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Pathogenesis of Axial Spondyloarthropathy in a Network Perspective
Logistical Engineering University.
University of Missouri Kansas City.
Logistical Engineering University.
Umeå University, Faculty of Science and Technology, Department of Physics. (Icelab)ORCID iD: 0000-0003-2156-1096
2011 (English)In: IEEE Conference on Systems Biology (ISB) / [ed] Luonan Chen, Xiang-Sun Zhang, Ling-Yun Wu, Yong Wang, IEEE Publishing , 2011, 41-46 p.Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE Publishing , 2011. 41-46 p.
Keyword [en]
spondyloarthropathy, disease gene, protein-protein interaction network, pathway, microarray expression, proteomics
National Category
Bioinformatics (Computational Biology)
URN: urn:nbn:se:umu:diva-47279ISBN: 978-1-4577-1666-9OAI: diva2:441949
IEEE Conference on Systems Biology (ISB), Zhuhai, China, September 2–4, 2011
Swedish Research Council, 621-2009-3536
Available from: 2011-09-23 Created: 2011-09-20 Last updated: 2013-09-06Bibliographically approved

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