ArticleExperimental diabetes research2012
Differential proteome profiling using iTRAQ in microalbuminuric and normoalbuminuric type 2 diabetic patients.
Article in Experimental diabetes research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- [Early detection by urinary proteome analysis : A new concept in patient management of diabetic nephropathy].Der Internist · 2020Pooled it
- Urine miRNAs: potential biomarkers for monitoring progression of early stages of diabetic nephropathy.Medical hypotheses · 2013Trial
- Insulin and the kidneys: a contemporary view on the molecular basis.Frontiers in nephrology · 2023Review
- Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology.Molecular medicine reports · 2020Article
- Urinary peptidomics and bioinformatics for the detection of diabetic kidney disease.Scientific reports · 2020Article
- MicroRNA-451 as an Early Predictor of Chronic Kidney Disease in Diabetic Nephropathy.International journal of nephrology · 2020Article
- Article
- Urinary cell-free mitochondrial and nuclear deoxyribonucleic acid correlates with the prognosis of chronic kidney diseases.BMC nephrology · 2019Article
- Stem cell-derived extracellular vesicles inhibit and revert fibrosis progression in a mouse model of diabetic nephropathy.Scientific reports · 2019Article
- iTRAQ plasma proteomics analysis for candidate biomarkers of type 2 incipient diabetic nephropathy.Clinical proteomics · 2019Article
- Urinary Proteomics for the Early Diagnosis of Diabetic Nephropathy in Taiwanese Patients.Journal of clinical medicine · 2018Article
- Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.Journal of the American Society of Nephrology : JASN · 2017Review
- The serum protein responses to treatment with Xiaoke Pill and Glibenclamide in type 2 diabetes patients.Clinical proteomics · 2017Article
- Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy.Current diabetes reports · 2016Review
- Urinary alpha-1 antitrypsin and CD59 glycoprotein predict albuminuria development in hypertensive patients under chronic renin-angiotensin system suppression.Cardiovascular diabetology · 2016Article
- A Systems Biology Overview on Human Diabetic Nephropathy: From Genetic Susceptibility to Post-Transcriptional and Post-Translational Modifications.Journal of diabetes research · 2016Review
- Development of Diagnostic Biomarkers for Detecting Diabetic Retinopathy at Early Stages Using Quantitative Proteomics.Journal of diabetes research · 2016Article
- Differential urinary glycoproteome analysis of type 2 diabetic nephropathy using 2D-LC-MS/MS and iTRAQ quantification.Journal of translational medicine · 2015Article
- Albumin-induced apoptosis of tubular cells is modulated by BASP1.Cell death & disease · 2015Article
- Quantitative mass spectrometry of urinary biomarkers.Journal of integrated OMICS · 2014Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic nephropathy (DN) is a long-term complication of diabetes mellitus that leads to end-stage renal disease. Microalbuminuria is used for the early detection of diabetic renal damage, but such levels do not reflect the state of incipient DN precisely in type 2 diabetic patients because microalbuminuria develops in other diseases, necessitating more accurate biomarkers that detect incipient DN. Isobaric tags for relative and absolute quantification (iTRAQ) were used to identify urinary proteins that were differentially excreted in normoalbuminuric and microalbuminuric patients with type 2 diabetes where 710 and 196 proteins were identified and quantified, respectively. Some candidates were confirmed by 2-DE analysis, or validated by Western blot and multiple reaction monitoring (MRM). Specifically, some differentially expressed proteins were verified by MRM in urine from normoalbuminuric and microalbuminuric patients with type 2 diabetes, wherein alpha-1-antitrypsin, alpha-1-acid glycoprotein 1, and prostate stem cell antigen had excellent AUC values (0.849, 0.873, and 0.825, resp.). Moreover, we performed a multiplex assay using these biomarker candidates, resulting in a merged AUC value of 0.921. Although the differentially expressed proteins in this iTRAQ study require further validation in larger and categorized sample groups, they constitute baseline data on preliminary biomarker candidates that can be used to discover novel biomarkers for incipient DN.
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