97405 20240104111817.0 doi 10.3390/ijms21249582 sideral 121474 ART-2020-121474 eng Moreno-García, L. Universidad de Zaragoza (orcid)0000-0003-2436-7205 Competing endogenous rna networks as biomarkers in neurodegenerative diseases 2020 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA-FEDER/Una manera de hacer Europa info:eu-repo/grantAgreement/ES/DGA-FSE/Departamento de Industria e Innovación info:eu-repo/grantAgreement/ES/DGA/Grupos Consolidados info:eu-repo/grantAgreement/ES/FIS-FEDER/PI17-00949 info:eu-repo/grantAgreement/ES/MCIU/Gobierno de España info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 5.923 2020 BIOCHEMISTRY & MOLECULAR BIOLOGY 67 / 296 = 0.226 2020 Q1 T1 CHEMISTRY, MULTIDISCIPLINARY 49 / 178 = 0.275 2020 Q2 T1 1.455 2020 Catalysis 2020 Q1 Computer Science Applications 2020 Q1 Inorganic Chemistry 2020 Q1 Spectroscopy 2020 Q1 Molecular Biology 2020 Q1 Organic Chemistry 2020 Q1 Physical and Theoretical Chemistry 2020 Q1 Medicine (miscellaneous) 2020 Q1 info:eu-repo/semantics/review info:eu-repo/semantics/publishedVersion López-Royo, T. Universidad de Zaragoza (orcid)0000-0001-9802-8199 Calvo, A.C. Universidad de Zaragoza (orcid)0000-0001-5193-7782 Toivonen, J.M. Universidad de Zaragoza (orcid)0000-0002-7243-1737 de la Torre, M. Universidad de Zaragoza (orcid)0000-0002-7955-7164 Moreno-Martínez, L. (orcid)0000-0002-7277-4318 Molina, N. Aparicio, P. (orcid)0000-0001-5612-0253 Zaragoza, P. Universidad de Zaragoza (orcid)0000-0001-5740-0185 Manzano, R. Universidad de Zaragoza (orcid)0000-0002-7477-8742 Osta, R. Universidad de Zaragoza (orcid)0000-0001-5687-6704 1001 420 Universidad de Zaragoza Dpto. Anatom.,Embri.Genét.Ani. Área Genética 21, 24 (2020), 9582 [1-42 pp.] Int. j. mol. sci. International Journal of Molecular Sciences 1661-6596 710868 http://zaguan.unizar.es/record/97405/files/texto_completo.pdf Versión publicada 462722 http://zaguan.unizar.es/record/97405/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:97405 articulos driver 2024-01-04-11:05:28 ARTICLE