Evidence map›Paper›PMID 38035334›Full record

ArticleFrontiers in cellular and infection microbiology2023

Extracellular vesicle storm during the course of Ebola virus infection in primates.

Andrea Vucetic, Andrea Lafleur, Marceline Côté, Darwyn Kobasa, Mable Chan, Fernando Alvarez, Ciriaco Piccirillo, George Dong, Martin Olivier

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

9 authors at 5 institutions in 1 country.

Andrea Vucetic *Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
Andrea Lafleur *Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
Marceline CôtéDepartment of Biochemistry, Microbiology and Immunology and Centre for Infection, Immunity and Inflammation, University of Ottawa, Ottawa, ON, Canada.
Darwyn KobasaSpecial Pathogen Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada.
Mable ChanSpecial Pathogen Program, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada.
Fernando AlvarezDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
Ciriaco PiccirilloDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
George DongDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
Martin OlivierDepartment of Microbiology and Immunology, McGill University, Montréal, QC, Canada.
McGill University · CAMcGill University Health Centre · CAPublic Health Agency of Canada · CAUniversity of Manitoba · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ebola virus (EBOV) is an RNA virus of the Filoviridae family that is responsible for outbreaks of hemorrhagic fevers in primates with a lethality rate as high as 90%. EBOV primarily targets host macrophages leading to cell activation and systemic cytokine storm, and fatal infection is associated with an inhibited interferon response, and lymphopenia. The EBOV surface glycoprotein (GP) has been shown to directly induce T cell depletion and can be secreted outside the virion via extracellular vesicles (EVs), though most studies are limited to epithelial cells and underlying mechanisms remain poorly elucidated. Methods: To assess the role of GP on EBOV-induced dysregulation of host immunity, we first utilized EBOV virus-like particles (VLPs) expressing VP40 and NP either alone (Bald-VLP) or in conjunction with GP (VLP-GP) to investigate early inflammatory responses in THP-1 macrophages and in a murine model. We then sought to decipher the role of non-classical inflammatory mediators such as EVs over the course of EBOV infection in two EBOV-infected rhesus macaques by isolating and characterizing circulatory EVs throughout disease progression using size exclusion chromatography, nanoparticle tracking-analysis, and LC-MS/MS. Results: While all VLPs could induce inflammatory mediators and recruit small peritoneal macrophages, pro-inflammatory cytokine and chemokine gene expression was exacerbated by the presence of GP. Further, quantification of EVs isolated from infected rhesus macaques revealed that the concentration of vesicles peaked in circulation at the terminal stage, at which time EBOV GP could be detected in host-derived exosomes. Moreover, comparative proteomics conducted across EV populations isolated from serum at various time points before and after infection revealed differences in host-derived protein content that were most significantly pronounced at the endpoint of infection, including significant expression of mediators of TLR4 signaling. Discussion: These results suggest a dynamic role for EVs in the modification of disease states in the context of EBOV. Overall, our work highlights the importance of viral factors, such as the GP, and host derived EVs in the inflammatory cascade and pathogenesis of EBOV, which can be collectively further exploited for novel antiviral development.

Indexed as

EbolavirusExtracellular VesiclesHemorrhagic Fever, EbolaAnimalsChemokinesChromatography, LiquidMacaca mulattaMiceTandem Mass SpectrometryChemokinesEbola virusEbola virus diseaseexosomeextracellular vesicleinflammationinflammatory responseprimates

Identifiers

PMID38035334
PMCPMC10684970
OpenAlexW4388705104

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.