Personalized therapy design for systemic lupus erythematosus based on the analysis of protein-protein interaction networks

PLoS One. 2020 Mar 19;15(3):e0226883. doi: 10.1371/journal.pone.0226883. eCollection 2020.


We analyzed protein expression data for Lupus patients, which have been obtained from publicly available databases. A combination of systems biology and statistical thermodynamics approaches was used to extract topological properties of the associated protein-protein interaction networks for each of the 291 patients whose samples were used to provide the molecular data. We have concluded that among the many proteins that appear to play critical roles in this pathology, most of them are either ribosomal proteins, ubiquitination pathway proteins or heat shock proteins. We propose some of the proteins identified in this study to be considered for drug targeting.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • Datasets as Topic
  • Gene Expression Profiling
  • Gene Expression Regulation / drug effects
  • Gene Expression Regulation / immunology
  • Heat-Shock Proteins / antagonists & inhibitors
  • Heat-Shock Proteins / immunology
  • Heat-Shock Proteins / metabolism
  • Humans
  • Lupus Erythematosus, Systemic / drug therapy*
  • Lupus Erythematosus, Systemic / genetics
  • Lupus Erythematosus, Systemic / immunology
  • Precision Medicine / methods*
  • Protein Interaction Maps / drug effects
  • Protein Interaction Maps / immunology*
  • Ribosomal Proteins / antagonists & inhibitors
  • Ribosomal Proteins / immunology
  • Ribosomal Proteins / metabolism
  • Signal Transduction / drug effects
  • Signal Transduction / immunology*
  • Ubiquitination / drug effects


  • Heat-Shock Proteins
  • Ribosomal Proteins

Grants and funding

The authors received no specific funding for this work.