Evidence map›Paper›PMID 32748106›Full record

ArticleAnnals of biomedical engineering2021

Computational Models Provide Insight into In Vivo Studies and Reveal the Complex Role of Fibrosis in mdx Muscle Regeneration.

Kelley M Virgilio, Brian K Jones, Emily Y Miller, Elnaz Ghajar-Rahimi, Kyle S Martin, Shayn M Peirce, Silvia S Blemker

Abstract read
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In one paragraph

Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

7 authors at 1 institution in 1 country.

Kelley M VirgilioUniversity of Virginia, Charlottesville, VA, USA.
Brian K JonesUniversity of Virginia, Charlottesville, VA, USA.
Emily Y MillerUniversity of Virginia, Charlottesville, VA, USA.
Elnaz Ghajar-RahimiUniversity of Virginia, Charlottesville, VA, USA.
Kyle S MartinUniversity of Virginia, Charlottesville, VA, USA.
Shayn M PeirceUniversity of Virginia, Charlottesville, VA, USA.
Silvia S BlemkerUniversity of Virginia, Charlottesville, VA, USA. ssb6n@virginia.edu.ORCID http://orcid.org/0000-0002-7821-2965
University of Virginia · US

Funding

Multiscale Modeling for Treatment Discovery in Duchenne Muscular DystrophyU01AR069393 · NIAMS · UNIVERSITY OF VIRGINIA · PI BLEMKER, SILVIA SALINAS, PEIRCE-COTTLER, SHAYN · 2016 to 2020
$2.5M
NIAMS NIH HHS U01 AR069393NIH HHS U01-AR-06393
6 · The paper itself

Abstract

Duchenne muscular dystrophy is a pro-fibrotic, muscle wasting disease. Reducing fibrosis is a potential therapeutic target; however, its effect on muscle regeneration is not fully understood. This study (1) used an agent-based model to predict the effect of increased fibrosis in mdx muscle on regeneration from injury, and (2) experimentally tested the resulting model-derived hypothesis. The model predicted that increasing the area fraction of fibrosis decreased regeneration 28 days post injury due to limited growth factor diffusion and impaired cell migration. WT, mdx, and TGFβ-treated mdx mice were used to test this experimentally. TGFβ injections increased the extracellular matrix (ECM) area fraction; however, the passive stiffness of the treated muscle, which was assumed to correlate with ECM protein density, decreased following injections, suggesting that ECM protein density was lower. Further, there was no cross-sectional area (CSA) difference during recovery between the groups. Additional simulations revealed that decreasing the ECM protein density resulted in no difference in CSA, similar to the experiment. These results suggest that increases in ECM area fraction alone are not sufficient to reduce the regenerative capacity of mdx muscle, and that fibrosis is a complex pathological condition requiring further understanding.

Indexed as

Models, BiologicalAnimalsDisease Models, AnimalExtracellular MatrixFibrosisMaleMiceMice, Inbred C57BLMice, Inbred mdxMuscle, SkeletalMuscular Dystrophy, DuchenneRegenerationTransforming Growth Factor betaTransforming Growth Factor betaAgent-based modelDuchenne muscular dystrophyFibrosisSkeletal muscle

Identifiers

PMID32748106
OpenAlexW3047067769

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.