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Record W4396999306 · doi:10.1681/asn.20203110s1507a

The Role of Claudin Variants in the Formation of Kidney Stones

2020· article· en· W4396999306 on OpenAlexaffabout
Yuan Zhuang, Jasmine El Andalousi, Sero Andonian, Bertrand J. Jean‐Claude, Aimee K. Ryan, Indra R. Gupta

Bibliographic record

VenueJournal of the American Society of Nephrology · 2020
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsClaudinKidneyMedicineBiologyInternal medicineCell biologyTight junction

Abstract

fetched live from OpenAlex

Background: Genetic risk factors contribute to the formation of calcium-based kidney stones. The majority of calcium is reabsorbed via paracellular transport through tight junctions along the human nephron epithelium where Claudin proteins are expressed. Claudins determine the selectivity and permeability of different nephron segments. Studies have shown that CLDN gene sequence variants are associated with kidney stones. I hypothesize that sequence variants in Claudin genes that regulate paracellular renal transport of calcium. will be associated with the formation of kidney stones. Methods: Patient DNA was analyzed by Fluidigm Next Generation Sequencing and confirmed by sanger sequencing. Rare variants (MAF<1%) were compared to the gnomAD database. In silico prediction software was used to predict the impact of the amino acid change. Human claudin variants were generated by site-directed mutagenesis and cloned into a mammalian expression vector, pEGFP. Immunofluorescence was performed on HEK293 cells that were transiently transfected with both variant and WT sequences. Results: Ninety adult patients (45 females, 45 males) with recurrent calcium-based kidney stones were recruited from one urologist’s kidney stone clinic. Seventy-two percent (65/90) of the patients self-defined as Canadian-European. Sixty-two percent (56/90) of the patients presented with the first kidney stone less than 40 years of age. Four novel heterozygous missense variants were identified in the following: CLDN11 S157F, CLDN16 K29E, CLDN17 A94V, and CLDN18 H212D. Nine rare variants include CLDN4 A82T, CLDN4 A113T, CLDN7 V55I, CLDN8 A94V, CLDN8 M97T, CLDN12 M98V, CLDN23 A90T, and CLDN24 V97I. CLDN4 A82T, CLDN8 A94V, CLDN11 S157F, and CLDN17 A94V are predicted to be deleterious. HEK293 cells were transiently transfected with CLDN4 A82T and the mutant protein was unable to localize to the tight junction, unlike the WT CLDN4 protein which did co-localize with ZO-1 by immunofluorescence as expected (n=3 independent experiments). Other claudin variants are under evaluation. Conclusions: The rare heterozygous variant, CLDN4 A82T is located at the second transmembrane domain and predicted to be deleterious. Functional analysis showed that CLDN4 A82T has an impact on the localization of the protein to the tight junction. Funding: Private Foundation Support

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score0.194

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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
Published2020
Admission routes2
Has abstractyes

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