Defective cell adhesion function of solute transporter, SLC4A11, in endothelial corneal dystrophies
Bibliographic record
Abstract
Corneal endothelial cell (CEnC) loss is often associated with blinding endothelial corneal dystrophies: dominantly inherited, common (5%) Fuchs endothelial corneal dystrophy (FECD) and recessive, rare congenital hereditary endothelial dystrophy (CHED). Mutations of SLC4A11, an abundant corneal solute transporter, cause CHED and some cases of FECD. The link between defective SLC4A11 solute transport function and CEnC loss is, however, unclear. Cell adhesion assays using SLC4A11-transfected HEK293 cells and primary human CEnC revealed that SLC4A11 promotes adhesion to components of Descemet's membrane (DM), the basement membrane layer to which CEnC bind. An antibody against SLC4A11 extracellular loop 3 (EL3) suppressed cell adhesion, identifying EL3 as the DM-binding site. Earlier studies showed that some SLC4A11 mutations cause FECD and CHED by impairing solute transport activity or cell surface trafficking. Without affecting these functions, FECD-causing mutations in SLC4A11-EL3 compromised cell adhesion capacity. In an energy-minimized SLC4A11-EL3 three-dimensional model, these mutations cluster and are buried within the EL3 structure. A GST fusion protein of SLC4A11-EL3 interacts with principal DM protein, COL8A2, as identified by mass spectrometry. Engineered SLC4A11-EL3-containing protein, STIC (SLC4A11-EL3 Transmembrane-GPA Integrated Chimera), promotes cell adhesion in transfected HEK293 cells and primary human CEnC, confirming the cell adhesion role of EL3. Taken together, the data suggest that SLC4A11 directly binds DM to serve as a cell adhesion molecule (CAM). These data further suggest that cell adhesion defects contribute to FECD and CHED pathology. Observations with STIC point toward a new therapeutic direction in these diseases: replacement of lost cell adhesion capacity.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".