ArticlePloS one2012
Urinary proteomics to support diagnosis of stroke.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 39 citations in OpenAlex.
- Uncovering Urinary Proteome Differences in Very Preterm Infants with and without Preterm Brain Injury.Journal of proteome research · 2025Article
- Emerging biomarkers in ischemic stroke.Vessel plus · 2025Article
- Urinary Proteome Characterization of Stroke-Prone Spontaneously Hypertensive Rats.International journal of molecular sciences · 2024Article
- Proteomic advance of ischemic stroke: preclinical, clinical, and intervention.Metabolic brain disease · 2023Review
- Cardiovascular biomarkers in body fluids: progress and prospects in optical sensors.Biophysical reviews · 2022Review
- Stroke Proteomics: From Discovery to Diagnostic and Therapeutic Applications.Circulation research · 2022Review
- Blood-based protein biomarkers for the diagnosis of acute stroke: A discovery-based SWATH-MS proteomic approach.Frontiers in neurology · 2022Article
- Proteomics Reveals Plasma Biomarkers for Ischemic Stroke Related to the Coagulation Cascade.Journal of molecular neuroscience : MN · 2020Article
- Discovery of Urinary Proteomic Signature for Differential Diagnosis of Acute Appendicitis.BioMed research international · 2020Article
- Detection ofThe American journal of tropical medicine and hygiene · 2019Article
- Proteomic analysis of plasma from children with sickle cell anemia and silent cerebral infarction.Haematologica · 2018Article
- Plasma proteomic analysis reveals altered protein abundances in cardiovascular disease.Journal of translational medicine · 2018Article
- Predictive Role of Urinary Metabolic Profile for Abnormal MRI Score in Preterm Neonates.Disease markers · 2018Article
- Discovery and Longitudinal Evaluation of Candidate Biomarkers for Ischaemic Stroke by Mass Spectrometry-Based Proteomics.Biomarker insights · 2017Article
- Urinary Biomarkers of Brain Diseases.Genomics, proteomics & bioinformatics · 2015Review
- Article
- Excretion of urinary orosomucoid 1 protein is elevated in patients with chronic heart failure.PloS one · 2014Article
- Cardioembolic stroke diagnosis using blood biomarkers.Current cardiology reviews · 2013Review
- Chipping away at a mountain: genomic studies in common variable immunodeficiency.Autoimmunity reviews · 2013Review
- Application of proteomics to cerebrovascular disease.Electrophoresis · 2012Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate diagnosis in suspected ischaemic stroke can be difficult. We explored the urinary proteome in patients with stroke (n = 69), compared to controls (n = 33), and developed a biomarker model for the diagnosis of stroke. We performed capillary electrophoresis online coupled to micro-time-of-flight mass spectrometry. Potentially disease-specific peptides were identified and a classifier based on these was generated using support vector machine-based software. Candidate biomarkers were sequenced by liquid chromatography-tandem mass spectrometry. We developed two biomarker-based classifiers, employing 14 biomarkers (nominal p-value <0.004) or 35 biomarkers (nominal p-value <0.01). When tested on a blinded test set of 47 independent samples, the classification factor was significantly different between groups; for the 35 biomarker model, median value of the classifier was 0.49 (-0.30 to 1.25) in cases compared to -1.04 (IQR -1.86 to -0.09) in controls, p<0.001. The 35 biomarker classifier gave sensitivity of 56%, specificity was 93% and the AUC on ROC analysis was 0.86. This study supports the potential for urinary proteomic biomarker models to assist with the diagnosis of acute stroke in those with mild symptoms. We now plan to refine further and explore the clinical utility of such a test in large prospective clinical trials.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.