Evidence map›Paper›PMID 35632685›Full record

ArticleViruses2022

Can Virus-like Particles Be Used as Synergistic Agent in Pest Management?

Caroline Deshayes, Anne-Sophie Gosselin-Grenet, Mylène Ogliastro, Bruno Lapied, Véronique Apaire-Marchais

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Highly stableFrontiers in bioengineering and biotechnology · 2024
    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

5 authors at 2 institutions in 1 country.

Caroline DeshayesUniversity Angers, INRAE, SIFCIR, SFR QUASAV, F-49045 Angers, France.
Anne-Sophie Gosselin-GrenetDGIMI, University of Montpellier, INRAE, F-34095 Montpellier, France.ORCID 0000-0003-0819-5626
Mylène OgliastroDGIMI, University of Montpellier, INRAE, F-34095 Montpellier, France.
Bruno LapiedUniversity Angers, INRAE, SIFCIR, SFR QUASAV, F-49045 Angers, France.ORCID 0000-0002-0354-4375
Véronique Apaire-MarchaisUniversity Angers, INRAE, SIFCIR, SFR QUASAV, F-49045 Angers, France.
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among novel strategies proposed in pest management, synergistic agents are used to improve insecticide efficacy through an elevation of intracellular calcium concentration that activates the calcium-dependent intracellular pathway. This leads to a changed target site conformation and to increased sensitivity to insecticides while reducing their concentrations. Because virus-like particles (VLPs) increase the intracellular calcium concentration, they can be used as a synergistic agent to synergize the effect of insecticides. VLPs are self-assembled viral protein complexes, and by contrast to entomopathogen viruses, they are devoid of genetic material, which makes them non-infectious and safer than viruses. Although VLPs are well-known to be used in human health, we propose in this study the development of a promising strategy based on the use of VLPs as synergistic agents in pest management. This will lead to increased insecticides efficacy while reducing their concentrations.

Indexed as

InsecticidesPest ControlVirusesCalciumViral ProteinsCalciumInsecticidesViral Proteinsinsecticideintracellular calciumpest managementsynergistic agentvirus-like particles

Identifiers

PMID35632685
PMCPMC9144638
OpenAlexW4225373563

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.