Evidence map›Paper›PMID 33014070›Full record

ReviewStem cells international2020

The Potential Use of Mesenchymal Stem Cells and Their Derived Exosomes as Immunomodulatory Agents for COVID-19 Patients.

Faisal A Alzahrani, Islam M Saadeldin, Abrar Ahmad, Dipak Kumar, Esam I Azhar, Arif Jamal Siddiqui, Bassem Kurdi, Abdulrahim Sajini, Abdulmajeed F Alrefaei, Sadaf Jahan

Open access · goldAbstract readReview
In one paragraph

Review in Stem cells international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.1field-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

38 citing papers in PubMed, 57 citations in OpenAlex.

  1. Trial
  2. Review
  3. Extracellular Vesicles for Disease Treatment.International journal of nanomedicine · 2025
    Review
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  5. Article
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  12. Article
  13. Advances in Extracellular Vesicle Nanotechnology for Precision Theranostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. COVID-19 inflammation and implications in drug delivery.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Review
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 7 institutions in 4 countries.

Faisal A AlzahraniDepartment of Biochemistry, Faculty of Science, Embryonic Stem Cell Unit, King Fahad Center for Medical Research, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0003-0441-4000
Islam M SaadeldinDepartment of Physiology, Faculty of Veterinary Medicine, Zagazig University, Zagazig 44519, Egypt.ORCID https://orcid.org/0000-0002-7633-730X
Abrar AhmadDepartment of Biochemistry, Faculty of Science, Embryonic Stem Cell Unit, King Fahad Center for Medical Research, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0001-9439-7712
Dipak KumarZoology Department, KKM College, Munger University, Jamui, India.ORCID https://orcid.org/0000-0001-6104-9447
Esam I AzharDepartment of Medical Laboratories, College of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Arif Jamal SiddiquiDepartment of Biology, College of Science, University of Hail, Hail, Saudi Arabia.ORCID https://orcid.org/0000-0002-6236-0920
Bassem KurdiDepartment of Pediatrics, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0002-7169-2337
Abdulrahim SajiniDepartment of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, UAE.ORCID https://orcid.org/0000-0002-8600-3899
Abdulmajeed F AlrefaeiJamoum University College, Department of Biology, University of Umm Al-Qura, Saudi Arabia.ORCID https://orcid.org/0000-0003-0804-2339
Sadaf JahanCollege of Applied Medical Science, Majmaah University, Al Majmaah, Saudi Arabia.ORCID https://orcid.org/0000-0002-6976-5672
King Abdulaziz University · SAKhalifa University of Science and Technology · AEMajmaah University · SAMunger University · INUmm al-Qura University · SAUniversity of Ha'il · SAZagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel severe acute respiratory syndrome coronavirus (SARS-CoV-2) causing lethal acute respiratory disease emerged in December 2019. The World Health Organization named this disease "COVID-19" and declared it a pandemic on March 11, 2020. Many studies have shown that mesenchymal stem cells (MSCs) and their exosomes (MSCs-Exo), which are isolated from allogenic bone marrow stem cells, significantly lower the risk of alveolar inflammation and other pathological conditions associated with distinct lung injuries. For example, in acute respiratory distress syndrome (ARDS) and pneumonia patients, MSCs-Exo and MSCs provide similar healing properties and some clinical trials have used cell-based inhalation therapy which show great promise. MSCs and MSCs-Exo have shown potential in clinical trials as a therapeutic tool for severely affected COVID-19 patients when compared to other cell-based therapies, which may face challenges like the cells' sticking to the respiratory tract epithelia during administration. However, the use of MSCs or MSCs-Exo for treating COVID-19 should strictly adhere to the appropriate manufacturing practices, quality control measurements, preclinical safety and efficacy data, and the proper ethical regulations. This review highlights the available clinical trials that support the therapeutic potential of MSCs or MSCs-Exo in severely affected COVID-19 patients.

Identifiers

PMID33014070
PMCPMC7512102
OpenAlexW3089093329

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.