Evidence map›Paper›PMID 29297702›Full record

ArticleDNA and cell biology2018

Group B Wolbachia Strain-Dependent Inhibition of Arboviruses.

Michaela J Schultz, John H Connor, Horacio M Frydman

Open access · greenAbstract read
In one paragraph

Article in DNA and cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Mayaro Virus: The Potential Role of Microbiota andPathogens (Basel, Switzerland) · 2021
    Article
  4. mBio · 2018
    Article
  5. 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

3 authors at 1 institution in 1 country.

Michaela J Schultz1 Department of Biology, Boston University , Boston Massachusetts.
John H Connor2 National Emerging Infectious Diseases Laboratories, Boston University , Boston, Massachusetts.
Horacio M Frydman1 Department of Biology, Boston University , Boston Massachusetts.
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito-borne viruses, including Zika virus (ZIKV) and dengue virus (DENV), are global threats that continue to infect millions annually. Historically, efforts to combat the spread of these diseases have sought to eradicate the mosquito population. This has had limited success. Recent efforts to combat the spread of these diseases have targeted the mosquito population and the mosquito's ability to transmit viruses by altering the mosquito's microbiome. The introduction of particular strains of Wolbachia bacteria into mosquitos suppresses viral growth and blocks disease transmission. This novel strategy is being tested worldwide to reduce DENV and has early indications of success. The Wolbachia genus comprised divergent strains that are divided in major phylogenetic clades termed supergroups. All Wolbachia field trials currently utilize supergroup A Wolbachia in Aedes aegypti mosquitos to limit virus transmission. Here we discuss our studies of Wolbachia strains not yet used in virus control strategies but that show strong potential to reduce ZIKV replication. These strains are important opportunities in the search for novel tools to reduce the levels of mosquito-borne viruses and provide additional models for mechanistic studies.

Indexed as

AedesAnimalsArbovirusesCulicidaeDengue VirusPhylogenyVirus ReplicationWolbachiaZika Virusarbovirusdengue virusemerging virusesvector controlWolbachiaZika virus

Identifiers

PMID29297702
PMCPMC5770089
OpenAlexW2781666683

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.