Evidence map›Paper›PMID 38874526›Full record

ArticleTissue engineering. Part A2025

Impact of Passaging Primary Skeletal Muscle Cell Isolates on the Engineering of Skeletal Muscle.

Olga M Wroblewski, Christopher S Kennedy, Emmanuel E Vega-Soto, Celeste E Forester, Eileen Y Su, Matthew H Nguyen, Paul S Cederna, Lisa M Larkin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tissue engineering. Part A, 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.

Olga M WroblewskiDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-4219-6043
Christopher S KennedyDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.
Emmanuel E Vega-SotoDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.
Celeste E ForesterDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Eileen Y SuDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.
Matthew H NguyenDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-4846-2058
Paul S CedernaDepartment of Plastic Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Lisa M LarkinDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.

Funding

Tissue Engineering and RegenerationT32DE007057 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID H. KOHN · 1985 to 2026
$17.3M
NIDCR NIH HHS T32 DE007057
6 · The paper itself

Abstract

Volumetric muscle loss (VML) is a clinical state that results in impaired skeletal muscle function. Engineered skeletal muscle can serve as a treatment for VML. Currently, large biopsies are required to achieve the cells necessary for the fabrication of engineered muscle, leading to donor-site morbidity. Amplification of cell numbers using cell passaging may increase the usefulness of a single muscle biopsy for engineering muscle tissue. In this study, we evaluated the impact of passaging cells obtained from donor muscle tissue by analyzing characteristics of

Indexed as

Cell SeparationMuscle, SkeletalTissue EngineeringAdultCell ProliferationCells, CulturedFemaleHumansMaleMiddle AgedMuscle Contractionhuman muscle-derived progenitor cellssatellite cellsserial passagingsubcultivationtranslational bioengineeringvolumetric muscle loss

Identifiers

PMID38874526
PMCPMC13179038

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.