Plasma microRNA biomarker detection for mild cognitive impairment using differential correlation analysis.
Plasma microRNA biomarker detection for mild cognitive impairment using differential correlation analysis.
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DOI：
10.1186/s40364-016-0076-1
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发表时间：
2016
影响因子：
11.1
通讯作者：
Niida S
中科院分区：
文献类型：
--
作者：
Kayano M;Higaki S;Satoh JI;Matsumoto K;Matsubara E;Takikawa O;Niida S
轻度认知障碍（MCI）是介于正常衰老和痴呆（包括阿尔茨海默病）之间的中间状态。早期发现痴呆症和MCI是二级预防方面的一个关键问题。血液生物标志物检测是早期发现MCI的可能途径。尽管疾病生物标志物通常通过使用单分子分析如t检验来检测，但另一种可能的方法是基于分子之间的相互作用。对30名年龄和种族匹配的对照和23名日本MCI患者的血浆microRNA（miRNA）表达谱进行了差异相关分析，该分析检测病例/对照研究中两个变量相关性的差异。选择由20个miRNAs组成的20对miRNAs作为MCI标记。20个miRNA中的两对（hsa-miR-191和hsa-miR-101，以及hsa-miR-103和hsa-miR-222）达到MCI检测的最高曲线下面积（AUC）值0.962。包括hsa-miR-191和hsa-miR-125 b的另外两个miRNA对也获得了≥ 0.95的高AUC值。对MCI标记物进行通路分析以进一步理解生物学意义。因此，hsa-miR-191相关性的崩溃和hsa-miR-125 b相关性的出现可能在MCI和痴呆进展中起关键作用。差异相关分析是一种生物信息学工具，用于阐明疾病背后复杂和相互依赖的生物系统，检测有效的MCI标记，这些标记无法通过单分子分析（如t检验）找到。本文的在线版本（doi：10.1186/s40364-016-0076-1）包含补充材料，可供授权用户使用。
Mild cognitive impairment (MCI) is an intermediate state between normal aging and dementia including Alzheimer’s disease. Early detection of dementia, and MCI, is a crucial issue in terms of secondary prevention. Blood biomarker detection is a possible way for early detection of MCI. Although disease biomarkers are detected by, in general, using single molecular analysis such as t-test, another possible approach is based on interaction between molecules. Differential correlation analysis, which detects difference on correlation of two variables in case/control study, was carried out to plasma microRNA (miRNA) expression profiles of 30 age- and race-matched controls and 23 Japanese MCI patients. The 20 pairs of miRNAs, which consist of 20 miRNAs, were selected as MCI markers. Two pairs of miRNAs (hsa-miR-191 and hsa-miR-101, and hsa-miR-103 and hsa-miR-222) out of 20 attained the highest area under the curve (AUC) value of 0.962 for MCI detection. Other two miRNA pairs that include hsa-miR-191 and hsa-miR-125b also attained high AUC value of ≥ 0.95. Pathway analysis was performed to the MCI markers for further understanding of biological implications. As a result, collapsed correlation on hsa-miR-191 and emerged correlation on hsa-miR-125b might have key role in MCI and dementia progression. Differential correlation analysis, a bioinformatics tool to elucidate complicated and interdependent biological systems behind diseases, detects effective MCI markers that cannot be found by single molecule analysis such as t-test. The online version of this article (doi:10.1186/s40364-016-0076-1) contains supplementary material, which is available to authorized users.