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Record W4408073189 · doi:10.1016/j.isci.2025.112130

Pharmaceutical inhibition of the Chk2 kinase mitigates cone photoreceptor degeneration in an iPSC model of Bardet-Biedl syndrome

2025· article· en· W4408073189 on OpenAlexafffund
A Barabino, Alisar Katbe, Roy Hanna, Benjamin Freedman, Gilbert Bernier

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersNational Center for Advancing Translational SciencesNational Institute of Allergy and Infectious DiseasesNatural Sciences and Engineering Research Council of CanadaNational Institutes of HealthStem Cell NetworkFondation de l’Hôpital Maisonneuve-Rosemont
KeywordsBardet–Biedl syndromeDegeneration (medical)KinaseCone (formal languages)ChemistryMedicineBiochemistryOphthalmologyComputer sciencePhenotypeGene

Abstract

fetched live from OpenAlex

Bardet-Biedl syndrome (BBS) is a syndromic ciliopathy leading to progressive blindness starting in childhood, but the mechanism of photoreceptor degeneration remains unclear. The basal body of the photoreceptor primary cilium originates from the centrosome's mother centriole, and BBS-related proteins form a complex at basal body. Centrosomes also organize microtubules of the mitotic spindle. We show here that photoreceptors from Bbs10 −/− mouse pups present a DNA damage response (DDR) that becomes persistent and localizes to the basal body. In patient-derived induced pluripotent stem cells (iPSCs) carrying BBS10 mutations, BBS retinal progenitor cells (RPCs) present a DDR that correlates with activation of the mitotic spindle checkpoint. Pharmaceutical inhibition of the Chk2 kinase in BBS RPCs mitigates cell death and genomic instability and restores the phospho-proteome. Drug treatment of BBS retinal organoids improves tissue organization, cone survival, and outer segment maturation, thus opening a possible therapeutic avenue to delay photoreceptor degeneration in BBS.

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 score0.013
Threshold uncertainty score0.214

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 head0.015
GPT teacher head0.279
Teacher spread0.264 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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