National Research Council, Institute of Biomedical Technologies, Bari Unit, 70126 Bari, Italy.
National Research Council, Institute of Biomedical Technologies, Segrate Unit, 20090 Milan, Italy.
Int J Mol Sci. 2018 Nov 20;19(11):3652. doi: 10.3390/ijms19113652.
MicroRNAs (miRNAs) and transcription factors (TFs) play key roles in complex multifactorial diseases like multiple sclerosis (MS). Starting from the miRNomic profile previously associated with a cohort of pediatric MS (PedMS) patients, we applied a combined molecular and computational approach in order to verify published data in patients with adult-onset MS (AOMS). Six out of the 13 selected miRNAs (miR-320a, miR-125a-5p, miR-652-3p, miR-185-5p, miR-942-5p, miR-25-3p) were significantly upregulated in PedMS and AOMS patients, suggesting that they may be considered circulating biomarkers distinctive of the disease independently from age. A computational and unbiased miRNA-based screening of target genes not necessarily associated to MS was then performed in order to provide an extensive view of the genetic mechanisms underlying the disease. A comprehensive MS-specific miRNA-TF co-regulatory network was hypothesized; among others, SP1, RELA, NF-κB, TP53, AR, MYC, HDAC1, and STAT3 regulated the transcription of 61 targets. Interestingly, NF-κB and STAT3 cooperatively regulate the expression of immune response genes and control the cross-talk between inflammatory and immune cells. Further functional analysis will be performed on the identified critical hubs. Above all, in our view, this approach supports the need of multidisciplinary strategies for shedding light into the pathogenesis of MS.
微小 RNA(miRNA)和转录因子(TF)在多发性硬化症(MS)等复杂多因素疾病中发挥着关键作用。我们从之前与儿科 MS(PedMS)患者队列相关的 miRNA 组学特征开始,应用了一种综合的分子和计算方法,以验证成人发病 MS(AOMS)患者的已发表数据。在 PedMS 和 AOMS 患者中,有 6 个选定的 miRNA(miR-320a、miR-125a-5p、miR-652-3p、miR-185-5p、miR-942-5p、miR-25-3p)显著上调,这表明它们可能被认为是与年龄无关的疾病独特的循环生物标志物。然后,我们进行了基于 miRNA 的无偏靶基因筛选计算,以提供对疾病潜在遗传机制的广泛了解。假设了一个全面的 MS 特异性 miRNA-TF 共调控网络;其中,SP1、RELA、NF-κB、TP53、AR、MYC、HDAC1 和 STAT3 调节 61 个靶基因的转录。有趣的是,NF-κB 和 STAT3 共同调节免疫反应基因的表达,并控制炎症和免疫细胞之间的串扰。将对鉴定出的关键枢纽进行进一步的功能分析。总之,在我们看来,这种方法支持需要采用多学科策略来阐明 MS 的发病机制。