Habek Mario, Blazekovic Antonela, Gotovac Jercic Kristina, Pivac Nela, Outero Tiago Fleming, Borovecki Fran, Brinar Vesna
Department of Neurology, Referral Center for Autonomic Nervous System Disorders, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.
Department for Functional Genomics, Center for Translational and Clinical Research, University of Zagreb School of Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.
Biomedicines. 2023 Aug 7;11(8):2209. doi: 10.3390/biomedicines11082209.
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 , , and 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.
本研究的目的是对视神经炎(ON)患者的全血样本进行全基因组表达分析,并确定与健康对照受试者相比差异表达的mRNA。该研究纳入了8名急性ON患者和6名健康对照受试者。使用包含54,675个25碱基对的DNA微阵列进行全人类基因组分析以分析基因表达。额外的生物统计学分析包括基因本体分析和基因集富集分析(GSEA)。定量逆转录聚合酶链反应(qPCR)用于确认选定的差异表达基因。总共鉴定出722个差异表达基因,其中377个表达增加,345个表达减少。基因本体分析和GSEA显示,蛋白质磷酸化和细胞内区室、凋亡抑制、细胞周期相关途径、T和B细胞功能以及抗炎中枢神经系统(CNS)途径与ON病理学有关。qPCR证实了8个选定基因的差异表达,其中 、 和 呈现出统计学显著结果。总之,全血基因表达分析显示,与健康对照受试者相比,ON患者的表达谱存在显著差异。此外,参与T细胞调节的途径和CNS内的抗炎途径在MS早期被确定为重要途径。