Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot study

Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot study

Abstract Recent reports have shown the feasibility of measuring biological age from DNA methylation levels in blood cells from specific regions identified by machine learning, collectively known as the epigenetic clock or DNA methylation clock. While extensive research has explored the association o...

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Main Authors: Akihito Hishikawa, Erina Sugita Nishimura, Norifumi Yoshimoto, Ran Nakamichi, Eriko Yoshida Hama, Wataru Ito, Tomomi Maruki, Kengo Nagashima, Ryoko Shimizu-Hirota, Hiromasa Takaishi, Hiroshi Itoh, Kaori Hayashi
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-62405-4
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https://doi.org/10.1038/s41598-024-62405-4

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