Evidence map›Paper›PMID 34841674›Full record

ArticleClinical and translational medicine2021

A standardised hERG phenotyping pipeline to evaluate KCNH2 genetic variant pathogenicity.

Barbara Oliveira-Mendes, Sylvain Feliciangeli, Mélissa Ménard, Frank Chatelain, Malak Alameh, Jérôme Montnach, Sébastien Nicolas, Béatrice Ollivier, Julien Barc, Isabelle Baró and 7 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. SPARC: a structural pathogenicity algorithm for risk classification of hERG variants.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Mutation-Specific Differences in Kv7.1 (International journal of molecular sciences · 2022
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 1 country.

Barbara Oliveira-Mendesl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.ORCID 0000-0002-2269-5750
Sylvain FeliciangeliLabex ICST, Université Côte d'Azur, INSERM, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France.
Mélissa Ménardl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.
Frank ChatelainLabex ICST, Université Côte d'Azur, INSERM, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France.
Malak Alamehl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.
Jérôme Montnachl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.
Sébastien Nicolasl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.
Béatrice Ollivierl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.
Julien Barcl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.
Isabelle Baról'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.
Jean-Jacques Schottl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.
Vincent ProbstCHU Nantes, l'Institut du Thorax, INSERM, CNRS, UNIV Nantes, Nantes, France.
Florence KyndtCHU Nantes, l'Institut du Thorax, INSERM, CNRS, UNIV Nantes, Nantes, France.
Isabelle DenjoyService de Cardiologie et CNMR Maladies Cardiaques Héréditaires Rares, Hôpital Bichat, Paris, France.
Florian LesageLabex ICST, Université Côte d'Azur, INSERM, Centre National de la Recherche Scientifique, Institut de Pharmacologie Moléculaire et Cellulaire, Valbonne, France.
Gildas Loussouarnl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.ORCID 0000-0001-8007-5931
Michel De Waardl'Institut du Thorax, Inserm UMR 1087/CNRS UMR 6291, Nantes, France.ORCID 0000-0002-2782-9615
Centre National de la Recherche Scientifique · FRInserm · FRHôpital Bichat-Claude-Bernard · FR

Funding

Agence Nationale de la Recherche ANR-11-LABX-0015Agence Nationale de la Recherche ANR-21-CE17-0010-CarDiagConseil Régional des Pays de la Loire 2016-11092/11093European Regional Development Fund 2017/FEDER/PL0014592Fédération Française de Cardiologie : Grands projets - 2019Fondation Leducq: 'Equipement de recherche et plateformes technologiques'
6 · The paper itself

Abstract

BACKGROUND AND

aimsMutations in KCNH2 cause long or short QT syndromes (LQTS or SQTS) predisposing to life-threatening arrhythmias. Over 1000 hERG variants have been described by clinicians, but most remain to be characterised. The objective is to standardise and accelerate the phenotyping process to contribute to clinician diagnosis and patient counselling. In silico evaluation was also included to characterise the structural impact of the variants.

methodsWe selected 11 variants from known LQTS patients and two variants for which diagnosis was problematic. Using the Gibson assembly strategy, we efficiently introduced mutations in hERG cDNA despite GC-rich sequences. A pH-sensitive fluorescent tag was fused to hERG for efficient evaluation of channel trafficking. An optimised 35-s patch-clamp protocol was developed to evaluate hERG channel activity in transfected cells. R software was used to speed up analyses.

resultsIn the present work, we observed a good correlation between cell surface expression, assessed by the pH-sensitive tag, and current densities. Also, we showed that the new biophysical protocol allows a significant gain of time in recording ion channel properties and provides extensive information on WT and variant channel biophysical parameters, that can all be recapitulated in a single parameter defined herein as the repolarisation power. The impacts of the variants on channel structure were also reported where structural information was available. These three readouts (trafficking, repolarisation power and structural impact) define three pathogenicity indexes that may help clinical diagnosis.

conclusionsFast-track characterisation of KCNH2 genetic variants shows its relevance to discriminate mutants that affect hERG channel activity from variants with undetectable effects. It also helped the diagnosis of two new variants. This information is meant to fill a patient database, as a basis for personalised medicine. The next steps will be to further accelerate the process using an automated patch-clamp system.

Indexed as

Action PotentialsArrhythmias, CardiacERG1 Potassium ChannelHumansLong QT SyndromeTranscriptional Regulator ERGVirulenceERG1 Potassium ChannelERG protein, humanKCNH2 protein, humanTranscriptional Regulator ERGarrhythmiasdiagnostic testinggenetic varianthERG ion channelpathogenicityQT syndrometranslational medicine

Identifiers

PMID34841674
PMCPMC8609418
OpenAlexW3216303567

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.