Evidence map›Paper›PMID 26235057›Full record

ArticleJournal of molecular and cellular cardiology2016

There and back again: Iterating between population-based modeling and experiments reveals surprising regulation of calcium transients in rat cardiac myocytes.

Ryan A Devenyi, Eric A Sobie

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular and cellular cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Frontiers in physiology · 2021
    Article
  3. Frontiers in physiology · 2021
    Review
  4. Article
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  12. The CaeLife · 2018
    Article
  13. A privileged role for neuronal NaThe Journal of general physiology · 2018
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Frontiers in pharmacology · 2017
    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

2 authors at 1 institution in 1 country.

Ryan A DevenyiDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY, USA.
Eric A SobieDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, New York, NY, USA. Electronic address: eric.sobie@mssm.edu.
Icahn School of Medicine at Mount Sinai · US

Funding

MOUNT SINAI MEDICAL SCIENTIST TRAINING PROGRAMT32GM007280 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BARON, MARGARET H · 1985 to 2021
$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
Sarcoplasmic reticulum calcium leak and calcium instability in cardiac myocytesR01HL076230 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SOBIE, ERIC A · 2005 to 2013
$3.0M
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 R01 HL076230NHLBI NIH HHS R21 HL122564NIGMS NIH HHS T32 GM007280NIGMS NIH HHS T32 GM062754
6 · The paper itself

Abstract

While many ion channels and transporters involved in cardiac cellular physiology have been identified and described, the relative importance of each in determining emergent cellular behaviors remains unclear. Here we address this issue with a novel approach that combines population-based mathematical modeling with experimental tests to systematically quantify the relative contributions of different ion channels and transporters to the amplitude of the cellular Ca(2+) transient. Sensitivity analysis of a mathematical model of the rat ventricular cardiomyocyte quantified the response of cell behaviors to changes in the level of each ion channel and transporter, and experimental tests of these predictions were performed to validate or invalidate the predictions. The model analysis found that partial inhibition of the transient outward current in rat ventricular epicardial myocytes was predicted to have a greater impact on Ca(2+) transient amplitude than either: (1) inhibition of the same current in endocardial myocytes, or (2) comparable inhibition of the sarco/endoplasmic reticulum Ca(2+) ATPase (SERCA). Experimental tests confirmed the model predictions qualitatively but showed some quantitative disagreement. This guided us to recalibrate the model by adjusting the relative importance of several Ca(2+) fluxes, thereby improving the consistency with experimental data and producing a more predictive model. Analysis of human cardiomyocyte models suggests that the relative importance of outward currents to Ca(2+) transporters is generalizable to human atrial cardiomyocytes, but not ventricular cardiomyocytes. Overall, our novel approach of combining population-based mathematical modeling with experimental tests has yielded new insight into the relative importance of different determinants of cell behavior.

Indexed as

Calcium SignalingModels, BiologicalAction PotentialsAnimalsBiological TransportCalciumHeart AtriaHeart VentriclesHumansIon Channel GatingIon ChannelsMaleMyocytes, CardiacRatsSarcoplasmic Reticulum Calcium-Transporting ATPasesCalciumIon ChannelsSarcoplasmic Reticulum Calcium-Transporting ATPasesCardiac Ca(2+) transientsCardiac myocytesCardiac potassium channelsParameter sensitivity analysisSarcoplasmic/endoplasmic-reticulum Ca(2+) ATPase

Identifiers

PMID26235057
PMCPMC4733425
OpenAlexW1018973536

What OpenQuestion holds

Textmetadata
LicenceTDM
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.