Evidence map›Paper›PMID 37725574›Full record

ArticleTissue engineering. Part A2024

Macrophage Mechano-Responsiveness Within Three-Dimensional Tissue Matrix upon Mechanotherapy-Associated Strains.

Parto Babaniamansour, Diego Jacho, Ashley Teow, Agustin Rabino, Rafael Garcia-Mata, Eda Yildirim-Ayan

Open access · greenAbstract read
In one paragraph

Article in Tissue engineering. Part A, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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, 11 citations in OpenAlex.

  1. The Role of Phagocytic Cells in the Achilles Tendon.International journal of molecular sciences · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Mechanome-Guided Strategies in Regenerative Rehabilitation.Current opinion in biomedical engineering · 2024
    Article
  6. Article
  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

6 authors at 1 institution in 1 country.

Parto BabaniamansourDepartment of Bioengineering and University of Toledo, Toledo, Ohio, USA.
Diego JachoDepartment of Bioengineering and University of Toledo, Toledo, Ohio, USA.ORCID 0000-0003-0201-3676
Ashley TeowDepartment of Bioengineering and University of Toledo, Toledo, Ohio, USA.
Agustin RabinoDepartment of Biological Sciences, University of Toledo, Toledo, Ohio, USA.ORCID 0000-0001-7630-6231
Rafael Garcia-MataDepartment of Biological Sciences, University of Toledo, Toledo, Ohio, USA.
Eda Yildirim-AyanDepartment of Bioengineering and University of Toledo, Toledo, Ohio, USA.ORCID 0000-0003-3275-167X
University of Toledo · US

Funding

Regulation of epithelial junctions and lumen morphogenesis by the Scribble/SGEF/Dlg1 complexR01GM136826 · NIGMS · UNIVERSITY OF TOLEDO · PI GARCIA-MATA, RAFAEL · 2020 to 2023
$1.5M
NIGMS NIH HHS R01 GM136826
6 · The paper itself

Abstract

Mechano-rehabilitation, also known as mechanotherapy, represents the forefront of noninvasive treatment for musculoskeletal (MSK) tissue disorders, encompassing conditions affecting tendons, cartilage, ligaments, and muscles. Recent emphasis has underscored the significance of macrophage presence in the healing of MSK tissues. However, a considerable gap still exists in comprehending how mechanical strains associated with mechanotherapy impact both the naïve and pro-inflammatory macrophage phenotypes within the three-dimensional (3D) tissue matrix, as well as whether the shift in macrophage phenotype is contingent on the mechanical strains inherent to mechanotherapy. In this study, we delineated alterations in mechano-adaptation and polarization of both naive and M1 macrophages within 3D matrices, elucidating their response to varying degrees of mechanical strain exposure (3%, 6%, and 12%). To evaluate macrophage mechano-adaptation and mechano-sensitivity within 3D collagen matrices under mechanical loading, we employed structural techniques (scanning electron microscopy, histology), quantitative morphological measures for phenotypic assessment, and genotypic methods such as quantitative real-time polymerase chain reaction. Our data reveal that the response of macrophages to mechanical loading is not only contingent on their specific sub-phenotype but also varies with the amplitude of mechanical strain. Notably, although supra-mechanical loading (12% strain) was requisite to induce a phenotypic shift in naive (M0) macrophages, as little as 3% mechanical strain proved sufficient to prompt phenotypic alterations in pro-inflammatory (M1) macrophages. These findings pave the way for leveraging the macrophage mechanome in customized and targeted applications of mechanical strain within the mechano-therapeutic framework. Considering the prevalence of MSK tissue injuries and their profound societal and economic implications, the development of well-informed and effective clinical mechanotherapy modalities for MSK tissue healing becomes an imperative endeavor. Impact statement Mechanotherapy is a primary noninvasive treatment for musculoskeletal (MSK) tissue injuries, but the effect of mechanical strain on macrophage phenotypes is not fully understood. A recent study found that macrophage response to mechanical loading is both sub-phenotype specific and amplitude-dependent, with even small strains enough to induce phenotypic changes in pro-inflammatory macrophages. These findings could pave the way for using macrophage mechanome in targeted mechanotherapy applications for better MSK tissue healing.

Indexed as

MacrophagesMusculoskeletal SystemCollagenPhenotypeWound HealingCollagencytoskeletonimmunomodulationinflammationmacrophage-laden 3D matrixmacrophage polarizationmechanotherapymechanotransductionmusculoskeletal tissue regeneration

Identifiers

PMID37725574
PMCPMC11040194
OpenAlexW4386860318

What OpenQuestion holds

Textmetadata
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Registered trials

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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.