• Title of article

    Uncovering Systemic Lupus Erythematosus Candidate Proteomic Biomarkers: A Bioinformatics Approach

  • Author/Authors

    Zamanian Azodi, Mona Proteomics Research Center - Shahid Beheshti University of Medical Sciences , Rezaei Tavirani, Mostafa Proteomics Research Center - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences , Rostami Nejad, Mohammad Research Institute for Gastroenterology and Liver Diseases - Gastroenterology and Liver Diseases Research Center - Shahid Beheshti University of Medical Sciences, Tehran , Arjmand, Babak Cell Therapy and Regenerative Medicine Research Center - Endocrinology and Metabolism Molecular-Cellular Sciences Institute - Tehran University of Medical Sciences , Razzaghi, Mohhamadreza Laser Application in Medical Sciences Research Center - Shahid Beheshti University of Medical Sciences

  • Pages
    9
  • From page
    40
  • To page
    48
  • Abstract
    Background: Molecular analysis of different types of disease could be helpful to understand the mechanisms of the related abnormal functions at that level of disorder. Lupus is not an exception; by using protein-protein interaction network analysis, it is possible to investigate the molecular basis and malfunctions in this kind of disease. Materials and Methods: Thirteen proteins were explored for interaction purposes, and some 12 central proteins were obtained via Cytoscape analysis. Results: Among these proteins, three proteins were from the differentially expressed proteins or reported biomarkers of lupus. These proteins include Haptoglobin (Hp), Apolipoprotein C-III (APOC3), and Apolipoprotein A-I (APOA1). Conclusion: It can be concluded that the biological processes of the central proteins could be part of Lupus's underlying mechanisms. Finally, validation studies are proposed by this current evaluation of the introduced panel of hub biomarkers.
  • Keywords
    Systemic lupus erythematosus , Protein-protein interaction network analysis , Biological process
  • Journal title
    Journal of Cellular and Molecular Anesthesia
  • Serial Year
    2022
  • Record number

    2717122