Senescence Biomarkers CKAP4 and PTX3 Stratify Severe Kidney Disease Patients

Sean McCallion, Thomas McLarnon, Eamonn Cooper, Andrew R. English, Steven Watterson, Melody El Chemaly, Cathy McGeough, Amanda Eakin, Tan Ahmed, Philip Gardiner, Adrian Pendleton, Gary Wright, Declan McGuigan, Maurice O’Kane, Aaron Peace, Ying Kuan, David S. Gibson, Paula L. McClean, Catriona Kelly, Victoria McGilliganElaine K. Murray, Frank McCarroll, Anthony J. Bjourson, Taranjit Singh Rai

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Abstract

INTRODUCTION: Cellular senescence is the irreversible growth arrest subsequent to oncogenic mutations, DNA damage, or metabolic insult. Senescence is associated with ageing and chronic age associated diseases such as cardiovascular disease and diabetes. The involvement of cellular senescence in acute kidney injury (AKI) and chronic kidney disease (CKD) is not fully understood. However, recent studies suggest that such patients have a higher-than-normal level of cellular senescence and accelerated ageing.

METHODS: This study aimed to discover key biomarkers of senescence in AKI and CKD patients compared to other chronic ageing diseases in controls using OLINK proteomics.

RESULTS: We show that senescence proteins CKAP4 ( p-value < 0.0001) and PTX3 ( p-value < 0.0001) are upregulated in AKI and CKD patients compared with controls with chronic diseases, suggesting the proteins may play a role in overall kidney disease development.

CONCLUSIONS: CKAP4 was found to be differentially expressed in both AKI and CKD when compared to UHCs; hence, this biomarker could be a prognostic senescence biomarker of both AKI and CKD.

Original languageEnglish
Article number1613
Pages (from-to)1-18
Number of pages18
JournalCells
Volume13
Issue number19
Early online date26 Sept 2024
DOIs
Publication statusPublished (in print/issue) - 26 Sept 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Data Access Statement

The raw data supporting the conclusions of this article will be made
available by the authors on request.

Keywords

  • senescence
  • chronic kidney disease
  • acute kidney injury
  • biomarker
  • machine learning

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