Loss of tissue-type plasminogen activator causes multiple developmental anomalies
Bibliographic record
Abstract
Abstract Hydrocephalus and Dandy–Walker malformation are amongst the most common congenital brain anomalies. We identified three consanguineous families with both obstructive hydrocephalus and Dandy–Walker malformation. To understand the molecular basis of these anomalies, we conducted genome-wide sequencing in these families. We identified three homozygous truncating variants in the PLAT gene in the four affected family members. All of them showed tetraventricular hydrocephalus. In two individuals, a membrane at the inferior aspect of the fourth ventricle was likely the cause of their hydrocephalus. Three cases exhibited Dandy–Walker malformation, whereas the two oldest individuals displayed intellectual disability. PLAT encodes the tissue-type plasminogen activator, a serine protease whose main function is to cleave the proenzyme plasminogen to produce active plasmin. Interestingly, plasminogen deficiency has also been shown to cause obstructive hydrocephalus and Dandy–Walker malformation, suggesting that loss of PLAT causes these defects by disrupting plasmin production. In summary, we describe a recessive disorder characterized by obstructive hydrocephalus, Dandy–Walker malformation and intellectual disability in individuals with loss-of-function variants in PLAT. This discovery further strengthens the involvement of the plasminogen pathway in the pathogenesis of these developmental disorders.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".