MiR-150, MiR-155, NFL, and YKL-40 as Potential Biomarkers among Egyptian Multiple Sclerosis Patients

Document Type : Original Article

Authors

1 Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Assiut University, Assiut, Egypt.

2 Department of Neurology, Faculty of Medicine, Assiut University, Assiut, Egypt.

3 Chemistry Department, Faculty of Science, Assiut University, Assiut, Egypt.

Abstract

Background And Objectives: Multiple sclerosis (MS) is a disabling neurodegenerative disease. Diagnosis of MS is often difficult, and the currently used biomarkers are not well correlated with the disease due to diverse phenotypes. So, blood-derived biomarkers that can identify and discriminate MS phenotypes detecting progression may be fortunate.
Methods: Expression levels of miR-150 andmiR-155 by qRT-PCR, NFL, and YKL-40 levels by ELISA were all evaluated in the serum of 30 MS patients (23 RRMS and 7 SPMS) and 30 HCs, pairwise comparison between groups and correlation with EDSS were conducted. ROC curve analysis was carried out to examine the diagnostic and discriminative potential of the biomarkers.
Results: Levels of the assayed biomarkers were significantly increased in whole MS patients, RRMS, and SPMS patients compared to HCs with high diagnostic accuracy by ROC curve analysis. Regarding comparing RRMS vs SPMS, only the NFL showed differential levels.
Single biomarker analysis by the ROC curve showed that NFL, miR-155, and YKL-40 are potential discriminative biomarkers with the best performance for the NFL.
Combined biomarker investigation showed that adding YKL-40 alone or combined YKL-40 and miR-155 to NFL increased the specificity. In addition, adding miR-150 to NFL decreased the sensitivity of NFL alone but increased its specificity.
MiR-155 and NFL were correlated with EDSS in the whole MS group. MiR-150, miR-155, and YKL-40 showed a correlation in SPMS.
Conclusion: Serum biomarkers miR-150, miR-155, NFL, and YKL-40 may be potential biomarkers in MS diagnosis, discriminating MS subtypes.

Keywords

Files

Share

How to cite

Statistics