoms to facilitate early identification and intervention of the disease. OBJECTIVE: Detection of urine Alzheimer-associated neuronal thread protein (AD7c-NTP) and serum 25-hydroxyvitamin D (25(OH)D) in the diagnosis of Alzheimer's disease (AD). METHODS: Subjects aged >50 years who underwent a physical examination at the Taihu Sanatorium of Jiangsu Province, had no clinical evidence of AD-related issues, and had normal Mini-Mental State Exam and Montreal Cognitive Assessment scores were enrolled in the present study. There were 35 males and 15 females, who were aged 51-91 years. Urine AD7c-NTP levels and serum 25(OH)D concentrations were measured. RESULTS: The Pearson correlation analysis revealed that the urine AD7c-NTP levels in these subjects were negatively correlated with the serum 25(OH)D concentrations (r = -0.460, p < 0.001). CONCLUSION: Combined with previous studies, it was considered that cognitive function might be the only link for the correlation between AD7c-NTP and 25(OH)D. This finding might provide a starting point to investigate the potential value of the interaction between urine AD7c-NTP and serum 25(OH)D in chronic diseases. Further large-scale studies are needed to validate the results of the present study.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".