Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2017, Article ID 8589347, 8 pages
Research Article

Screening for Key Pathways Associated with the Development of Osteoporosis by Bioinformatics Analysis

1Department of Geriatric Medicine, Jining No. 1 People’s Hospital, Jining, Shandong 272011, China
2Department of Joint Branch, Jining No. 2 People’s Hospital, Jining, Shandong 272000, China
3Department of Public Health, Jining Psychiatric Hospital, Jining, Shandong 272000, China
4Department of Prevention and Health, Center for Disease Control and Prevention of Jining City, Jining, Shandong 272000, China
5Department of Spine Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China
6Department of Orthopedics, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong 250014, China

Correspondence should be addressed to Bohua Chen; moc.liamtoh@7331auhobnehc and Guyou Jia; moc.liamtoh@4531uoyugaij

Received 21 October 2016; Revised 13 January 2017; Accepted 26 January 2017; Published 30 March 2017

Academic Editor: Shinji Kuroda

Copyright © 2017 Yanqing Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objectives. We aimed to find the key pathways associated with the development of osteoporosis. Methods. We downloaded expression profile data of GSE35959 and analyzed the differentially expressed genes (DEGs) in 3 comparison groups (old_op versus middle, old_op versus old, and old_op versus senescent). KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses were carried out. Besides, Venn diagram analysis and gene functional interaction (FI) network analysis were performed. Results. Totally 520 DEGs, 966 DEGs, and 709 DEGs were obtained in old_op versus middle, old_op versus old, and old_op versus senescent groups, respectively. Lysosome pathway was the significantly enriched pathways enriched by intersection genes. The pathways enriched by subnetwork modules suggested that mitotic metaphase and anaphase and signaling by Rho GTPases in module 1 had more proteins from module. Conclusions. Lysosome pathway, mitotic metaphase and anaphase, and signaling by Rho GTPases may be involved in the development of osteoporosis. Furthermore, Rho GTPases may regulate the balance of bone resorption and bone formation via controlling osteoclast and osteoblast. These 3 pathways may be regarded as the treatment targets for osteoporosis.