Differential Proteome Profiling Using iTRAQ in Microalbuminuric and Normoalbuminuric Type 2 Diabetic Patients

Author:

Jin Jonghwa1,Ku Yun Hyi2,Kim Yikwon1,Kim Yeonjung1,Kim Kyunggon1,Lee Ji Yoon3,Cho Young Min2,Lee Hong Kyu2,Park Kyong Soo24,Kim Youngsoo1

Affiliation:

1. Department of Biomedical Sciences, Seoul National University College of Medicine, 28 Yongon-Dong, Seoul 110-799, Republic of Korea

2. Department of Internal Medicine, Seoul National University College of Medicine, 28 Yongon-Dong, Seoul 110-799, Republic of Korea

3. National Instrumentation Center for Environmental Management, Seoul National University, Seoul 151-921, Republic of Korea

4. Genome Research Center for Diabetes and Endocrine Disease, Seoul National University College of Medicine, 28 Yongon-Dong, Seoul 110-799, Republic of Korea

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.

Funder

Ministry of Science and Technology

Publisher

Hindawi Limited

Subject

General Medicine,Endocrinology, Diabetes and Metabolism

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1. Insulin and the kidneys: a contemporary view on the molecular basis;Frontiers in Nephrology;2023-08-03

2. MicroRNA: Potential biomarkers in chronic kidney disease;Acta Facultatis Medicae Naissensis;2023

3. Proteomic Biomarkers: What They Are and How Type 2 Diabetes Mellitus Has Similarities with Other Diseases;Biomarkers in Diabetes;2022

4. Proteomic advances in salivary diagnostics;Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics;2020-11

5. Insights into predicting diabetic nephropathy using urinary biomarkers;Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics;2020-10

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