Proteomic profiling analysis of postmenopausal osteoporosis and osteopenia identifies potential proteins associated with low bone mineral density

PeerJ. 2020 Apr 14:8:e9009. doi: 10.7717/peerj.9009. eCollection 2020.

Abstract

Postmenopausal osteoporosis (PMOP) is a major global public health concern and older women are more susceptible to experiencing fragility fractures. Our study investigated the associations between circulating proteins with bone mineral density (BMD) in postmenopausal women with or without low BMD (osteoporosis and osteopenia) using a tandem mass tag (TMT) labeling proteomic experiment and parallel reaction monitoring testing. Across all plasma samples, we quantitatively measured 1,092 proteins, and the OP and normal control (NC) samples were differentiated by principal component analysis and a partial least squares-discrimination analysis model based on the protein profiling data. The differentially abundant proteins between the low BMD and NC samples mostly exhibited binding, molecular function regulator, transporter and molecular transducer activity, and were involved in metabolic and cellular processes, stimulus response, biological regulation, immune system processes and so forth. TMT analysis and RRM validation indicated that the expression of protein Lysozyme C (P61626) was negatively related to BMD, while the expression of proteins Glucosidase (A0A024R592) and Protein disulfideisomerase A5 (Q14554) was positively related to BMD values. Collectively, our results suggest that postmenopausal women with low BMD have a different proteomic profile or signature. Protein alterations may play an important role in the pathogenesis of PMOP, and they may act as novel biomarkers and targets of therapeutic agents for this disease.

Keywords: Bone mineral density; Diagnostic biomarkers; PRM; Postmenopausal osteoporosis; Proteomics; TMT; Therapeutic targets.

Grants and funding

This work was supported by the National Natural Science Foundation of China (No. 81702067), the Natural Science Foundation of Shaanxi Province (No. 2017JQ8041 and 2019JQ-978), and the Young Talents Supporting Project of Xi’an Association for Science and Technology (2019). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.