Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues.
Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues.
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通过使用多个组织的基因表达谱改进人类年龄预测。
DOI：
10.3389/fgene.2020.01025
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发表时间：
2020
影响因子：
3.7
通讯作者：
Tian G
中科院分区：
文献类型：
--
作者：
Wang F;Yang J;Lin H;Li Q;Ye Z;Lu Q;Chen L;Tu Z;Tian G
研究全身组织的转录组时间变化可以为了解衰老和长寿提供有价值的信息。虽然已经有跨多个组织的单组织转录本对人类衰老或小鼠衰老的影响的研究，但目前还没有关于人体范围内多组织转录本对衰老的研究。在这项研究中，我们提出了一个定量模型，通过使用GTEx项目产生的46个组织的基因表达数据来预测人类年龄。具体地说，首先通过单个组织的基因表达谱来预测一个人的生物年龄。然后，我们结合了两个组织的基因表达谱，并比较了单个组织和两个组织的预测准确性。以均方根误差衡量，单个组织(垂体)的最佳表现为3.92岁，而将两个组织(垂体和肌肉)结合在一起时，表现最好的组织为3.6岁。不同的组织在预测年龄方面有不同的潜力。通过组合多个组织来提高预测精度，支持衰老是一个涉及人体多个组织的系统性过程。
Studying transcriptome chronological change from tissues across the whole body can provide valuable information for understanding aging and longevity. Although there has been research on the effect of single-tissue transcriptomes on human aging or aging in mice across multiple tissues, the study of human body-wide multi-tissue transcriptomes on aging is not yet available. In this study, we propose a quantitative model to predict human age by using gene expression data from 46 tissues generated by the Genotype-Tissue Expression (GTEx) project. Specifically, the biological age of a person is first predicted via the gene expression profile of a single tissue. Then, we combine the gene expression profiles from two tissues and compare the predictive accuracy between single and two tissues. The best performance as measured by the root-mean-square error is 3.92 years for single tissue (pituitary), which deceased to 3.6 years when we combined two tissues (pituitary and muscle) together. Different tissues have different potential in predicting chronological age. The prediction accuracy is improved by combining multiple tissues, supporting that aging is a systemic process involving multiple tissues across the human body.