《Table 1 Raw and adjusted P values of miRNAs for age,gender,AD,and MMSE》

《Table 1 Raw and adjusted P values of miRNAs for age,gender,AD,and MMSE》   提示：宽带有限、当前游客访问压缩模式
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《Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs》


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Although deep-sequencing applications are increasingly introduced into clinical care，they are mostly performed for the analysis of DNA or RNAs coding for genes.Small noncoding RNA profiling，however，is mostly achieved by microarray and RT-qPCR based approaches.In the present study，we provide further evidence that blood-borne miRNA signatures can be measured by standard RT-qPCR，becoming valuable tools for the minimally-invasive detection of AD.From our above-mentioned studies and the literature，we selected a set of 21 miRNAs and determined the abundance of these miRNAs in the blood of 465 individuals.The 465 individuals consist of 169 individuals from our initial study（36%）[8]，107 individuals from the second study（23%）[16]as well as189 newly collected individuals（41%）.An overview and summary on the German and US samples is provided in Figure 1A–C，the full details for each individual samples，including age gender，diagnosis，Mini-Mental State Examination（MMSE），and the miRNA measurements，are provided in Table S1.

图表编号XD00117312200    严禁用于非法目的
绘制时间2019.08.01
作者Nicole Ludwig、Tobias Fehlmann、Fabian Kern、Manfred Gogol、Walter Maetzler、Stephanie Deutscher、Simone Gurlit、Claudia Schulte、Anna-Katharina von Thaler、Christian Deuschle、Florian Metzger、Daniela Berg、Ulrike Suenkel、Verena Keller、Christina Backes、Hans-Peter Le
绘制单位Department of Human Genetics, Saarland University、Saarland University、Saarland University、Institut für Gerontologie, Universitt Heidelberg、Department of Neurology, Christian-Albrechts-University of Kiel、Center for Neurology and Hertie Institute for Clinic
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