MicroRNAs and mild cognitive impairment: A systematic review

痴呆 纳入和排除标准 认知障碍 荟萃分析 系统回顾 梅德林 认知 样本量测定 医学 疾病 心理学 生物标志物 生物信息学 病理 精神科 生物 替代医学 统计 生物化学 数学
作者
Paola Piscopo,Eleonora Lacorte,Marco Feligioni,Flávia Mayer,Alessio Crestini,Laura Piccolo,Ilaria Bacigalupo,Melania Filareti,Elena Ficulle,Annamaria Confaloni,Nicola Vanacore,Massimo Corbo
出处
期刊:Ageing Research Reviews [Elsevier]
卷期号:50: 131-141 被引量:33
标识
DOI:10.1016/j.arr.2018.11.005
摘要

Mild cognitive impairment (MCI) is usually described as an intermediate phase between normal cognition and dementia. Identifying the subjects at a higher risk of progressing from MCI to AD is essential to manage this condition. The diagnosis of MCI is mainly clinical. Several biomarkers have been proposed, but mostly for research purposes, as they are based on an invasive procedure to obtain the sample, such as cerebrospinal fluid (CSF). As a consequence, rapid and non-invasive biomarkers are needed to improve diagnosis. The objective of this systematic review is to summarize available evidence on the use of miRNAs as biomarkers in subjects with MCI. Relevant literature published up to June 2018 was retrieved searching the databases PubMed, ISI Web of Knowledge and the Cochrane Database. Only studies considering microRNAs (miRNAs) and a diagnosis of MCI were included. Data were extracted using a specifically-designed standardized form, and their methodological quality was assessed using QUADAS-2 and QUIPS. Twenty-one studies of 153 retrieved articles met the predefined inclusion/exclusion criteria. Studies included participants ranging from 6 to 330. More than 40 miRNAs resulted as dysregulated, and miR-206 was the only miRNA that was found as differentially expressed in patients with MCI by more than two studies. However, these results have either not yet been confirmed in other independent cohorts, or data are still inconsistent. Inconsistencies among included studies could be due to several issues including the selection of participants, pre-analytical and analytical procedures, and statistical analyses.
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