The urinary proteome in Fanconi syndrome implies specificity in the reabsorption of proteins by renal proximal tubule cells
Bibliographic record
Abstract
Polypeptides present in the glomerular filtrate are almost completely reabsorbed in the first segment of the proximal tubule by receptor-mediated endocytosis; in renal Fanconi syndrome (FS), there is failure to reabsorb many of these polypeptides. We have compared the urinary proteomes in patients with Dent's disease (due to a CLC5 mutation), a form of FS, with normal subjects using three different proteomic methods. No differences in the levels of several plasma proteins were detected when standardized to total protein amounts. In contrast, several vitamin and prosthetic group carrier proteins were found in higher amounts in Dent's urine (with respect to total protein). Similarly, complement components, apolipoproteins, and some cytokines represented a larger proportion of the Dent's urinary proteome, suggesting that such proteins are reabsorbed more efficiently than other classes of proteins. Conversely, proteins of renal origin were found in proportionately higher amounts in normal urine. Thus the uptake of filtered vitamins, which are normally bound to their respective carrier proteins to prevent urinary losses, seems a key function of the proximal tubule; in addition, this nephron segment may also play a critical role in reabsorbing potentially cytotoxic polypeptides of plasma origin, preventing them from acting at more distal nephron sites.
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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 | 0.000 |
| 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".