Literature DB >> 29036818

A 9-microRNA Signature in Serum Serves as a Noninvasive Biomarker in Early Diagnosis of Alzheimer's Disease.

Rui Guo1, Gang Fan1, Jian Zhang1, Chunxiao Wu1, Yifeng Du2, Hui Ye3, Zhang Li1, Lili Wang1, Zhihui Zhang1, Lu Zhang1, Yueran Zhao4, Zhiming Lu1.   

Abstract

Alzheimer's disease (AD) is the most common type of age-related neurodegenerative disorder; nevertheless, nowadays there are no reliable biomarkers or non-invasive techniques available for its early detection. Recent studies have indicated that the circulating level profiles of microRNAs (miRNAs) have the potential to be used as valuable biomarkers for diagnosis, staging, and progress monitoring of various diseases. Here we report a novel 9-miRNA signature (hsa-miR-26a-5p, hsa-miR-181c-3p, hsa-miR-126-5p, hsa-miR-22-3p, hsa-miR-148b-5p, hsa-miR-106b-3p, hsa-miR-6119-5p, hsa-miR-1246, and hsa-miR-660-5p) that can be utilized as biomarker for detecting AD. We respectively profiled the serum miRNAs from 19 AD patients and 9 healthy control (HC) participants using the Next-Generation Sequencing (NGS). The NGS results were validated by quantitative real-time polymerase chain reaction (qRT-PCR) on a larger cohort of 121 AD and 86 HC cases. All the patients were divided into three groups (mild, moderate, and severe AD) based on the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR). Our research indicates that abnormal expression of distinct serum miRNAs occurs at different stages of AD. The difference of the area under the receiver operator characteristics curve (AUC) between the AD and the HC is between 70% and 85%. Among the 9 miRNAs, hsa-miR-22-3p has the best sensitivity (81.8%) and specificity (70.9%). The miRNA-panel is more valuable for AD diagnosis. The data suggest that the differentially expressed serum miRNAs could be used as biomarkers to improve the diagnosis of AD, particularly at the early stage, and to classify its clinical stages.

Entities:  

Keywords:  Alzheimer’s disease; biomarker; microRNAs; next-generation sequencing; quantitative Real-Time PCR; serum

Mesh:

Substances:

Year:  2017        PMID: 29036818     DOI: 10.3233/JAD-170343

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  28 in total

1.  A Systematic Review of MicroRNA Expression as Biomarker of Late-Onset Alzheimer's Disease.

Authors:  Soraya Herrera-Espejo; Borja Santos-Zorrozua; Paula Álvarez-González; Elixabet Lopez-Lopez; África Garcia-Orad
Journal:  Mol Neurobiol       Date:  2019-06-25       Impact factor: 5.590

Review 2.  Regulation of microRNAs in Alzheimer´s disease, type 2 diabetes, and aerobic exercise training.

Authors:  Ricardo Augusto Leoni De Sousa; Alex Cleber Improta-Caria
Journal:  Metab Brain Dis       Date:  2022-01-25       Impact factor: 3.584

Review 3.  Traumatic MicroRNAs: Deconvolving the Signal After Severe Traumatic Brain Injury.

Authors:  Martin Cente; Katarina Matyasova; Nikoleta Csicsatkova; Adela Tomikova; Sara Porubska; Yun Niu; Marek Majdan; Peter Filipcik; Igor Jurisica
Journal:  Cell Mol Neurobiol       Date:  2022-07-19       Impact factor: 4.231

Review 4.  Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic.

Authors:  Harald Hampel; Sid E O'Bryant; José L Molinuevo; Henrik Zetterberg; Colin L Masters; Simone Lista; Steven J Kiddle; Richard Batrla; Kaj Blennow
Journal:  Nat Rev Neurol       Date:  2018-11       Impact factor: 42.937

5.  MiR-539-5p Decreases amyloid β-protein production, hyperphosphorylation of Tau and Memory Impairment by Regulating PI3K/Akt/GSK-3β Pathways in APP/PS1 Double Transgenic Mice.

Authors:  Yushu Jiang; Yuan Zhang; Li Su
Journal:  Neurotox Res       Date:  2020-05-15       Impact factor: 3.911

6.  MicroRNA predicts cognitive performance in healthy older adults.

Authors:  Joseph M Gullett; Zhaoyi Chen; Andrew O'Shea; Maisha Akbar; Jiang Bian; Asha Rani; Eric C Porges; Thomas C Foster; Adam J Woods; Francois Modave; Ronald A Cohen
Journal:  Neurobiol Aging       Date:  2020-08-03       Impact factor: 4.673

7.  Profiling of Serum Exosome MiRNA Reveals the Potential of a MiRNA Panel as Diagnostic Biomarker for Alzheimer's Disease.

Authors:  Zhiwu Dong; Hongjun Gu; Qiang Guo; Shuang Liang; Jian Xue; Feng Yao; Xianglu Liu; Feifei Li; Huiling Liu; Li Sun; Kewen Zhao
Journal:  Mol Neurobiol       Date:  2021-02-24       Impact factor: 5.590

8.  MicroRNA-34a Inhibition Alleviates Lung Injury in Cecal Ligation and Puncture Induced Septic Mice.

Authors:  Song Chen; Renyu Ding; Ziwei Hu; Xiaohan Yin; Feng Xiao; Wei Zhang; Shijiao Yan; Chuanzhu Lv
Journal:  Front Immunol       Date:  2020-08-13       Impact factor: 7.561

9.  Prediction of differentially expressed microRNAs in blood as potential biomarkers for Alzheimer's disease by meta-analysis and adaptive boosting ensemble learning.

Authors:  Sze Chung Yuen; Xiaonan Liang; Hongmei Zhu; Yongliang Jia; Siu-Wai Leung
Journal:  Alzheimers Res Ther       Date:  2021-07-09       Impact factor: 6.982

10.  A Computational Exploration of the Molecular Network Associated to Neuroinflammation in Alzheimer's Disease.

Authors:  Fatima El Idrissi; Bernard Gressier; David Devos; Karim Belarbi
Journal:  Front Pharmacol       Date:  2021-07-15       Impact factor: 5.810

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