PXD045661

PXD045661 is an original dataset announced via ProteomeXchange.

Title	Multisystem Inflammatory Syndrome in Children Disease characterization and diagnostics using mass-spectrometry-based proteomics and artificial intelligence
Description	During the COVID-19 pandemic, Multisystem Inflammatory Syndrome in Children (MIS-C) emerged as a disease with unknown causes and no specific diagnostic test. We used artificial intelligence in a nationwide study from April 2020 to March 2022 to identify a 4-protein diagnostic signature for MIS-C. This signature had an AUC of 1.0 for distinguishing MIS-C from other febrile diseases. Our analysis also revealed intricate protein patterns, indicating that MIS-C is associated with immune dysregulation, lipid metabolism changes, increased coagulation activity, and tissue remodeling.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_06:39:15.458.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Lylia Drici
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Exploris 480

Revision	Datetime	Status	ChangeLog Entry
0	2023-09-25 09:07:49	ID requested
1	2024-05-14 14:15:05	announced
⏵ 2	2024-10-22 06:39:15	announced	2024-10-22: Updated project metadata.

Dataset with its publication pending

submitter keyword: Human plasma, mass spectrometry, LC-MS, MIS-C, Arteficial intelligence

Nicolai Jacob Wewer Albrechtsen
contact affiliation	- Department of Clinical Biochemistry, Copenhagen University Hospital - Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark - NNF Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen
contact email	nicolai.albrechtsen@regionh.dk
lab head
Lylia Drici
contact affiliation	Novo Nordisk foundation Center for Protein Research
contact email	lylia.drici@cpr.ku.dk
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2024/05/PXD045661

PRIDE project URI

• PRIDE
  1. PXD045661
     1. Label: PRIDE project
     2. Name: Multisystem Inflammatory Syndrome in Children Disease characterization and diagnostics using mass-spectrometry-based proteomics and artificial intelligence