Evidence map›Paper›PMID 35767225›Full record

ArticleThe Journal of general physiology2022

Superfast excitation-contraction coupling in adult zebrafish skeletal muscle fibers.

Romane Idoux, Sandrine Bretaud, Christine Berthier, Florence Ruggiero, Vincent Jacquemond, Bruno Allard

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of general physiology, 2022. 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
0.7field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. A mechano- and heat-gated two-pore domain KProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Superfast fish show superfast coupling.The Journal of general physiology · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Romane IdouxInstitut de Physiopathologie et Génétique du Neurone et du Muscle (PGNM), Université de Lyon, Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique UMR 5261, INSERM U1315, Faculté de Médecine Rockefeller, Lyon, France.ORCID 0000-0002-7523-6582
Sandrine BretaudInstitut de Génomique Fonctionnelle de Lyon (IGFL), École normale supérieure de Lyon, Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique UMR 5242, Lyon, France.ORCID 0000-0002-1430-7359
Christine BerthierInstitut de Physiopathologie et Génétique du Neurone et du Muscle (PGNM), Université de Lyon, Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique UMR 5261, INSERM U1315, Faculté de Médecine Rockefeller, Lyon, France.ORCID 0000-0002-9608-643X
Florence RuggieroInstitut de Génomique Fonctionnelle de Lyon (IGFL), École normale supérieure de Lyon, Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique UMR 5242, Lyon, France.ORCID 0000-0003-2915-5359
Vincent JacquemondInstitut de Physiopathologie et Génétique du Neurone et du Muscle (PGNM), Université de Lyon, Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique UMR 5261, INSERM U1315, Faculté de Médecine Rockefeller, Lyon, France.ORCID 0000-0003-4944-270X
Bruno AllardInstitut de Physiopathologie et Génétique du Neurone et du Muscle (PGNM), Université de Lyon, Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique UMR 5261, INSERM U1315, Faculté de Médecine Rockefeller, Lyon, France.ORCID 0000-0002-7131-7828
Université Claude Bernard Lyon 1 · FR

Funding

Agence Nationale de la Recherche project FishandCol6Association Française contre les Myopathies project 4.1.1Centre National de la Recherche ScientifiqueFondation pour la Recherche Médicale project ECO201806006866Institut National de la Santé et de la Recherche Médicale
6 · The paper itself

Abstract

The zebrafish has emerged as a very relevant animal model for probing the pathophysiology of human skeletal muscle disorders. This vertebrate animal model displays a startle response characterized by high-frequency swimming activity powered by contraction of fast skeletal muscle fibers excited at extremely high frequencies, critical for escaping predators and capturing prey. Such intense muscle performance requires extremely fast properties of the contractile machinery but also of excitation-contraction coupling, the process by which an action potential spreading along the sarcolemma induces a change in configuration of the dihydropyridine receptors, resulting in intramembrane charge movements, which in turn triggers the release of Ca2+ from the sarcoplasmic reticulum. However, thus far, the fastest Ca2+ transients evoked by vertebrate muscle fibers has been described in muscles used to produce sounds, such as those in the toadfish swim bladder, but not in muscles used for locomotion. By performing intracellular Ca2+ measurements under voltage control in isolated fast skeletal muscle fibers from adult zebrafish and mouse, we demonstrate that fish fast muscle fibers display superfast kinetics of action potentials, intramembrane charge movements, and action potential-evoked Ca2+ transient, allowing fusion and fused sustained Ca2+ transients at frequencies of excitation much higher than in mouse fast skeletal muscle fibers and comparable to those recorded in muscles producing sounds. The present study is the first demonstration of superfast kinetics of excitation-contraction coupling in skeletal muscle allowing superfast locomotor behaviors in a vertebrate.

Indexed as

CalciumZebrafishAnimalsMiceMuscle ContractionMuscle Fibers, SkeletalMuscle, SkeletalSarcoplasmic ReticulumCalcium

Identifiers

PMID35767225
PMCPMC9247716
OpenAlexW4283702244

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.