A Novel Human Congenital Cataract Mutation in EPHA2 Kinase Domain (p.G668D) Alters Receptor Stability and Function
Bibliographic record
Abstract
Purpose: To identify the genetic defect in a four-generation Chinese family that causes autosomal dominant congenital posterior subcapsular cataracts, and to understand how this EPHA2 kinase domain mutation affects EPHA2 activity. Methods: Variants in 54 cataract-associated genes were screened by targeted next generation sequencing (NGS) and then validated by Sanger sequencing. EPHA2 wild-type cDNA was synthesized in vitro, and EPHA2 p.G668D mutant was constructed by PCR site-directed mutagenesis. Western blotting and fluorescence microscopy were used to analyze the expression level of protein and its subcellular localization, respectively. A wound-healing assay was performed to analyze changes to cell migration. Results: A novel heterozygous missense mutation was identified in the kinase domain of the EPHA2 gene (c.2003G>A, p.G668D). This is the third congenital cataract mutation being reported in this domain. Functional study revealed that the kinase domain mutation (p.G668D) decreased EphA2 protein level (P = 0.036) via a proteasome-dependent pathway, altered its subcellular localization of the EphA2 from cell-cell contacts to a diffuse perimembranous distribution, and changed the distribution of β-catenin as well. The expression of mutant EphA2 significantly promoted the migration of human lens epithelial cells (P = 0.002). Conclusions: Our study presented the evidence for a novel EPHA2 kinase domain mutation that causes congenital posterior subcapsular cataracts. The first functional study on an EPHA2 kinase domain mutation that causes a congenital cataract revealed that the G668D mutation destabilized the receptor, changed its subcellular localization, and altered the activation of EphA2 with its ligand ephrin. The mutant EphA2 resulted in a reduced inhibition of cell migration. As a consequence, the c.G668D mutation promoted cell migration and caused the formation of cataracts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".