• The importance of human bodifluids in proteomic biomarker detection in multiple sclerosis RRMS patients.
  • Nima Naseri,1,*
    1. Department of Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran


  • Introduction: Multiple sclerosis is a chronic inflammatory-autoimmune disease in the central nervous system, which is associated with inflammatory demyelination in the focal areas of axons. Among the different phenotypes of patients with MS, the relapsing-remitting MS phenotype is known as the most common phenotype in MS patients, which is associated with blood-brain barrier disorder and inflammation and recurrence of nerve attacks in the phase (Relapse) is compared to the improvement phase of attacks (Remission). For this reason, the two phases of Relapse and Remission show a very different course and progress compared to each other. Despite advances in MS diagnostic criteria such as Magnetic Resonance Imaging (MRI) and the evaluation of immunoglobulin G (IgG) in cerebrospinal fluid (CSF), which are known as the gold standards in the diagnosis of MS, the low specificity of MRI and other tests.
  • Methods: We selected the characteristic proteomics and multiple sclerosis keywords from Mesh in NCBI. Then we searched proteomics and multiple sclerosis in Scopus and PubMed databases to publish a specific subject about the importance of human body fluids and MS. In the following, the gained and related articles are summarized and discussed.
  • Results: Diagnostic problems in the diagnosis, prediction of progression, and relapse of MS disease, and the heterogeneous and unpredictable course and progression of RRMS etiopathology have faced a severe challenge in the diagnosis and prognosis of recurrence of neurological attacks in this disease.
  • Conclusion: This doubles the identification of efficient biomarkers involved in the pathogenesis of neurological attacks with high specificity and sensitivity by proteomic analysis of clinical samples in RRMS patients.
  • Keywords: Proteomics, Multiple Sclerosis, RRMS