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Investigating the Urinary Salt Losing Phenotype in R607H and L919X Mutant Mice with Distal Renal Tubular Acidosis

2024· article· en· W4398175045 on OpenAlexaffabout
Priyanka Mungara, K. MacNaughton, Emmanuelle Cordat

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhenotypeMutantUrinary systemAcidosisDistal renal tubular acidosisInternal medicineEndocrinologyChemistryMedicineSalt (chemistry)BiologyPhysiologyBiochemistryGene

Abstract

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Introduction: The renal collecting duct consists of two cell types: principal and intercalated cells (ICs, alpha- and beta-type). These cells play a crucial role in regulating fluid, electrolyte, and acid-base homeostasis. Specifically, alpha-ICs promote secretion of protons into the urine through an apical proton ATPase while enabling the reabsorption of bicarbonate into the blood via the basolateral protein, kidney anion exchanger 1 (kAE1). Genetic mutations that impact IC cell function can lead to a condition called distal renal tubular acidosis (dRTA). Patients with dRTA typically exhibit alkaline urine, metabolic acidosis, electrolyte imbalances, and urinary ion loss. Study Objective and Hypothesis: Some dRTA patients continue to exhibit impaired conservation of sodium, despite sustained correction of their acidosis. The mechanisms that lead to this impairment need further investigation. Our lab has two dRTA kAE1 knock in (KI) mouse models, L919X (LX) and R607H (RH), that recapitulate classical metabolic acidosis seen in human patients. We hypothesize that these mice serve as an effective model for studying the cause behind the persistent urinary ion loss. The objectives of our work are to 1) determine whether our mouse models accurately reflect the urinary ion loss seen in dRTA patients, 2) comprehensively characterise the previously unpublished mouse line, kAE1 KI L919X, and 3) elucidate the mechanism behind this urinary salt loss. Methods: To test our hypothesis, we fed wild-type (WT) and dRTA mutant mice a low NaCl, acid, or combination (NaCl + acid) diet, to mirror conditions previously studied in human patients. We collected urine and plasma from the mice to measure ion concentrations and pH. We harvested and processed their kidney and gut tissues for analysis through qRT-PCR, immunoblot, and immunofluorescence to investigate acid-base and salt transports in the collecting duct and thick ascending limb. We aimed to identify potential alterations in these transporters between WT and KI mice. Results: On the low NaCl diet, there were little differences between WT and KI mice, either in comparison to each other or relative to their baseline conditions. However, the combination diet revealed a urinary salt losing phenotype in the RH and LX KI mice. These KI mice also displayed hypernatremia, hyperchloremia, and a failure to secrete potassium and to properly concentrate their urine. qRT-PCR analysis of whole kidney tissues revealed a surprising increase in the paracellular transport pathways, including claudin-4 and claudin-10b in the KI compared to WT. Initial immunoblots indicate a concordant upregulation and downregulation of protein expression that aligns with transcriptional changes seen at the mRNA level. Conclusion: Our current findings suggest a defective collecting duct function in the KI mice, thus validating our hypothesis. Additionally, there appears to be a compensatory mechanism at play in earlier nephron segments to rescue ion homeostasis. The results from this research may contribute to improved treatment options for patients that suffer with this severe disease. It will also deepen the understanding of the interconnected and complex functions of the nephron, aiding in treatment of other major conditions like hypertension or end-stage renal disease. Canadian Institutes of Health Research (CIHR), Canada Graduate Scholarship - Master's CIHR, and Kidney Foundation of Canada. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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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 score0.161
Threshold uncertainty score0.280

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 head0.007
GPT teacher head0.220
Teacher spread0.212 · 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".

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Citations0
Published2024
Admission routes2
Has abstractyes

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