Evidence map›Paper›PMID 36511720›Full record

ReviewMicrobiology and molecular biology reviews : MMBR2023

A Brief History of the Discovery of RNA-Mediated Antiviral Immune Defenses in Vector Mosquitos.

Carol D Blair

Open access · greenAbstract readReview
In one paragraph

Review in Microbiology and molecular biology reviews : MMBR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Carol D BlairCenter for Vector-Borne Infectious Diseases, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0002-2803-0354
Colorado State University · US

Funding

INTERFERENCE TO DENGUE VIRUS REPLICATION IN MOSQUITOESR01AI034014 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · PI BLAIR, CAROL D · 1993 to 2006
$1.3M
NIAID NIH HHS R01 AI034014
6 · The paper itself

Abstract

Arthropod-borne viruses (arboviruses) persist in a natural cycle that includes infections of humans or other vertebrates and transmission between vertebrates by infected arthropods, most commonly mosquitos. Arboviruses can cause serious, sometimes fatal diseases in humans and other vertebrates but cause little pathology in their mosquito vectors. Knowledge of the interactions between mosquito vectors and the arboviruses that they transmit is an important facet of developing schemes to control transmission. Mosquito innate immune responses to virus infection modulate virus replication in the vector, and understanding the components and mechanisms of the immune response could lead to improved methods for interrupting the transmission cycle. The most important aspect of mosquito antiviral defense is the exogenous small interfering RNA (exo-siRNA) pathway, one arm of the RNA interference (RNAi) silencing response. Our research as well as that of many other groups over the past 25 years to define this pathway are reviewed here. A more recently recognized but less well-understood RNA-mediated mosquito defense against arbovirus infections, the PIWI-interacting RNA (piRNA) pathway, is also described.

Indexed as

ArbovirusesCulicidaeAnimalsAntiviral AgentsHumansPiwi-Interacting RNARNA InterferenceRNA, Small InterferingAntiviral AgentsPiwi-Interacting RNARNA, Small Interferingarthropod-borne virusesmosquito adaptive immunitymosquito innate immunityRNAiRNA interferencevector mosquitos

Identifiers

PMID36511720
PMCPMC10029339
OpenAlexW4311287271

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.