A non-invasive liquid biopsy resolves the diagnostic blind spot in chronic kidney disease
Nishimura, T.; Harita, Y.; Hirakawa, Y.; Takizawa, K.; Fujishiro, J.; Ogawa, S.; Kajiho, Y.; Kanda, S.; Kushima, R.; Omori, T.; Hamasaki, Y.; Gotoh, Y.; Miura, K.; Fujita, N.; Okamoto, T.; Hisano, M.; Nangaku, M.; Kato, M.
Show abstract
Chronic kidney disease is a major global health burden, and its early detection is critical for delaying progression to kidney failure using recently developed targeted therapies. However, current diagnostic screening relies heavily on blood markers that are confounded by muscle mass, and on urine tests that frequently miss structural damage occurring without protein leakage. This creates a critical diagnostic blind spot that hinders timely intervention. Here we show a non-invasive liquid biopsy platform that quantifies a specific protein marker, MUC1, on urinary extracellular vesicles to accurately assess renal parenchymal integrity. By bypassing the systemic metabolic noise of traditional blood tests, our assay provides a remarkably stable, person-specific functional signature. Following extensive validation across diverse cohorts, our longitudinal analysis demonstrated that the discrepancy between this novel urine-based readout and standard blood tests unmasks hidden renal vulnerability, successfully predicting rapid functional decline. By comprehensively evaluating both tubular and glomerular integrity from a single spot urine sample, these findings establish a completely non-invasive, highly scalable prescreening tool that resolves the diagnostic blind spot, enabling broader early detection strategies and ushering in a new era of proactive risk management.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Urine Test Predicts Kidney Injury and Death in COVID-19 95%
- Urinary Clusterin is a biomarker of renal epithelial senescence and predicts human kidney disease progression 94%
- Urine single cell RNA-sequencing in focal segmental glomerulosclerosis reveals inflammatory signatures in immune cells and podocytes 94%
Similar papers in this journal
- Urinary single-cell sequencing captures intrarenal injury and repair processes in human acute kidney injury 94%
- Genetically engineering endothelial niche in human kidney organoids enables multilineage maturation, vascularization, and de novo cell types 94%
- Dynamic Single Cell Transcriptomics Defines Kidney FGF23/KL Bioactivity and Novel Segment-Specific Inflammatory Targets 94%
Similar papers in this journal
- Single-cell profiling of healthy human kidney reveals features of sex-based transcriptional programs and tissue-specific immunity 96%
- Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney 96%
- Defining cellular complexity in human autosomal dominant polycystic kidney disease by multimodal single cell analysis 95%
Similar papers in this journal
- Single cell transcriptomic analysis of renal allograft rejection reveals novel insights into intragraft TCR clonality 93%
- Quantifying variant contributions in cystic kidney disease using national-scale whole genome sequencing 93%
- Blood immunophenotyping identifies distinct kidney histopathology and outcomes in patients with lupus nephritis 92%
Similar papers in this journal
- Stiffness sensing fuels matrix-driven metabolic reboot for kidney repair and regeneration 94%
- Enriched Single-Nucleus RNA-Sequencing reveals unique attributes of distal convoluted tubule cells 94%
- ADPKD-Causing Missense Variants in Polycystin-1 Disrupt Cell Surface Localization or Polycystin Channel Function 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.