ArticleInternational journal of molecular sciences2020
Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk prediction models for diabetic nephropathy among type 2 diabetes patients in China: a systematic review and meta-analysis.Frontiers in endocrinology · 2024Pooled it
- Recent Advances in Urinary Peptide and Proteomic Biomarkers in Chronic Kidney Disease: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Article
- Proteomic Analysis Identifies Association of Periostin, a Matricellular Protein, with High Tumor Stroma and Immune Exclusion in Triple-Negative Breast Cancer.Cancer research and treatment · 2026Article
- Newly isolated human-derivediScience · 2026Article
- Integrative Analysis on the Urinary Proteome of Diabetic Kidney Disease, with an Emphasis on Extracellular Matrix Proteins.International journal of molecular sciences · 2026Article
- A nomogram prediction model incorporating noninvasive lens AGEs and conventional biochemical indicators for assessing and predicting diabetic kidney disease.Scientific reports · 2026Article
- Insights into the molecular underpinning of type 2 diabetes complications.Human molecular genetics · 2025Review
- Drosophila ubiquitin-specific peptidase 14 stabilizes the PERIOD protein by regulating a ubiquitin ligase SLIMB.Communications biology · 2025Article
- Multi-feature integrated machine learning prediction model for early nephropathy in elderly living with type 2 diabetes mellitus.Frontiers in endocrinology · 2025Article
- Proteome signature for differential diagnosis of patients with bilateral lung infiltrates.ERJ open research · 2025Article
- A novel role of peroxiredoxin 2 in diabetic kidney disease progression by activating the classically activated macrophages.Scientific reports · 2024Article
- A non-linear association between low-density lipoprotein cholesterol and the risk of diabetic kidney disease in patients with type 2 diabetes in China.Preventive medicine reports · 2024Article
- Proteomic Analysis Identifies Dysregulated Proteins in Albuminuria: A South African Pilot Study.Biology · 2024Article
- Mild renal dysfunction causes aggravated cardiac damage in type 2 diabetic patients: a comprehensive echocardiography study.Journal of medical ultrasonics (2001) · 2024Article
- Genetic variants affecting mitochondrial function provide further insights for kidney disease.BMC genomics · 2024Article
- Complement Cascade Proteins Correlate with Fibrosis and Inflammation in Early-Stage Type 1 Diabetic Kidney Disease in the Ins2Akita Mouse Model.International journal of molecular sciences · 2024Article
- Kidney Disease and Proteomics: A Recent Overview of a Useful Tool for Improving Early Diagnosis.Advances in experimental medicine and biology · 2024Article
- A new journey to predict the prognosis of diabetic kidney disease.Kidney research and clinical practice · 2023Article
- Biochemical Correction of GM2 Ganglioside Accumulation in AB-Variant GM2 Gangliosidosis.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Renal dysfunction, a major complication of type 2 diabetes, can be predicted from estimated glomerular filtration rate (eGFR) and protein markers such as albumin concentration. Urinary protein biomarkers may be used to monitor or predict patient status. Urine samples were selected from patients enrolled in the retrospective diabetic kidney disease (DKD) study, including 35 with good and 19 with poor prognosis. After removal of albumin and immunoglobulin, the remaining proteins were reduced, alkylated, digested, and analyzed qualitatively and quantitatively with a nano LC-MS platform. Each protein was identified, and its concentration normalized to that of creatinine. A prognostic model of DKD was formulated based on the adjusted quantities of each protein in the two groups. Of 1296 proteins identified in the 54 urine samples, 66 were differentially abundant in the two groups (area under the curve (AUC):
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Registered trials
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 Socratic graph.