Proteomics

Dataset Information

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Urinary proteome in diabetic nephropathy


ABSTRACT: Urinary proteome was analyzed and quantified by Tandem Mass Tag (TMT) labeling followed by bioinformatics analysis to study DN pathophysiology and to identify biomarkers of clinical outcome. We included type 2 diabetic normotensive non-obese males with and without incipient DN (microalbuminuria). Sample collection included blood and urine at baseline (control and DN-basal) and, in DN patients, after 3 months of losartan treatment (DN-treated). Urinary proteome analysis identified 166 differentially abundant proteins between controls and DN patients, 27 comparing DN-treated and DN-basal patients, and 182 between DN-treated patients and controls. Mathematical modeling analysis identified 80 key proteins involved in DN pathophysiology, 15 in losartan effect and 7 of these 95 are essential in both processes. VCAM-1 and neprilysin are the only ones that are differentially expressed in the urinary proteome. We observed an increase of VCAM-1 urine levels in DN-basal patients compared to diabetic controls and an increase of urinary neprilysin in DN-treated patients with persistent albuminuria, the latter confirmed by ELISA . Our results point to neprilysin and VCAM-1 as potential candidates in DN pathology and treatment.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

DISEASE(S): Type 2 Diabetes Mellitus

SUBMITTER: Montserrat Carrascal  

LAB HEAD: Montserrat Carrascal

PROVIDER: PXD009303 | Pride | 2018-05-22

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
2014_479_PFL_Fr1.RAW Raw
2014_479_PFL_Fr2.RAW Raw
2014_479_PFL_Fr3.RAW Raw
2014_479_PFL_Fr4.RAW Raw
2014_479_PFL_Fr5.RAW Raw
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Publications


The molecular processes and proteomic markers leading to tumor progression (TP) in cervical cancer (CC) are either unknown or only partially understood. TP affects metabolic and regulatory mechanisms that can be identified as proteomic changes. To identify which proteins are differentially expressed and to understand the mechanisms of cancer progression, we analyzed the dynamics of the tumor proteome in CC cell lines. This analysis revealed two proteins that are up-regulated during TP, GSTM3 and  ...[more]

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