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Reduced expression of membrane-bound (m)RAGE is a biomarker of multiple sclerosis disease progression

  • SUNY Buffalo
  • Roswell Park Cancer Institute

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Objectives This study is one in series measuring RAGE axis (receptor for advanced glycation end products, its isoforms, and ligands) as a biomarker in multiple sclerosis (MS). We identified and quantified membrane-bound RAGE (mRAGE) expression levels on freshly isolated PBMCs and its subpopulation (monocytes and T cells), and determined the relationship between mRAGE expression levels and MS disease severity. Materials and methods mRAGE expression was determined for 28 MS patients and 16HCs, by flow cytometry, using fluorochrome unconjugated primary RAGE monoclonal antibody and a polyclonal secondary antibody conjugated to R-Phycoerythrin (PE). Results After adjusting for multiple comparisons and correcting for group differences in age and gender, MS patients showed higher percentages of mRAGE-positive on PBMCs (12.4 ± 2.1 vs. 4.08 ± 0.8, P = 0.02), monocytes (37.4 ± 5.8 vs. 20.1 ± 5.0, P = 0.08) and T cells (4.1 ± 1.2 vs. 2.1 ± 0.3, P = 0.05). SPMS patients’ showed lower percentages of RAGE-positive monocytes (13.7 ± 5.5 vs. 49.5 ± 6.6, P = 0.0006) and RAGE-positive T cells (4.1 ± 1.8 vs. 6.6 ± 1.5, P = 0.04) than RRMS patients. We observed a negative relationship between the percentages of mRAGE-positive PBMCs and MS severity scale (MSSS) (r = −0.39, P = 0.04), monocytes and EDSS (r = −0.48, P = 0.01), monocytes and MSSS (r = −0.58, P = 0.001), and T cells and MSSS (r = −0.40, P = 0.04). Monocytes expression of mRAGE showed 0.811 area under the curve (95% CI: 0.64–0.98) sensitivity/specificity for MSSS. Conclusion The reduced mRAGE expression on PBMCs in general, and on monocytes in particular, can be used as biomarker of MS disease severity and progression.

Original languageEnglish
Pages (from-to)193-198
Number of pages6
JournalImmunobiology
Volume221
Issue number2
DOIs
StatePublished - Feb 1 2016

Keywords

  • Advanced glycation
  • Biomarker
  • Cell surface expression
  • Disease severity
  • Flow cytometry
  • Mononuclear cells

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