Evidence map›Paper›PMID 37371134›Full record

ReviewCells2023

Facing the Challenges in the COVID-19 Pandemic Era: From Standard Treatments to the Umbilical Cord-Derived Mesenchymal Stromal Cells as a New Therapeutic Strategy.

Eleonora Russo, Simona Corrao, Francesca Di Gaudio, Giusi Alberti, Martin Caprnda, Peter Kubatka, Peter Kruzliak, Vitale Miceli, Pier Giulio Conaldi, Cesario Venturina Borlongan and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

11 authors at 5 institutions in 3 countries.

Eleonora RussoSection of Histology and Embryology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-9048-1463
Simona CorraoResearch Department, IRCCS ISMETT (Istituto Mediterraneo per per i Trapianti e Terapie Ad Alta Specializzazione), 90127 Palermo, Italy.ORCID 0000-0002-0780-2984
Francesca Di GaudioPROMISE Department, University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-5910-5750
Giusi AlbertiSection of Histology and Embryology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.
Martin Caprnda1st Department of Internal Medicine, Faculty of Medicine, Comenius University, University Hospital Bratislava, 81499 Bratislava, Slovakia.
Peter KubatkaDepartment of Medical Biology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 03649 Martin, Slovakia.
Peter KruzliakResearch and Development Services, Pradlacka 18, 61300 Brno, Czech Republic.
Vitale MiceliResearch Department, IRCCS ISMETT (Istituto Mediterraneo per per i Trapianti e Terapie Ad Alta Specializzazione), 90127 Palermo, Italy.ORCID 0000-0001-8922-9909
Pier Giulio ConaldiResearch Department, IRCCS ISMETT (Istituto Mediterraneo per per i Trapianti e Terapie Ad Alta Specializzazione), 90127 Palermo, Italy.ORCID 0000-0003-1994-8005
Cesario Venturina BorlonganDepartment of Neurosurgery and Brain Repair, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0002-2966-9782
Giampiero La RoccaSection of Histology and Embryology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.
University of Palermo · ITIstituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione · ITComenius University Bratislava · SKUniversity Hospital Bratislava · SKUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19), the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which counts more than 650 million cases and more than 6.6 million of deaths worldwide, affects the respiratory system with typical symptoms such as fever, cough, sore throat, acute respiratory distress syndrome (ARDS), and fatigue. Other nonpulmonary manifestations are related with abnormal inflammatory response, the "cytokine storm", that could lead to a multiorgan disease and to death. Evolution of effective vaccines against SARS-CoV-2 provided multiple options to prevent the infection, but the treatment of the severe forms remains difficult to manage. The cytokine storm is usually counteracted with standard medical care and anti-inflammatory drugs, but researchers moved forward their studies on new strategies based on cell therapy approaches. The perinatal tissues, such as placental membranes, amniotic fluid, and umbilical cord derivatives, are enriched in mesenchymal stromal cells (MSCs) that exert a well-known anti-inflammatory role, immune response modulation, and tissue repair. In this review, we focused on umbilical-cord-derived MSCs (UC-MSCs) used in in vitro and in vivo studies in order to evaluate the weakening of the severe symptoms, and on recent clinical trials from different databases, supporting the favorable potential of UC-MSCs as therapeutic strategy.

Indexed as

COVID-19Mesenchymal Stem CellsCOVID-19 VaccinesCytokinesFemaleHumansPandemicsPlacentaPregnancySARS-CoV-2Umbilical CordCOVID-19 VaccinesCytokinescell-based therapycell-free therapyclinical trialsCOVID-19cytokine stormextracellular vesiclesinflammatory diseasesmesenchymal stromal cellsSARS-CoV-2umbilical-cord-derived mesenchymal stromal cellsWharton’s jelly

Identifiers

PMID37371134
PMCPMC10297457
OpenAlexW4381337140

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.