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Genome-Wide Expression Profile in People with Optic Neuritis Associated with Multiple Sclerosis

ORCID
0000-0002-3360-1748
Affiliation
Department of Neurology, Referral Center for Autonomic Nervous System Disorders, University Hospital Centre Zagreb, 10000 Zagreb, Croatia
Habek, Mario;
ORCID
0000-0002-3669-7941
Affiliation
Department for Functional Genomics, Center for Translational and Clinical Research, University of Zagreb School of Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia
Blazekovic, Antonela;
ORCID
0000-0001-5892-7392
Affiliation
Department for Functional Genomics, Center for Translational and Clinical Research, University of Zagreb School of Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia
Gotovac Jercic, Kristina;
Affiliation
Division of Molecular Medicine, Rudjer Bošković Institute, 10002 Zagreb, Croatia
Pivac, Nela;
ORCID
0000-0003-1679-1727
Affiliation
Department of Experimental Neurodegeneration, Centre for Biostructural Imaging of Neurodegeneration, University Medical Centre Göttingen, 37075 Göttingen, Germany
Outero, Tiago Fleming;
ORCID
0000-0002-5178-7929
Affiliation
Department for Functional Genomics, Center for Translational and Clinical Research, University of Zagreb School of Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia
Borovecki, Fran;
Affiliation
Department of Neurology, University Hospital Centre Zagreb, 10000 Zagreb, Croatia
Brinar, Vesna

The aim of this study was to perform a genome-wide expression analysis of whole-blood samples from people with optic neuritis (ON) and to determine differentially expressed mRNAs compared to healthy control subjects. The study included eight people with acute ON and six healthy control subjects. Gene expression was analyzed using DNA microarrays for whole-human-genome analysis, which contain 54,675 25-base pairs. The additional biostatistical analysis included gene ontology analysis and gene set enrichment analysis (GSEA). Quantitative RT-PCR (qPCR) was used to confirm selected differentially expressed genes. In total, 722 differently expressed genes were identified, with 377 exhibiting increased, and 345 decreased, expression. Gene ontology analysis and GSEA revealed that protein phosphorylation and intracellular compartment, apoptosis inhibition, pathways involved in cell cycles, T and B cell functions, and anti-inflammatory central nervous system (CNS) pathways are implicated in ON pathology. qPCR confirmed the differential expression of eight selected genes, with SLPI , CR3 , and ITGA4 exhibiting statistically significant results. In conclusion, whole-blood gene expression analysis showed significant differences in the expression profiles of people with ON compared to healthy control subjects. Additionally, pathways involved in T cell regulation and anti-inflammatory pathways within CNS were identified as important in the early phases of MS.

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