Abstract 1507: Disruption of KCNH2 Trafficking May Contribute to Severe Clinical Phenotype of Trafficking Deficient Long-QT Type-1 Mutation KCNQ1-T587M
Bibliographic record
Abstract
Background: The trafficking deficient long QT syndrome (LQTS)-associated KCNQ1 mutation T587M has previously been associated with a severe clinical phenotype that was not explained by biophysical characteristics of the mutation per se . Objective: We have previously shown significant interactions between KCNQ1 and KCNH2 and speculated that T587M-KCNQ1 might affect this interaction. We therefore compared the effects of KCNQ1 and T587M-KCNQ1 on KCNH2 trafficking and function. Methods/Results: While heterologous co-expression of wildtype (WT) KCNQ1 and KCNH2 in CHO cells increased KCNH2 current (H2+Q1, Fig. A , *P<0.05) in comparison to KCNH2 expressed alone (H2), co-transfection of KCNH2 with T587M-KCNQ1 failed to increase I KCNH2 . Immunoblots of specific plasma membrane preparations (Fig. B ) and confocal microscopy indicated increased KCNH2 membrane localization in KCNQ1 co-transfected cells, while total KCNH2 expression remained unaffected. These results indicated a chaperone effect as the potential underlying mechanism. Furthermore, effective co-immunoprecipitation of WT channels occurred. T587M-KCNQ1 also co-precipitated with KCNH2, but the LQTS mutant was retained perinuclearly (Fig. C ) and additionally failed to increase membrane KCNH2 expression (Fig. B ), abolishing the WT KCNQ1 chaperone function. Conclusions: Trafficking-deficient T587M-KCNQ1 lacks the KCNH2 chaperone function that occurs with WT KCNQ1, limiting KCNH2 membrane localization and potentially explaining the malignant LQTS phenotype. Consideration of KCNQ1-KCNH2 interactions may be important for understanding mutation-specific clinical variability in LQTS presentations.
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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 | 0.000 | 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) | 0.000 | 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".