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Multisystem Inflammatory Syndrome in Children Disease characterization and diagnostics using mass-spectrometry-based proteomics and artificial intelligence

ABSTRACT: 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.

INSTRUMENT(S): Orbitrap Exploris 480

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Multisystem Inflammatory Syndrome In Children

SUBMITTER: Lylia Drici

LAB HEAD: Nicolai Jacob Wewer Albrechtsen

PROVIDER: PXD045661 | Pride | 2024-05-14

REPOSITORIES: Pride

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			Action	DRS
	20221130_EXPL11_EVO8_LD_MIS-C_Plate1_170428.raw	Raw
	20221130_EXPL11_EVO8_LD_MIS-C_Plate1_170741.raw	Raw
	20221130_EXPL11_EVO8_LD_MIS-C_Plate1_170981.raw	Raw
	20221130_EXPL11_EVO8_LD_MIS-C_Plate1_171092.raw	Raw
	20221130_EXPL11_EVO8_LD_MIS-C_Plate1_171237.raw	Raw

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