Soares Bispo Santos Silva Deborah, Antunes Joana, Balamurugan Kuppareddi, Duncan George, Sampaio Alho Clarice, McCord Bruce
Department of Chemistry and Biochemistry, Florida International University, Miami, FL, USA.
Faculty of Biosciences, Laboratory of Human and Molecular Genetics, PUCRS, Porto Alegre, Brazil.
Electrophoresis. 2015 Aug;36(15):1775-80. doi: 10.1002/elps.201500137. Epub 2015 Jul 14.
We present epigenetic methylation data for two genetic loci, GRIA2, and NPTX2, which were tested for prediction of age from different donors of biofluids. We analyzed 44 saliva samples and 23 blood samples from volunteers with ages ranging from 5 to 72 years. DNA was extracted and bisulfite modified using commercial kits. Specific primers were used for amplification and methylation profiles were determined by pyrosequencing. Methylation data from both markers and their relationship with age were determined using linear regression analysis, which indicates a positive correlation between methylation and age. Older individuals tend to have increased methylation in both markers compared to younger individuals and this trend was more pronounced in the GRIA2 locus when compared to NPTX2. The epigenetic predicted age, calculated using a GRIA2 regression analysis model, was strongly correlated to chronological age (R(2) = 0.801), with an average difference of 6.9 years between estimated and observed ages. When using a NPTX2 regression model, we observed a lower correlation between predicted and chronological age (R(2) = 0.654), with an average difference of 9.2 years. These data indicate these loci can be used as a novel tool for age prediction with potential applications in many areas, including clinical and forensic investigations.
我们展示了两个基因位点GRIA2和NPTX2的表观遗传甲基化数据,这两个位点针对来自不同生物流体供体的年龄预测进行了测试。我们分析了44份唾液样本和23份血液样本,样本来自年龄在5至72岁之间的志愿者。使用商业试剂盒提取DNA并进行亚硫酸氢盐修饰。使用特异性引物进行扩增,并通过焦磷酸测序确定甲基化谱。使用线性回归分析确定了来自这两个标记的甲基化数据及其与年龄的关系,结果表明甲基化与年龄呈正相关。与年轻个体相比,年长者在这两个标记中的甲基化往往增加,并且与NPTX2相比,这种趋势在GRIA2位点更为明显。使用GRIA2回归分析模型计算的表观遗传预测年龄与实际年龄高度相关(R(2)=0.801),估计年龄与观察年龄之间的平均差异为6.9岁。当使用NPTX2回归模型时,我们观察到预测年龄与实际年龄之间的相关性较低(R(2)=0.654),平均差异为9.2岁。这些数据表明,这些位点可作为一种新的年龄预测工具,在包括临床和法医调查在内的许多领域具有潜在应用价值。
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