Evidence map›Paper›PMID 23919993›Full record

ArticlemBio2013

Mechanisms of severe acute respiratory syndrome coronavirus-induced acute lung injury.

Lisa E Gralinski, Armand Bankhead, Sophia Jeng, Vineet D Menachery, Sean Proll, Sarah E Belisle, Melissa Matzke, Bobbie-Jo M Webb-Robertson, Maria L Luna, Anil K Shukla and 11 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in mBio, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 186 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
186citing papers in PubMed, 4 pooled it
4.2field-weighted citation impact, top 5% 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.

NCT04466670 phase2unknown statusnot on this mapstarted 2020, after this paper: background citation

Dynamics of Hemostatic Parameters in COVID-19 and Comparison of Intervention Strategies Through Adaptive Clinical Trial

TypeinterventionalSponsorUniversity of Sao Paulo General HospitalRan2020 to 2022Enrolled379ConditionsCOVID-19Armsacetylsalicylic acid, Unfractionated heparin nebulized
NCT04632732 completednot on this mapstarted 2020, after this paper: background citation

Apelin; ACE2 and Biomarkers of Alveolar-capillary Permeability in SARS-cov-2 (COVID-19).

Typeobservational_patient_registrySponsorCentre de recherche du Centre hospitalier universitaire de SherbrookeRan2020 to 2021Enrolled140ConditionsCovid19ArmsCOVID-19 test, Blood sampling
3 · Its place in the literature

Who cites it

186 citing papers in PubMed, 4 syntheses or guidelines pooled it, 291 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

126 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

21 authors at 4 institutions in 1 country.

Lisa E GralinskiDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Armand Bankhead
Sophia Jeng
Vineet D Menachery
Sean Proll
Sarah E Belisle
Melissa Matzke
Bobbie-Jo M Webb-Robertson
Maria L Luna
Anil K Shukla
Martin T Ferris
Meagan Bolles
Jean Chang
Lauri Aicher
Katrina M Waters
Richard D Smith
Thomas O Metz
G Lynn Law
Michael G Katze
Shannon McWeeney
Ralph S Baric
Oregon Health & Science University · USUniversity of Washington · USUniversity of North Carolina at Chapel Hill · USOregon Clinic · US

Funding

OREGON CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024140 · NCRR · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2011
$61.1M
Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008719 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI, DESHMUKH, MOHANISH P · 1999 to 2023
$15.1M
NCRR NIH HHS 5UL1RR024140NCRR NIH HHS UL1 RR024140NIAID NIH HHS HHSN272200800060CNIGMS NIH HHS 8 P41 GM103493-10NIGMS NIH HHS P41 GM103493NIGMS NIH HHS T32 GM008719
6 · The paper itself

Abstract

unlabelledSystems biology offers considerable promise in uncovering novel pathways by which viruses and other microbial pathogens interact with host signaling and expression networks to mediate disease severity. In this study, we have developed an unbiased modeling approach to identify new pathways and network connections mediating acute lung injury, using severe acute respiratory syndrome coronavirus (SARS-CoV) as a model pathogen. We utilized a time course of matched virologic, pathological, and transcriptomic data within a novel methodological framework that can detect pathway enrichment among key highly connected network genes. This unbiased approach produced a high-priority list of 4 genes in one pathway out of over 3,500 genes that were differentially expressed following SARS-CoV infection. With these data, we predicted that the urokinase and other wound repair pathways would regulate lethal versus sublethal disease following SARS-CoV infection in mice. We validated the importance of the urokinase pathway for SARS-CoV disease severity using genetically defined knockout mice, proteomic correlates of pathway activation, and pathological disease severity. The results of these studies demonstrate that a fine balance exists between host coagulation and fibrinolysin pathways regulating pathological disease outcomes, including diffuse alveolar damage and acute lung injury, following infection with highly pathogenic respiratory viruses, such as SARS-CoV. IMPORTANCE: Severe acute respiratory syndrome coronavirus (SARS-CoV) emerged in 2002 and 2003, and infected patients developed an atypical pneumonia, acute lung injury (ALI), and acute respiratory distress syndrome (ARDS) leading to pulmonary fibrosis and death. We identified sets of differentially expressed genes that contribute to ALI and ARDS using lethal and sublethal SARS-CoV infection models. Mathematical prioritization of our gene sets identified the urokinase and extracellular matrix remodeling pathways as the most enriched pathways. By infecting Serpine1-knockout mice, we showed that the urokinase pathway had a significant effect on both lung pathology and overall SARS-CoV pathogenesis. These results demonstrate the effective use of unbiased modeling techniques for identification of high-priority host targets that regulate disease outcomes. Similar transcriptional signatures were noted in 1918 and 2009 H1N1 influenza virus-infected mice, suggesting a common, potentially treatable mechanism in development of virus-induced ALI.

Indexed as

Host-Pathogen InteractionsAcute Lung InjuryAnimalsBlood CoagulationDisease Models, AnimalFibrinolysisGene Expression ProfilingLungMiceMice, Inbred C57BLMice, KnockoutProteomeSevere acute respiratory syndrome-related coronavirusTime FactorsUrokinase-Type Plasminogen ActivatorProteomeUrokinase-Type Plasminogen Activator

Identifiers

PMID23919993
PMCPMC3747576
OpenAlexW2037466316

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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.