Evidence map›Paper›PMID 29273091›Full record

ArticleStem cell research & therapy2017

Mesenchymal stem cells decrease lung inflammation during sepsis, acting through inhibition of the MAPK pathway.

Leonardo Pedrazza, Monica Cubillos-Rojas, Fernanda Cristina de Mesquita, Carolina Luft, Aline Andrea Cunha, Jose Luis Rosa, Jarbas Rodrigues de Oliveira

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.5field-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

31 citing papers in PubMed, 53 citations in OpenAlex.

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  8. Clinical practice of sepsis-induced immunosuppression: Current immunotherapy and future options.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2024
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  9. Down-Regulation of CXCR4 in Mesenchymal Stem Cells by Septic Serum.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2022
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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

7 authors at 2 institutions in 2 countries.

Leonardo PedrazzaLaboratório de Pesquisa em Biofísica Celular e Inflamação, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Rio Grande do Sul, CEP 90619-900, Brazil. leopedrazza@gmail.com.ORCID 0000-0001-6815-9366
Monica Cubillos-RojasDepartament de Ciències Fisiològiques, IDIBELL, Campus de Bellvitge, Universitat de Barcelona, L'Hospitalet de Llobregat, E-08907, Barcelona, Spain.
Fernanda Cristina de MesquitaLaboratório de Pesquisa em Biofísica Celular e Inflamação, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Rio Grande do Sul, CEP 90619-900, Brazil.
Carolina LuftLaboratory of Pediatric Respirology, Infant Center, Institute of Biomedical Research (IPB), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Rio Grande do Sul, CEP 90619-900, Brazil.
Aline Andrea CunhaLaboratory of Pediatric Respirology, Infant Center, Institute of Biomedical Research (IPB), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Rio Grande do Sul, CEP 90619-900, Brazil.
Jose Luis RosaDepartament de Ciències Fisiològiques, IDIBELL, Campus de Bellvitge, Universitat de Barcelona, L'Hospitalet de Llobregat, E-08907, Barcelona, Spain.
Jarbas Rodrigues de OliveiraLaboratório de Pesquisa em Biofísica Celular e Inflamação, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Rio Grande do Sul, CEP 90619-900, Brazil.
Pontifícia Universidade Católica do Rio Grande do Sul · BRBellvitge University Hospital · ES

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 400422/2013-1
6 · The paper itself

Abstract

backgroundSepsis is a severe medical condition that ranks among the top 10 causes of death worldwide and which has permanently high incidence rates. Mesenchymal stem cells (MSCs) have been found to be potent modulators of immune responses. More importantly, there is evidence that MSCs have a beneficial effect on preclinical models of polymicrobial sepsis. However, the changes caused by the MSCs in the effector cells of the host immune system remain unclear.

methodsA mouse model of sepsis (male C57BL/6 mice) with three experimental groups was used for experiments in vivo: a control group, an untreated septic group, and a septic group treated with MSCs. In vitro experiments were performed using a cell line of pulmonary macrophages (RAW 264.7) co-cultured with MSCs and stimulated with lipopolysaccharide (LPS).

resultsIn vivo we demonstrated that treatment with MSCs was able to reduce the expression of cyclooxygenase-2 (COX-2) and nuclear factor kappa B (NF-κB), and thereby decrease the production of inflammatory cytokines. In vitro experiments using a co-culture of macrophages with MSCs showed a decrease in COX-2 and NF-κB, and showed that this reduction was directly related to the ability of MSCs to inhibit phosphorylation of ERK, RSK, and p38, enzymes that belong to the family of mitogen-activated protein kinases (MAPKs).

conclusionsThis study demonstrated that MSCs are able to inhibit the MAPK pathway activation, modulating the inflammatory response during sepsis. This understanding that MSCs can remodel the response of host cells and improve the course of sepsis is essential for developing new treatments for this pathology.

Indexed as

AnimalsDisease Models, AnimalMaleMesenchymal Stem CellsMiceMice, Inbred C57BLp38 Mitogen-Activated Protein KinasesPneumoniaSepsisp38 Mitogen-Activated Protein KinasesMacrophagesMesenchymal stem cellsMitogen-activated protein kinasesSepsis

Identifiers

PMID29273091
PMCPMC5741936
OpenAlexW2775959456

What OpenQuestion holds

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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.