PXD025547

PXD025547 is an original dataset announced via ProteomeXchange.

Title	Proteomic Analysis of Urinary Extracellular Vesicles Reveals a Role for the Complement System in Medullary Sponge Kidney Disease
Description	Medullary sponge kidney (MSK) disease is a rare and neglected kidney condition often associated with nephrocalcinosis/nephrolithiasis and cystic anomalies in the precalyceal ducts. Little is known about the pathogenesis of this disease, so we addressed the knowledge gap using a proteomics approach. The protein content of microvesicles/ exosomes isolated from urine of 15 MSK and 15 idiopathic calcium nephrolithiasis (ICN) patients was investigated by mass spectrometry, followed by weighted gene coexpression network analysis, support vector machine (SVM) learning, and partial least squares discriminant analysis (PLS-DA) to select the most discriminative proteins. Proteomic data were verified by ELISA. We identified 2998 proteins in total, 1764 (58.9%) of which were present in both vesicle types in both diseases. Among the MSK samples, only 65 (2.2%) and 137 (4.6%) proteins were exclusively found in the microvesicles and exosomes, respectively. Similarly, among the ICN samples, only 75 (2.5%) and 94 (3.1%) proteins were exclusively found in the microvesicles and exosomes, respectively. SVM learning and PLS- DA revealed a core panel of 20 proteins that distinguished extracellular vesicles representing each clinical condition with an accuracy of 100%. Among them, three exosome proteins involved in the lectin complement pathway maximized the discrimination between MSK and ICN: Ficolin 1, Mannan-binding lectin serine protease 2 and Complement component 4-binding protein β. ELISA confirmed proteomic results. Our data show that the complement pathway is involved in MSK, revealing a new range of potential therapeutic targets and early diagnostic biomarkers.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:52:06.825.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Martina Bartolucci
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	acetylated residue; monohydroxylated residue; deamidated residue; iodoacetamide derivatized residue
Instrument	Orbitrap Fusion ETD

Revision	Datetime	Status	ChangeLog Entry
0	2021-04-22 00:23:23	ID requested
1	2022-01-14 07:51:18	announced
⏵ 2	2023-11-14 08:52:07	announced	2023-11-14: Updated project metadata.

Dataset with its publication pending

submitter keyword: medullary sponge kidney

idiopathic calcium nephrolithiasis

complement system

proteomics

Andrea Petretto
contact affiliation	IRCCS Ist G. Gaslini
contact email	a.petretto@gmail.com
lab head
Martina Bartolucci
contact affiliation	IRCCS Gaslini
contact email	smartibartolucci@gmail.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD025547
     1. Label: PRIDE project
     2. Name: Proteomic Analysis of Urinary Extracellular Vesicles Reveals a Role for the Complement System in Medullary Sponge Kidney Disease