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An investigation of microRNA‐103 and microRNA‐107 as potential blood‐based biomarkers for disease risk and progression of Alzheimer's disease

BACKGROUND: This study aimed to assess the correlation of circulating microRNA‐103 (miR‐103) and microRNA‐107 (miR‐107) with disease risk and cognitive impairment of Alzheimer's disease (AD). METHODS: Plasma samples from 120 AD patients, 120 Parkinson's disease (PD) patients (served as dis...

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Autores principales: Wang, Jie, Chen, Chunyan, Zhang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977154/
https://www.ncbi.nlm.nih.gov/pubmed/31420923
http://dx.doi.org/10.1002/jcla.23006
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author Wang, Jie
Chen, Chunyan
Zhang, Yun
author_facet Wang, Jie
Chen, Chunyan
Zhang, Yun
author_sort Wang, Jie
collection PubMed
description BACKGROUND: This study aimed to assess the correlation of circulating microRNA‐103 (miR‐103) and microRNA‐107 (miR‐107) with disease risk and cognitive impairment of Alzheimer's disease (AD). METHODS: Plasma samples from 120 AD patients, 120 Parkinson's disease (PD) patients (served as disease control), and 120 healthy controls were collected for miR‐103 and miR‐107 detections using real‐time quantitative polymerase chain reaction. Mini‐Mental State Examination (MMSE) score was documented and was used to accordingly assess the dementia severity. RESULTS: miR‐103 expression was decreased in AD patients compared with PD patients and healthy controls, and receiver operating characteristic (ROC) curve analyses illustrated that it was able to differentiate AD patients from PD patients and healthy controls. Additionally, miR‐103 positively correlated with MMSE score and negatively correlated with dementia severity in AD patients. miR‐107 expression was lower in AD patients compared with healthy controls but similar between AD patients and PD patients, and ROC curve analyses revealed that it was able to differentiate AD patients from healthy controls but not AD patients from PD patients. miR‐107 was positively correlated with MMSE score and negatively correlated with dementia severity in AD patients, while the correlation coefficient of miR‐107 with MMSE score was lower than that of miR‐103 with MMSE score. Besides, miR‐103 was positively correlated with miR‐107 in AD patients, PD patients, and healthy controls. CONCLUSION: miR‐103 may be a better choice than miR‐107 to serve as a potential biomarker for disease risk and disease progression of AD.
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spelling pubmed-69771542020-01-28 An investigation of microRNA‐103 and microRNA‐107 as potential blood‐based biomarkers for disease risk and progression of Alzheimer's disease Wang, Jie Chen, Chunyan Zhang, Yun J Clin Lab Anal Research Articles BACKGROUND: This study aimed to assess the correlation of circulating microRNA‐103 (miR‐103) and microRNA‐107 (miR‐107) with disease risk and cognitive impairment of Alzheimer's disease (AD). METHODS: Plasma samples from 120 AD patients, 120 Parkinson's disease (PD) patients (served as disease control), and 120 healthy controls were collected for miR‐103 and miR‐107 detections using real‐time quantitative polymerase chain reaction. Mini‐Mental State Examination (MMSE) score was documented and was used to accordingly assess the dementia severity. RESULTS: miR‐103 expression was decreased in AD patients compared with PD patients and healthy controls, and receiver operating characteristic (ROC) curve analyses illustrated that it was able to differentiate AD patients from PD patients and healthy controls. Additionally, miR‐103 positively correlated with MMSE score and negatively correlated with dementia severity in AD patients. miR‐107 expression was lower in AD patients compared with healthy controls but similar between AD patients and PD patients, and ROC curve analyses revealed that it was able to differentiate AD patients from healthy controls but not AD patients from PD patients. miR‐107 was positively correlated with MMSE score and negatively correlated with dementia severity in AD patients, while the correlation coefficient of miR‐107 with MMSE score was lower than that of miR‐103 with MMSE score. Besides, miR‐103 was positively correlated with miR‐107 in AD patients, PD patients, and healthy controls. CONCLUSION: miR‐103 may be a better choice than miR‐107 to serve as a potential biomarker for disease risk and disease progression of AD. John Wiley and Sons Inc. 2019-08-16 /pmc/articles/PMC6977154/ /pubmed/31420923 http://dx.doi.org/10.1002/jcla.23006 Text en © 2019 The Authors. Journal of Clinical Laboratory Analysis 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 Research Articles
Wang, Jie
Chen, Chunyan
Zhang, Yun
An investigation of microRNA‐103 and microRNA‐107 as potential blood‐based biomarkers for disease risk and progression of Alzheimer's disease
title An investigation of microRNA‐103 and microRNA‐107 as potential blood‐based biomarkers for disease risk and progression of Alzheimer's disease
title_full An investigation of microRNA‐103 and microRNA‐107 as potential blood‐based biomarkers for disease risk and progression of Alzheimer's disease
title_fullStr An investigation of microRNA‐103 and microRNA‐107 as potential blood‐based biomarkers for disease risk and progression of Alzheimer's disease
title_full_unstemmed An investigation of microRNA‐103 and microRNA‐107 as potential blood‐based biomarkers for disease risk and progression of Alzheimer's disease
title_short An investigation of microRNA‐103 and microRNA‐107 as potential blood‐based biomarkers for disease risk and progression of Alzheimer's disease
title_sort investigation of microrna‐103 and microrna‐107 as potential blood‐based biomarkers for disease risk and progression of alzheimer's disease
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977154/
https://www.ncbi.nlm.nih.gov/pubmed/31420923
http://dx.doi.org/10.1002/jcla.23006
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