Dataset Information

Early cytokine mRNA expression profiles predict Morbillivirus disease outcome in ferrets.

ABSTRACT: Severe immunosuppression is a hallmark of Morbillivirus infections. To study the underlying mechanisms, we have developed a ferret model of canine distemper virus infection. The model reproduces all clinical signs of measles, but the lack of ferret-specific reagents has limited the characterization of the cellular immune response. Towards this, we cloned ferret cytokines and established semi-quantitative real-time PCR assays. To demonstrate the utility of these assays we compared the cytokine profiles elicited by lethal and non-lethal strains during the prodromal phase. We observed a general lack of cytokine induction in animals that later succumbed to the disease, whereas survivors mounted a robust and sustained response. The newly developed cytokine assays strengthen and expand the ferret model not only for Morbillivirus pathogenesis studies but also for several other human respiratory viruses including influenza and SARS.

SUBMITTER: Svitek N

PROVIDER: S-EPMC2697062 | biostudies-literature | 2007 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Early cytokine mRNA expression profiles predict Morbillivirus disease outcome in ferrets.

Svitek Nicholas N von Messling Veronika V

Virology 20070207 2

Severe immunosuppression is a hallmark of Morbillivirus infections. To study the underlying mechanisms, we have developed a ferret model of canine distemper virus infection. The model reproduces all clinical signs of measles, but the lack of ferret-specific reagents has limited the characterization of the cellular immune response. Towards this, we cloned ferret cytokines and established semi-quantitative real-time PCR assays. To demonstrate the utility of these assays we compared the cytokine pr ...[more]

PMID: 17289104

Similar Datasets

Project description:Background: We report the detailed development of biomarkers to predict the clinical outcome under dengue infection. Transcriptional signatures from purified peripheral blood mononuclear cells were derived from whole-genome gene-expression microarray data and validated by quantitative PCR and tested in independent samples. Methodology/Principal Findings: The study was performed on patients of a well-characterized dengue cohort from Recife, Brazil. The samples analyzed were collected prospectively from acute febrile dengue patients who evolved with different degrees of disease severity, classic dengue fever or dengue hemorrhagic fever (DHF) and compared with similar samples from other non-dengue febrile illnesses. The DHF samples were collected 2-3 days before the presentation of the plasma leakage symptoms. Differentially-expressed genes were selected by univariate statistical tests as well as multivariate classification techniques. The results showed that at early stages of dengue infection, the genes involved in effector mechanisms of innate immune response presented a weaker activation on patients who later developed hemorrhagic fever, whereas the genes involved in apoptosis were expressed in higher levels. Conclusions/Significance: Some of the gene expression signatures displayed estimated accuracy rates of more than 95%, indicating that expression profiling with these signatures may provide a useful means of DHF prognosis at early stages of infection The samples correspond to blood samples from 26 patients from a cohort in Brazil, divided into three classes, DHF, DF, ND, as follows: 18 were confirmed dengue 3, genotype III cases, among which 10 were diagnosed as dengue hemorrhagic fever (DHF) and 8 as classical dengue fever (DF), and 8 control samples (ND) from febrile patients confirmed to be not infected with dengue. None of the DHF patients presented vasculopathy signs and symptoms at the time the samples used in the functional genomic characterization were collected. At the time of collection the patients referred approximately 5 days of disease and the absence of fever was reported two to three days after enrollment. The samples from the DF, DHF and ND patients were matched to avoid significant differences regarding patient age, gender, dengue infection history and days of symptoms among the groups.

Dataset Information

Early cytokine mRNA expression profiles predict Morbillivirus disease outcome in ferrets.

Publications

Early cytokine mRNA expression profiles predict Morbillivirus disease outcome in ferrets.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets