Serum protein profiles to classify rheumatic diseases


In a recent publication in Journal of Proteome Research antibodies from the Human Protein Atlas was utilized in a microarray format for protein profiling of 960 serum samples within the context of rheumatic diseases.

The aim was to study the protein profiles of serum samples from patients with osteoarthritis (n=480), rheumatoid arthritis (n=192) and psoriatic arthritis (n=288). To achieve this goal, customized antibody microarrays containing 151 antibodies targeting 121 specific proteins were generated.

Altered protein profiles in the three groups of samples were proven substantially higher when compared to healthy control samples. Unsupervised and supervised machine learning approaches allowed the accurate classification of patients in all three categories based on a set of in total 30 different proteins that could be considered as a potential panel to characterize these pathologies.

The publication is a result from a collaboration within the HUPO HPP initiative for Rheumatic and Autoimmune Diseases (RAD-HPP) and performed with researchers at the universities of Salamanca and A Coruña in Spain and researchers at KTH Royal Institute of Technology and SciLifeLab Stockholm, Sweden.

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