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Record W4410236205 · doi:10.1002/ppul.71091

The Association of Neonatal Respiratory Distress With Ciliary Ultrastructure and Genotype in Primary Ciliary Dyskinesia

2025· article· en· W4410236205 on OpenAlexaff
Andrew T. Barber, Stephanie D. Davis, Thomas W. Ferkol, Adam J. Shapiro, Jeffrey J. Atkinson, Scott D. Sagel, Sharon Dell, Kenneth N. Olivier, Carlos Milla, Margaret Rosenfeld, Lang Li, Feng‐Chang Lin, Kelli M. Sullivan, Nicole A. Capps, Maimoona A. Zariwala, Michael R. Knowles, Margaret W. Leigh

Bibliographic record

VenuePediatric Pulmonology · 2025
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsBC Children's HospitalMontreal Children's Hospital
FundersNational Center for Advancing Translational SciencesNational Human Genome Research InstituteYale UniversityUniversity of North Carolina at Chapel HillNational Institutes of HealthNational Heart, Lung, and Blood InstituteGeorgia Clinical and Translational Science Alliance
KeywordsPrimary ciliary dyskinesiaUltrastructureGenotypeMedicineOdds ratioCiliumRespiratory distressDyneinPathologyBiologyInternal medicineGeneticsBronchiectasisSurgeryGeneLungMicrotubule

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the relationship between ciliary ultrastructure/genotype and prevalence of neonatal respiratory distress (NRD) in primary ciliary dyskinesia (PCD). STUDY DESIGN: This was a retrospective analysis from a multicenter, prospective study of children and adults with PCD. Participants were classified by ultrastructural defect associated with their diagnostic genetic variants: 1) outer dynein arm defect alone (ODA), 2) outer plus inner dynein arm defect (ODA/IDA), 3) inner dynein arm defect with microtubular disorganization (IDA/MTD), 4) DNAH11 (encodes ODA protein but has normal ultrastructure), and 5) normal/near-normal/other. The likelihood of NRD between ultrastructure groups or genotypes was evaluated by multivariate analysis using logistic regression, controlled for age, gender, race, and variant type. Similar analysis was performed within individual genotypes to assess association of NRD with the presence of 2 loss-of-function variants. RESULTS: Of the 455 participants analyzed, 305 (67.0%) reported NRD. The odds ratio for NRD in the DNAH11 group was significantly lower (OR: 0.35, 95% CI: 0.16-0.76) compared to NRD in the ODA group. Within the DNAH5 group, those with two loss-of-function variants were more likely to have NRD compared to those with possible residual function variants (OR: 3.06, 95% CI: 1.33-7). CONCLUSION: NRD is less common in those with DNAH11 variants, thus a high index of suspicion should remain for PCD in the absence of NRD. Variant type (loss-of-function vs. residual function) may explain phenotypic variability within individual PCD genes.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.003
GPT teacher head0.240
Teacher spread0.237 · 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 designObservational
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

Citations7
Published2025
Admission routes1
Has abstractyes

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