ArticleFrontiers in medicine2021
A Comprehensive Urine Proteome Database Generated From Patients With Various Renal Conditions and Prostate Cancer.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 34 citations in OpenAlex.
- Defining the urine proteome in boys with posterior urethral valves: a pilot study.Frontiers in cell and developmental biology · 2026Article
- The promise of deep urine proteomics for diagnosis of cancer, neurologic, and metabolic diseases.PloS one · 2026Article
- Article
- Urinary Proteome and Exosome Analysis Protocol for the Discovery of Respiratory Diseases Biomarkers.Biomolecules · 2025Article
- Host and bacterial urine proteomics might predict treatment outcomes for immunotherapy in advanced non-small cell lung cancer patients.Frontiers in immunology · 2025Article
- Investigating and Annotating the Human Peptidome Profile from Urine under Normal Physiological Conditions.Proteomes · 2024Article
- Urine proteome profile of firefighters with exposure to emergency fire-induced smoke: A pilot study to identify potential carcinogenic effects.The Science of the total environment · 2024Article
- Recent progress in mass spectrometry-based urinary proteomics.Clinical proteomics · 2024Review
- De-obstruction of bladder outlet in humans reverses organ remodelling by normalizing the expression of key transcription factors.BMC urology · 2024Article
- Development and validation of machine learning models for diagnosis and prognosis of cancer by urinary proteomics, based on the FLEMENGHO cohort.American journal of cancer research · 2024Article
- Unveiling the Dichotomy of Urinary Proteins: Diagnostic Insights into Breast and Prostate Cancer and Their Roles.Proteomes · 2023Review
- A Multiplexed Urinary Biomarker Panel Has Potential for Alzheimer's Disease Diagnosis Using Targeted Proteomics and Machine Learning.International journal of molecular sciences · 2023Article
- Research of Prostate Cancer Urinary Diagnostic Biomarkers by Proteomics: The Noteworthy Influence of Inflammation.Diagnostics (Basel, Switzerland) · 2023Article
- Biomarker-Development Proteomics in Kidney Transplantation: An Updated Review.International journal of molecular sciences · 2023Review
- Urinary biomarkers for amyotrophic lateral sclerosis: candidates, opportunities and considerations.Brain communications · 2023Review
- Calcineurin B inhibits calcium oxalate crystallization, growth and aggregation via its high calcium-affinity property.Computational and structural biotechnology journal · 2023Article
- Routine omics collection is a golden opportunity for European human research in space and analog environments.Patterns (New York, N.Y.) · 2022Review
- Tracking Prostate Carcinogenesis over Time through Urine Proteome Profiling in an Animal Model: An Exploratory Approach.International journal of molecular sciences · 2022Article
- Proteomics for Biomarker Discovery for Diagnosis and Prognosis of Kidney Transplantation Rejection.Proteomes · 2022Review
- Driver gene detection through Bayesian network integration of mutation and expression profiles.Bioinformatics (Oxford, England) · 2022Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urine proteins can serve as viable biomarkers for diagnosing and monitoring various diseases. A comprehensive urine proteome database, generated from a variety of urine samples with different disease conditions, can serve as a reference resource for facilitating discovery of potential urine protein biomarkers. Herein, we present a urine proteome database generated from multiple datasets using 2D LC-MS/MS proteome profiling of urine samples from healthy individuals (HI), renal transplant patients with acute rejection (AR) and stable graft (STA), patients with non-specific proteinuria (NS), and patients with prostate cancer (PC). A total of ~28,000 unique peptides spanning ~2,200 unique proteins were identified with a false discovery rate of <0.5% at the protein level. Over one third of the annotated proteins were plasma membrane proteins and another one third were extracellular proteins according to gene ontology analysis. Ingenuity Pathway Analysis of these proteins revealed 349 potential biomarkers in the literature-curated database. Forty-three percentage of all known cluster of differentiation (CD) proteins were identified in the various human urine samples. Interestingly, following comparisons with five recently published urine proteome profiling studies, which applied similar approaches, there are still ~400 proteins which are unique to this current study. These may represent potential disease-associated proteins. Among them, several proteins such as serpin B3, renin receptor, and periostin have been reported as pathological markers for renal failure and prostate cancer, respectively. Taken together, our data should provide valuable information for future discovery and validation studies of urine protein biomarkers for various diseases.
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