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KCNQ1基因变异的综合分析揭示了1型长QT综合征发病机制的分子机制。

Integrative analysis of KCNQ1 variants reveals molecular mechanisms of type 1 long QT syndrome pathogenesis.

作者信息

Brewer Kathryn R, Vanoye Carlos G, Huang Hui, Clowes Moster Katherine R, Desai Reshma R, Hayes James B, Burnette Dylan T, George Alfred L, Sanders Charles R

机构信息

Department of Biochemistry, Vanderbilt University, Nashville, TN 37240.

Center for Structural Biology, Vanderbilt University, Nashville, TN 37240.

出版信息

Proc Natl Acad Sci U S A. 2025 Feb 25;122(8):e2412971122. doi: 10.1073/pnas.2412971122. Epub 2025 Feb 19.

Abstract

Loss-of-function (LOF) pathogenic variants in encoding a cardiac potassium channel predispose to sudden cardiac death in type 1 congenital long QT syndrome (LQT1). To determine the spectrum of molecular mechanisms responsible for this life-threatening condition, we used an integrative approach to determine the biophysical, functional, and trafficking properties of 61 KCNQ1 variants distributed throughout all domains of the channel. Impaired trafficking to the plasma membrane was the most common cause of LOF across all channel domains, often but not always coinciding with protein instability. However, many LOF variants, particularly in transmembrane domains, trafficked normally, but when coexpressed with KCNE1 exhibited impaired conductance, altered voltage dependence, or abnormal gating kinetics, highlighting diverse pathogenic mechanisms. This indicates a need for personalized treatment approaches for LQT1. Use of our data to benchmark variant pathogenicity prediction methods demonstrated that prediction accuracy depends on the exact mechanism of pathogenicity associated with a given variant.

摘要

编码心脏钾通道的功能丧失(LOF)致病性变异易导致1型先天性长QT综合征(LQT1)患者发生心源性猝死。为了确定导致这种危及生命状况的分子机制谱,我们采用综合方法来确定分布在通道所有结构域的61种KCNQ1变异体的生物物理、功能和转运特性。转运至质膜受损是所有通道结构域中LOF的最常见原因,通常但并非总是与蛋白质不稳定性同时出现。然而,许多LOF变异体,尤其是跨膜结构域中的变异体,转运正常,但与KCNE1共表达时表现出电导受损、电压依赖性改变或门控动力学异常,突出了多种致病机制。这表明需要针对LQT1采取个性化治疗方法。利用我们的数据对变异体致病性预测方法进行基准测试表明,预测准确性取决于与给定变异体相关的致病性的确切机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d8/11873829/f1af23d38ad4/pnas.2412971122fig01.jpg

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