TY - GEN
T1 - Pathogenesis of axial spondyloarthropathy in a network perspective
AU - Zhao, Jing
AU - Chen, Jie
AU - Yang, Ting Hong
AU - Holme, Petter
PY - 2011
Y1 - 2011
N2 - Complex chronic diseases are usually not caused by changes in a single causal gene but by an unbalanced regulating network resulting from the dysfunctions of multiple genes or their products. Therefore, network based systems approach can be helpful for the identification of candidate genes related to complex diseases and their relationships. The Axial spondyloarthropathy (SpA) is a group of chronic inflammatory joint diseases that mainly affects the spine and the sacroiliac joints, yet, the pathogenesis of SpA remains largely unknown. In this paper, we conducted a networked systems study on the pathogenesis of SpA. We integrated data related to SpA, from the OMIM database, proteomics and microarray experiments of SpA, to prioritize SpA candidate disease genes in the context of human protein interactome. Based on the top ranked SpA related genes, we constructed a PPI network and identified potential pathways associated with SpA. The PPI network and pathways reflect the well-known knowledge of SpA, i.e., immune mediated inflammation, as well as imbalanced bone modeling caused new bone formation and bone loss. This study may facilitate our understanding of the SpA pathogenesis from the perspective of network systems.
AB - Complex chronic diseases are usually not caused by changes in a single causal gene but by an unbalanced regulating network resulting from the dysfunctions of multiple genes or their products. Therefore, network based systems approach can be helpful for the identification of candidate genes related to complex diseases and their relationships. The Axial spondyloarthropathy (SpA) is a group of chronic inflammatory joint diseases that mainly affects the spine and the sacroiliac joints, yet, the pathogenesis of SpA remains largely unknown. In this paper, we conducted a networked systems study on the pathogenesis of SpA. We integrated data related to SpA, from the OMIM database, proteomics and microarray experiments of SpA, to prioritize SpA candidate disease genes in the context of human protein interactome. Based on the top ranked SpA related genes, we constructed a PPI network and identified potential pathways associated with SpA. The PPI network and pathways reflect the well-known knowledge of SpA, i.e., immune mediated inflammation, as well as imbalanced bone modeling caused new bone formation and bone loss. This study may facilitate our understanding of the SpA pathogenesis from the perspective of network systems.
KW - disease gene
KW - microarray expression
KW - pathway
KW - protein-protein interaction network
KW - proteomics
KW - spondyloarthropathy
UR - http://www.scopus.com/inward/record.url?scp=80054875287&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80054875287&partnerID=8YFLogxK
U2 - 10.1109/ISB.2011.6033118
DO - 10.1109/ISB.2011.6033118
M3 - Conference contribution
AN - SCOPUS:80054875287
SN - 9781457716669
T3 - 2011 IEEE International Conference on Systems Biology, ISB 2011
SP - 41
EP - 46
BT - 2011 IEEE International Conference on Systems Biology, ISB 2011
T2 - 5th IEEE International Conference on Systems Biology, ISB 2011
Y2 - 2 September 2011 through 4 September 2011
ER -