GR.1 Different functional consequences result in different phenotypes in CLCN4-related developmental and epileptic encephalopathy
Bibliographic record
Abstract
Background: Variants in CLCN4 are implicated in neurodevelopmental disorder, X-linked intellectual disability, and epileptic encephalopathy. CLCN4 encodes ClC-4, which is hypothesized to play a role in ion homeostasis and intracellular trafficking. ClC-4 relies on its formation of heterodimers with ClC-3, which possesses signals for target organelles. Methods: Case-Series. Then, we performed heterologous expression, patch-clamp electrophysiology, confocal microscopy, and protein biochemistry experiments to characterize our patients’ ClC-4 variants. Results: All three male patients had developmental and epileptic encephalopathy. Patients #1 and #2 had normal-appearing brains on MRI and no dysmorphic features. Patient #3 had: microcephaly, microsomia, complete agenesis of the corpus-callosum; and, cerebellar and brainstem hypoplasia. Patient #1 had recurrent status epilepticus separated by months of seizure freedom, while Patient #2 and #3 had brief, daily seizures. The p.Gly342Arg variant impaired the heterodimerization capability of ClC-4. The p.Ile549Leu and p.Asp89Asn variants exhibited early transport-activation, with p.Asp89Asn favouring higher transport-activity of ClC-4. Conclusions: We extend the phenotypic spectrum of CLCN4 variants and demonstrate the pathological functional-consequences of three previously unclassified variants. The p.Gly342Arg variant lead to a loss-of-function phenotype; however, the p.Ile549Leu and p.Asp89Asn variants likely caused gain-of-function phenotypes. Targeted animal or induced pluripotent stem-cell models are needed to further understand epileptogenic mechanisms of CLCN4 variants.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".