Evidence map›Paper›PMID 23026728›Full record

ReviewJournal of molecular and cellular cardiology2013

Decoding myocardial Ca²⁺ signals across multiple spatial scales: a role for sensitivity analysis.

Young-Seon Lee, Ona Z Liu, Eric A Sobie

Abstract readReview
In one paragraph

Review in Journal of molecular and cellular cardiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

3 authors.

Young-Seon LeePharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY, USA.
Ona Z Liu
Eric A Sobie

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
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
NHLBI NIH HHS R01 HL076230NIGMS NIH HHS P50 GM071558
6 · The paper itself

Abstract

Numerous studies have employed mathematical modeling to quantitatively understand release of Ca(2+) from the sarcoplasmic reticulum (SR) in the heart. Models have been used to investigate physiologically important phenomena such as triggering of SR Ca(2+) release by Ca(2+) entry across the cell membrane and spontaneous leak of Ca(2+) from the SR in quiescent heart cells. In this review we summarize studies that have modeled myocardial Ca(2+) at different spatial scales: the sub-cellular level, the cellular level, and the multicellular level. We discuss each category of models from the standpoint of parameter sensitivity analysis, a common simulation procedure that can generate quantitative, comprehensive predictions about how changes in conditions influence model output. We propose that this is a useful perspective for conceptualizing models, in part because a sensitivity analysis requires the investigator to define the relevant parameters and model outputs. This procedure therefore helps to illustrate the capabilities and limitations of each model. We further suggest that in future studies, sensitivity analyses will aid in simplifying complex models and in suggesting experiments to differentiate between competing models built with different assumptions. We conclude with a discussion of unresolved questions that are likely to be addressed over the next several years.

Indexed as

Calcium SignalingCalciumHumansModels, TheoreticalMyocardiumMyocytes, CardiacRyanodine Receptor Calcium Release ChannelSarcoplasmic ReticulumCalciumRyanodine Receptor Calcium Release Channel

Identifiers

PMID23026728
PMCPMC3746482

What OpenQuestion holds

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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.