Evidence map›Paper›PMID 27738438›Full record

ReviewStem cells international2016

Modulation of Immunoregulatory Properties of Mesenchymal Stromal Cells by Toll-Like Receptors: Potential Applications on GVHD.

Bruno Sangiorgi, Rodrigo Alexandre Panepucci

Open access · goldAbstract readReview
In one paragraph

Review in Stem cells international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  4. IFN-Stem cells international · 2024
    Article
  5. Review
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  7. Review
  8. Article
  9. Frontiers in bioengineering and biotechnology · 2022
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Role ofFrontiers in cell and developmental biology · 2021
    Review
  15. Review
  16. Article
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  18. Article
  19. Review
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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

2 authors at 1 institution in 1 country.

Bruno SangiorgiGenetics Department, Ribeirão Preto Medical School, University of São Paulo, São Paulo, SP, Brazil; Center for Cell-Based Therapy (CTC), Hemotherapy Center of Ribeirão Preto, São Paulo, SP, Brazil.ORCID 0000-0003-4197-8921
Rodrigo Alexandre PanepucciGenetics Department, Ribeirão Preto Medical School, University of São Paulo, São Paulo, SP, Brazil; Center for Cell-Based Therapy (CTC), Hemotherapy Center of Ribeirão Preto, São Paulo, SP, Brazil.ORCID 0000-0002-1119-4352
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, the immunomodulatory properties of mesenchymal stromal cells (MSCs) have attracted a lot of attention, due to their potential applicability in the treatment of graft-versus-host disease (GVHD), a condition frequently associated with opportunistic infections. The present review addresses how Pathogen-Associated Molecular Patterns (PAMPS) modulate the immunosuppressive phenotype of human MSCs by signaling through Toll-like receptors (TLRs). Overall, we observed that regardless of the source tissue, human MSCs express TLR2, TLR3, TLR4, and TLR9. Stimulation of distinct TLRs on MSCs elicits distinct inflammatory signaling pathways, differentially influencing the expression of inflammatory factors and the ability of MSCs to suppress the proliferation of immune system cells. The capacity to enhance the immunosuppressive phenotype of MSCs through TLRs stimulation might be properly elucidated in order to improve the MSC-based immunotherapy against GVHD.

Identifiers

PMID27738438
PMCPMC5050362
OpenAlexW2521861140

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.