Investigating the Role of MicroRNA and Transcription Factor Co-regulatory Networks in Multiple Sclerosis Pathogenesis.
Nicoletta NuzzielloLaura VilardoParide PelucchiArianna ConsiglioSabino LiuniMaria TrojanoMaria LiguoriPublished in: International journal of molecular sciences (2018)
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.
Keyphrases
- multiple sclerosis
- transcription factor
- mass spectrometry
- ms ms
- end stage renal disease
- immune response
- cell proliferation
- newly diagnosed
- ejection fraction
- genome wide
- chronic kidney disease
- oxidative stress
- signaling pathway
- white matter
- genome wide identification
- poor prognosis
- lps induced
- prognostic factors
- randomized controlled trial
- dna methylation
- electronic health record
- patient reported outcomes
- toll like receptor
- artificial intelligence
- bioinformatics analysis