Urinary proteins detected using modern proteomics intervene in early type 2 diabetic kidney disease – a pilot study
In: Biomarkers in Medicine, Jg. 14 (2020-11-01), S. 1521-1536
Online
unknown
Zugriff:
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.
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Urinary proteins detected using modern proteomics intervene in early type 2 diabetic kidney disease – a pilot study
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| Autor/in / Beteiligte Person: | Petrica, Ligia ; Cristian V.A. Munteanu ; Simulescu, Anca ; Gadalean, Florica ; Cretu, Octavian ; Bob, Flaviu ; Milas, Oana ; Vlad, Adrian ; Patruica, Mihaela ; Mogos-Stefan, Maria ; Sarbu, Mirela ; Gluhovschi, Cristina ; Golea-Secara, Alina ; Zamfir, Alina D. ; Velciov, Silvia |
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| Zeitschrift: | Biomarkers in Medicine, Jg. 14 (2020-11-01), S. 1521-1536 |
| Veröffentlichung: | Future Medicine Ltd, 2020 |
| Medientyp: | unknown |
| ISSN: | 1752-0371 (print) ; 1752-0363 (print) |
| DOI: | 10.2217/bmm-2020-0308 |
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