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iTRAQ-based comparative proteomics analysis reveals specific urinary biomarkers for various kidney diseases
Juan Jin1,2,3, Jianguang Gong1,2,3, Li Zhao1,2,3
1Department of Nephrology, Zhejiang Provincial People's Hospital, Zhejiang 310014, PR China.
Biomarkers in Medicine
|August 29, 2020
Summary
This study identified unique protein biomarkers in various kidney diseases, including acute kidney injury (AKI) and chronic kidney disease (CKD). Findings aid in discovering novel urinary biomarkers for better disease diagnosis and management.
Area of Science:
- Proteomics
- Renal disease research
- Biomarker discovery
Background:
- Limited proteomic data exists for multiple concurrent renal diseases.
- Understanding protein expression changes is crucial for diagnosing and managing kidney conditions.
Purpose of the Study:
- To identify differentially expressed proteins (DEPs) across various renal disease states.
- To discover potential urinary biomarkers for acute kidney injury (AKI) and chronic kidney disease (CKD).
Main Methods:
- Utilized isobaric tags for relative and absolute quantitation (iTRAQ) labeling for proteomic analysis.
- Compared protein expression profiles in AKI, AKI + CKD, diabetic CKD, and nondiabetic CKD (with or without IgA nephropathy).
Main Results:
- Identified unique DEPs in AKI (34), AKI + CKD (35), CKD (17), diabetic CKD (91), and nondiabetic CKD (14).
- Found 47 unique DEPs in nondiabetic CKD without IgA nephropathy compared to those with it.
- Observed upregulation of Serum amyloid A1 (SAA1) in AKI and hepatocyte growth factor activator in nondiabetic CKD without IgAN. Regenerating islet-derived protein 3-α (Reg3A) was upregulated in AKI and AKI + CKD.
Conclusions:
- This proteomic study provides a comprehensive list of DEPs across multiple renal disease contexts.
- The identified proteins, such as SAA1 and Reg3A, represent potential urinary biomarkers for AKI and CKD.
- Contributes valuable data for advancing urinary biomarker discovery in nephrology.
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