ArticleScientific reports2020
Urinary peptidomics and bioinformatics for the detection of diabetic kidney disease.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 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
- Urinary Uromodulin for Distinguishing Between Glomerulonephritis, Diabetic Kidney Disease, and Nephrosclerosis in a Biopsy-Proven Cohort.Diagnostics (Basel, Switzerland) · 2026Article
- Cathepsin H increases the risk of diabetic retinopathy: evidence from Mendelian randomization and bioinformatic analysis.Diabetology & metabolic syndrome · 2025Article
- Prediction Modeling With Many Correlated and Zero-Inflated Predictors: Assessing the Nonnegative Garrote Approach.Statistics in medicine · 2025Article
- Insights into the molecular underpinning of type 2 diabetes complications.Human molecular genetics · 2025Review
- Protein Biomarkers of Ultra-Processed Food Consumption and Risk of Coronary Heart Disease, Chronic Kidney Disease, and All-Cause Mortality.The Journal of nutrition · 2024Article
- Randomized Trial of SGLT2 Inhibitor Identifies Target Proteins in Diabetic Kidney Disease.Kidney international reports · 2024Article
- Neurobiochemical, Peptidomic, and Bioinformatic Approaches to Characterize Tauopathy Peptidome Biomarker Candidates in Experimental Mouse Model of Traumatic Brain Injury.Molecular neurobiology · 2023Article
- Mechanisms Linking COPD to Type 1 and 2 Diabetes Mellitus: Is There a Relationship between Diabetes and COPD?Medicina (Kaunas, Lithuania) · 2022Review
- Fluorescence Imaging Using Enzyme-Activatable Probes for Detecting Diabetic Kidney Disease and Glomerular Diseases.International journal of molecular sciences · 2022Article
- Peptidomics analysis reveals changes in small urinary peptides in patients with interstitial cystitis/bladder pain syndrome.Scientific reports · 2022Article
- Recent advances in nephropathy biomarker detections using paper-based analytical devices.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2022Review
- Urinary peptidomics reveals proteases involved in idiopathic membranous nephropathy.BMC genomics · 2021Article
- Urinary Protein and Peptide Markers in Chronic Kidney Disease.International journal of molecular sciences · 2021Review
- Therapeutic Potential of Alpha-1 Antitrypsin in Type 1 and Type 2 Diabetes Mellitus.Medicina (Kaunas, Lithuania) · 2021Review
- Risk Factors for Albuminuria in Normotensive Older Adults with Type 2 Diabetes Mellitus and Normal Renal Function: A Cross-Sectional Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to establish a peptidomic profile based on LC-MS/MS and random forest (RF) algorithm to distinguish the urinary peptidomic scenario of type 2 diabetes mellitus (T2DM) patients with different stages of diabetic kidney disease (DKD). Urine from 60 T2DM patients was collected: 22 normal (stage A1), 18 moderately increased (stage A2) and 20 severely increased (stage A3) albuminuria. A total of 1080 naturally occurring peptides were detected, which resulted in the identification of a total of 100 proteins, irrespective of the patients' renal status. The classification accuracy showed that the most severe DKD (A3) presented a distinct urinary peptidomic pattern. Estimates for peptide importance assessed during RF model training included multiple fragments of collagen and alpha-1 antitrypsin, previously associated to DKD. Proteasix tool predicted 48 proteases potentially involved in the generation of the 60 most important peptides identified in the urine of DM patients, including metallopeptidases, cathepsins, and calpains. Collectively, our study lightened some biomarkers possibly involved in the pathogenic mechanisms of DKD, suggesting that peptidomics is a valuable tool for identifying the molecular mechanisms underpinning the disease and thus novel therapeutic targets.
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