Wang Fayou, Yang Jialiang, Lin Huixin, Li Qian, Ye Zixuan, Lu Qingqing, Chen Luonan, Tu Zhidong, Tian Geng
School of Computer and Data Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo, China.
Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institute of Life Sciences, Chinese Academy of Sciences, Shanghai, China.
Front Genet. 2020 Sep 24;11:1025. doi: 10.3389/fgene.2020.01025. eCollection 2020.
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.
研究全身各组织的转录组随时间的变化可为理解衰老和长寿提供有价值的信息。尽管已有关于单个组织转录组对人类衰老或小鼠多组织衰老影响的研究，但尚未有关于人体全组织多组织转录组对衰老影响的研究。在本研究中，我们提出了一个定量模型，通过使用基因型-组织表达（GTEx）项目生成的46个组织的基因表达数据来预测人类年龄。具体而言，首先通过单个组织的基因表达谱预测一个人的生物学年龄。然后，我们将两个组织的基因表达谱结合起来，并比较单个组织和两个组织之间的预测准确性。以均方根误差衡量的最佳性能，单个组织（垂体）为3.92岁，当我们将两个组织（垂体和肌肉）结合在一起时，降至3.6岁。不同组织在预测实际年龄方面具有不同潜力。通过组合多个组织提高了预测准确性，这支持了衰老乃是一个涉及人体多个组织的系统性过程。
