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Updated: Apr 5, 2026

Proteomic Profile of EPS-Urine through FASP Digestion and Data-Independent Analysis
Published on: May 8, 2021
Complementary LC-MS/MS Proteomic Analysis of Uremic Plasma Proteins
Uzma Naseeb1, Jonas Axelsson2, Theres Jägerbrink3
1Department of Medical Biochemistry and Biophysics / Clinical Science, Intervention and Technology2, Karolinska Institutet, Stockholm, Sweden. / National Center for Proteomics, University of Karachi, Karachi.
Liquid chromatography-tandem mass spectrometry (LC-MS/MS) identified more proteins in uremic plasma than previous methods. This technique enhances proteomic analysis in clinical settings for chronic kidney disease patients.
Area of Science:
- Proteomics
- Clinical Mass Spectrometry
- Renal Disease Biomarkers
Background:
- Uremic plasma exhibits altered protein profiles compared to healthy individuals.
- Previous analyses utilized MALDI-TOF mass spectrometry for protein identification.
Purpose of the Study:
- To enhance protein identification in uremic plasma by incorporating LC-MS/MS analysis.
- To complement prior proteomic findings from MALDI-TOF mass spectrometry.
- To assess the applicability of LC-MS/MS in clinical proteomics.
Main Methods:
- Plasma samples from seven chronic kidney disease stage 5 patients and seven matched controls were analyzed.
- Proteins were separated using SDS-PAGE and HPLC after immunodepletion.
- Tryptic peptides were identified using LC-MS/MS.
Main Results:
- LC-MS/MS identified approximately twice as many increased proteins in uremic plasma compared to previous analyses.
- Identified proteins included complementary subunits of protein complexes, enhancing the proteomic landscape.
- The study demonstrated increased protein identifications with the addition of LC-MS/MS.
Conclusions:
- Mass spectrometry, particularly LC-MS/MS, is effective for analyzing complex plasma proteomes in clinical environments.
- LC-MS/MS, based on peptide sequence analysis, offers superior protein identification capabilities.
- The study confirms the feasibility and clinical utility of LC-MS/MS for diagnosing and monitoring kidney disease.
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