Epigenomic, Transcriptome and Image-Based Biomarkers of Aging

  • Yizhen Yan
  • Yonglin Mu
  • Weiyang Chen
  • Jing-Dong J. HanEmail author
Part of the Healthy Ageing and Longevity book series (HAL, volume 10)


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.


Epigenetics Transcriptome Aging marker Bioimage DNA methylation Chromatin structure microRNA Microbiome 



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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yizhen Yan
    • 1
    • 2
  • Yonglin Mu
    • 1
    • 2
  • Weiyang Chen
    • 2
    • 3
  • Jing-Dong J. Han
    • 1
    • 2
    Email author
  1. 1.Key Laboratory of Computational BiologyCAS 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 SciencesShanghaiChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.School of Computer Science and TechnologyQilu University of Technology (Shandong Academy of Sciences)JinanChina

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