ArticleProteomes2018
Proteome Profiling of Diabetic Mellitus Patient Urine for Discovery of Biomarkers by Comprehensive MS-Based Proteomics.
Article in Proteomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Analysis of Urinary Proteome Modifications in Patients with Different Glycated Hemoglobin A1c Levels.International journal of molecular sciences · 2026Article
- Peptide profiling in cow urine reveals molecular signature of physiology-driven pathways and in-silico predicted bioactive properties.Scientific reports · 2021Article
- Identification of Key Candidate Genes and Chemical Perturbagens in Diabetic Kidney Disease Using Integrated Bioinformatics Analysis.Frontiers in endocrinology · 2021Article
- Article
- Recent advances in mass spectrometry based clinical proteomics: applications to cancer research.Clinical proteomics · 2020Review
- Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project.Journal of proteome research · 2019Article
- Molecular Network Analysis of the Urinary Proteome of Alzheimer's Disease Patients.Dementia and geriatric cognitive disorders extraArticle
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic mellitus (DM) is a disease that affects glucose homeostasis and causes complications, such as diabetic nephropathy (DN). For early diagnosis of DN, microalbuminuria is currently one of the most frequently used biomarkers. However, more early diagnostic biomarkers are desired in addition to microalbuminuria. In this study, we performed comprehensive proteomics analysis of urine proteomes of diabetic mellitus patients without microalbuminuria and healthy volunteers to compare the protein profiles by mass spectrometry. With high confidence criteria, 942 proteins in healthy volunteer urine and 645 proteins in the DM patient urine were identified with label-free semi-quantitation, respectively. Gene ontology and pathway analysis were performed with the proteins, which were up- or down-regulated in the DM patient urine to elucidate significant changes in pathways. The discovery of a useful biomarker for early DN discovery is expected.
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