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Plasma proteome fingerprint in kidney diseases
Kirill S Nikolsky1, Arthur T Kopylov1, Valeriya I Nakhod1
1Laboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Frontiers in Molecular Biosciences
|February 3, 2025
Summary
This study analyzed blood plasma proteins in kidney disease patients. Findings show similar proteomic profiles across kidney calculus, cyst, and cancer, enabling classification with 70-80% accuracy.
Area of Science:
- Biochemistry
- Proteomics
- Nephrology
Background:
- Kidney diseases are a major health concern with high prevalence and mortality.
- Early diagnosis is vital to prevent progression and reduce the need for costly renal replacement therapies.
- Common kidney pathologies like calculus, cyst, and cancer often present asymptomatically until advanced stages.
Purpose of the Study:
- To investigate the protein composition of blood plasma in patients with kidney calculus, cyst, and cancer.
- To identify potential proteomic biomarkers for early kidney disease detection.
- To analyze similarities in proteomic profiles among different kidney pathologies.
Main Methods:
- Analysis of blood plasma from 75 subjects with common kidney pathologies.
- Identification of specific proteins (CFB, SERPINA3, HPX, HRG, SERPING1, HBB, ORM2, CP) associated with kidney diseases.
- Characterization of phosphorylated proteoforms (CFB, C4A/C4B, F2, APOB, TTR, NRAP) and their modification sites.
Main Results:
- Similar proteomic profiles were observed across the studied kidney pathologies.
- Specific phosphorylated proteoforms were identified and their modification sites mapped.
- Patients could be classified into kidney pathology groups with 70-80% accuracy based on proteomic data.
Conclusions:
- The proteomic profile of blood plasma can serve as a basis for classifying kidney pathologies.
- Proteomic analysis offers a promising approach for the early detection and differentiation of kidney diseases.
- Further research into these proteomic signatures could lead to improved diagnostic tools for nephrological conditions.
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