ArticleCardiovascular diabetology2018
Urinary proteomics for prediction of mortality in patients with type 2 diabetes and microalbuminuria.
Article in Cardiovascular diabetology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Recent Advances in Urinary Peptide and Proteomic Biomarkers in Chronic Kidney Disease: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- [Early detection by urinary proteome analysis : A new concept in patient management of diabetic nephropathy].Der Internist · 2020Pooled it
- Postprandial glucagon-like peptide 1 secretion is associated with urinary albumin excretion in newly diagnosed type 2 diabetes patients.World journal of diabetes · 2023Trial
- Acarbose Reduces Low-Grade Albuminuria Compared to Metformin in Chinese Patients with Newly Diagnosed Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Trial
- Biomarkers in Diabetic Kidney Disease: Early Detection, Prognostic Assessment, and Integration with Multi-Omics Signatures.Life (Basel, Switzerland) · 2026Review
- Urinary Collagen Peptides Predict Mortality.Proteomics · 2026Article
- Translational advances in diabetic nephropathy management: integrating nanoformulation-based drug delivery systems.Frontiers in medical technology · 2026Review
- Dynamics in kidney function markers as predictors of post-ICU survival: an innovative approach to enhance marker accuracy.Frontiers in medicine · 2026Article
- The Future of Chronic Kidney Disease Treatment: Combination Therapy (Polypill) or Biomarker-Guided Personalized Intervention?Biomolecules · 2025Review
- The Potential Use of Targeted Proteomics and Metabolomics for the Identification and Monitoring of Diabetic Kidney Disease.Journal of personalized medicine · 2024Review
- Proteomic Analysis Identifies Dysregulated Proteins in Albuminuria: A South African Pilot Study.Biology · 2024Article
- Recent progress in mass spectrometry-based urinary proteomics.Clinical proteomics · 2024Review
- Serum high mobility group box 1 as a potential biomarker for the progression of kidney disease in patients with type 2 diabetes.Frontiers in immunology · 2024Article
- Urinary peptides provide information about the risk of mortality across a spectrum of diseases and scenarios.Journal of translational medicine · 2023Article
- Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS.Molecular medicine (Cambridge, Mass.) · 2023Article
- Novel biomarkers for diabetic kidney disease.Kidney research and clinical practice · 2022Article
- Review of potential biomarkers of inflammation and kidney injury in diabetic kidney disease.Diabetes/metabolism research and reviews · 2022Review
- Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS.medRxiv : the preprint server for health sciences · 2022Article
- Current applications of capillary electrophoresis-mass spectrometry for the analysis of biologically important analytes in urine (2017 to mid-2021): A review.Journal of separation science · 2022Review
- Urine proteomics for prediction of disease progression in patients with IgA nephropathy.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021Article
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Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundThe urinary proteomic classifier CKD273 has shown promise for prediction of progressive diabetic nephropathy (DN). Whether it is also a determinant of mortality and cardiovascular disease in patients with microalbuminuria (MA) is unknown.
methodsUrine samples were obtained from 155 patients with type 2 diabetes and confirmed microalbuminuria. Proteomic analysis was undertaken using capillary electrophoresis coupled to mass spectrometry to determine the CKD273 classifier score. A previously defined CKD273 threshold of 0.343 for identification of DN was used to categorise the cohort in Kaplan-Meier and Cox regression models with all-cause mortality as the primary endpoint. Outcomes were traced through national health registers after 6 years.
resultsCKD273 correlated with urine albumin excretion rate (UAER) (r = 0.481, p = <0.001), age (r = 0.238, p = 0.003), coronary artery calcium (CAC) score (r = 0.236, p = 0.003), N-terminal pro-brain natriuretic peptide (NT-proBNP) (r = 0.190, p = 0.018) and estimated glomerular filtration rate (eGFR) (r = 0.265, p = 0.001). On multivariate analysis only UAER (β = 0.402, p < 0.001) and eGFR (β = - 0.184, p = 0.039) were statistically significant determinants of CKD273. Twenty participants died during follow-up. CKD273 was a determinant of mortality (log rank [Mantel-Cox] p = 0.004), and retained significance (p = 0.048) after adjustment for age, sex, blood pressure, NT-proBNP and CAC score in a Cox regression model.
conclusionA multidimensional biomarker can provide information on outcomes associated with its primary diagnostic purpose. Here we demonstrate that the urinary proteomic classifier CKD273 is associated with mortality in individuals with type 2 diabetes and MA even when adjusted for other established cardiovascular and renal biomarkers.
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