Expression of melanotransferrin isoforms in human serum: relevance to Alzheimer's disease
Bibliographic record
Abstract
Levels of soluble melanotransferrin in serum have been reported to be higher in patients with Alzheimer's disease than in control subjects. The present study investigated melanotransferrin in human body fluids in the light of these findings. To clarify the correlation between melanotransferrin and Alzheimer's disease, the melanotransferrin content was determined by non-reducing, denaturing SDS/PAGE and Western blotting. Under these conditions, serum melanotransferrin migrated at 79 and 82 kDa. Melanotransferrin antigenicity and the relative proportions of the two forms were very sensitive to factors that altered its conformation, including disulphide bridges, pH and bivalent cations. Serum melanotransferrin levels were not significantly different between control subjects and patients with Alzheimer's disease using whole serum, EDTA-supplemented serum or serum immunoglobulin-depleted by Protein G-Sepharose and enriched by affinity precipitation with the lectin from Asparagus pea. Glycosylated forms of serum melanotransferrin bound to Asparagus lectin manifested similar patterns on two-dimensional gel electrophoresis in samples from controls and Alzheimer's disease subjects. Melanotransferrin was also present in saliva and at a high level in urine, but contents were similar in controls and patients with Alzheimer's disease. Together, these results demonstrate that serum melanotransferrin exists in various conformations depending on the binding of bivalent cations or following post-translational modification. These data also indicate that human serum melanotransferrin levels are unchanged in subjects with Alzheimer's disease.
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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 | 0.000 | 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 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".