Evidence map›Paper›PMID 38291752›Full record

ArticleBiophysical journal2024

Modeling thick filament activation suggests a molecular basis for force depression.

Shuyue Liu, Chris Marang, Mike Woodward, Venus Joumaa, Tim Leonard, Brent Scott, Edward Debold, Walter Herzog, Sam Walcott

Open access · greenAbstract read
In one paragraph

Article in Biophysical journal, 2024. 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
2.8field-weighted citation impact, top 9% 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, 7 citations in OpenAlex.

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  3. In defense of Huxley.Biophysical journal · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Shuyue LiuFaculty of Kinesiology, University of Calgary, Calgary, Alberta.
Chris MarangDepartment of Kinesiology, University of Massachusetts, Amherst, Massachusetts.
Mike WoodwardDepartment of Kinesiology, University of Massachusetts, Amherst, Massachusetts.
Venus JoumaaFaculty of Kinesiology, University of Calgary, Calgary, Alberta.
Tim LeonardFaculty of Kinesiology, University of Calgary, Calgary, Alberta.
Brent ScottDepartment of Kinesiology, University of Massachusetts, Amherst, Massachusetts.
Edward DeboldDepartment of Kinesiology, University of Massachusetts, Amherst, Massachusetts.
Walter HerzogFaculty of Kinesiology, University of Calgary, Calgary, Alberta.
Sam WalcottMathematical Sciences, Bioinformatics and Computational Biology, Worcester Polytechnic Institute, Worcester, Massachusetts. Electronic address: swalcott@wpi.edu.
University of Calgary · CAUniversity of Massachusetts Amherst · USWorcester Polytechnic Institute · US

Funding

Collaborative Research: A Predictive Theory of Muscle Energy Consumption R01GM135923 · NIGMS · WORCESTER POLYTECHNIC INSTITUTE · PI WALCOTT, SAMUEL · 2019 to 2022
$1.5M
NIGMS NIH HHS R01 GM135923
6 · The paper itself

Abstract

Multiscale models aiming to connect muscle's molecular and cellular function have been difficult to develop, in part due to a lack of self-consistent multiscale data. To address this gap, we measured the force response from single, skinned rabbit psoas muscle fibers to ramp shortenings and step stretches performed on the plateau region of the force-length relationship. We isolated myosin from the same muscles and, under similar conditions, performed single-molecule and ensemble measurements of myosin's ATP-dependent interaction with actin using laser trapping and in vitro motility assays. We fit the fiber data by developing a partial differential equation model that includes thick filament activation, whereby an increase in force on the thick filament pulls myosin out of an inhibited state. The model also includes a series elastic element and a parallel elastic element. This parallel elastic element models a titin-actin interaction proposed to account for the increase in isometric force after stretch (residual force enhancement). By optimizing the model fit to a subset of our fiber measurements, we specified seven unknown parameters. The model then successfully predicted the remainder of our fiber measurements and also our molecular measurements from the laser trap and in vitro motility. The success of the model suggests that our multiscale data are self-consistent and can serve as a testbed for other multiscale models. Moreover, the model captures the decrease in isometric force observed in our muscle fibers after active shortening (force depression), suggesting a molecular mechanism for force depression, whereby a parallel elastic element combines with thick filament activation to decrease the number of cycling cross-bridges.

Indexed as

ActinsDepressionAnimalsMuscle ContractionMuscle Fibers, SkeletalMyosinsRabbitsSarcomeresActinsMyosins

Identifiers

PMID38291752
PMCPMC10938083
OpenAlexW4391431159

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.