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Record W4409073984 · doi:10.26443/msurj.v1i1.222

Assessment of Heart Laterality Defects in Zebrafish to Study Variants of Uncertain Significance in Primary Ciliary Dyskinesia

2025· article· en· W4409073984 on OpenAlexaff
Divya Kakkar, Zachary W. Nurcombe, Lina Mougharbel, Thomas M. Kitzler

Bibliographic record

VenueMcGill Science Undergraduate Research Journal · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsPrimary ciliary dyskinesiaLateralityZebrafishDyskinesiaCiliumClinical significanceMedicineNeuroscienceInternal medicineBiologyAnatomyCardiologyGeneticsBronchiectasisParkinson's diseaseGeneDisease

Abstract

fetched live from OpenAlex

Primary ciliary dyskinesia (PCD) is an autosomal recessive orphan disease (OMIM#244400) characterized by motile ciliary dysfunction. These hairlike organelles are responsible for the mucociliary clearance of the lungs, and varying degrees of infections in the upper respiratory tract—including the inner ear, nasal passage, and lungs—are common in affected children present with PCD. Moreover, ciliary function is critical for embryonic development, and defects in cilia can lead to situs anomalies, which are sometimes associated with congenital heart disease. To date, more than 50 genes have been implicated in the etiology of PCD, each affecting different parts of the motile ciliary apparatus. Testing via multi- or single-gene panels is recommended for confirmation of diagnosis, which enables timely treatment initiation and familial risk counselling. Unfortunately, for a significant proportion of children with clinical features consistent with PCD, a molecular diagnosis cannot be established. For many of these children, genetic testing returns a variant of uncertain significance (VUS) in a known PCD gene. Hence, there is a pressing need to develop strategies to validate unresolved PCD variants for their pathogenicity. The overall aim of this project is to resolve VUSs in children with suspected but genetically unconfirmed PCD by use of zebrafish (Danio rerio). As a key PCD gene in humans, DNAAF1 has a dnaaf1 homolog in zebrafish, making this model highly relevant for studying human PCD phenotypes. By employing gene knock-down technology (antisense morpholino oligonucleotides; MO), we established and characterized PCD-specific developmental readouts for the zebrafish gene dnaaf1, which affect different aspects of motile ciliary ultrastructure. We observed an increase in ventral body curvature and hydrocephalus in embryos with dnaaf1-MO, with 38% of dnaaf1-MO knockdown embryos showing heart-laterality defects. These phenotypic outcomes not only provide a concrete framework for assessing PCD-related developmental defects in zebrafish but also offer a platform for validating VUSs in human PCD genes. By performing co-injection experiments with patient-derived VUSs and examining the resulting phenotypic alterations, we can directly link specific genetic variants to observable PCD-like traits, offering a robust methodology for determining the pathogenicity of previously uncharacterized variants. This approach aims to enhance the accuracy of genetic diagnoses in PCD and provide new insights into its molecular mechanisms.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.041
GPT teacher head0.412
Teacher spread0.371 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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