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PXD047778

PXD047778 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDeep Proteomic Analysis for Non-Invasive Left Atrial Appendage Thrombus Prediction in Patients with Non-Valvular Atrial Fibrillation
DescriptionMethods: Deep proteomic analysis on plasma from 8 non-valvular AF patients categorized into thrombus and control groups based on LAAT presence was conducted. Identified biomarkers were validated using enzyme-linked immunosorbent assay in a cohort of 179 patients, with clinical, transthoracic echocardiography, and transesophageal echocardiography data collected. A Lasso regression-based predictive model was constructed. Results: The Thrombus group had higher CHA2DS2-VASc scores, larger left atrial appendage thrombus (LAA) diameter, and lower LAA flow velocity. Deep proteomic analysis identified 30 differentially expressed proteins, with MYL4, PCYOX1, and DCN selected as diagnostic biomarkers (P<0.0001). The model included MYL4, PCYOX1, DCN, LAA cauliflower morphology, and CHA2DS2-VASc score. The model's area under the curve is 0.983. Additionally, net reclassification improvement and integrated discrimination improvement indices were also calculated, yielding values of 1.797 and 0.740, respectively, indicating a substantial improvement in risk prediction and classification over the conventional CHA2DS2-VASc model alone. Conclusions: Elevated MYL4, decreased PCYOX1 and DCN levels, and cauliflower LAA morphology are independent risk factors. Incorporating these variables into the prediction model improves the diagnostic performance of the LAAT prediction model, potentially offering a non-invasive and clinically valuable approach to stroke prevention. Keywords: Atrial Fibrillation; Thrombosis; Proteomics
HostingRepositoryiProX
AnnounceDate2023-12-12
AnnouncementXMLSubmission_2024-06-30_20:56:30.108.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterZhonghui Xie
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-12-12 21:59:32ID requested
12024-06-30 20:56:30announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Atrial Fibrillation, Thrombosis, Proteomics
Contact List
Yang Li
contact affiliationSenior Department of Cardiology, The Sixth Medical Center of PLA General Hospital, Fucheng Road, Haidian District, Beijing 100048, China
contact emailliyangbss@163.com
lab head
Zhonghui Xie
contact affiliationDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
contact emailxiezhonghui92@163.com
dataset submitter
Full Dataset Link List
iProX dataset URI