MicroRNA-7188-5p and miR-7235 regulates Multiple sclerosis in an experimental mouse model
Graphical abstract
Introduction
Multiple sclerosis (MS) is a neurological autoimmune disease characterized by infiltration of T lymphocytes and macrophages into the central nervous system (CNS) that leading to multifocal areas of demyelination in the CNS and microglial mediated pathological conditions (Prineas et al., 2001; Macrez et al., 2016). Clinically, MS patients showed a variable pattern of relapsing remittance and intermittent inflammatory exacerbations. Markers for diagnosing MS are usually a proteins or specific antibodies such as chemokines, glycoproteins, IgG and IgM antibodies, and cell surface markers of inflammation (Harris et al., 2017). However, these biomarkers are not well-correlated with the disease course of MS (Martinez and Peplow, 2020)), indicating an urgent need in developing and validating biomarkers that correlate MS using different detection methods (Ziemssen et al., 2019).
Although the pathological events of MS are well-established, the epigenetic involvement in the pathogenesis of MS is still not completely understood (Orefice et al., 2020; Compston and Coles, 2008; Huang et al., 2017). miRNAs, a class of non-coding single-stranded RNA, is 19–24 nucleotides that regulate post-transcriptional modulation in the host genome. MiRNA could interact to 3′ untranslated region (UTR), or rarely 5′ UTRs, of mRNA transcripts, which made perfect and imperfect complementary binding, leads to redundant translational inhibition of mRNA targets (Bartel, 2009; Thomson et al., 2011; Wang and Chen, 2019; Mycko and Baranzini, 2020). Besides, the computational approach in the identification of novel and disease-related miRNA has been considered as a reliable and cost-effective tool (Saravanan et al., 2015; Thirugnanasambantham et al., 2013, 2015), that reflect the progression of the disease in clinical samples (Chen et al., 2018a). Strategies such as qPCR, next-generation sequencing (NGS), and microarray analysis has been utilized to analyze the miRNA expression pattern in various body fluids, such as blood, serum, plasma, cerebrospinal fluid (CSF), and urine in MS patients (Venkatesha et al., 2018). The levels of miRNAs are significantly altered in clinical fluids with MS progression and in responses to treatment (Zhang et al., 2014, 2015; Naghavian et al., 2015; Jagot and Davoust, 2016). These researches implicate miRNAs are promising biomarkers in the MS autoimmune diseases, and studying the role of miRNAs in MS has attracted attention in recent years (Mycko and Baranzini, 2020)
Similar to clinical samples, dysregulated miRNA expression is noticed in the experimental autoimmune encephalomyelitis (EAE) animal model, a well-characterized experimental model for the human MS disease, that exhibited CNS inflammation and pathological features of MS including ascending paralysis and motor neuron damage and death (Bannerman et al., 2005; Vogt et al., 2009). Typically, the EAE model is induced through active immunization with myelin-derived proteins or peptides (e.g., myelin oligodendrocyte glycoprotein (MOG) in an adjuvant to sensitize the T cells in the peripheral lymphoid tissue (Farooqi et al., 2010). Moreover, in vivo injection of the lipopolysaccharides (LPS) induces EAE in T cell receptor (TCR) transgenic mice and relapse of encephalomyelitis in normal mice (Chen et al., 2018b). Recent reports also identified miR-155 as a key regulator of these inflammatory responses, in mice which resulted in a decrease in Th1 and Th17 cellular differentiation in the CNS as well as peripheral lymphoid organs. However, animal models for MS can produce chronic inflammatory events, the in vivo approach for studying miRNAs role in neuronal degeneration and regeneration is still lacking. In this study, we aim to fill this knowledge gap. Here, we applied a bioinformatics approach to recognize a new set of miRNAs that correlate with MS progression and quantified the expression levels of identified miRNAs and their targets in the EAE/MS disease mice model.
Section snippets
Collection of reference miRNA and EST sequences
Expressed Sequence Tags (EST) related to MS was used for the identification of miRNAs (Fig. 1) as reported earlier (Mycko and Baranzini, 2020). The above EST sequences (15,042 ESTs as of December 2018) were extracted from NCBI using the search term “Multiple sclerosis”. The published pre-miRNA (38589 as of December 2018) and mature miRNA (48885 as of December 2018) were retrieved from the miRBase and used as reference sequence (http://www.mirbase.org/). After eliminating redundant and poor
Computational identification of miRNAs and their targets
A total of 15,094 ESTs from multiple sclerosis samples were retrieved from NCBI and then used for the prediction of miRNAs associated with MS. After careful evaluation of fewer than four mismatches among the mature, premature miRNAs and the respective matched EST sequences and secondary structure analysis, 11 miRNA candidates were proposed to be differentially expressed under multiple sclerosis conditions (Fig. 1A–B). Details of the predicted miRNAs are shown in Table T1. Among these 11 miRNAs
Discussion
In the present study, we suggested a promising set of miRNAs as potential biomarkers of MS using the EAE mouse model. None of these identified miRNAs has been reported before in the MS disease progression using the computational approach. Here, we stated hsa_miR-684, hsa_miR-7188-3P, and hsa_miR-7188-5P for the first time in humans as novel inflammation-related miRNAs and found new inflammatory target genes of these promising biomarkers.
The current EAE model displayed the pathological
Authors’ contribution
HI participated in research design, performed the experiments and wrote the manuscript. AA assisted with research design and experimental troubleshoots. HH participated equally with HI for research design and experimental troubleshoots. EA participated in manuscript preparations. KT participated in research design, computational analysis and contributed to the writing of the manuscript. All authors read and approved the final manuscript.
Declaration of Competing Interest
The authors report no declarations of interest.
Acknowledgement
The Deanship of Scientific Research, King Faisal University through grants number 170062 to HI, funded this work.
References (54)
- et al.
Basic local alignment search tool
J. Mol. Biol.
(1990) MicroRNAs: target recognition and regulatory functions
Cell
(2009)- et al.
Expression and localization of myosin-1d in the developing nervous system
Brain Res.
(2012) - et al.
Multiple sclerosis
Lancet
(2008) - et al.
Macrophages: a double-edged sword in experimental autoimmune encephalomyelitis
Immunol. Lett.
(2014) - et al.
Prediction of mammalian microRNA targets
Cell
(2003) - et al.
Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets
Cell
(2005) - et al.
Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method
Methods
(2001) - et al.
Mechanisms of glutamate toxicity in multiple sclerosis: biomarker and therapeutic opportunities
Lancet Neurol.
(2016) - et al.
Mutations in the X-linked intellectual disability gene, zDHHC9, alter autopalmitoylation activity by distinct mechanisms
J. Biol. Chem.
(2014)
Identification of evolutionarily conserved Momordica charantia microRNAs using computational approach and its utility in phylogeny analysis
Comput. Biol. Chem.
MicroRNA-155 modulates Th1 and Th17 cell differentiation and is associated with multiple sclerosis and experimental autoimmune encephalomyelitis
J. Neuroimmunol.
Activation of aryl hydrocarbon receptor signaling by a novel agonist ameliorates autoimmune encephalomyelitis
PLoS One
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Nucleic Acids Res.
Motor neuron pathology in experimental autoimmune encephalomyelitis: studies in THY1-YFP transgenic mice
Brain
Macrophages participate in IL-17-mediated inflammation
Eur. J. Immunol.
Effects of multiple sclerosis disease-modifying therapies on employment measures using patient-reported data
J. Neurol. Neurosurg. Psychiatry
Dysregulated MicroRNA involvement in multiple sclerosis by induction of T helper 17 cell differentiation
Front. Immunology
Enzyme activity of the PIP4K2A gene product polymorphism that is implicated in schizophrenia
Psychopharmacology (Berl.)
miR-684 regulation of neurexophilin-1 and alpha-neurexin expression
J. Neuroimmunol.
Demyelination causes synaptic alterations in hippocampi from multiple sclerosis patients
Ann. Neurol.
Are current disease-modifying therapeutics in multiple sclerosis justified on the basis of studies in experimental autoimmune encephalomyelitis?
J. Neurochem.
Association between the γ-aminobutyric acid A3 receptor gene and multiple sclerosis
Arch. Neurol.
The multiple sclerosis whole blood mRNA transcriptome and genetic associations indicate dysregulation of specific T cell pathways in pathogenesis
Hum. Mol. Genet.
Biomarkers of multiple sclerosis: current findings
Degener. Neurol. Neuromuscul. Dis.
Multiple sclerosis: pathology, diagnosis and treatments
Exp. Ther. Med.
Is it worth considering circulating microRNAs in multiple sclerosis?
Front. Immunol.
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