1. Urinary proteins detected using modern proteomics intervene in early type 2 diabetic kidney disease - a pilot study.
- Author
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Golea-Secara A, Munteanu C, Sarbu M, Cretu OM, Velciov S, Vlad A, Bob F, Gadalean F, Gluhovschi C, Milas O, Simulescu A, Mogos-Stefan M, Patruica M, Petrica L, and Zamfir AD
- Subjects
- Aged, Albuminuria diagnosis, Albuminuria urine, Biomarkers urine, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 urine, Diabetic Nephropathies urine, Female, Humans, Kidney Diseases diagnosis, Kidney Diseases urine, Kidney Function Tests, Male, Middle Aged, Peptides, Pilot Projects, Proteome analysis, Proteomics methods, Diabetes Mellitus, Type 2 physiopathology, Diabetic Nephropathies diagnosis
- Abstract
Aim: An advanced proteomics platform for protein biomarker discovery in diabetic chronic kidney disease (DKD) was developed, validated and implemented. Materials & methods: Three Type 2 diabetes mellitus patients and three control subjects were enrolled. Urinary peptides were extracted, samples were analyzed on a hybrid LTQ-Orbitrap Velos Pro instrument. Raw data were searched using the SEQUEST algorithm and integrated into Proteome Discoverer platform. Results & discussion: Unique peptide sequences, resulted sequence coverage, scoring of peptide spectrum matches were reported to albuminuria and databases. Five proteins that can be associated with early DKD were found: apolipoprotein AI, neutrophil gelatinase-associated lipocalin, cytidine deaminase, S100-A8 and hemoglobin subunit delta. Conclusion: Urinary proteome analysis could be used to evaluate mechanisms of pathogenesis of DKD.
- Published
- 2020
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