Evidence map›Paper›PMID 35240544›Full record

ReviewMicrobiological research2022

Application of pseudovirus system in the development of vaccine, antiviral-drugs, and neutralizing antibodies.

Qi Xiang, Linhao Li, Jie Wu, Miao Tian, Yang Fu

Open access · greenAbstract readReview
In one paragraph

Review in Microbiological research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
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  6. Article
  7. Application of Orthoflavivirus Pseudovirus Technology in Antiviral Research.International journal of molecular sciences · 2026
    Review
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  9. Article
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  13. 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

5 authors at 1 institution in 1 country.

Qi XiangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Linhao LiSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Jie WuSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Miao TianSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Yang FuSchool of Medicine, Southern University of Science and Technology, Shenzhen, China. Electronic address: fuy@sustech.edu.cn.
Southern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudoviruses are viral particles coated with a heterologous envelope protein, which mediates the entry of pseudoviruses as efficiently as that of the live viruses possessing high pathogenicity and infectivity. Due to the deletion of the envelope protein gene and the absence of pathogenic genes, pseudoviruses have no autonomous replication ability and can infect host cells for only a single cycle. In addition, pseudoviruses have the desired characteristics of high safety, strong operability, and can be easily used to perform rapid throughput detection. Therefore, pseudoviruses are widely employed in the mechanistic investigation of viral infection, the screening and evaluation of monoclonal antibodies and antiviral drugs, and the detection of neutralizing antibody titers in serum after vaccination. In this review, we will discuss the construction of pseudoviruses based on different packaging systems, their current applications especially in the research of SARS-CoV-2, limitations, and further directions.

Indexed as

COVID-19VaccinesAntibodies, NeutralizingAntiviral AgentsHumansSARS-CoV-2Antibodies, NeutralizingAntiviral AgentsVaccinesEnvelope proteinHIVMLVPseudovirusesSARS-CoV-2VSV

Identifiers

PMID35240544
PMCPMC8848573
OpenAlexW4213273457

What OpenQuestion holds

Textmetadata
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.