Evidence map›Paper›PMID 27779762›Full record

ArticleThe Journal of physiology2017

Differential roles of two delayed rectifier potassium currents in regulation of ventricular action potential duration and arrhythmia susceptibility.

Ryan A Devenyi, Francis A Ortega, Willemijn Groenendaal, Trine Krogh-Madsen, David J Christini, Eric A Sobie

Open access · bronzeAbstract 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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 36 citations in OpenAlex.

  1. The electrophysiology of ventricular cell pairs.Pflugers Archiv : European journal of physiology · 2025
    Review
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  8. Prediction of arrhythmia susceptibility through mathematical modeling and machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Review
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  12. Calibration of ionic and cellular cardiac electrophysiology models.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    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

6 authors at 2 institutions in 2 countries.

Ryan A DevenyiDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Francis A OrtegaPhysiology, Biophysics, and Systems Biology Graduate Program, Weill Cornell Graduate School, New York, NY, USA.
Willemijn GroenendaalGreenberg Division of Cardiology, Weill Cornell Medical College, New York, NY, USA.
Trine Krogh-MadsenGreenberg Division of Cardiology, Weill Cornell Medical College, New York, NY, USA.
David J ChristiniPhysiology, Biophysics, and Systems Biology Graduate Program, Weill Cornell Graduate School, New York, NY, USA.
Eric A SobieDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-7327-8538
Cornell University · USIcahn School of Medicine at Mount Sinai · US

Funding

System Biology Center in New YorkP50GM071558 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI IYENGAR, SRINIVAS RAVI V · 2007 to 2017
$22.8M
Teaching biomedical and pharmacological trainees to produce FAIR data for AI & ML applicationsT32GM062754 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SCHLESSINGER, AVNER · 2001 to 2023
$6.2M
Real-time control system for biological experimentsR01EB016407 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2013 to 2016
$2.7M
Computational methods for mechanistic understanding of inter-sample variabilityR21HL122564 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHANIEL, CHRISTOPH, SOBIE, ERIC A · 2014 to 2015
$463k
NHLBI NIH HHS R21 HL122564NIBIB NIH HHS R01 EB016407NIGMS NIH HHS P50 GM071558NIGMS NIH HHS T32 GM062754
6 · The paper itself

Abstract

key pointsArrhythmias result from disruptions to cardiac electrical activity, although the factors that control cellular action potentials are incompletely understood. We combined mathematical modelling with experiments in heart cells from guinea pigs to determine how cellular electrical activity is regulated. A mismatch between modelling predictions and the experimental results allowed us to construct an improved, more predictive mathematical model. The balance between two particular potassium currents dictates how heart cells respond to perturbations and their susceptibility to arrhythmias. ABSTRACT: Imbalances of ionic currents can destabilize the cardiac action potential and potentially trigger lethal cardiac arrhythmias. In the present study, we combined mathematical modelling with information-rich dynamic clamp experiments to determine the regulation of action potential morphology in guinea pig ventricular myocytes. Parameter sensitivity analysis was used to predict how changes in ionic currents alter action potential duration, and these were tested experimentally using dynamic clamp, a technique that allows for multiple perturbations to be tested in each cell. Surprisingly, we found that a leading mathematical model, developed with traditional approaches, systematically underestimated experimental responses to dynamic clamp perturbations. We then re-parameterized the model using a genetic algorithm, which allowed us to estimate ionic current levels in each of the cells studied. This unbiased model adjustment consistently predicted an increase in the rapid delayed rectifier K

Indexed as

Action PotentialsAnimalsArrhythmias, CardiacGuinea PigsHeart VentriclesModels, BiologicalMyocytes, CardiacPotassium ChannelsVentricular Function, LeftPotassium Channelsion channelsmathematical modelpatch clamp

Identifiers

PMID27779762
PMCPMC5374112
OpenAlexW2538021067

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.