Skip to content
2000
Volume 18, Issue 4
  • ISSN: 1570-1646
  • E-ISSN: 1875-6247

Abstract

Objective: Osteoporosis (OP) is mainly characterized by low Bone Mineral Density (BMD) and microarchitectural deterioration of bone tissue. We performed label-free quantitative proteomics to discover novel proteins involved in the pathogenesis of osteoporosis. Methods: We employed an extreme sampling study design to collect subjects with low BMD (Z-score<- 1.30±0.47) and high BMD (Z-score>1.06±0.49). Liquid Chromatography and Mass Spectrometry (LC-MS) technologies were used to identify Peripheral Blood Monocyte (PBM)-expressed proteins significant for OP in Chinese elderly women (Study Sample 1) and men (Study Sample 2), respectively. Results: A total of 131 Differentially Expressed Proteins (DEPs) and 200 DEPs were identified in subjects with low vs. high BMD from the study samples 1 and 2, respectively. Interestingly, three DEPs (WNK1, SHTN1, and DPM1) were significantly and consistently regulated with BMD in both genders. GO analysis showed that these DEPs were significantly enriched in “extracellular exosome”, “protein binding” and “cell-cell adherens junction” (p < 0.05). Pathway enrichment results showed that these DEPs were significantly enriched in “protein ubiquitination”, “ER-Phagosome pathway” and “antigen processing” (p < 0.05). Protein-Protein Interaction (PPI) networks were constructed, pointing out key node proteins, including HSPA8, PKM, AKT1, and ABI1. Mining data from independent -omics studies highlighted that 174 DEPs, as identified from above, were significant for OP in Caucasians as well, including WNK1 and DPM1. Conclusion: The study identified known and novel proteins significant for OP in both genders and/or across ethnicities in both Chinese and Caucasians. Our findings may provide clues for further research on the underlying pathogenic mechanism of OP.

Loading

Article metrics loading...

/content/journals/cp/10.2174/1570164617999201124205339
2021-08-01
2025-06-21
Loading full text...

Full text loading...

/content/journals/cp/10.2174/1570164617999201124205339
Loading

  • Article Type:
    Research Article
Keyword(s): bioinformatics analysis; BMD; bone metabolism; OP; PBM; proteomics
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test