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Identification of aberrant circulating miRNAs in Parkinson's disease plasma samples

OBJECTIVE: To detect the aberrant expression of circulating miRNAs and explore the potential early diagnostic biomarkers in patients with Parkinson's disease (PD). METHODS: Plasma samples were collected from 25 treatment‐naïve PD‐diagnosed patients and 25 healthy controls followed by a real‐tim...

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Autores principales: Chen, Lei, Yang, Junxiu, Lü, Jinhui, Cao, Shanshan, Zhao, Qian, Yu, Zuoren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893342/
https://www.ncbi.nlm.nih.gov/pubmed/29670823
http://dx.doi.org/10.1002/brb3.941
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author Chen, Lei
Yang, Junxiu
Lü, Jinhui
Cao, Shanshan
Zhao, Qian
Yu, Zuoren
author_facet Chen, Lei
Yang, Junxiu
Lü, Jinhui
Cao, Shanshan
Zhao, Qian
Yu, Zuoren
author_sort Chen, Lei
collection PubMed
description OBJECTIVE: To detect the aberrant expression of circulating miRNAs and explore the potential early diagnostic biomarkers in patients with Parkinson's disease (PD). METHODS: Plasma samples were collected from 25 treatment‐naïve PD‐diagnosed patients and 25 healthy controls followed by a real‐time PCR‐based miRNA screening analysis of neuron disease‐related miRNAs. RESULTS: A subset of miRNAs with aberrant expression levels in the plasma of PD‐diagnosed patients were identified including upregulation of miR‐27a and downregulation of let‐7a, let‐7f, miR‐142‐3p, and miR‐222 with the AUC values more than 0.8 derived from the receiver operating characteristic curves. CONCLUSIONS: The high sensitivity and specificity of the circulating miRNAs may enable early diagnosis of PD. The study provides a group of novel miRNA candidates for detecting PD.
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spelling pubmed-58933422018-04-18 Identification of aberrant circulating miRNAs in Parkinson's disease plasma samples Chen, Lei Yang, Junxiu Lü, Jinhui Cao, Shanshan Zhao, Qian Yu, Zuoren Brain Behav Original Research OBJECTIVE: To detect the aberrant expression of circulating miRNAs and explore the potential early diagnostic biomarkers in patients with Parkinson's disease (PD). METHODS: Plasma samples were collected from 25 treatment‐naïve PD‐diagnosed patients and 25 healthy controls followed by a real‐time PCR‐based miRNA screening analysis of neuron disease‐related miRNAs. RESULTS: A subset of miRNAs with aberrant expression levels in the plasma of PD‐diagnosed patients were identified including upregulation of miR‐27a and downregulation of let‐7a, let‐7f, miR‐142‐3p, and miR‐222 with the AUC values more than 0.8 derived from the receiver operating characteristic curves. CONCLUSIONS: The high sensitivity and specificity of the circulating miRNAs may enable early diagnosis of PD. The study provides a group of novel miRNA candidates for detecting PD. John Wiley and Sons Inc. 2018-02-19 /pmc/articles/PMC5893342/ /pubmed/29670823 http://dx.doi.org/10.1002/brb3.941 Text en © 2018 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Chen, Lei
Yang, Junxiu
Lü, Jinhui
Cao, Shanshan
Zhao, Qian
Yu, Zuoren
Identification of aberrant circulating miRNAs in Parkinson's disease plasma samples
title Identification of aberrant circulating miRNAs in Parkinson's disease plasma samples
title_full Identification of aberrant circulating miRNAs in Parkinson's disease plasma samples
title_fullStr Identification of aberrant circulating miRNAs in Parkinson's disease plasma samples
title_full_unstemmed Identification of aberrant circulating miRNAs in Parkinson's disease plasma samples
title_short Identification of aberrant circulating miRNAs in Parkinson's disease plasma samples
title_sort identification of aberrant circulating mirnas in parkinson's disease plasma samples
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893342/
https://www.ncbi.nlm.nih.gov/pubmed/29670823
http://dx.doi.org/10.1002/brb3.941
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