Evidence map›Paper›PMID 40679980›Full record

ArticlePloS one2025

3D finite element models reveal regional fatty infiltration modulates tibialis anterior force generating capacity in FSHD.

Allison McCrady, Seth Friedman, Leo Wang, Dennis Shaw, Rabi Tawil, Jeffery Statland, Stephen Tapscott, Silvia Blemker

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Allison McCradyDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.
Seth FriedmanCenter for Respiratory Biology and Therapeutics, Seattle Children's, Seattle, Washington, United States of America.
Leo WangDepartment of Neurology, University of Washington, Seattle, Washington, United States of America.
Dennis ShawCenter for Clinical and Translational Research, Seattle Children's, Seattle, Washington, United States of America.
Rabi TawilDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, United States of America.
Jeffery StatlandDepartment of Neurology, University of Kansas Medical Center, Kansas City, Kansas, United States of America.
Stephen TapscottDepartment of Neurology, University of Washington, Seattle, Washington, United States of America.
Silvia BlemkerDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.ORCID https://orcid.org/0000-0002-2019-1153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Facioscapulohumeral muscular dystrophy (FSHD) is a progressive neuromuscular disorder characterized by muscle damage, fibro-fatty infiltration, and ultimately weakness. The tibialis anterior (TA), very often involved relatively early in FSHD, is a primary dorsiflexor and important for ambulation. Recent work using magnetic resonance imaging to quantify fat infiltration in the TA volume observed a steep decline in force generation after fat reached ~20% in volume. Additional imaging studies have identified regional fat infiltration patterns that may contribute to the non-linear relationship between fat volume and muscle strength due to the distribution of fat within the muscle structure. The goals of this study were to 1) develop a pipeline for creating subject-specific models of the TA that include fat infiltration patterns measured from MRI and predict force generation, 2) compare models created using this pipeline with clinical measures of muscle strength, and 3) use the models to investigate the impact of regional fat distribution on muscle force generation. Twelve subject-specific models were created, and the model-predicted forces strongly correlate to clinical measures of strength in the same subjects (manual muscle testing (MMT): r = 0.75, and quantitative muscle testing (QMT): r = 0.54). The models showed fat amount accounts for 48% and muscle volume accounts for 74% of the variation in force. To investigate the impact of fat distribution, we developed eight pseudo maps to systematically vary fat location and amount in all subject-specific geometries. The models revealed that fat location modulates force generation, with the middle region involvement having the greatest impact in reducing force. This work highlights the need to characterize and understand the impact of intra-muscular fat distributions in neuromuscular diseases.

Indexed as

Adipose TissueMuscle, SkeletalMuscular Dystrophy, FacioscapulohumeralAdultFemaleFinite Element AnalysisHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedMuscle Strength

Identifiers

PMID40679980
PMCPMC12273932

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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.