Urinary proteins detected using modern proteomics intervene in early type 2 diabetic kidney disease – a pilot study
Autor: | Ligia Petrica, Cristian V.A. Munteanu, Anca Simulescu, Florica Gadalean, Octavian Cretu, Flaviu Bob, Oana Milas, Adrian Vlad, Mihaela Patruica, Maria Mogos-Stefan, Mirela Sarbu, Cristina Gluhovschi, Alina Golea-Secara, Alina D. Zamfir, Silvia Velciov |
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Rok vydání: | 2020 |
Předmět: |
Male
Proteomics 0301 basic medicine Proteome Clinical Biochemistry 030232 urology & nephrology Pilot Projects Lipocalin Kidney Function Tests Bioinformatics 03 medical and health sciences 0302 clinical medicine Drug Discovery medicine Albuminuria Humans Diabetic Nephropathies Biomarker discovery education Aged education.field_of_study business.industry Biochemistry (medical) Type 2 Diabetes Mellitus Middle Aged Hemoglobin subunit delta medicine.disease 030104 developmental biology Diabetes Mellitus Type 2 Female Kidney Diseases medicine.symptom Peptides business Biomarkers Kidney disease |
Zdroj: | Biomarkers in Medicine. 14:1521-1536 |
ISSN: | 1752-0371 1752-0363 |
DOI: | 10.2217/bmm-2020-0308 |
Popis: | 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. |
Databáze: | OpenAIRE |
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