Mutation location and I  Ks regulation in the arrhythmic risk of long QT syndrome type 1: the importance of the KCNQ1 S6 region

European Heart Journal

10 September 2021
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ESC Journals ARRHYTHMIAS AND DEVICE THERAPY

Abstract

AbstractAims

Mutation type, location, dominant-negative I  Ks reduction, and possibly loss of cyclic adenosine monophosphate (cAMP)-dependent I  Ks stimulation via protein kinase A (PKA) influence the clinical severity of long QT syndrome type 1 (LQT1). Given the malignancy of KCNQ1-p.A341V, we assessed whether mutations neighbouring p.A341V in the S6 channel segment could also increase arrhythmic risk.

Methods and results

Clinical and genetic data were obtained from 1316 LQT1 patients [450 families, 166 unique KCNQ1 mutations, including 277 p.A341V-positive subjects, 139 patients with p.A341-neighbouring mutations (91 missense, 48 non-missense), and 900 other LQT1 subjects]. A first cardiac event represented the primary endpoint. S6 segment missense variant characteristics, particularly cAMP stimulation responses, were analysed by cellular electrophysiology. p.A341-neighbouring mutation carriers had a QTc shorter than p.A341V carriers (477 ± 33 vs. 490 ± 44 ms) but longer than the remaining LQT1 patient population (467 ± 41 ms) (P <0.05 for both). Similarly, the frequency of symptomatic subjects in the p.A341-neighbouring subgroup was intermediate between the other two groups (43% vs. 73% vs. 20%; P <0.001). These differences in clinical severity can be explained, for p.A341V vs. p.A341-neighbouring mutations, by the p.A341V-specific impairment of I  Ks regulation. The differences between the p.A341-neighbouring subgroup and the rest of LQT1 mutations may be explained by the functional importance of the S6 segment for channel activation.

Conclusion

KCNQ1 S6 segment mutations surrounding p.A341 increase arrhythmic risk. p.A341V-specific loss of PKA-dependent I  Ks enhancement correlates with its phenotypic severity. Cellular studies providing further insights into I  Ks-channel regulation and knowledge of structure-function relationships could improve risk stratification. These findings impact on clinical management.

Contributors

Silvia Castelletti
Silvia Castelletti

Author

Hospital Santa Maria della Misericordia Udine , Italy

Kristina H Haugaa
Kristina H Haugaa

Author

Oslo University Hospital Rikshospitalet Oslo , Norway

Peter J Schwartz
Peter J Schwartz

Author

IRCCS Istituto Auxologico Italiano Milan , Italy

Roel L H M G Spätjens
Roel L H M G Spätjens

Author

Cardiovascular Research Institute Maastricht (CARIM) Maastricht , Netherlands (The)

Paul G A Volders
Paul G A Volders

Author

Cardiovascular Research Institute Maastricht (CARIM) Maastricht , Netherlands (The)