Evidence map›Paper›PMID 30609022›Full record

ReviewJournal of cellular physiology2019

Extracellular micro/nanovesicles rescue kidney from ischemia-reperfusion injury.

Saeed Farzamfar, Akram Hasanpour, Niloufar Nazeri, Hengameh Razavi, Majid Salehi, Shilan Shafei, Vajiheh T Nooshabadi, Ahmad Vaez, Arian Ehterami, Hamed Sahrapeyma and 1 more

Abstract readReview
In one paragraph

Review in Journal of cellular physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Exosome-primed T cell immunity is facilitated by complement activation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026
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  16. Epigenetic modifications and the development of kidney graft fibrosis.Current opinion in organ transplantation · 2021
    Review
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  20. [Effect of adipose-derived stem cell derived exosomes on angiogenesis after skin flap transplantation in rats].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2019
    Article
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

11 authors.

Saeed FarzamfarDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Akram HasanpourDepartment of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Niloufar NazeriDepartment of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Hengameh RazaviDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Majid SalehiDepartment of Tissue Engineering, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran.ORCID 0000-0001-6283-8181
Shilan ShafeiDepartment of Molecular Medicine, School of Advanced Technologies in Medicine, International Campus of Tehran University of Medical Sciences, Tehran, Iran.
Vajiheh T NooshabadiDepartment of Applied Cell Sciences, Kashan University of Medical Sciences, Kashan, Iran.
Ahmad VaezDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Arian EhteramiDepartment of Mechanical and Aerospace Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Hamed SahrapeymaDepartment of Biomaterial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Jafar AiDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-8417-5913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute renal failure (ARF) is a clinical challenge that is highly resistant to treatment, and its high rate of mortality is alarming. Ischemia-reperfusion injury (IRI) is the most common cause of ARF. Especially IRI is implicated in kidney transplantation and can determine graft survival. Although the exact pathophysiology of renal IRI is unknown, the role of inflammatory responses has been elucidated. Because mesenchymal stromal cells (MSCs) have strong immunomodulatory properties, they are under extensive investigation as a therapeutic modality for renal IRI. Extracellular vesicles (EVs) play an integral role in cell-to-cell communication. Because the regenerative potential of the MSCs can be recapitulated by their EVs, the therapeutic appeal of MSC-derived EVs has dramatically increased in the past decade. Higher safety profile and ease of preservation without losing function are other advantages of EVs compared with their producing cells. In the current review, the preliminary results and potential of MSC-derived EVs to alleviate kidney IRI are summarized. We might be heading toward a cell-free approach to treat renal IRI.

Indexed as

Acute Kidney InjuryAnimalsCell- and Tissue-Based TherapyExtracellular VesiclesHumansKidneyMesenchymal Stem CellsMesenchymal Stem Cell TransplantationMiceRegenerative MedicineReperfusion Injuryexosomesextracellular vesicles (EVs)ischemia-reperfusion injury (IRI)microvesicles (MVs)renal failure

Identifiers

PMID30609022
PMCPMC13484119

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.