These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Urinary proteins detected using modern proteomics intervene in early type 2 diabetic kidney disease - a pilot study.
    Author: 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, Zamfir AD.
    Journal: Biomark Med; 2020 Nov; 14(16):1521-1536. PubMed ID: 33090017.
    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.
    [Abstract] [Full Text] [Related] [New Search]