Evidence map›Paper›PMID 32895900›Full record

ReviewStem cell reviews and reports2021

Mesenchymal Stromal Cells in Viral Infections: Implications for COVID-19.

José Lucas Martins Rocha, Waldir César Ferreira de Oliveira, Nádia Cássia Noronha, Natalia Cristine Dias Dos Santos, Dimas Tadeu Covas, Virgínia Picanço-Castro, Kamilla Swiech, Kelen Cristina Ribeiro Malmegrim

Open access · bronzeAbstract readReview
In one paragraph

Review in Stem cell reviews and reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  10. Stem cell therapy for COVID-19 pneumonia.Molecular biomedicine · 2022
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  12. Potency of Mesenchymal Stem Cell and Its Secretome in Treating COVID-19.Regenerative engineering and translational medicine · 2022
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  15. Aqueous extract ofJournal of stem cells & regenerative medicine · 2022
    Article
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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 2 institutions in 1 country.

José Lucas Martins RochaCenter for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Waldir César Ferreira de OliveiraCenter for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Nádia Cássia NoronhaCenter for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Natalia Cristine Dias Dos SantosCenter for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Dimas Tadeu CovasCenter for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Virgínia Picanço-CastroCenter for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Kamilla SwiechCenter for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Kelen Cristina Ribeiro MalmegrimCenter for Cell-based Therapy, Regional Blood Center of Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil. kelenfarias@fcfrp.usp.br.ORCID 0000-0002-9303-0086
Universidade de Ribeirão Preto · BRUniversidade de São Paulo · BR

Funding

Coordination for the Improvement of Higher Education Personnel (CAPES) Finance Code 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/08135-2
6 · The paper itself

Abstract

Mesenchymal stromal cells (MSCs) constitute a heterogeneous population of stromal cells with immunomodulatory and regenerative properties that support their therapeutic use. MSCs isolated from many tissue sources replicate vigorously in vitro and maintain their main biological properties allowing their widespread clinical application. To date, most MSC-based preclinical and clinical trials targeted immune-mediated and inflammatory diseases. Nevertheless, MSCs have antiviral properties and have been used in the treatment of various viral infections in the last years. Here, we revised in detail the biological properties of MSCs and their preclinical and clinical applications in viral diseases, including the disease caused by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection (COVID-19). Notably, rapidly increasing numbers of MSC-based therapies for COVID-19 have recently been reported. MSCs are theoretically capable of reducing inflammation and promote lung regeneration in severe COVID-19 patients. We critically discuss the rationale, advantages and disadvantages of MSC-based therapies for viral infections and also specifically for COVID-19 and point out some directions in this field. Finally, we argue that MSC-based therapy may be a promising therapeutic strategy for severe COVID-19 and other emergent respiratory tract viral infections, beyond the viral infection diseases in which MSCs have already been clinically applied. Graphical Abstract.

Indexed as

Mesenchymal Stem Cell TransplantationCOVID-19HumansInflammationLungMesenchymal Stem CellsSARS-CoV-2Acute respiratory distress syndromeCell therapyCOVID-19ImmunomodulationMesenchymal stromal cellsSARS-CoV-2Viral diseasesViral infections

Identifiers

PMID32895900
PMCPMC7476649
OpenAlexW3083349216

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.