Evidence map›Paper›PMID 32983181›Full record

ReviewFrontiers in immunology

Experimental Models for the Study of Central Nervous System Infection by SARS-CoV-2.

Inmaculada Sanclemente-Alaman, Lidia Moreno-Jiménez, María Soledad Benito-Martín, Alejandro Canales-Aguirre, Jordi A Matías-Guiu, Jorge Matías-Guiu, Ulises Gómez-Pinedo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
0.8field-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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Open biology · 2024
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  5. Article
  6. Review
  7. Article
  8. Article
  9. UsingExpert opinion on drug discovery · 2022
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. NLRP3 inflammasome activation and SARS-CoV-2-mediated hyperinflammation, cytokine storm and neurological syndromes.International journal of physiology, pathophysiology and pharmacology · 2022
    Review
  15. Review
  16. Article
  17. Neurological complications and infection mechanism of SARS-COV-2.Signal transduction and targeted therapy · 2021
    Review
  18. SARS-CoV-2, Cardiovascular Diseases, and Noncoding RNAs: A Connected Triad.International journal of molecular sciences · 2021
    Review
  19. Article
  20. 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

7 authors at 2 institutions in 2 countries.

Inmaculada Sanclemente-AlamanLaboratory of Neurobiology, Department of Neurology, Institute of Neurosciences, San Carlos Institute for Health Research, Universidad Complutense de Madrid, Madrid, Spain.
Lidia Moreno-JiménezLaboratory of Neurobiology, Department of Neurology, Institute of Neurosciences, San Carlos Institute for Health Research, Universidad Complutense de Madrid, Madrid, Spain.
María Soledad Benito-MartínLaboratory of Neurobiology, Department of Neurology, Institute of Neurosciences, San Carlos Institute for Health Research, Universidad Complutense de Madrid, Madrid, Spain.
Alejandro Canales-AguirrePreclinical Evaluation Unit, Medical and Pharmaceutical Biotechnology, CIATEJ-CONACYT, Guadalajara, Mexico.
Jordi A Matías-GuiuLaboratory of Neurobiology, Department of Neurology, Institute of Neurosciences, San Carlos Institute for Health Research, Universidad Complutense de Madrid, Madrid, Spain.
Jorge Matías-GuiuLaboratory of Neurobiology, Department of Neurology, Institute of Neurosciences, San Carlos Institute for Health Research, Universidad Complutense de Madrid, Madrid, Spain.
Ulises Gómez-PinedoLaboratory of Neurobiology, Department of Neurology, Institute of Neurosciences, San Carlos Institute for Health Research, Universidad Complutense de Madrid, Madrid, Spain.
Universidad Complutense de Madrid · ESConsejo Nacional de Humanidades, Ciencias y Tecnologías · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe response to the SARS-CoV-2 coronavirus epidemic requires increased research efforts to expand our knowledge of the disease. Questions related to infection rates and mechanisms, the possibility of reinfection, and potential therapeutic approaches require us not only to use the experimental models previously employed for the SARS-CoV and MERS-CoV coronaviruses but also to generate new models to respond to urgent questions. DEVELOPMENT: We reviewed the different experimental models used in the study of central nervous system (CNS) involvement in COVID-19 both in different cell lines that have enabled identification of the virus' action mechanisms and in animal models (mice, rats, hamsters, ferrets, and primates) inoculated with the virus. Specifically, we reviewed models used to assess the presence and effects of SARS-CoV-2 on the CNS, including neural cell lines, animal models such as mouse hepatitis virus CoV (especially the 59 strain), and the use of brain organoids.

conclusionGiven the clear need to increase our understanding of SARS-CoV-2, as well as its potential effects on the CNS, we must endeavor to obtain new information with cellular or animal models, with an appropriate resemblance between models and human patients.

Indexed as

BetacoronavirusDisease Models, AnimalAnimalsCell Line, TumorCentral Nervous System InfectionsCoronavirus InfectionsCOVID-19CricetinaeHEK293 CellsHumansMiceOrganoidsPandemicsPneumonia, ViralSARS-CoV-2central nervous systemCOVID-19experimental modelsmultiple sclerosisneurodegenerative diseaseSARS-CoV-2

Identifiers

PMID32983181
PMCPMC7485091
OpenAlexW3081886531

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.