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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Nature Portfolio
2024-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-62405-4 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Akihito Hishikawa |
| collection | DOAJ |
| description | 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 of the DNA methylation clock with cardiovascular diseases, cancer, and Alzheimer's disease, its relationship with kidney diseases remains largely unexplored. In particular, it is unclear whether the DNA methylation clock could serve as a predictor of worsening kidney function. In this pilot study involving 20 subjects, we investigated the association between the DNA methylation clock and subsequent deterioration of renal function. Additionally, we noninvasively evaluated DNA damage in urinary shedding cells using a previously reported method to examine the correlation with the DNA methylation clock and worsening kidney function. Our findings revealed that patients with an accelerated DNA methylation clock exhibited increased DNA damage in urinary shedding cells, along with a higher rate of eGFR decline. Moreover, in cases of advanced CKD (G4-5), the DNA damage in urinary shedding cells was significantly increased, highlighting the interplay between elevated DNA damage and eGFR decline. This study suggests the potential role of the DNA methylation clock and urinary DNA damage as predictive markers for the progression of chronic kidney disease. |
| format | Article |
| id | doaj-art-e4922e1bc6b94fd686f0cad4c9a6d566 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e4922e1bc6b94fd686f0cad4c9a6d5662025-01-05T12:23:55ZengNature PortfolioScientific Reports2045-23222024-05-0114111010.1038/s41598-024-62405-4Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot studyAkihito Hishikawa0Erina Sugita Nishimura1Norifumi Yoshimoto2Ran Nakamichi3Eriko Yoshida Hama4Wataru Ito5Tomomi Maruki6Kengo Nagashima7Ryoko Shimizu-Hirota8Hiromasa Takaishi9Hiroshi Itoh10Kaori Hayashi11Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of MedicineDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of MedicineDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of MedicineDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of MedicineDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of MedicineDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of MedicineDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of MedicineBiostatistics Unit, Clinical and Translational Research Center, Keio University School of MedicineCenter for Preventive Medicine, Keio University School of MedicineCenter for Preventive Medicine, Keio University School of MedicineCenter for Preventive Medicine, Keio University School of MedicineDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of MedicineAbstract 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 of the DNA methylation clock with cardiovascular diseases, cancer, and Alzheimer's disease, its relationship with kidney diseases remains largely unexplored. In particular, it is unclear whether the DNA methylation clock could serve as a predictor of worsening kidney function. In this pilot study involving 20 subjects, we investigated the association between the DNA methylation clock and subsequent deterioration of renal function. Additionally, we noninvasively evaluated DNA damage in urinary shedding cells using a previously reported method to examine the correlation with the DNA methylation clock and worsening kidney function. Our findings revealed that patients with an accelerated DNA methylation clock exhibited increased DNA damage in urinary shedding cells, along with a higher rate of eGFR decline. Moreover, in cases of advanced CKD (G4-5), the DNA damage in urinary shedding cells was significantly increased, highlighting the interplay between elevated DNA damage and eGFR decline. This study suggests the potential role of the DNA methylation clock and urinary DNA damage as predictive markers for the progression of chronic kidney disease.https://doi.org/10.1038/s41598-024-62405-4 |
| spellingShingle | 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 Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot study Scientific Reports |
| title | Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot study |
| title_full | Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot study |
| title_fullStr | Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot study |
| title_full_unstemmed | Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot study |
| title_short | Predicting exacerbation of renal function by DNA methylation clock and DNA damage of urinary shedding cells: a pilot study |
| title_sort | predicting exacerbation of renal function by dna methylation clock and dna damage of urinary shedding cells a pilot study |
| url | https://doi.org/10.1038/s41598-024-62405-4 |
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