E
Erica Gianazza
Researcher at University of Milano-Bicocca
Publications - 41
Citations - 677
Erica Gianazza is an academic researcher from University of Milano-Bicocca. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 14, co-authored 33 publications receiving 508 citations. Previous affiliations of Erica Gianazza include University of Milan.
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Journal ArticleDOI
Lipoxidation in cardiovascular diseases.
TL;DR: The current knowledge on the sources of lipids that undergo oxidation in the context of cardiovascular diseases, both from the bloodstream and tissues, and the methods for detection, characterization, and quantitation of their oxidative products and protein adducts are reviewed.
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Urinary exosomes and diabetic nephropathy: a proteomic approach
Francesca Raimondo,Samuele Corbetta,L. Morosi,Clizia Chinello,Erica Gianazza,Giovanna Castoldi,C. Di Gioia,C. Bombardi,Andrea Stella,Cristina Battaglia,Cristina Bianchi,Fulvio Magni,Marina Pitto +12 more
TL;DR: The potential of exosome proteomics for DN biomarker discovery is shown, which represents the dramatic evolution of diabetes, often leading the patients to dialysis or kidney transplantation.
Journal ArticleDOI
Alterations of the serum peptidome in renal cell carcinoma discriminating benign and malignant kidney tumors.
Erica Gianazza,Clizia Chinello,Veronica Mainini,Marta Cazzaniga,Valeria Squeo,Giancarlo Albo,Stefano Signorini,Salvatore S. Di Pierro,Stefano Ferrero,Simone Nicolardi,Yuri E. M. van der Burgt,André M. Deelder,Fulvio Magni +12 more
TL;DR: The results suggest the possibility to discriminate malignant kidney tumors based on a cluster of serum peptides and label-free approach may represent a valid method to verify results obtained by MALDI-TOF.
Journal ArticleDOI
Human urine biomarkers of renal cell carcinoma evaluated by ClinProt.
Niccolò Bosso,Clizia Chinello,Stefano Picozzi,Erica Gianazza,Veronica Mainini,Carmen Galbusera,Francesca Raimondo,Roberto A. Perego,Stefano Casellato,Francesco Rocco,Stefano Ferrero,Silvano Bosari,Paolo Mocarelli,Marzia Galli Kienle,Fulvio Magni +14 more
TL;DR: The efficacy of this cluster of signals to distinguish RCC patients grouped by tumor stage showed a sensibility of 100% for patients at the primary tumor 1 stage.
Journal ArticleDOI
Detection of high molecular weight proteins by MALDI imaging mass spectrometry
Veronica Mainini,Giorgio Bovo,Clizia Chinello,Erica Gianazza,Marco Grasso,Giorgio Cattoretti,Fulvio Magni +6 more
TL;DR: This work compares the traditional method performed with sinapinic acid with a comparable protocol using ferulic acid as the matrix and reports molecular images of biomolecules above 70k Th, demonstrating the possibility of expanding the application of this technology both in clinical investigations and basic science.