Competing endogenous rna networks as biomarkers in neurodegenerative diseases

Moreno-García, L. (Universidad de Zaragoza) ; López-Royo, T. (Universidad de Zaragoza) ; Calvo, A.C. (Universidad de Zaragoza) ; Toivonen, J.M. (Universidad de Zaragoza) ; de la Torre, M. (Universidad de Zaragoza) ; Moreno-Martínez, L. ; Molina, N. ; Aparicio, P. ; Zaragoza, P. (Universidad de Zaragoza) ; Manzano, R. (Universidad de Zaragoza) ; Osta, R. (Universidad de Zaragoza)
Competing endogenous rna networks as biomarkers in neurodegenerative diseases
Resumen: 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.
Idioma: Inglés
DOI: 10.3390/ijms21249582
Año: 2020
Publicado en: International Journal of Molecular Sciences 21, 24 (2020), 9582 [1-42]
ISSN: 1661-6596

Factor impacto JCR: 5.923 (2020)
Categ. JCR: BIOCHEMISTRY & MOLECULAR BIOLOGY rank: 67 / 297 = 0.226 (2020) - Q1 - T1
Categ. JCR: CHEMISTRY, MULTIDISCIPLINARY rank: 49 / 178 = 0.275 (2020) - Q2 - T1

Factor impacto SCIMAGO: 1.455 - Catalysis (Q1) - Computer Science Applications (Q1) - Inorganic Chemistry (Q1) - Spectroscopy (Q1) - Molecular Biology (Q1) - Organic Chemistry (Q1) - Physical and Theoretical Chemistry (Q1) - Medicine (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/Una manera de hacer Europa
Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/Departamento de Industria e Innovación
Financiación: info:eu-repo/grantAgreement/ES/DGA/Grupos Consolidados
Financiación: info:eu-repo/grantAgreement/ES/FIS-FEDER/PI17-00949
Financiación: info:eu-repo/grantAgreement/ES/MCIU/Gobierno de España
Tipo y forma: Review (Published version)
Área (Departamento): Área Genética (Dpto. Anatom.,Embri.Genét.Ani.)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

Exportado de SIDERAL (2021-09-30-08:27:40)

Este artículo se encuentra en las siguientes colecciones:

 Record created 2021-01-14, last modified 2021-09-30

Versión publicada:
Rate this document:

Rate this document:
(Not yet reviewed)