Evidence map›Paper›PMID 26258151›Full record

ReviewJournal of immunology research2015

Mesenchymal Stromal Cell Therapy in Ischemia/Reperfusion Injury.

Pascal Rowart, Pauline Erpicum, Olivier Detry, Laurent Weekers, Céline Grégoire, Chantal Lechanteur, Alexandra Briquet, Yves Beguin, Jean-Marie Krzesinski, François Jouret

Abstract readReview
In one paragraph

Review in Journal of immunology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
–field-weighted citation impact
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

70 citing papers in PubMed.

  1. Article
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  10. An update on stem cell therapy for stroke patients: Where are we now?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Review
  11. Article
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10 more citing papers are in PubMed but not listed here.

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

10 authors.

Pascal RowartDivision of Nephrology and Transplantation, University of Liège CHU (ULg CHU), 4000 Liège, Belgium ; Laboratory of Cardiovascular Sciences, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), University of Liège, 4000 Liège, Belgium.
Pauline ErpicumDivision of Nephrology and Transplantation, University of Liège CHU (ULg CHU), 4000 Liège, Belgium ; Laboratory of Cardiovascular Sciences, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), University of Liège, 4000 Liège, Belgium.
Olivier DetryLaboratory of Cardiovascular Sciences, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), University of Liège, 4000 Liège, Belgium ; Division of Abdominal Surgery and Transplantation, University of Liège CHU (ULg CHU), 4000 Liège, Belgium.
Laurent WeekersDivision of Nephrology and Transplantation, University of Liège CHU (ULg CHU), 4000 Liège, Belgium.
Céline GrégoireLaboratory of Hematology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), University of Liège, 4000 Liège, Belgium.
Chantal LechanteurLaboratory of Cell and Gene Therapy, University of Liège CHU (ULg CHU), 4000 Liège, Belgium.
Alexandra BriquetLaboratory of Hematology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), University of Liège, 4000 Liège, Belgium ; Laboratory of Cell and Gene Therapy, University of Liège CHU (ULg CHU), 4000 Liège, Belgium.
Yves BeguinLaboratory of Hematology, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), University of Liège, 4000 Liège, Belgium ; Laboratory of Cell and Gene Therapy, University of Liège CHU (ULg CHU), 4000 Liège, Belgium.
Jean-Marie KrzesinskiDivision of Nephrology and Transplantation, University of Liège CHU (ULg CHU), 4000 Liège, Belgium ; Laboratory of Cardiovascular Sciences, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), University of Liège, 4000 Liège, Belgium.
François JouretDivision of Nephrology and Transplantation, University of Liège CHU (ULg CHU), 4000 Liège, Belgium ; Laboratory of Cardiovascular Sciences, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA), University of Liège, 4000 Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemia/reperfusion injury (IRI) represents a worldwide public health issue of increasing incidence. IRI may virtually affect all organs and tissues and is associated with significant morbidity and mortality. Particularly, the duration of blood supply deprivation has been recognized as a critical factor in stroke, hemorrhagic shock, or myocardial infarction, as well as in solid organ transplantation (SOT). Pathophysiologically, IRI causes multiple cellular and tissular metabolic and architectural changes. Furthermore, the reperfusion of ischemic tissues induces both local and systemic inflammation. In the particular field of SOT, IRI is an unavoidable event, which conditions both short- and long-term outcomes of graft function and survival. Clinically, the treatment of patients with IRI mostly relies on supportive maneuvers since no specific target-oriented therapy has been validated thus far. In the present review, we summarize the current literature on mesenchymal stromal cells (MSC) and their potential use as cell therapy in IRI. MSC have demonstrated immunomodulatory, anti-inflammatory, and tissue repair properties in rodent studies and in preliminary clinical trials, which may open novel avenues in the management of IRI and SOT.

Indexed as

Mesenchymal Stem Cell TransplantationAnimalsAntigens, SurfaceBrain IschemiaCell- and Tissue-Based TherapyHumansKidney DiseasesLiver DiseasesMesenchymal Stem CellsMyocardial Reperfusion InjuryPhenotypeReperfusion InjuryAntigens, Surface

Identifiers

PMID26258151
PMCPMC4518154

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.