Evidence map›Paper›PMID 28516454›Full record

ArticleThe Journal of physiology2017

A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal-induced arrhythmias.

Pei-Chi Yang, Laura L Perissinotti, Fernando López-Redondo, Yibo Wang, Kevin R DeMarco, Mao-Tsuen Jeng, Igor Vorobyov, Robert D Harvey, Junko Kurokawa, Sergei Y Noskov and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Phase 2 Re-Entry Without IJACC. Clinical electrophysiology · 2023
    Trial
  4. Review
  5. Sex-specific virtual population for the prediction and assessment of arrhythmia risk.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
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  19. Mutation-Specific Differences in Kv7.1 (International journal of molecular sciences · 2022
    Review
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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

11 authors at 4 institutions in 3 countries.

Pei-Chi YangDepartment of Pharmacology, School of Medicine, University of California, Davis, CA, USA.
Laura L PerissinottiCentre for Molecular Simulation, Department of Biological Sciences, University of Calgary, Alberta, Canada.
Fernando López-RedondoDepartment of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University.
Yibo WangCentre for Molecular Simulation, Department of Biological Sciences, University of Calgary, Alberta, Canada.
Kevin R DeMarcoDepartment of Pharmacology, School of Medicine, University of California, Davis, CA, USA.
Mao-Tsuen JengDepartment of Pharmacology, School of Medicine, University of California, Davis, CA, USA.
Igor VorobyovDepartment of Pharmacology, School of Medicine, University of California, Davis, CA, USA.
Robert D HarveyDepartment of Pharmacology, University of Nevada, Reno, NV, USA.
Junko KurokawaDepartment of Bio-informational Pharmacology, Medical Research Institute, Tokyo Medical and Dental University.
Sergei Y NoskovCentre for Molecular Simulation, Department of Biological Sciences, University of Calgary, Alberta, Canada.
Colleen E ClancyDepartment of Pharmacology, School of Medicine, University of California, Davis, CA, USA.ORCID 0000-0001-6849-4885
University of California, Davis · USUniversity of Calgary · CATokyo Medical and Dental University · JPUniversity of Nevada, Reno · US

Funding

In silico Safety PharmacologyR01HL128537 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CLANCY, COLLEEN E, SANTANA, LUIS F · 2016 to 2024
$5.7M
Predictive multiscale in silico cardio-pharmacologyU01HL126273 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CLANCY, COLLEEN E · 2015 to 2019
$3.8M
NHLBI NIH HHS R01 HL128537NHLBI NIH HHS U01 HL126273
6 · The paper itself

Abstract

key pointsThis study represents a first step toward predicting mechanisms of sex-based arrhythmias that may lead to important developments in risk stratification and may inform future drug design and screening. We undertook simulations to reveal the conditions (i.e. pacing, drugs, sympathetic stimulation) required for triggering and sustaining reentrant arrhythmias. Using the recently solved cryo-EM structure for the Eag-family channel as a template, we revealed potential interactions of oestrogen with the pore loop hERG mutation (G604S). Molecular models suggest that oestrogen and dofetilide blockade can concur simultaneously in the hERG channel pore. ABSTRACT: Female sex is a risk factor for inherited and acquired long-QT associated torsade de pointes (TdP) arrhythmias, and sympathetic discharge is a major factor in triggering TdP in female long-QT syndrome patients. We used a combined experimental and computational approach to predict 'the perfect storm' of hormone concentration, I

Indexed as

Models, BiologicalAdrenergic beta-AgonistsAnimalsAnti-Arrhythmia AgentsArousalArrhythmias, CardiacEstradiolEther-A-Go-Go Potassium ChannelsFemaleGuinea PigsIsoproterenolMaleMolecular Docking SimulationMyocytes, CardiacPhenethylaminesSex CharacteristicsAdrenergic beta-AgonistsAnti-Arrhythmia AgentsdofetilideEstradiolEther-A-Go-Go Potassium ChannelsIsoproterenolPhenethylaminesSulfonamidesarrhythmiascomputational modeldofetilidehERG mutationlong-QTsex-differencesTdP

Identifiers

PMID28516454
PMCPMC5509858
OpenAlexW2615431503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.