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Gene regulatory network analysis supports inflammation as a key neurodegeneration process in prion disease

Authors :
Hiroaki Kitano
Antonio del Sol
Isaac Crespo
Kirsten Roomp
Wiktor Jurkowski
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) [research center]
Luxembourg Centre for Systems Biomedicine (LCSB): Computational Biology (Del Sol Group) [research center]
Source :
BMC Systems Biology, BMC Systems Biology, 6(132). BioMed Central (2012).
Publication Year :
2012
Publisher :
Springer Science and Business Media LLC, 2012.

Abstract

Background The activation of immune cells in the brain is believed to be one of the earliest events in prion disease development, where misfolded PrionSc protein deposits are thought to act as irritants leading to a series of events that culminate in neuronal cell dysfunction and death. The role of these events in prion disease though is still a matter of debate. To elucidate the mechanisms leading from abnormal protein deposition to neuronal injury, we have performed a detailed network analysis of genes differentially expressed in several mouse prion models. Results We found a master regulatory core of genes related to immune response controlling other genes involved in prion protein replication and accumulation, and neuronal cell death. This regulatory core determines the existence of two stable states that are consistent with the transcriptome analysis comparing prion infected versus uninfected mouse brain. An in silico perturbation analysis demonstrates that core genes are individually capable of triggering the transition and that the network remains locked once the diseased state is reached. Conclusions We hypothesize that this locking may be the cause of the sustained immune response observed in prion disease. Our analysis supports the hypothesis that sustained brain inflammation is the main pathogenic process leading to neuronal dysfunction and loss, which, in turn, leads to clinical symptoms in prion disease.

Details

ISSN :
17520509
Volume :
6
Database :
OpenAIRE
Journal :
BMC Systems Biology
Accession number :
edsair.doi.dedup.....82851f4c59ab6c466344dbe9d83eff46