Evidence map›Paper›PMID 18234270›Full record

ArticleVirology2008

The SARS-CoV ferret model in an infection-challenge study.

Yong-Kyu Chu, Georgia D Ali, Fuli Jia, Qianjun Li, David Kelvin, Ronald C Couch, Kevin S Harrod, Julie A Hutt, Cheryl Cameron, Susan R Weiss and 1 more

Abstract readValidation Study
In one paragraph

Article in Virology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
  5. Review
  6. Animal models of Long Covid: A hit-and-run disease.Science translational medicine · 2024
    Review
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15 more citing papers are in PubMed but not listed here.

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

11 authors.

Yong-Kyu ChuDepartment of Biochemistry and Molecular Biology, Southern Research Institute, Birmingham, AL, USA.
Georgia D Ali
Fuli Jia
Qianjun Li
David Kelvin
Ronald C Couch
Kevin S Harrod
Julie A Hutt
Cheryl Cameron
Susan R Weiss
Colleen B Jonsson

Funding

MACROPHAGE DEFENSES AGAINST HAEMOPHILUS INFLUENZAER29AI030063 · NIAID · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI NOEL, GARY J. · 1990 to 1994
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NIAID NIH HHS N01 AI030063
6 · The paper itself

Abstract

Phase I human clinical studies involving therapeutics for emerging and biodefense pathogens with low incidence, such as the severe acute respiratory syndrome coronavirus (SARS-CoV), requires at a minimum preclinical evaluation of efficacy in two well-characterized and robust animal models. Thus, a ferret SARS-CoV model was evaluated over a period of 58 days following extensive optimization and characterization of the model in order to validate clinical, histopathological, virological and immunological endpoints. Ferrets that were infected intranasally with 10(3) TCID50 SARS-CoV showed higher body temperature (2-6 d.p.i.), sneezing (5-10 d.p.i.), lesions (5-7 d.p.i.) and decreased WBC/lymphocytes (2-5 d.p.i.). SARS-CoV was detected up to 7 d.p.i. in various tissues and excreta, while neutralizing antibody titers rose at 7 d.p.i. and peaked at 14 d.p.i. At 29 d.p.i., one group was challenged with 10(3) TCID50 SARS-CoV, and an anamnestic response in neutralizing antibodies was evident with no detectable virus. This study supports the validity of the ferret model for use in evaluating efficacy of potential therapeutics to treat SARS.

Indexed as

Disease Models, AnimalAnimalsAntibodies, ViralBody TemperatureFerretsLeukocyte CountLungLymphocyte CountMaleNasal CavityNeutralization TestsPharynxSevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusAntibodies, Viral

Identifiers

PMID18234270
PMCPMC2831213

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.