ArticleClinical and translational medicine2025
Sendotypes predict worsening renal function in chronic kidney disease patients.
Article in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Multi-omics-driven precision medicine.iMeta · 2026Review
- Molecular mechanisms and therapeutic strategies of glomerular cell senescence in diabetic kidney disease: from heterogeneity to precision intervention.Cellular and molecular life sciences : CMLS · 2026Review
- Chronic Kidney Disease and Cellular Senescence.International journal of molecular sciences · 2026Review
- Sendotypes predict worsening renal function in chronic kidney disease patients.Clinical and translational medicine · 2025Article
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12 authors.
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Abstract
backgroundSenescence 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 senescence endotypes (Sendotype).
methodsUsing specific numbers of senescent proteins, we clustered CKD patients into two distinct sendotypes based on proteomic expression. These clusters were evaluated with three independent criteria assessing inter and intra cluster distances. Differential expression analysis was then performed to investigate differing proteomic expression between sendotypes.
resultsThese clusters accurately stratified CKD patients, with patients in each sendotype having different clinical profiles. Higher expression of these proteins correlated with worsened disease symptomologies. Biological signalling pathways such as TNF, Janus kinase-signal transducers and activators of transcription (JAK-STAT) and NFKB were differentially enriched between patient sendotypes, suggesting potential mechanisms driving the endotype of CKD.
conclusionOur work reveals that, combining clinical features with SASP signatures from CKD patients may help predict whether a patient will have worsening or stable renal trajectory. This has implications for the CKD clinical care pathway and will help clinicians stratify CKD patients accurately. KEY POINTS: Senescent proteins are upregulated in severe patients compared to mild patients Senescent proteins can stratify patients based on disease severity High expression of senescent proteins correlates with worsening renal trajectories.
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