Evidence map›Paper›PMID 32641977›Full record

ReviewTheranostics2020

Bioengineering tools to speed up the discovery and preclinical testing of vaccines for SARS-CoV-2 and therapeutic agents for COVID-19.

Manuela Teresa Raimondi, Francesca Donnaloja, Bianca Barzaghini, Alberto Bocconi, Claudio Conci, Valentina Parodi, Emanuela Jacchetti, Stephana Carelli

Abstract readReview
In one paragraph

Review in Theranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Article
  9. Brazilian dental students and COVID-19: A survey on knowledge and perceptions.European journal of dental education : official journal of the Association for Dental Education in Europe · 2022
    Article
  10. Imaging Techniques: Essential Tools for the Study of SARS-CoV-2 Infection.Frontiers in cellular and infection microbiology · 2022
    Review
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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

8 authors.

Manuela Teresa RaimondiDepartment of Chemistry, Materials and Chemical Engineering G. Natta, Politecnico di Milano, Milano, Italy.
Francesca DonnalojaDepartment of Chemistry, Materials and Chemical Engineering G. Natta, Politecnico di Milano, Milano, Italy.
Bianca BarzaghiniDepartment of Chemistry, Materials and Chemical Engineering G. Natta, Politecnico di Milano, Milano, Italy.
Alberto BocconiDepartment of Chemistry, Materials and Chemical Engineering G. Natta, Politecnico di Milano, Milano, Italy.
Claudio ConciDepartment of Chemistry, Materials and Chemical Engineering G. Natta, Politecnico di Milano, Milano, Italy.
Valentina ParodiDepartment of Chemistry, Materials and Chemical Engineering G. Natta, Politecnico di Milano, Milano, Italy.
Emanuela JacchettiDepartment of Chemistry, Materials and Chemical Engineering G. Natta, Politecnico di Milano, Milano, Italy.
Stephana CarelliPediatric Clinical Research Center "Fondazione Romeo ed Enrica Invernizzi", Department of Biomedical and Clinical Sciences L. Sacco, University of Milano, Italy.

Funding

European Research Council
6 · The paper itself

Abstract

This review provides an update for the international research community on the cell modeling tools that could accelerate the understanding of SARS-CoV-2 infection mechanisms and could thus speed up the development of vaccines and therapeutic agents against COVID-19. Many bioengineering groups are actively developing frontier tools that are capable of providing realistic three-dimensional (3D) models for biological research, including cell culture scaffolds, microfluidic chambers for the culture of tissue equivalents and organoids, and implantable windows for intravital imaging. Here, we review the most innovative study models based on these bioengineering tools in the context of virology and vaccinology. To make it easier for scientists working on SARS-CoV-2 to identify and apply specific tools, we discuss how they could accelerate the discovery and preclinical development of antiviral drugs and vaccines, compared to conventional models.

Indexed as

BetacoronavirusAntiviral AgentsBioengineeringBioreactorsCell Culture TechniquesComputer SimulationCoronavirus InfectionsCOVID-19COVID-19 VaccinesDrug DiscoveryDrug EvaluationDrug Resistance, ViralHost Microbial InteractionsHumansModels, BiologicalOrganoidsAntiviral AgentsCOVID-19 VaccinesViral VaccinesantiviralbioengineeringCoronaviruspreclinical testingtargetvaccine

Identifiers

PMID32641977
PMCPMC7330866

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.