Evidence map›Paper›PMID 28173878›Full record

ArticleStem cell research & therapy2017

The effects of glomerular and tubular renal progenitors and derived extracellular vesicles on recovery from acute kidney injury.

Andrea Ranghino, Stefania Bruno, Benedetta Bussolati, Aldo Moggio, Veronica Dimuccio, Marta Tapparo, Luigi Biancone, Paolo Gontero, Bruno Frea, Giovanni Camussi

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 91 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% 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

91 citing papers in PubMed, 2 syntheses or guidelines pooled it, 169 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Extracellular Vesicles and Immune Activation in Solid Organ Transplantation: The Impact of Immunosuppression.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Targeted therapeutic strategies for the kidney.Expert opinion on therapeutic targets · 2024
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
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  17. Article
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31 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 at 2 institutions in 1 country.

Andrea RanghinoDepartment of Medical Sciences and Molecular Biotechnology Center, University of Torino, Corso Dogliotti 14, Torino, 10126, Italy. andrea.ranghino@unito.it.
Stefania BrunoDepartment of Molecular Biotechnology and Health Sciences and Molecular Biotechnology Center, University of Torino, Torino, Italy.
Benedetta BussolatiDepartment of Molecular Biotechnology and Health Sciences and Molecular Biotechnology Center, University of Torino, Torino, Italy.
Aldo MoggioDepartment of Molecular Biotechnology and Health Sciences and Molecular Biotechnology Center, University of Torino, Torino, Italy.
Veronica DimuccioDepartment of Molecular Biotechnology and Health Sciences and Molecular Biotechnology Center, University of Torino, Torino, Italy.
Marta TapparoDepartment of Medical Sciences and Molecular Biotechnology Center, University of Torino, Corso Dogliotti 14, Torino, 10126, Italy.
Luigi BianconeDepartment of Medical Sciences and Molecular Biotechnology Center, University of Torino, Corso Dogliotti 14, Torino, 10126, Italy.
Paolo GonteroDepartment of Surgical Sciences, Città della Salute e della Scienza, University of Turin, Torino, Italy.
Bruno FreaDepartment of Surgical Sciences, Città della Salute e della Scienza, University of Turin, Torino, Italy.
Giovanni CamussiDepartment of Medical Sciences and Molecular Biotechnology Center, University of Torino, Corso Dogliotti 14, Torino, 10126, Italy.
University of Turin · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMesenchymal stromal cells (MSCs) and renal stem/progenitors improve the recovery of acute kidney injury (AKI) mainly through the release of paracrine mediators including the extracellular vesicles (EVs). Several studies have reported the existence of a resident population of MSCs within the glomeruli (Gl-MSCs). However, their contribution towards kidney repair still remains to be elucidated. The aim of the present study was to evaluate whether Gl-MSCs and Gl-MSC-EVs promote the recovery of AKI induced by ischemia-reperfusion injury (IRI) in SCID mice. Moreover, the effects of Gl-MSCs and Gl-MSC-EVs were compared with those of CD133

methodsIRI was performed in mice by clamping the left renal pedicle for 35 minutes together with a right nephrectomy. Immediately after reperfusion, the animals were divided in different groups to be treated with: Gl-MSCs, T-CD133

resultsGl-MSCs, and Gl-MSC-EVs both ameliorate kidney function and reduce the ischemic damage post IRI by activating tubular epithelial cell proliferation. Furthermore, T-CD133

conclusionsIn this study, we demonstrate that Gl-MSCs may contribute in the recovery of mice with AKI induced by IRI primarily through the release of EVs.

Indexed as

Mesenchymal Stem Cell TransplantationAC133 AntigenAcute Kidney InjuryAnimalsExtracellular VesiclesHumansKidney GlomerulusKidney TubulesMaleMesenchymal Stem CellsMiceMice, SCIDMicroRNAsRecovery of FunctionReperfusion InjuryTransplantation, HeterologousAC133 AntigenMicroRNAsPROM1 protein, humanExtracellular vesiclesGlomerular mesenchymal stromal cellsIschemia-reperfusion injuryRenal regeneration

Identifiers

PMID28173878
PMCPMC5297206
OpenAlexW2587360776

What OpenQuestion holds

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LicenceCC BY
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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.