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Scale bar of aging trajectories for screening personal rejuvenation treatments. | LitMetric

Scale bar of aging trajectories for screening personal rejuvenation treatments.

Comput Struct Biotechnol J

Dr. Li Dak Sum & Yip Yio Chin Center for Stem Cells and Regenerative Medicine, and Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, PR China.

Published: October 2022

AI Article Synopsis

  • Aging presents complex global challenges in health, economics, and society, making effective modeling difficult.
  • A study analyzed blood transcriptomes from 505 individuals, identifying 1138 genes related to aging and creating a linear aging clock to differentiate between fast and slow agers based on immune cell composition.
  • The aging clock revealed distinct transcriptome changes around age 40 and was used to evaluate rejuvenation effects of compounds like NMN and Metformin, contributing to personalized aging treatment approaches.

Article Abstract

Although aging is an increasingly severe healthy, economic, and social global problem, it is far from well-modeling aging due to the aging process's complexity. To promote the aging modeling, here we did the quantitative measurement based on aging blood transcriptome. Specifically, the aging blood transcriptome landscape was constructed through ensemble modeling in a cohort of 505 people, and 1138 age-related genes were identified. To assess the aging rate in the linear dimension of aging, we constructed a simplified linear aging clock, which distinguished fast-aging and slow-aging populations and showed the differences in the composition of immune cells. Meanwhile, the non-linear dimension of aging revealed the transcriptome fluctuations with a crest around the age of 40 and showed that this crest came earlier and was more vigorous in the fast-aging population. Moreover, the aging clock was applied to evaluate the rejuvenation effect of molecules , such as Nicotinamide Mononucleotide (NMN) and Metformin. In sum, this study developed a aging clock to evaluate age-dependent precise medicine by revealing its fluctuation nature based on comprehensively mining the aging blood transcriptome, promoting the development of personal aging monitoring and anti-aging therapies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619353PMC
http://dx.doi.org/10.1016/j.csbj.2022.10.021DOI Listing

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