Evidence map›Paper›PMID 34791300›Full record

ArticleThe Journal of infectious diseases2022

Transient Liver Damage and Hemolysis Are Associated With an Inhibition of Ebola Virus Glycoprotein-Specific Antibody Response and Lymphopenia.

Hugues Fausther-Bovendo, Xiangguo Qiu, George Giorgi Babuadze, Hiva Azizi, Jannie Pedersen, Gary Wong, Gary P Kobinger

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2022. 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
0.1field-weighted citation impact, top 50% 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, 3 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 2 countries.

Hugues Fausther-BovendoDepartment of Microbiology and Immunology, Faculty of Medicine, Laval University, Quebec, Canada.
Xiangguo QiuNational Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada.
George Giorgi BabuadzeDepartment of Microbiology and Immunology, Faculty of Medicine, Laval University, Quebec, Canada.
Hiva AziziDepartment of Microbiology and Immunology, Faculty of Medicine, Laval University, Quebec, Canada.
Jannie PedersenDepartment of Microbiology and Immunology, Faculty of Medicine, Laval University, Quebec, Canada.
Gary WongDepartment of Microbiology and Immunology, Faculty of Medicine, Laval University, Quebec, Canada.
Gary P KobingerDepartment of Microbiology and Immunology, Faculty of Medicine, Laval University, Quebec, Canada.
Université Laval · CAPublic Health Agency of Canada · CA

Funding

Canadian Institute of Health Research
6 · The paper itself

Abstract

Numerous studies have demonstrated the importance of the adaptive immunity for survival following Ebola virus (EBOV) infection. To evaluate the contribution of tissue damage to EBOV-induced immune suppression, acute liver damage or hemolysis, 2 symptoms associated with lethal EBOV infection, were chemically induced in vaccinated mice. Results show that either liver damage or hemolysis was sufficient to inhibit the host humoral response against EBOV glycoprotein and to drastically reduce the level of circulating T cells. This study thus provides a possible mechanism for the limited specific antibody production and lymphopenia in individuals with lethal hemorrhagic fever infections.

Indexed as

Antibody FormationHemorrhagic Fever, EbolaLymphopeniaAnimalsAntibodies, ViralEbolavirusGlycoproteinsHemolysisLiverMiceAntibodies, ViralGlycoproteinsEbola virushumoral responselymphopeniatissue damage

Identifiers

PMID34791300
PMCPMC9113424
OpenAlexW3213454630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.