通过小 RNA 测序和机器学习鉴定的唾液 microRNAs 作为酒精依赖的潜在生物标志物。
Salivary microRNAs identified by small RNA sequencing and machine learning as potential biomarkers of alcohol dependence.
机构信息
Department of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA.
Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA.
出版信息
Epigenomics. 2019 May;11(7):739-749. doi: 10.2217/epi-2018-0177. Epub 2019 May 29.
Abstract
Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). The miRNA transcriptome in the saliva of 56 African-Americans (AAs; 28 AD patients/28 controls) and 64 European-Americans (EAs; 32 AD patients/32 controls) was profiled using small RNA sequencing. Differentially expressed miRNAs were identified. Salivary miRNAs were used to predict the AD presence using machine learning with Random Forests. Seven miRNAs were differentially expressed in AA AD patients, and five miRNAs were differentially expressed in EA AD patients. The AD prediction accuracy based on top five miRNAs (ranked by Gini index) was 79.1 and 72.2% in AAs and EAs, respectively. This study provided the first evidence that salivary miRNAs are AD biomarkers.
摘要
唾液中的 microRNA 可以作为酒精依赖（AD）的生物标志物。使用小 RNA 测序对 56 名非裔美国人（AA；28 名 AD 患者/28 名对照）和 64 名欧洲裔美国人（EA；32 名 AD 患者/32 名对照）的唾液中的 microRNA 转录组进行了分析。确定了差异表达的 microRNA。使用随机森林的机器学习来预测 AD 的存在，使用了唾液 microRNA。在 AA AD 患者中，有 7 个 microRNA 表达差异，在 EA AD 患者中，有 5 个 microRNA 表达差异。基于前五个 microRNA（按基尼指数排序）的 AD 预测准确率在 AA 和 EA 中分别为 79.1%和 72.2%。这项研究首次提供了证据，证明唾液 microRNA 是 AD 的生物标志物。
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2
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3
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