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

生物标志物 小RNA 签名(拓扑) 医学 疾病 阿尔茨海默病 病理 基因 生物 遗传学 数学 几何学
作者
Rui Guo,Gang Fan,Jian Zhang,Chunxiao Wu,Yifeng Du,Hui Ye,Zhang Li,Lili Wang,Zhihui Zhang,Lu Zhang,Yueran Zhao,Zhiming Lu
出处
期刊:Journal of Alzheimer's Disease [IOS Press]
卷期号:60 (4): 1365-1377 被引量:102
标识
DOI:10.3233/jad-170343
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
怕孤独的梦寒完成签到,获得积分10
1秒前
冷酷的如豹完成签到,获得积分10
1秒前
管康淇发布了新的文献求助10
2秒前
机智雅山完成签到 ,获得积分10
2秒前
hqzhang2020发布了新的文献求助50
2秒前
漂亮的访冬完成签到,获得积分10
3秒前
4秒前
沉默含海完成签到 ,获得积分10
4秒前
开心臭屁小牛牛完成签到,获得积分10
5秒前
5秒前
李lj完成签到,获得积分10
5秒前
心灵蛋花汤完成签到,获得积分10
6秒前
无辜的醉波完成签到,获得积分10
6秒前
小半完成签到 ,获得积分10
6秒前
7秒前
陈新发布了新的文献求助10
7秒前
宓天问完成签到,获得积分10
8秒前
zhou发布了新的文献求助10
9秒前
Lucyxinyue完成签到,获得积分10
9秒前
shee发布了新的文献求助10
10秒前
hyx完成签到,获得积分10
11秒前
yiliu0111487发布了新的文献求助10
11秒前
专一的白萱完成签到 ,获得积分10
11秒前
乐乐应助管康淇采纳,获得10
11秒前
12秒前
13秒前
李健应助简单澜采纳,获得10
13秒前
13秒前
魁梧的觅山完成签到,获得积分10
14秒前
17秒前
YLLL完成签到 ,获得积分10
17秒前
浅浅映阳发布了新的文献求助10
18秒前
clement完成签到,获得积分10
18秒前
柔弱静柏完成签到,获得积分10
19秒前
19秒前
20秒前
TmmYLU2025发布了新的文献求助10
20秒前
管康淇完成签到,获得积分10
20秒前
沧海一笑完成签到,获得积分10
20秒前
柳柳完成签到,获得积分10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7634532
求助须知:如何正确求助?哪些是违规求助? 9208628
关于积分的说明 19748939
捐赠科研通 7202630
什么是DOI,文献DOI怎么找? 3275070
关于科研通互助平台的介绍 2436953
邀请新用户注册赠送积分活动 2271966