Identification of osteoporosis markers through bioinformatic functional analysis of serum proteome.

ABSTRACT: Osteoporosis is a severe chronic skeletal disorder that increases the risks of disability and mortality; however, the mechanism of this disease and the protein markers for prognosis of osteoporosis have not been well characterized. This study aims to characterize the imbalanced serum proteostasis, the disturbed pathways, and potential serum markers in osteoporosis by using a set of bioinformatic analyses. In the present study, the large-scale proteomics datasets (PXD006464) were adopted from the Proteome Xchange database and processed with MaxQuant. The differentially expressed serum proteins were identified. The biological process and molecular function were analyzed. The protein-protein interactions and subnetwork modules were constructed. The signaling pathways were enriched. We identif

SUBMITTER: Lv M 

PROVIDER: S-EPMC7523818 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature