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TRPM4 non-selective cation channel variants in long QT syndrome

Overview of attention for article published in BMC Medical Genomics, March 2017
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Title
TRPM4 non-selective cation channel variants in long QT syndrome
Published in
BMC Medical Genomics, March 2017
DOI 10.1186/s12881-017-0397-4
Pubmed ID
Authors

Thomas Hof, Hui Liu, Laurent Sallé, Jean-Jacques Schott, Corinne Ducreux, Gilles Millat, Philippe Chevalier, Vincent Probst, Romain Guinamard, Patrice Bouvagnet

Abstract

Long QT syndrome (LQTS) is an inherited arrhythmic disorder characterized by prolongation of the QT interval, a risk of syncope, and sudden death. There are already a number of causal genes in LQTS, but not all LQTS patients have an identified mutation, which suggests LQTS unknown genes. A cohort of 178 LQTS patients, with no mutations in the 3 major LQTS genes (KCNQ1, KCNH2, and SCN5A), was screened for mutations in the transient potential melastatin 4 gene (TRPM4). Four TRPM4 variants (2.2% of the cohort) were found to change highly conserved amino-acids and were either very rare or absent from control populations. Therefore, these four TRPM4 variants were predicted to be disease causing. Furthermore, no mutations were found in the DNA of these TRPM4 variant carriers in any of the 13 major long QT syndrome genes. Two of these variants were further studied by electrophysiology (p.Val441Met and p.Arg499Pro). Both variants showed a classical TRPM4 outward rectifying current, but the current was reduced by 61 and 90% respectively, compared to wild type TRPM4 current. This study supports the view that TRPM4 could account for a small percentage of LQTS patients. TRPM4 contribution to the QT interval might be multifactorial by modulating whole cell current but also, as shown in Trpm4(-/-) mice, by modulating cardiomyocyte proliferation. TRPM4 enlarges the subgroup of LQT genes (KCNJ2 in Andersen syndrome and CACNA1C in Timothy syndrome) known to increase the QT interval through a more complex pleiotropic effect than merely action potential alteration.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 29%
Student > Ph. D. Student 7 23%
Other 2 6%
Student > Bachelor 2 6%
Professor 2 6%
Other 3 10%
Unknown 6 19%
Readers by discipline Count As %
Medicine and Dentistry 7 23%
Biochemistry, Genetics and Molecular Biology 4 13%
Neuroscience 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Agricultural and Biological Sciences 2 6%
Other 3 10%
Unknown 9 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#296,067
of 337,405 outputs
Outputs of similar age from BMC Medical Genomics
#29
of 35 outputs
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