Department of Pediatrics, Division of Genetics and Genomic Medicine, University of California, Irvine, USA.
Betterhumans Inc., Gainesville, FL, USA.
Geroscience. 2023 Jun;45(3):1817-1835. doi: 10.1007/s11357-023-00731-7. Epub 2023 Mar 25.
Claims surrounding exceptional longevity are sometimes disputed or dismissed for lack of credible evidence. Here, we present three DNA methylation-based age estimators (epigenetic clocks) for verifying age claims of centenarians. The three centenarian clocks were developed based on n = 7039 blood and saliva samples from individuals older than 40, including n = 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +). The oldest individual was 115 years old. Our most accurate centenarian clock resulted from applying a neural network model to a training set composed of individuals older than 40. An epigenome-wide association study of age in different age groups revealed that age effects in young individuals (age < 40) are correlated (r = 0.55) with age effects in old individuals (age > 90). We present a chromatin state analysis of age effects in centenarians. The centenarian clocks are expected to be useful for validating claims surrounding exceptional old age.
声称的超长寿命有时因缺乏可信证据而受到质疑或否定。在这里,我们提出了三种基于 DNA 甲基化的年龄估算器(表观时钟),用于验证百岁老人的年龄声称。这三种百岁时钟是基于 n = 7039 名年龄在 40 岁以上的个体的血液和唾液样本开发的,其中包括 n = 184 名百岁老人、122 名半超级百岁老人(年龄在 105 岁以上)和 25 名超级百岁老人(年龄在 110 岁以上)的样本。最年长的个体为 115 岁。我们最准确的百岁时钟是通过将神经网络模型应用于由年龄在 40 岁以上的个体组成的训练集中得出的。不同年龄组的全基因组关联研究表明,年轻个体(年龄<40 岁)的年龄效应与老年个体(年龄>90 岁)的年龄效应相关(r = 0.55)。我们提出了百岁老人年龄效应的染色质状态分析。这些百岁时钟有望用于验证有关异常高龄的说法。