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PXD067712-1

PXD067712 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleExploring potential biomarkers for myasthenia gravis based on serum proteomics
DescriptionThis study aims to analyze serum protein changes in patients with myasthenia gravis (MG) via proteomics to identify and validate potential biomarkers. Methods: Serum samples were collected from 10 MG patients and 10 healthy controls. The data-independent acquisition (DIA) quantitative proteomics technique was used to measure serum protein levels and identify differentially expressed proteins. Functional enrichment analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA), were performed to determine the enrichment trends of the differentially expressed proteins. On the basis of the p values from the enrichment analysis, hierarchical clustering was used to identify significantly enriched pathways in each group. The STRING database was used to construct protein–protein interaction networks of the differentially expressed proteins, identifying the top 50 most closely interacting protein subnetworks and their associated pathways. The target proteins were then validated via mass spectrometry-based targeted proteomics (PRM). Receiver operating characteristic (ROC) curves were plotted for visual analysis. Additionally, serum samples from 20 MG patients and 20 healthy controls(HCs) were collected to validate the proteomic results via enzyme-linked immunosorbent assay (ELISA). Results: A total of 220 differentially expressed proteins were identified between the MG and healthy control groups, with 49 upregulated proteins and 171 downregulated proteins. The differentially expressed proteins were primarily involved in the complement coagulation cascade, tight junctions, actin cytoskeleton regulation, and the Rap1 signaling pathway. PRM validation confirmed the involvement of five proteins—protein S (PROS1), protein C (PROC), C4b-binding protein alpha chain (C4BPA), profilin-1 (PFN1), and talin-1 (TLN1)—in the coagulation-complement-inflammation-cytoskeleton damage cascade. ROC curve analysis revealed that the area under the curve (AUC) for PROS1, PROC, C4BPA, PFN1, and TLN1 was greater than 0.8, indicating their strong diagnostic potential. ELISAs revealed significantly elevated levels of PROS1, PROC, and C4BPA in the MG group compared with the control group (p < 0.01) and significantly decreased levels of PFN1 and TLN1 (p < 0.05, p < 0.01). Conclusion: PROS1, PROC, C4BPA, PFN1, and TLN1 may serve as novel biomarkers for the early screening of Myasthenia Gravis.
HostingRepositoryiProX
AnnounceDate2025-08-26
AnnouncementXMLSubmission_2025-08-25_18:35:02.947.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterZhiguo Lv
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-08-25 18:34:43ID requested
12025-08-25 18:35:03announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: myasthenia gravis
proteomics
biomarkers
complement coagulation cascade
Cytoskeleton
Contact List
Zhiguo Lv
contact affiliationChangchun University of Chinese Medicine
contact emaillvzhuolunvip@163.com
lab head
Zhiguo Lv
contact affiliationChangchun University of Chinese Medicine
contact emaillvzhuolunvip@163.com
dataset submitter
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