Evidence map›Paper›PMID 22745159›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Modulation of hERG potassium channel gating normalizes action potential duration prolonged by dysfunctional KCNQ1 potassium channel.

Hongkang Zhang, Beiyan Zou, Haibo Yu, Alessandra Moretti, Xiaoying Wang, Wei Yan, Joseph J Babcock, Milena Bellin, Owen B McManus, Gordon Tomaselli and 3 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Pharmacological activation of the hERG KJournal of arrhythmia · 2022
    Review
  7. The ERG1 KFrontiers in molecular neuroscience · 2022
    Review
  8. Comparison of the Simulated Response of ThreeFrontiers in pharmacology · 2021
    Article
  9. Cardiac hERG KHandbook of experimental pharmacology · 2021
    Article
  10. LUF7244, an allosteric modulator/activator of KBritish journal of pharmacology · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Modulation of KBritish journal of pharmacology · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 6 institutions in 3 countries.

Hongkang ZhangDepartment of Neuroscience, High Throughput Biology Center, Johns Hopkins University, Baltimore, MD 21205, USA.
Beiyan Zou
Haibo Yu
Alessandra Moretti
Xiaoying Wang
Wei Yan
Joseph J Babcock
Milena Bellin
Owen B McManus
Gordon Tomaselli
Fajun Nan
Karl-Ludwig Laugwitz
Min Li
High Throughput Biology (United States) · USJohns Hopkins University · USTechnical University of Munich · DEKlinikum rechts der Isar · DENational Center for Drug Screening · CNShanghai Institute of Materia Medica · CN

Funding

Johns Hopkins Ion Channel CenterU54MH084691 · NIMH · JOHNS HOPKINS UNIVERSITY · PI LI, MIN · 2008 to 2012
$13.9M
Molecular regulation of calcium-activated (BK) potassium channelsR01GM078579 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LI, MIN · 2007 to 2010
$1.2M
NIGMS NIH HHS GM078579NIGMS NIH HHS R01 GM078579NIMH NIH HHS MH084691NIMH NIH HHS U54 MH084691
6 · The paper itself

Abstract

Long QT syndrome (LQTS) is a genetic disease characterized by a prolonged QT interval in an electrocardiogram (ECG), leading to higher risk of sudden cardiac death. Among the 12 identified genes causal to heritable LQTS, ∼90% of affected individuals harbor mutations in either KCNQ1 or human ether-a-go-go related genes (hERG), which encode two repolarizing potassium currents known as I(Ks) and I(Kr). The ability to quantitatively assess contributions of different current components is therefore important for investigating disease phenotypes and testing effectiveness of pharmacological modulation. Here we report a quantitative analysis by simulating cardiac action potentials of cultured human cardiomyocytes to match the experimental waveforms of both healthy control and LQT syndrome type 1 (LQT1) action potentials. The quantitative evaluation suggests that elevation of I(Kr) by reducing voltage sensitivity of inactivation, not via slowing of deactivation, could more effectively restore normal QT duration if I(Ks) is reduced. Using a unique specific chemical activator for I(Kr) that has a primary effect of causing a right shift of V(1/2) for inactivation, we then examined the duration changes of autonomous action potentials from differentiated human cardiomyocytes. Indeed, this activator causes dose-dependent shortening of the action potential durations and is able to normalize action potentials of cells of patients with LQT1. In contrast, an I(Kr) chemical activator of primary effects in slowing channel deactivation was not effective in modulating action potential durations. Our studies provide both the theoretical basis and experimental support for compensatory normalization of action potential duration by a pharmacological agent.

Indexed as

Models, BiologicalAcetamidesAction PotentialsAnimalsCells, CulturedCHO CellsComputer SimulationCricetinaeCricetulusDNA PrimersEther-A-Go-Go Potassium ChannelsHumansIon Channel GatingKCNQ Potassium ChannelsLong QT SyndromeMyocytes, Cardiac2-(4-benzoylphenoxy)-N-(pyridin-3-yl)acetamideAcetamidesDNA PrimersEther-A-Go-Go Potassium ChannelsKCNQ Potassium ChannelsPyridinesSodium Channel Blockers

Identifiers

PMID22745159
PMCPMC3406814
OpenAlexW1974946304

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.