Diagnostic and prognostic value of the RUNXOR/RUNX1 axis in multiple sclerosis.

Citation:
Haridy, S. F. A., N. N. Shahin, M. I. Shabayek, M. M. Selim, M. A. Abdelhafez, and T. K. Motawi, "Diagnostic and prognostic value of the RUNXOR/RUNX1 axis in multiple sclerosis.", Neurobiology of disease, vol. 178, pp. 106032, 2023.

Abstract:

The runt-related transcription factor-1 (RUNX1) gene with its lncRNA RUNXOR are recently becoming a research focus in various diseases, specifically immune-related diseases as they are implicated in multiple pathways. Interestingly, their role in multiple sclerosis (MS) remains unstudied. The present study explored the role of RUNXOR/RUNX1 in the development and progression of MS and investigated their possible mechanism of action. We measured the serum expression levels of lncRNA RUNXOR, as well as RUNX1, microtubule associated protein 2 (MAP2), nerve growth factor (NGF) and brain-derived neurotrophic factor (BDNF) mRNAs in 30 healthy controls and 120 MS patients subdivided into 4 groups: 30 clinically isolated syndrome patients, 30 relapsing-remitting MS (RRMS) patients in relapse, 30 RRMS patients in remission and 30 secondary progressive MS patients. Additionally, we measured the serum protein levels of RUNX1, MAP2, NGF, BDNF and interleukin-10 (IL-10). All measured RNA expression levels were markedly downregulated and, consequently, the protein levels of RUNX1, MAP2, NGF, BDNF and IL-10 were significantly decreased in MS patients compared to healthy controls. Moreover, the levels of the measured parameters varied significantly within the MS groups. According to receiver-operating-characteristic (ROC) curve and logistic regression analyses, lncRNA RUNXOR, RUNX1 mRNA and its protein levels were predictors of disease progression, in addition to RUNX1 mRNA exhibiting a diagnostic potential. Altogether, this study suggests the implication of the RUNXOR-RUNX1 axis in MS development, progression, and increased MS-related disability, and highlights the potential utility of the studied parameters as promising diagnostic/prognostic biomarkers for MS.

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