ReviewBiomedical journal2021
A brief review on potential application of mesenchymal stem cell and secretome in combating mortality and morbidity in COVID-19 patients.
Review in Biomedical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Effectiveness and safety of normoxic allogenic umbilical cord mesenchymal stem cells administered as adjunctive treatment in patients with severe COVID-19.Scientific reports · 2023Trial
- Effectiveness and safety profile of mesenchymal stem cell secretome as a treatment for severe cases of COVID-19: a randomized controlled trial.F1000Research · 2022Trial
- Review
- Potency of Mesenchymal Stem Cell and Its Secretome in Treating COVID-19.Regenerative engineering and translational medicine · 2022Review
- Level up for culture models - How 3D cell culture models benefit SARS-CoV-2 research.Biomedical journal · 2021Article
- Nanoconjugates-Based Stem Cell Therapy for the Management of COVID-19.Stem cell reviews and reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus disease 2019 (COVID-19) caused by novel Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV2), is typically associated with severe respiratory distress and has claimed more than 525,000 lives already. The most fearful aspect is the unavailability of any concrete guidelines and treatment or protective strategies for reducing mortality or morbidity caused by this virus. Repurposing of drugs, antivirals, convalescent plasma and neutralizing antibodies are being considered for treatment but are still questionable in lieu of the conflicting data, study design and induction of secondary infections. Stem cell therapy has seen substantial advancements over the past decade for the treatment of various diseases including pulmonary disorders with severe complications similar to COVID-19. Recently, mesenchymal stem cells (MSCs) have received particular attention as a potential therapeutic modality for SARS-CoV2 infection due to their ability to inhibit cytokine storm, a hallmark of severe COVID-19. MSCs secretion of trophic factors and extracellular vesicles mediated intercellular signaling are considered as principal contributing factors for tissue recovery. Although, recent preliminary studies have established the safety and efficacy of these cells without any severe secondary complications in the treatment of SARS-CoV2 infection, the rational use of MSCs on a large scale would still require additional relevant clinical investigations and validation of postulated mechanisms of these cells. This review presents the current clinical findings and update on the potential use of stem cell therapy and its secretome in combating the symptoms associated with COVID-19.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.