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Scale bar of aging trajectories for screening personal rejuvenation treatments

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 t...

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Autores principales: Shen, Xilin, Wu, Bingbing, Jiang, Wei, Li, Yu, Zhang, Yuping, Zhao, Kun, Nie, Nanfang, Gong, Lin, Liu, Yixiao, Zou, Xiaohui, Liu, Jian, Jin, Jingfen, Ouyang, HongWei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619353/
https://www.ncbi.nlm.nih.gov/pubmed/36382193
http://dx.doi.org/10.1016/j.csbj.2022.10.021
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author Shen, Xilin
Wu, Bingbing
Jiang, Wei
Li, Yu
Zhang, Yuping
Zhao, Kun
Nie, Nanfang
Gong, Lin
Liu, Yixiao
Zou, Xiaohui
Liu, Jian
Jin, Jingfen
Ouyang, HongWei
author_facet Shen, Xilin
Wu, Bingbing
Jiang, Wei
Li, Yu
Zhang, Yuping
Zhao, Kun
Nie, Nanfang
Gong, Lin
Liu, Yixiao
Zou, Xiaohui
Liu, Jian
Jin, Jingfen
Ouyang, HongWei
author_sort Shen, Xilin
collection PubMed
description 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.
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spelling pubmed-96193532022-11-14 Scale bar of aging trajectories for screening personal rejuvenation treatments Shen, Xilin Wu, Bingbing Jiang, Wei Li, Yu Zhang, Yuping Zhao, Kun Nie, Nanfang Gong, Lin Liu, Yixiao Zou, Xiaohui Liu, Jian Jin, Jingfen Ouyang, HongWei Comput Struct Biotechnol J Research Article 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. Research Network of Computational and Structural Biotechnology 2022-10-21 /pmc/articles/PMC9619353/ /pubmed/36382193 http://dx.doi.org/10.1016/j.csbj.2022.10.021 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Shen, Xilin
Wu, Bingbing
Jiang, Wei
Li, Yu
Zhang, Yuping
Zhao, Kun
Nie, Nanfang
Gong, Lin
Liu, Yixiao
Zou, Xiaohui
Liu, Jian
Jin, Jingfen
Ouyang, HongWei
Scale bar of aging trajectories for screening personal rejuvenation treatments
title Scale bar of aging trajectories for screening personal rejuvenation treatments
title_full Scale bar of aging trajectories for screening personal rejuvenation treatments
title_fullStr Scale bar of aging trajectories for screening personal rejuvenation treatments
title_full_unstemmed Scale bar of aging trajectories for screening personal rejuvenation treatments
title_short Scale bar of aging trajectories for screening personal rejuvenation treatments
title_sort scale bar of aging trajectories for screening personal rejuvenation treatments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619353/
https://www.ncbi.nlm.nih.gov/pubmed/36382193
http://dx.doi.org/10.1016/j.csbj.2022.10.021
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