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Systems Biology Approaches in Infectious Diseases - Host Pathways Modulating Differential Response to Invasive Group A Streptococcal Sepsis

English, German · Paperback / Softback

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Epidemiological and genetic studies showed that severity of invasive group A streptococcal (GAS) sepsis is influenced by interactions of genetic factors of both bacteria and host. Systems biology approaches presented shed light on host mechanisms of differential response to invasive GAS sepsis. Using genome-wide association studies, we found association between differential susceptibility to GAS sepsis and quantitative trait loci (QTL) on mouse Chr 2 and X. Genes within these QTLs were prioritized based on bioinformatics and qPCR to explore mechanisms of host differential susceptibility. Collectively, data suggested that prostaglandin and interleukin 1 signaling pathways act as key modulators of a network of genes involved in immune responses to GAS sepsis. In addition, genome-wide transcriptome studies showed that pathways involving activation of interleukin 10 production and signaling are likely to be associated with resistance to infection. Despite differences between mouse and human immune systems, systems biology approaches results using mice corresponded well with results obtained from human studies demonstrating the power of this approach and better translation to humans.

About the author










Bachelor of Pharmaceutical Sciences, Cairo University, Egypt. Doctor of Philosophy, Genomics, functional genetics and proteomics, University of Tennessee Health Science Center, USA. Her research focuses on applying systems biology approaches to study immunogenetics of infectious diseases and host-pathogen interactions.

Product details

Authors Nourtan Abdeltawab
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 11.10.2011
 
EAN 9783846510537
ISBN 978-3-8465-1053-7
No. of pages 168
Subject Natural sciences, medicine, IT, technology > Biology > Genetics, genetic engineering

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