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Biomarkers of Human Aging pp 47–66Cite as

Epigenomic, Transcriptome and Image-Based Biomarkers of Aging

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Part of the book series: Healthy Ageing and Longevity ((HAL,volume 10))

Abstract

The need to postpone age-associated decline and maintain late life healthspan is generally agreed, however, available tools and methods still lack accuracy. Indicators of biological age, or biomarkers of aging, therefore, have important roles in simplifying clinical diagnostics to allow healthcare to be tailored to individuals. Moreover, biomarkers of aging can alter current approaches to finding solutions to reduce biological age. Several families of biomarkers have emerged, though most of them are diseases-specific, some of them have great potentials as aging indicators. Here we review the current advances in biomarkers of aging. After describing the definition of aging biomarkers, we emphasize the importance of aging diagnostics, and discuss several basic considerations when modeling biological age. Finally, we highlight some biomarker candidates with the highest application potentials, including epigenome, microRNAs especially exosome microRNAs, and recently developed image-based phenome and microbiome markers.

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Acknowledgements

This work was supported by grants from National Natural Science Foundation of China (91749205, 91329302 and 31210103916), China Ministry of Science and Technology (2015CB964803 and 2016YFE0108700) and Max Planck fellowship to J.D.J.H.

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  1. Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China

    Yizhen Yan, Yonglin Mu & Jing-Dong J. Han

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Yizhen Yan, Yonglin Mu, Weiyang Chen & Jing-Dong J. Han

  3. School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China

    Weiyang Chen

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  1. Yizhen Yan
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  2. Yonglin Mu
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  4. Jing-Dong J. Han
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Correspondence to Jing-Dong J. Han .

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  1. Laboratory of Geroprotective and Radioprotective Technologies, Institute of Biology, Komi Science Center of RAS, Syktyvkar, Komi Republic, Russia

    Alexey Moskalev

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Yan, Y., Mu, Y., Chen, W., Han, JD.J. (2019). Epigenomic, Transcriptome and Image-Based Biomarkers of Aging. In: Moskalev, A. (eds) Biomarkers of Human Aging. Healthy Ageing and Longevity, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-24970-0_5

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