Pathogenesis of axial spondyloarthropathy in a network perspective

Jing Zhao, Jie Chen, Ting Hong Yang, Petter Holme

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Systems Biology, ISB 2011
Pages41-46
Number of pages6
DOIs
StatePublished - Oct 28 2011
Externally publishedYes
Event5th IEEE International Conference on Systems Biology, ISB 2011 - Zhuhai, China
Duration: Sep 2 2011Sep 4 2011

Publication series

Name2011 IEEE International Conference on Systems Biology, ISB 2011

Other

Other5th IEEE International Conference on Systems Biology, ISB 2011
CountryChina
CityZhuhai
Period9/2/119/4/11

Fingerprint

Spondylarthropathies
Genes
Bone
Microarrays
Genetic Databases
Sacroiliac Joint
Bone and Bones
Joint Diseases
Genetic Association Studies
Systems Analysis
Osteogenesis
Proteomics
Proteins
Spine
Chronic Disease
Experiments
Databases
Inflammation

Keywords

  • disease gene
  • microarray expression
  • pathway
  • protein-protein interaction network
  • proteomics
  • spondyloarthropathy

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Zhao, J., Chen, J., Yang, T. H., & Holme, P. (2011). Pathogenesis of axial spondyloarthropathy in a network perspective. In 2011 IEEE International Conference on Systems Biology, ISB 2011 (pp. 41-46). (2011 IEEE International Conference on Systems Biology, ISB 2011). https://doi.org/10.1109/ISB.2011.6033118

Pathogenesis of axial spondyloarthropathy in a network perspective. / Zhao, Jing; Chen, Jie; Yang, Ting Hong; Holme, Petter.

2011 IEEE International Conference on Systems Biology, ISB 2011. 2011. p. 41-46 (2011 IEEE International Conference on Systems Biology, ISB 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhao, J, Chen, J, Yang, TH & Holme, P 2011, Pathogenesis of axial spondyloarthropathy in a network perspective. in 2011 IEEE International Conference on Systems Biology, ISB 2011. 2011 IEEE International Conference on Systems Biology, ISB 2011, pp. 41-46, 5th IEEE International Conference on Systems Biology, ISB 2011, Zhuhai, China, 9/2/11. https://doi.org/10.1109/ISB.2011.6033118
Zhao J, Chen J, Yang TH, Holme P. Pathogenesis of axial spondyloarthropathy in a network perspective. In 2011 IEEE International Conference on Systems Biology, ISB 2011. 2011. p. 41-46. (2011 IEEE International Conference on Systems Biology, ISB 2011). https://doi.org/10.1109/ISB.2011.6033118
Zhao, Jing ; Chen, Jie ; Yang, Ting Hong ; Holme, Petter. / Pathogenesis of axial spondyloarthropathy in a network perspective. 2011 IEEE International Conference on Systems Biology, ISB 2011. 2011. pp. 41-46 (2011 IEEE International Conference on Systems Biology, ISB 2011).
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