scholarly journals Distinct Severe Acute Respiratory Syndrome Coronavirus-Induced Acute Lung Injury Pathways in Two Different Nonhuman Primate Species

2011 ◽  
Vol 85 (9) ◽  
pp. 4234-4245 ◽  
Author(s):  
S. L. Smits ◽  
J. M. A. van den Brand ◽  
A. de Lang ◽  
L. M. E. Leijten ◽  
W. F. van IJcken ◽  
...  
1983 ◽  
Vol 97 (4) ◽  
pp. 602-607 ◽  
Author(s):  
Cynthia L. Bennett ◽  
Roger T. Davis ◽  
Josef M. Miller

1976 ◽  
pp. 371-380 ◽  
Author(s):  
Russell W. Steele ◽  
Jörg W. Eichberg ◽  
R.L. Heberling ◽  
Jerry J. Eller ◽  
S.S. Kalter ◽  
...  

mBio ◽  
2013 ◽  
Vol 4 (4) ◽  
Author(s):  
Lisa E. Gralinski ◽  
Armand Bankhead ◽  
Sophia Jeng ◽  
Vineet D. Menachery ◽  
Sean Proll ◽  
...  

ABSTRACT Systems 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.


2003 ◽  
Vol 109 (2) ◽  
pp. 188-196 ◽  
Author(s):  
Jeanne M Soos ◽  
Rodd M Polsky ◽  
Sean P Keegan ◽  
Peter Bugelski ◽  
Danuta J Herzyk

1980 ◽  
Vol 4 ◽  
pp. 541-551 ◽  
Author(s):  
J.W. Eichberg ◽  
W.T. Kniker ◽  
E.G. Macias ◽  
R.W. Steele ◽  
B. McCullough ◽  
...  

2016 ◽  
Vol 1653 ◽  
pp. 23-38 ◽  
Author(s):  
Bernhard Reuss ◽  
Abdul R. Asif ◽  
Abdullah Almamy ◽  
Christian Schwerk ◽  
Horst Schroten ◽  
...  

Author(s):  
Fabien Pichon ◽  
Florence Busato ◽  
Simon Jochems ◽  
Beatrice Jacquelin ◽  
Roger Le Grand ◽  
...  

AbstractThe Infinium Human Methylation450 and Methylation EPIC BeadChips are useful tools for the study of the methylation state of hundreds of thousands of CpG across the human genome at affordable cost. However, in a wide range of experimental settings in particular for studies in infectious or brain-related diseases, human samples cannot be easily obtained. Hence, due to their close developmental, immunological and neurological proximity with humans, non-human primates are used in many research fields of human diseases and for preclinical research. Few studies have used DNA methylation microarrays in simian models. Microarrays designed for the analysis of DNA methylation patterns in the human genome could be useful given the genomic proximity between human and nonhuman primates. However, there is currently information lacking about the specificity and usability of each probe for many nonhuman primate species, including rhesus macaques (Macaca mulatta), originating from Asia, and African green monkeys originating from West-Africa (Chlorocebus sabaeus). Rhesus macaques and African green monkeys are among the major nonhuman primate models utilized in biomedical research. Here, we provide a precise evaluation and re-annotation of the probes of the two microarrays for the analysis of genome-wide DNA methylation patterns in these two Cercopithecidae species. We demonstrate that up to 162,000 of the 450K and 255,000 probes of the EPIC BeadChip can be reliably used in Macaca mulatta or Chlorocebus sabaeus. The annotation files are provided in a format compatible with a variety of preprocessing, normalization and analytical pipelines designed for data analysis from 450K/EPIC arrays, facilitating high-throughput DNA methylation analyses in Macaca mulatta and Chlorocebus sabaeus. They provide the opportunity to the research community to focus their analysis only on those probes identified as reliable. The described analytical workflow leaves the choice to the user to balance coverage versus specificity and can also be applied to other Cercopithecidae species.


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