Urinary Sodium Wasting and Disrupted Collecting Duct Function in Mice with dRTA-Causing <i>SLC4A1</i> Mutations
Bibliographic record
Abstract
Abstract Distal renal tubular acidosis (dRTA) results in metabolic acidosis due to impaired urinary acidification and can also result in an unexplained urinary sodium-wasting phenotype. Here, we report the generation and characterization of a novel dRTA mutant mouse line, Ae1 L919X knockin (KI). Homozygous L919X KI mice exhibit typical dRTA features including a reduced ability to acidify urine in response to an acid load. This renal acidification defect was associated with a reduced number of Ae1-positive type A intercalated cells. To assess whether these mice exhibit urinary sodium-wasting as seen in some dRTA patients, homozygous KI L919X and the previously described R607H KI mice were fed a salt-depleted acid diet. In line with human patients, both mouse strains exhibited urinary sodium loss. Additionally, we identified increased expression of tight junction proteins claudin-4 and -10b, suggesting a compensatory paracellular pathway in the loop of Henle. Consistent with data from human patients, L919X KI mice displayed a milder phenotype than R607H KI mice. Our findings reveal that both mouse strains are appropriate models for dRTA with a urinary salt-wasting phenotype and a compensatory up-regulation of the paracellular pathway in the ascending limb of the loop of Henle.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".