JOURNAL ARTICLE

Single-cell RNA sequencing identifies senescence as therapeutic target in rhabdomyolysis-induced acute kidney injury.

  • Published In: Nephrology Dialysis Transplantation, 2024, v. 39, n. 3. P. 496 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Rao, Snigdha N; Zahm, Margot; Casemayou, Audrey; Buleon, Marie; Faguer, Stanislas; Feuillet, Guylène; Iacovoni, Jason S; Joffre, Olivier P; Gonzalez-Fuentes, Ignacio; Lhuillier, Emeline; Martins, Frédéric; Riant, Elodie; Zakaroff-Girard, Alexia; Schanstra, Joost P; Saulnier-Blache, Jean Sébastien; Belliere, Julie 3 of 3

Abstract

This article focuses on the immune cell dynamics and cellular senescence in rhabdomyolysis-induced acute kidney injury (RM-AKI) using single-cell RNA sequencing in a murine model. It identifies a novel transitional macrophage subpopulation (Cluster 8) characterized by a cellular senescence gene signature that acts as a reprogramming node between major histocompatibility complex class II high (MHCII^high) macrophages in healthy kidneys and MHCII^low macrophages in RM-AKI. The study also demonstrates that tubular epithelial cells (TECs) exhibit a distinct senescence signature during AKI. Treatment with senolytics—dasatinib and quercetin (DQ)—administered before and after injury prevented the macrophage phenotypic switch, reduced kidney injury markers, and improved renal function, suggesting that senolytics may exert nephroprotective effects through modulation of immune cell senescence in early RM-AKI.

Additional Information

  • Source:Nephrology Dialysis Transplantation. 2024/03, Vol. 39, Issue 3, p496
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2024
  • ISSN:0931-0509
  • DOI:10.1093/ndt/gfad199
  • Accession Number:175725354
  • Copyright Statement:Copyright of Nephrology Dialysis Transplantation is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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