Scale bar of aging trajectories for screening personal rejuvenation treatments

Xilin Shen; Bingbing Wu; Wei Jiang; Yu Li; Yuping Zhang; Kun Zhao; Nanfang Nie; Lin Gong; Yixiao Liu; Xiaohui Zou; Jian Liu; Jingfen Jin; HongWei Ouyang

doi:10.1016/j.csbj.2022.10.021

Scale bar of aging trajectories for screening personal rejuvenation treatments

Comput Struct Biotechnol J. 2022 Oct 21:20:5750-5760. doi: 10.1016/j.csbj.2022.10.021. eCollection 2022.

Authors

Xilin Shen^{1

2

3}, Bingbing Wu^{1

2

4}, Wei Jiang^{1

2}, Yu Li^{1

2

5}, Yuping Zhang⁶, Kun Zhao^{1

2}, Nanfang Nie^{1

2

5}, Lin Gong^{1

2}, Yixiao Liu^{1

2}, Xiaohui Zou^{1

2

5}, Jian Liu^{2

7}, Jingfen Jin⁶, HongWei Ouyang^{1

8

2}

Affiliations

¹ 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.
² Zhejiang University-University of Edinburgh Institute, Zhejiang University School of Medicine, and Key Laboratory of Tissue Engineering and Regenerative Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, PR China.
³ College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, PR China.
⁴ International Institutes of Medicine, The 4th Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, Zhejiang, PR China.
⁵ Clinical Research Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, PR China.
⁶ Nursing Department of The Second Affiliated Hospital of Zhejiang University School of Medicine, PR China.
⁷ Department of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310009, PR China.
⁸ Department of Sports Medicine, Zhejiang University School of Medicine, Hangzhou, PR China.

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 in vitro, such as Nicotinamide Mononucleotide (NMN) and Metformin. In sum, this study developed a de novo 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.

Keywords: Aging; Aging clock; Rejuvenation; Transcriptome.