Defective IFT57 underlies a novel cause of Bardet-Biedl syndrome
Bibliographic record
Abstract
A 29-year-old male presented with rod-cone degeneration leading to legal blindness, post-axial polydactyly, obesity, cognitive impairment, and fatty liver, features suggestive of a clinical diagnosis of Bardet-Biedl Syndrome (BBS). Following negative clinical genetic testing, genome analysis identified biallelic variants in IFT57: p.(Val397Glu) and p.(Lys225Asnfs*17). IFT57 is part of complex B of the intraflagellar transport (IFT) proteins, which is an adaptor to the anterograde transport of proteins, bringing cargo from the base of the primary cilia to the tip. Variants in IFT57 have not yet been associated with BBS or human retinal degeneration, but biallelic splicing variants were associated with a distinct ciliopathy: oral-facial-digital syndrome. Using patient-derived fibroblasts, IFT57-knockouts (KO) of RPE1, and mIMCD3 cells, we showed that p.(Lys225Asnfs*17) is subjected to non-sense mediated decay, and that p.(Val397Glu) is the predominant variant which leads to cilia defects. Exogenous expression of the p.(Val397Glu) variant partially restored structural and functional primary cilia defects, and of the anterograde transport in Ift57-KO mIMCD3 cells but it did not rescue primary cilia in retinal IFT57-KO-RPE1 cells. The cell autonomous effect, likely explains the retinal dystrophy in our proband with BBS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".