Analysis of Micro-RNA-144 Expression Profile in Patients with Multiple Sclerosis in Comparison with Healthy Individuals

Roshani, Fatemeh; Kasmaee, Hossien Delavar; Falahati, Kowsar; Arabzadeh, Ghazaleh; Moghadam, Atefeh Aohan Forooshan; Sanati, Mohammd Hossein

doi:10.52547/rbmb.10.3.396

Cited by 6 publications

(3 citation statements)

References 37 publications

(29 reference statements)

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“…It was identified as a negative regulator of host response to RNA viruses in mice models (Rosenberger et al, 2017). Hsa-miR-144 was dysregulated in ALS (Liguori et al, 2018;Raheja et al, 2018), PD (Xing et al, 2020;Zago et al, 2022), AD (Cheng et al, 2013), and MS (Roshani et al, 2021).…”

Section: Other Mirnasmentioning

confidence: 99%

Shared miRNA landscapes of COVID-19 and neurodegeneration confirm neuroinflammation as an important overlapping feature

Trampuž

Vogrinc

Goričar

et al. 2023

Front. Mol. Neurosci.

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IntroductionDevelopment and worsening of most common neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, and multiple sclerosis, have been associated with COVID-19 However, the mechanisms associated with neurological symptoms in COVID-19 patients and neurodegenerative sequelae are not clear. The interplay between gene expression and metabolite production in CNS is driven by miRNAs. These small non-coding molecules are dysregulated in most common neurodegenerative diseases and COVID-19.MethodsWe have performed a thorough literature screening and database mining to search for shared miRNA landscapes of SARS-CoV-2 infection and neurodegeneration. Differentially expressed miRNAs in COVID-19 patients were searched using PubMed, while differentially expressed miRNAs in patients with five most common neurodegenerative diseases (Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, amyotrophic lateral sclerosis, and multiple sclerosis) were searched using the Human microRNA Disease Database. Target genes of the overlapping miRNAs, identified with the miRTarBase, were used for the pathway enrichment analysis performed with Kyoto Encyclopedia of Genes and Genomes and Reactome.ResultsIn total, 98 common miRNAs were found. Additionally, two of them (hsa-miR-34a and hsa-miR-132) were highlighted as promising biomarkers of neurodegeneration, as they are dysregulated in all five most common neurodegenerative diseases and COVID-19. Additionally, hsa-miR-155 was upregulated in four COVID-19 studies and found to be dysregulated in neurodegeneration processes as well. Screening for miRNA targets identified 746 unique genes with strong evidence for interaction. Target enrichment analysis highlighted most significant KEGG and Reactome pathways being involved in signaling, cancer, transcription and infection. However, the more specific identified pathways confirmed neuroinflammation as being the most important shared feature.DiscussionOur pathway based approach has identified overlapping miRNAs in COVID-19 and neurodegenerative diseases that may have a valuable potential for neurodegeneration prediction in COVID-19 patients. Additionally, identified miRNAs can be further explored as potential drug targets or agents to modify signaling in shared pathways.Graphical AbstractShared miRNA molecules among the five investigated neurodegenerative diseases and COVID-19 were identified. The two overlapping miRNAs, hsa-miR-34a and has-miR-132, present potential biomarkers of neurodegenerative sequelae after COVID-19. Furthermore, 98 common miRNAs between all five neurodegenerative diseases together and COVID-19 were identified. A KEGG and Reactome pathway enrichment analyses was performed on the list of shared miRNA target genes and finally top 20 pathways were evaluated for their potential for identification of new drug targets. A common feature of identified overlapping miRNAs and pathways is neuroinflammation. AD, Alzheimer’s disease; ALS, amyotrophic lateral sclerosis; COVID-19, coronavirus disease 2019; HD, Huntington’s disease; KEGG, Kyoto Encyclopedia of Genes and Genomes; MS, multiple sclerosis; PD, Parkinson’s disease.

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Section: Other Mirnasmentioning

confidence: 99%

Shared miRNA landscapes of COVID-19 and neurodegeneration confirm neuroinflammation as an important overlapping feature

Trampuž

Vogrinc

Goričar

et al. 2023

Front. Mol. Neurosci.

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“…The expressions of miR-132-5p, miR-138-5p, and miR-129-5p are reduced in the brain of Alzheimer’s disease (AD) patients ( Dobricic et al, 2022 ). MIR-144 expression is significantly increased in Multiple Sclerosis (MS) patients ( Roshani et al, 2021 ). miR-181 can be a potential biomarker for the prognosis of amyotrophic lateral sclerosis (ALS).…”

Section: Rna Interferencementioning

confidence: 99%

Combinational treatments of RNA interference and extracellular vesicles in the spinocerebellar ataxia

Ding

Zhang

Liu

2022

Front. Mol. Neurosci.

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Spinocerebellar ataxia (SCA) is an autosomal dominant neurodegenerative disease (ND) with a high mortality rate. Symptomatic treatment is the only clinically adopted treatment. However, it has poor effect and serious complications. Traditional diagnostic methods [such as magnetic resonance imaging (MRI)] have drawbacks. Presently, the superiority of RNA interference (RNAi) and extracellular vesicles (EVs) in improving SCA has attracted extensive attention. Both can serve as the potential biomarkers for the diagnosing and monitoring disease progression. Herein, we analyzed the basis and prospect of therapies for SCA. Meanwhile, we elaborated the development and application of miRNAs, siRNAs, shRNAs, and EVs in the diagnosis and treatment of SCA. We propose the combination of RNAi and EVs to avoid the adverse factors of their respective treatment and maximize the benefits of treatment through the technology of EVs loaded with RNA. Obviously, the combinational therapy of RNAi and EVs may more accurately diagnose and cure SCA.

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“…Usually, the comparison of miRNA expression is made between MS patients and healthy controls, without separating the stages of the disease (Sohan Forooshan Moghadam et al ., 2020). A few studies have studied the relapsing-remitting phases of RRMS (Irizar et al ., 2014; Keller et al ., 2009).…”

Section: Introductionmentioning

confidence: 99%

Multiple Sclerosis Stages and their Differentially Expressed Genes: A Bioinformatics Analysis

Alaya,

Baraket,

Adediran

et al. 2024

Preprint

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Multiple Sclerosis (MS) is an inflammatory, chronic, autoimmune, and demyelinating disease of the central nervous system. MS is a heterogeneous disease with three main clinical forms, affecting the progression and therefore the treatment of the disease. Thus, finding key genes and microRNAs (miRNA) associated with MS stages and analyzing their interactions is important to better understand the molecular mechanism underlying the occurrence and the evolution of MS. Based on publicly available datasets of mRNA and miRNA expression profiles, differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) between patients with different stages of MS and healthy controls and between relapsing and remitting phases of RRMS were determined using Deseq2 and GEO2R tools. We then analyzed miRNA-mRNA regulatory interactions and gene ontology for the DEGs.Based on miRNA-mRNA regulatory interactions, we identified potential biomarkers of RRMS, 13 upregulated miRNA regulators of 30 downregulated genes and 17 downregulated miRNA regulators of 32 upregulated genes. We also identified 9 downregulated miRNA regulators of 12 upregulated genes as potential biomarkers of SPMS.Our study findings highlight some key protein-coding genes and miRNAs that are involved in the occurrence and evolution of MS.

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Analysis of Micro-RNA-144 Expression Profile in Patients with Multiple Sclerosis in Comparison with Healthy Individuals

Cited by 6 publications

References 37 publications

Shared miRNA landscapes of COVID-19 and neurodegeneration confirm neuroinflammation as an important overlapping feature

Shared miRNA landscapes of COVID-19 and neurodegeneration confirm neuroinflammation as an important overlapping feature

Combinational treatments of RNA interference and extracellular vesicles in the spinocerebellar ataxia

Multiple Sclerosis Stages and their Differentially Expressed Genes: A Bioinformatics Analysis

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