Sendotypes predict worsening renal function in chronic kidney disease patients

Abstract Background Senescence associated secretory phenotype (SASP) contributes to age‐related pathology, however the role of SASP in Chronic Kidney Disease (CKD) is unclear. Here, we employ a variety of omic techniques to show that senescence signatures can separate CKD patients into distinct sene...

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Podrobná bibliografie

Hlavní autoři:	Thomas McLarnon, Steven Watterson, Sean McCallion, Eamonn Cooper, Andrew R. English, Ying Kuan, David S. Gibson, Elaine K. Murray, Frank McCarroll, Shu‐Dong Zhang, Anthony J. Bjourson, Taranjit Singh Rai
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2025-04-01
Edice:	Clinical and Translational Medicine
Témata:	biomarker CKD machine learning sendotype senescence
On-line přístup:	https://doi.org/10.1002/ctm2.70279
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