Evidence map›Paper›PMID 20702617›Full record

ArticleJournal of virology2010

Transcriptomic analysis reveals a mechanism for a prefibrotic phenotype in STAT1 knockout mice during severe acute respiratory syndrome coronavirus infection.

Gregory A Zornetzer, Matthew B Frieman, Elizabeth Rosenzweig, Marcus J Korth, Carly Page, Ralph S Baric, Michael G Katze

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Regulator of Cell Cycle Protein (RGCC/RGC-32) Protects against Pulmonary Fibrosis.American journal of respiratory cell and molecular biology · 2022
    Article
  7. Article
  8. Review
  9. SARS-CoV-2 infection-induced immune responses: Friends or foes?Scandinavian journal of immunology · 2020
    Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
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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

7 authors at 3 institutions in 1 country.

Gregory A ZornetzerDepartment of Microbiology, School of Medicine, University of Washington, Box 358070, Seattle, WA 98195-8070, USA.
Matthew B Frieman
Elizabeth Rosenzweig
Marcus J Korth
Carly Page
Ralph S Baric
Michael G Katze
University of Washington · USUniversity of Maryland, Baltimore · USUniversity of North Carolina at Chapel Hill · US

Funding

The Burden of Chikungunya and Dengue Infection in KenyaU54AI081680 · NIAID · OREGON HEALTH & SCIENCE UNIVERSITY · PI MOSES, ASHLEE V. · 2009 to 2013
$40.4M
SARS Replicase Proteins in Pathogenesis and ReplicationP01AI059443 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JOHNSTON, ROBERT E. · 2005 to 2009
$9.2M
Macaque Model and Gene Expression Profiling of SARSR01HL080621 · NHLBI · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2006 to 2009
$2.5M
SARS-CoV Pathogenic Mechanisms in Senescent MiceR01AI075297 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BARIC, RALPH S · 2008 to 2012
$2.5M
IMMUNITY AND INFECTIONT32AI007540 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI KAPER, JAMES B · 1998 to 2018
$2.2M
SARS-CoV Mediated Modulation of Innate ImmunityF32AI066542 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRIEMAN, MATTHEW BRYAN · 2005 to 2007
$143k
NHLBI NIH HHS HL080621NHLBI NIH HHS R01 HL080621NIAID NIH HHS AI059443NIAID NIH HHS AI075297NIAID NIH HHS AI66542NIAID NIH HHS F32 AI066542NIAID NIH HHS HHSN272200800060CNIAID NIH HHS P01 AI059443NIAID NIH HHS R01 AI075297NIAID NIH HHS T32 AI007540NIAID NIH HHS U54 AI081680
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus (SARS-CoV) infection can cause the development of severe end-stage lung disease characterized by acute respiratory distress syndrome (ARDS) and pulmonary fibrosis. The mechanisms by which pulmonary lesions and fibrosis are generated during SARS-CoV infection are not known. Using high-throughput mRNA profiling, we examined the transcriptional response of wild-type (WT), type I interferon receptor knockout (IFNAR1-/-), and STAT1 knockout (STAT1-/-) mice infected with a recombinant mouse-adapted SARS-CoV (rMA15) to better understand the contribution of specific gene expression changes to disease progression. Despite a deletion of the type I interferon receptor, strong expression of interferon-stimulated genes was observed in the lungs of IFNAR1-/- mice, contributing to clearance of the virus. In contrast, STAT1-/- mice exhibited a defect in the expression of interferon-stimulated genes and were unable to clear the infection, resulting in a lethal outcome. STAT1-/- mice exhibited dysregulation of T-cell and macrophage differentiation, leading to a TH2-biased immune response and the development of alternatively activated macrophages that mediate a profibrotic environment within the lung. We propose that a combination of impaired viral clearance and T-cell/macrophage dysregulation causes the formation of prefibrotic lesions in the lungs of rMA15-infected STAT1-/- mice.

Indexed as

Gene Expression ProfilingAnimalsFibrosisLung DiseasesMacrophagesMiceMice, KnockoutPhenotypeReceptor, Interferon alpha-betaRNA, MessengerSevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusSTAT1 Transcription FactorTh2 CellsReceptor, Interferon alpha-betaRNA, MessengerSTAT1 Transcription Factor

Identifiers

PMID20702617
PMCPMC2953159
OpenAlexW2168565849

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.