Evidence map›Paper›PMID 37764943›Full record

ArticlePathogens (Basel, Switzerland)2023

Characterization of Viral Interference in

Aurora Montsserrat González-Flores, Mariana Salas-Benito, Victor Hugo Rosales-García, Paola Berenice Zárate-Segura, Rosa María Del Ángel, Mónica Ascención De Nova-Ocampo, Juan Santiago Salas-Benito

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. 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 30% 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, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Aurora Montsserrat González-FloresCentro de Estudios Científicos y Tecnológicos del Estado de Tlaxcala, Tlaxcala 90491, Tlax., Mexico.
Mariana Salas-BenitoEscuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Mexico City 07320, Mexico.
Victor Hugo Rosales-GarcíaLaboratorios Centrales, Centro de Investigación y de Estudios Avanzados del IPN, Mexico City 07360, Mexico.
Paola Berenice Zárate-SeguraEscuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City 11340, Mexico.ORCID 0000-0002-5639-9503
Rosa María Del ÁngelDepartamento de Infectómica y Patogénesis Molecular, Centro de Investigación y de Estudios Avanzados del IPN, Mexico City 07360, Mexico.ORCID 0000-0002-6785-2035
Mónica Ascención De Nova-OcampoEscuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Mexico City 07320, Mexico.
Juan Santiago Salas-BenitoEscuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Mexico City 07320, Mexico.
Instituto Politécnico Nacional · MXAutonomous University of Tlaxcala · MX

Funding

Consejo Nacional de Humanidades, Ciencia y Tecnologías 60883Instituto Politécnico Nacional SIP-20140955, SIP-20181010
6 · The paper itself

Abstract

Arboviruses are an important group of pathogens that cause diseases of medical and veterinary concern worldwide. The interactions of these viruses with their host cells are complex, and frequently, the coexistence of two different viruses in the same cell results in the inhibition of replication in one of the viruses, which is a phenomenon called viral interference. This phenomenon can be exploited to develop antiviral strategies. Insect cell lines persistently infected with arboviruses are useful models with which to study viral interference. In this work, a model of C6/36-HT cells (from

Indexed as

arbovirusesmosquitoesPIWI-RNA pathwayviral interferenceviral persistence

Identifiers

PMID37764943
PMCPMC10536104
OpenAlexW4386483718

What Socratic 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 Socratic graph.