Evidence map›Paper›PMID 33158459›Full record

ArticleStem cell research & therapy2020

Skeletal muscle healing by M1-like macrophages produced by transient expression of exogenous GM-CSF.

Leonardo Martins, Camila Congentino Gallo, Tâmisa Seeko Bandeira Honda, Patrícia Terra Alves, Roberta Sessa Stilhano, Daniela Santoro Rosa, Timothy Jon Koh, Sang Won Han

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

38 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Regenerative Medicine: Advanced Therapy for Muscle Tissue Restoration.International journal of molecular sciences · 2026
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  12. Macrophage immunometabolism: emerging targets for regrowth in aging muscle.American journal of physiology. Endocrinology and metabolism · 2025
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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 at 3 institutions in 2 countries.

Leonardo MartinsInterdisciplinary Center for Gene Therapy, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
Camila Congentino GalloInterdisciplinary Center for Gene Therapy, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
Tâmisa Seeko Bandeira HondaInterdisciplinary Center for Gene Therapy, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
Patrícia Terra AlvesInterdisciplinary Center for Gene Therapy, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.
Roberta Sessa StilhanoDepartment of Physiological Sciences, Faculdade de Ciências Medicas da Santa Casa de São Paulo, São Paulo, Brazil.
Daniela Santoro RosaDepartment of Microbiology, Immunology and Parasitology, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, São Paulo, Brazil.
Timothy Jon KohDepartment of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, USA.
Sang Won HanInterdisciplinary Center for Gene Therapy, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil. sang.han@unifesp.br.ORCID 0000-0002-4953-7680
Universidade Federal de São Paulo · BRFaculdade de Ciências Médicas da Santa Casa de São Paulo · BRUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter traumatic skeletal muscle injury, muscle healing is often incomplete and produces extensive fibrosis. The sequence of M1 and M2 macrophage accumulation and the duration of each subtype in the injured area may help to direct the relative extent of fibrogenesis and myogenesis during healing. We hypothesized that increasing the number of M1 macrophages early after traumatic muscle injury would produce more cellular and molecular substrates for myogenesis and fewer substrates for fibrosis, leading to better muscle healing.

methodsTo test this hypothesis, we transfected skeletal muscle with a plasmid vector to transiently express GM-CSF shortly after injury to drive the polarization of macrophages towards the M1 subset. C57BL/6 mouse tibialis anterior (TA) muscles were injured by contusion and electroporated with uP-mGM, which is a plasmid vector that transiently expresses GM-CSF. Myogenesis, angiogenesis, and fibrosis were evaluated by histology, immunohistochemistry, and RT-qPCR; subpopulations of macrophages by flow cytometry; and muscle functioning by the maximum running speed on the treadmill and the recovery of muscle mass.

resultsMuscle injury increased the number of local M1-like macrophages and decreased the number of M2-like macrophages on day 4, and uP-mGM treatment enhanced this variation. uP-mGM treatment decreased TGF-β1 protein expression on day 4, and the Sirius Red-positive area decreased from 35.93 ± 15.45% (no treatment) to 2.9% ± 6.5% (p < 0.01) on day 30. uP-mGM electroporation also increased Hgf, Hif1α, and Mtor gene expression; arteriole density; and muscle fiber number during regeneration. The improvement in the quality of the muscle tissue after treatment with uP-mGM affected the increase in the TA muscle mass and the maximum running speed on a treadmill.

conclusionCollectively, our data show that increasing the number of M1-like macrophages immediately after traumatic muscle injury promotes muscle recovery with less fibrosis, and this can be achieved by the transient expression of GM-CSF.

Indexed as

Granulocyte-Macrophage Colony-Stimulating FactorMacrophagesAnimalsMiceMice, Inbred C57BLMuscle, SkeletalWound HealingGranulocyte-Macrophage Colony-Stimulating FactorArteriogenesisContusionFibrosisGM-CSFInjuryMacrophageMyogenesisSkeletal muscle

Identifiers

PMID33158459
PMCPMC7648431
OpenAlexW3095498005

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.