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PXD044579

PXD044579 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleBiomarker study of symptomatic intracranial atherosclerotic stenosis in patients with acute ischemic stroke
DescriptionObjective Acute ischemic stroke is a group of diseases characterized by high morbidity, high disability, high mortality, and high recurrence, and most patients are left with varying degrees of sequelae. Symptomatic intracranial atherosclerotic stenosis (sICAS) is a major cause of acute ischemic stroke pathogenesis, and its formation and progression are influenced by a combination of pathways including lipid metabolism and inflammatory response. sICAS has a high risk of clinical recurrence. Therefore, timely and effective assessment of intracranial vascular stenosis in acute ischemic stroke is particularly important for the diagnosis of sICAS, the treatment of stroke and the prevention of stroke recurrence.Method The aim of this study was to screen for unique differential proteins that are closely associated with sICAS in patients with acute ischemic stroke. Fourteen patients with acute ischemic stroke were included and divided into stenosis and control groups according to whether the intracranial vessels were stenosed or not. First, mass spectrometry was applied to all patients included using 4D Label-free proteome quantification technology to obtain the differential proteins between the two groups. Secondly, functional enrichment analysis using GO classification, KEGG pathway, Domain and other bioinformatics libraries were used to obtain differential protein-related enrichment trends. Then, the STRING (v.11.5) protein interaction network database was applied for comparison to obtain the differential protein interactions and corresponding target proteins. Finally, PRM was applied to validate the selected target proteins.Result 1096 proteins were obtained by mass spectrometry, of which the number of quantitatively comparable proteins was 991. When P value<0.05, a change in differential expression of more than 1.3 was used as the change threshold for significant up-regulation and less than 1/1.3 was used as the change threshold for significant down-regulation, resulting in a total of 46 differential proteins screened, of which 24 proteins were significantly up-regulated and 22 proteins were significantly down-regulated. In PRM experiments, five proteins involved in lipid metabolism and inflammatory response have been validated, namely A2M ,LBP, CTSG,CST3,FABP1.Conclusion By detecting the changes of these five proteins in acute ischemic stroke patients, we can provide a basis for the diagnosis of sICAS, the treatment of stroke and the prevention of stroke recurrence, and also help to promote the development of drugs for the prevention of acute ischemic stroke recurrence by combining Chinese and Western medicine.
HostingRepositoryiProX
AnnounceDate2023-08-15
AnnouncementXMLSubmission_2024-02-21_18:42:50.525.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterYingyue Ding
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-08-14 23:32:23ID requested
12023-08-14 23:32:36announced
22024-02-21 18:42:51announced2024-02-22: Update Information
Publication List
Ding Y, Li J, Shan H, Yang S, Wang X, Zhao D, Biomarker study of symptomatic intracranial atherosclerotic stenosis in patients with acute ischemic stroke. Front Neurol, 14():1291929(2023) [pubmed]
Keyword List
submitter keyword: Acute ischemic stroke, sICAS,Recurrence, biomarkers, 4D Label-free proteome quantification technology
Contact List
Yingyue Ding
contact affiliationThe Affiliated Hospital to Changchun University of Chinese Medicine
contact email13578883346@163.com
lab head
Yingyue Ding
contact affiliationThe Affiliated Hospital to Changchun University of Chinese Medicine
contact email13578883346@163.com
dataset submitter
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