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Record W4414763141 · doi:10.1139/cjpp-2025-0177

Lysine acetylation of aquaporin-3 does not improve lithium-induced nephrogenic diabetes insipidus

2025· article· en· W4414763141 on OpenAlexvenueno aff
Nha Huynh, Hung Nguyen, Kelly A. Hyndman

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2025
Typearticle
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNIH Office of the Director
KeywordsPolyuriaAcetylationReabsorptionUrineNephrogenic diabetes insipidusLysineDiabetes insipidus

Abstract

fetched live from OpenAlex

Aquaporin-3 (AQP3) is expressed in the basolateral membrane of the renal principal cell, contributing to vasopressin-mediated water reabsorption and urine concentration. We reported that post-translational acetylation of lysine 282 of AQP3 promotes water permeability. In this study, we hypothesized that AQP3 acetylation may improve polyuria in a mouse model of lithium-induced nephrogenic diabetes insipidus (Li-NDI). Wild type, AQP3 acetylation (K282Q), and deacetylation (K282R) mimetic mice were fed a lithium-containing diet or a control diet for 14 days. Body masses and spot urines were collected overtime, while urine flow and osmolality, plasma osmolality, and kidneys were collected on day 14 of the diets. All Li-NDI mice had greater urine output and water intake compared to control fed mice, and unexpectedly, this was exacerbated in female Li-NDI AQP3-acetylation and AQP3-deacetylation mice. After 14 days of lithium diet, acetylated AQP3 was almost undetectable in the kidneys of WT mice, and AQP3 localization in acetylated and deacetylated mice was minimal. In the setting of LI-NDI, the significant loss of AQP3 was not prevented in acetylated-AQP3 mice and in female mice mutation of K282 resulted in a worsened Li-NDI phenotype, suggesting that this lysine is critical for promoting sex-specific AQP3-water permeability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.270
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and PharmacologySame topicElectrolyte and hormonal disordersFrench-language works237,207