Bibliographic record
Abstract
PURPOSE OF REVIEW: The greatest risk factor for kidney stone formation is increased urinary calcium excretion. Most filtered calcium is reabsorbed from the proximal tubule and the thick ascending limb (TAL) of Henle's loop via a paracellular pathway. Claudins are tight junction proteins that confer the permeability properties of an epithelium. We review the contribution of renal claudins to nephron calcium permeability and how perturbations in these pathways cause alterations in tubular calcium transport, hypercalciuria, nephrocalcinosis, or nephrolithiasis. RECENT FINDINGS: Claudin-16 and Claudin-19 form a complex with claudin-3 enabling divalent cation permeability in the TAL. Claudin-14 interacts with claudin-16 to attenuate calcium permeability through this pore. Intronic mutations in claudin-14 increase expression causing hypercalciuria and kidney stones. A different type of TAL tight junction pore is composed of claudin-10b, which does not preferentially permeate calcium. Deletion of claudin-10b results in increased expression of the claudin-16/claudin-19 complex expressed in the medullary TAL and nephrocalcinosis. SUMMARY: Alterations to claudins expressed in the TAL tight junction greatly affects calcium homeostasis as highlighted by point mutations in claudin-16 or claudin-19 causing FHHNC or gain of function mutations in claudin-14 causing kidney stones.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".