Evidence map›Paper›PMID 32986138›Full record

ReviewCurrent topics in microbiology and immunology2023

Cell Killing by Reovirus: Mechanisms and Consequences.

Andrew McNamara, Katherine Roebke, Pranav Danthi

Abstract readReview
In one paragraph

Review in Current topics in microbiology and immunology, 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
1.7field-weighted citation impact, top 9% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
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.

Andrew McNamaraDepartment of Biology, Indiana University, Bloomington, IN, 47405, USA.
Katherine RoebkeDepartment of Biology, Indiana University, Bloomington, IN, 47405, USA.
Pranav DanthiDepartment of Biology, Indiana University, Bloomington, IN, 47405, USA. pdanthi@indiana.edu.
Indiana University Bloomington · US

Funding

Regulating the Detection of Reovirus InfectionR01AI110637 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI Pranav Danthi · 2014 to 2026
$4.5M
Identification of a New RIPK3-Dependent Cell Death PathwayR03AI142013 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI DANTHI, PRANAV · 2019 to 2020
$158k
NIAID NIH HHS R01 AI110637NIAID NIH HHS R03 AI142013
6 · The paper itself

Abstract

Infection of host cells by mammalian reovirus in culture or in tissues of infected animals results in cell death. Cell death of infected neurons and myocytes contributes to the pathogenesis of reovirus-induced encephalitis and myocarditis in a newborn mouse model. Thus, reovirus-induced cell death has been used to investigate the basis of viral disease. Depending on the cell type, infection of host cells by reovirus results in one of two forms of cell death-apoptosis and necroptosis. In addition to the obvious differences in how these two forms of cell death are executed, the mechanisms by which reovirus infection initiates and transduces signals that lead to each of these types of cell death are distinct. In this review, we discuss how apoptosis and necroptosis are triggered by events at different stages of infection. We also describe how innate immune recognition of reovirus genomic material and type I interferon signaling pathways connect with the core components of the apoptosis and necroptosis machinery. The impact of different cell death mediators on viral pathogenesis and the potential of reovirus as an oncolytic vector are also outlined.

Indexed as

ReoviridaeReoviridae InfectionsAnimalsApoptosisCell DeathImmunity, InnateMammalsMice

Identifiers

PMID32986138
PMCPMC11890104
OpenAlexW3088109074

What OpenQuestion holds

Textmetadata
LicenceTDM
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.