Evidence map›Paper›PMID 34680490›Full record

ReviewBiomedicines2021

Extracellular Vesicle-Based Therapy for COVID-19: Promises, Challenges and Future Prospects.

Vamika Karn, Shaista Ahmed, Lung-Wen Tsai, Rajni Dubey, Shreesh Ojha, Himanshu Naryan Singh, Mukesh Kumar, Piyush Kumar Gupta, Soumi Sadhu, Niraj Kumar Jha and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Therapeutic Applications of Stem Cell-Derived Exosomes.International journal of molecular sciences · 2024
    Review
  18. Review
  19. Review
  20. 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

13 authors at 6 institutions in 5 countries.

Vamika KarnDepartment of Biotechnology, Amity University, Mumbai 410221, India.
Shaista AhmedFaculty of Medical and Paramedical Sciences, Aix-Marseille University, 13005 Marseille, France.
Lung-Wen TsaiDepartment of Medicine Research, Taipei Medical University Hospital, Taipei 11031, Taiwan.
Rajni DubeyDepartment of Medicine Research, Taipei Medical University Hospital, Taipei 11031, Taiwan.
Shreesh OjhaDepartment of Pharmacology and Therapeutics, College of Medicine and Health Sciences, UAE University, Al Ain, Abu Dhabi P.O. Box 17666, United Arab Emirates.ORCID 0000-0001-7801-2966
Himanshu Naryan SinghDepartment of System Biology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Mukesh KumarDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India.
Piyush Kumar GuptaDepartment of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida 201310, India.ORCID 0000-0002-3346-910X
Soumi SadhuDepartment of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida 201310, India.
Niraj Kumar JhaDepartment of Biotechnology, School of Engineering & Technology (SET), Sharda University, Greater Noida 201310, India.ORCID 0000-0001-9486-4069
Ashutosh KumarDepartment of Anatomy, All India Institute of Medical Sciences, Patna 801507, India.
Soumya PanditDepartment of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida 201310, India.
Sanjay KumarDepartment of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida 201310, India.ORCID 0000-0001-6296-0291
Sharda University · INAll India Institute of Medical Sciences · INTaipei Medical University Hospital · TWAix-Marseille Université · FRColumbia University Irving Medical Center · USUnited Arab Emirates University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has become a serious concern and has negatively impacted public health and the economy. It primarily targets the lungs, causing acute respiratory distress syndrome (ARDS); however, it may also lead to multiple organ failure (MOF) and enhanced mortality rates. Hence, there is an urgent need to develop potential effective therapeutic strategies for COVID-19 patients. Extracellular vesicles (EVs) are released from various types of cells that participate in intercellular communication to maintain physiological and pathological processes. EVs derived from various cellular origins have revealed suppressive effects on the cytokine storm during systemic hyper-inflammatory states of severe COVID-19, leading to enhanced alveolar fluid clearance, promoted epithelial and endothelial recovery, and cell proliferation. Being the smallest subclass of EVs, exosomes offer striking characteristics such as cell targeting, being nano-carriers for drug delivery, high biocompatibility, safety, and low-immunogenicity, thus rendering them a potential cell-free therapeutic candidate against the pathogeneses of various diseases. Due to these properties, numerous studies and clinical trials have been performed to assess their safety and therapeutic efficacy against COVID-19. Hence, in this review, we have comprehensively described current updates on progress and challenges for EVs as a potential therapeutic agent for the management of COVID-19.

Indexed as

COVID-19extracellular vesiclesSARS-CoV2therapeutic agents

Identifiers

PMID34680490
PMCPMC8533559
OpenAlexW3204254158

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.