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Competing Endogenous RNA Networks as Biomarkers in Neurodegenerative Diseases

期刊

出版社

MDPI
DOI: 10.3390/ijms21249582

关键词

competing endogenous RNAs (ceRNA); neurodegenerative diseases (NDDs); extracellular; circulating biomarkers; microRNA; long non-coding RNA; circular RNA; pseudogene; mRNA; ceRNA network (ceRNET); RNA editing

资金

  1. Instituto de Salud Carlos III [PI17/00949]
  2. Fondo Europeo de Desarrollo Regional (FEDER) Una manera de hacer Europa from the European Union
  3. Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas [CIBERNED-612-CB18/05/00037]
  4. Gobierno de Aragon
  5. Departamento de Industria e Innovacion from Gobierno de Aragon
  6. Fondo Social Europeo
  7. Ministerio de Universidades from Gobierno de Espana

向作者/读者索取更多资源

Protein aggregation is classically considered the main cause of neuronal death in neurodegenerative diseases (NDDs). However, increasing evidence suggests that alteration of RNA metabolism is a key factor in the etiopathogenesis of these complex disorders. Non-coding RNAs are the major contributor to the human transcriptome and are particularly abundant in the central nervous system, where they have been proposed to be involved in the onset and development of NDDs. Interestingly, some ncRNAs (such as lncRNAs, circRNAs and pseudogenes) share a common functionality in their ability to regulate gene expression by modulating miRNAs in a phenomenon known as the competing endogenous RNA mechanism. Moreover, ncRNAs are found in body fluids where their presence and concentration could serve as potential non-invasive biomarkers of NDDs. In this review, we summarize the ceRNA networks described in Alzheimer's disease, Parkinson's disease, multiple sclerosis, amyotrophic lateral sclerosis and spinocerebellar ataxia type 7, and discuss their potential as biomarkers of these NDDs. Although numerous studies have been carried out, further research is needed to validate these complex interactions between RNAs and the alterations in RNA editing that could provide specific ceRNET profiles for neurodegenerative disorders, paving the way to a better understanding of these diseases.

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