Loading...
Identification of proteins found to be significantly altered when comparing the serum proteome from Multiple Myeloma patients with varying degrees of bone disease
Dowling, Paul Hayes, Catriona Ting, Kay R Hameed, Abdul Meiller, Justine Mitsiades, Constantine Anderson, Kenneth C Clynes, Martin Clarke, Colin Richardson, Paul
Dowling, Paul
Hayes, Catriona
Ting, Kay R
Hameed, Abdul
Meiller, Justine
Mitsiades, Constantine
Anderson, Kenneth C
Clynes, Martin
Clarke, Colin
Richardson, Paul
Advisors
Editors
Other Contributors
Departments
Date
2014-10-17
Date Submitted
Keywords
BONE DENSITY
Other Subjects
BONE DISEASE
GENOMICS
GENOMICS
Subject Mesh
Planned Date
Start Date
Collaborators
Principal Investigators
Alternative Titles
Publisher
Abstract
Abstract Background Bone destruction is a feature of multiple myeloma, characterised by osteolytic bone destruction due to increased osteoclast activity and suppressed or absent osteoblast activity. Almost all multiple myeloma patients develop osteolytic bone lesions associated with severe and debilitating bone pain, pathologic fractures, hypercalcemia, and spinal cord compression, as well as increased mortality. Biomarkers of bone remodelling are used to identify disease characteristics that can help select the optimal management of patients. However, more accurate biomarkers are needed to effectively mirror the dynamics of bone disease activity. Results A label-free mass spectrometry-based strategy was employed for discovery phase analysis of fractionated patient serum samples associated with no or high bone disease. A number of proteins were identified which were statistically significantly correlated with bone disease, including enzymes, extracellular matrix glycoproteins, and components of the complement system. Conclusions Enzyme-linked immunosorbent assay of complement C4 and serum paraoxonase/arylesterase 1 indicated that these proteins were associated with high bone disease in a larger independent cohort of patient samples. These biomolecules may therefore be clinically useful in assessing the extent of bone disease.
Language
en