Evidence map›Paper›PMID 25681584›Full record

ArticleJournal of molecular and cellular cardiology2016

Dynamics of cross-bridge cycling, ATP hydrolysis, force generation, and deformation in cardiac muscle.

Shivendra G Tewari, Scott M Bugenhagen, Bradley M Palmer, Daniel A Beard

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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  4. A perspective on the future of heart failure research.Journal of molecular and cellular cardiology plus · 2026
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  9. Multiscale modeling shows how 2'-deoxy-ATP rescues ventricular function in heart failure.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  12. Article
  13. Article
  14. Effects of altered cellular ultrastructure on energy metabolism in diabetic cardiomyopathy: anPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. LncRNAs in cardiac hypertrophy: From basic science to clinical application.Journal of cellular and molecular medicine · 2020
    Review
  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

4 authors at 3 institutions in 1 country.

Shivendra G TewariDepartment of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA.
Scott M BugenhagenDepartment of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Bradley M PalmerDepartment of Molecular Physiology and Biophysics, University of Vermont, Burlington, VT 05405, USA.
Daniel A BeardDepartment of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: beardda@med.umich.edu.
University of Michigan–Ann Arbor · USMedical College of Wisconsin · USUniversity of Vermont · US

Funding

Ventricular and Cardiac Fiber Characterization and Integration CoreP01HL059408 · NHLBI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI WARSHAW, DAVID M · 1999 to 2014
$26.4M
The Virtual Physiological Rat ProjectP50GM094503 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2011 to 2015
$11.6M
Integrated Modeling of Cardiac Metabolism and TransportR01HL072011 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2004 to 2016
$4.0M
Analyzing the Cardiac Power Grid: Adaptive responses to fluctuating local demandU01HL122199 · NHLBI · UNIVERSITY OF WASHINGTON · PI BEARD, DANIEL A, DASH, RANJAN K · 2015 to 2019
$3.3M
NHLBI NIH HHS P01 HL059408NHLBI NIH HHS R01 HL072011NHLBI NIH HHS U01 HL122199NIGMS NIH HHS P50 GM094503
6 · The paper itself

Abstract

Despite extensive study over the past six decades the coupling of chemical reaction and mechanical processes in muscle dynamics is not well understood. We lack a theoretical description of how chemical processes (metabolite binding, ATP hydrolysis) influence and are influenced by mechanical processes (deformation and force generation). To address this need, a mathematical model of the muscle cross-bridge (XB) cycle based on Huxley's sliding filament theory is developed that explicitly accounts for the chemical transformation events and the influence of strain on state transitions. The model is identified based on elastic and viscous moduli data from mouse and rat myocardial strips over a range of perturbation frequencies, and MgATP and inorganic phosphate (Pi) concentrations. Simulations of the identified model reproduce the observed effects of MgATP and MgADP on the rate of force development. Furthermore, simulations reveal that the rate of force re-development measured in slack-restretch experiments is not directly proportional to the rate of XB cycling. For these experiments, the model predicts that the observed increase in the rate of force generation with increased Pi concentration is due to inhibition of cycle turnover by Pi. Finally, the model captures the observed phenomena of force yielding suggesting that it is a result of rapid detachment of stretched attached myosin heads.

Indexed as

Models, BiologicalAdenosine DiphosphateAdenosine TriphosphateAlgorithmsAnimalsCatsHeartKineticsMiceMyocardial ContractionMyocardiumRatsSarcomeresAdenosine DiphosphateAdenosine TriphosphateCardiac muscleCross-bridge cycleForce generationMetabolitesSinusoidal perturbation analysisViscoelasticity

Identifiers

PMID25681584
PMCPMC4532654
OpenAlexW2080214145

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.