Evidence mapPaperPMID 40534278Full record

ArticleAdvanced healthcare materials2025

Shear-Induced Patterning of Decellularized Skeletal Muscle Extracellular Matrix for Enhanced Myogenesis.

Yong How Tan, Cynthia A Alcazar-Daleo, Jonah G Holbrook, Krista M Habing, Owen J Lally, Joshua C Vanderpool, Theo Seah, Renee Liu, Rashaad Ahsan, Leanna Li and 1 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Yong How TanDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Cynthia A Alcazar-DaleoDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Jonah G HolbrookDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Krista M HabingDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Owen J LallyDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Joshua C VanderpoolDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Theo SeahDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Renee LiuDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Rashaad AhsanDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Leanna LiDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.
Karina H NakayamaDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, 97239, USA.ORCID https://orcid.org/0000-0001-5426-7446

Funding

Translational Oncology Research ProgramP30CA069533 · OREGON HEALTH & SCIENCE UNIVERSITY · 1997 to 2025
$10.7M
Proteomics CoreP30EY010572 · OREGON HEALTH & SCIENCE UNIVERSITY · 1995 to 2025
$4.4M
Regenerative engineering for complex extremity traumaR01AR080150 · NIAMS · OREGON HEALTH & SCIENCE UNIVERSITY · 2024 to 2025
$1.0M
NRSA Training CoreTL1TR002371 · OREGON HEALTH & SCIENCE UNIVERSITY · 2025 to 2025
$697k
Alliance for Regenerative Rehabilitation Research and TrainingMTF BiologicsNational Science Foundation Graduate Research Fellowship Program DGE-1937961NCATS NIH HHS TL1 TR002371NCI NIH HHS P30 CA069533NEI NIH HHS P30 EY010572NHLBI NIH HHS R00 HL136701NIAMS NIH HHS R01 AR080150NIAMS NIH HHS R01AR080150Oregon Health & Science University Foundation Collins Medical TrustOregon Health & Science University Seed GrantOregon Medical Research FoundationOregon Students Learn and Experience Research
6 · The paper itself

Abstract

Severe skeletal muscle injuries often result in permanent functional deficits, posing a major clinical challenge; biomaterials that support cellular activity and provide instructive microenvironmental cues offer a promising strategy to enhance regeneration. To address this challenge, a novel engineering strategy is introduced to fabricate and pattern decellularized extracellular matrix (dECM) scaffolds with tunable biophysical properties. By leveraging pH-driven fibrillogenesis, combined with shear-based extrusion, controlled fibril assembly within skeletal muscle dECM, with precise topographical patterning of scaffold nanoarchitecture is demonstrated. This dual-modulation produces patterned scaffolds with compositionally mimetic ECM that direct myogenic cell alignment, influence cell phenotype, and facilitate scaffold remodeling. In a preclinical mouse model of volumetric muscle loss, these engineered dECM scaffolds promote the formation of new myofibers and enhance muscle regeneration, largely through the facilitation of scaffold and tissue remodeling for better integration. This work highlights the versatility of ECM-derived materials tailored to mimic the native composition of skeletal muscle, while also imparting new biophysical features that optimize myogenesis. By supporting tissue remodeling and functional integration, fibrillar patterned dECM represents a robust platform for advancing musculoskeletal regenerative therapies following traumatic injuries.

Indexed as

Decellularized Extracellular MatrixExtracellular MatrixMuscle DevelopmentMuscle, SkeletalTissue ScaffoldsAnimalsMiceRegenerationTissue EngineeringDecellularized Extracellular Matrixbiomaterial patterningcollagensdecellularized extracellular matrixmyogenesisshear‐based extrusionskeletal muscle regenerationvolumetric muscle loss (VML)

Identifiers

PMID40534278
PMCPMC12324688

What Socratic 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 Socratic graph.