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Chronic Kidney Disease and Cellular Senescence
Marya Morevati, Juliette Tavenier, Morten Scheibye-Knudsen, Morten Baltzer Houlind, Aram Hedayati, Mads Hornum
International Journal of Molecular Sciences · 2026 · ▲ 2 citations
Abstract
Chronic kidney disease (CKD) and kidney aging share many pathological and molecular features, with cellular senescence(definition) emerging as a potentially important contributor to disease progression. Senescent cells accumulate in the kidneys due to persistent stressors, contributing to chronic inflammation and fibrosis via the senescence-associated secretory phenotype (SASP). This review explores the intersection between CKD and renal aging, focusing on the mechanisms driving senescence, its impact on kidney function, and potential therapeutic interventions. We explore various senotherapeutic approaches, such as senolytics(definition), senomorphics, and rejuvenating agents, and highlight the increasing role of artificial intelligence (AI) and machine learning (ML) in detecting and monitoring senescent cells, enabling high-throughput and precise assessment across experimental and clinical settings. Understanding these mechanisms offers new avenues for developing targeted treatments to slow CKD progression and improve patient outcomes.
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Provenance
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- OpenAlex
- DOI
- 10.3390/ijms27073205
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- 2026-07-27 MST
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APA
Morevati, M., Tavenier, J., Scheibye-Knudsen, M., Houlind, M.B., Hedayati, A., & Hornum, M. (2026). Chronic Kidney Disease and Cellular Senescence. <em>International Journal of Molecular Sciences</em>. https://doi.org/10.3390/ijms27073205
Vancouver
Morevati M, Tavenier J, Scheibye-Knudsen M, Houlind MB, Hedayati A, Hornum M. Chronic Kidney Disease and Cellular Senescence. International Journal of Molecular Sciences. 2026. doi:10.3390/ijms27073205.
BibTeX
@article{marya2026Chroni,
title = {Chronic Kidney Disease and Cellular Senescence},
author = {Marya Morevati and Juliette Tavenier and Morten Scheibye-Knudsen and Morten Baltzer Houlind and Aram Hedayati and Mads Hornum},
journal = {International Journal of Molecular Sciences},
year = {2026},
doi = {10.3390/ijms27073205},
}
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