Dataset Information

A Comparative Serum Proteomic Analysis in Large-Artery Atherosclerosis Patients Progressing to Acute Ischemic Stroke: Discovery of Predictive Biomarker Panels

ABSTRACT: To predict acute ischemic stroke (AIS) in large-artery atherosclerosis (LAA), we combined serum proteomics with machine learning to identify diagnostic biomarkers. Using a dual-cohort design, we analyzed proteins and validated targets through advanced proteomic techniques. Machine learning identified two protein panels: one distinguishing AIS from LAA and another differentiating AIS/LAA from healthy controls. These panels capture dynamic pathophysiological processes, offering scalable tools for stroke prediction in high-risk LAA populations, surpassing conventional anatomical assessments.

ORGANISM(S): Homo Sapiens

SUBMITTER: Ningshao Xia

PROVIDER: PXD061679 | iProX | Tue Mar 11 00:00:00 GMT 2025

REPOSITORIES: iProX

ACCESS DATA

Similar Datasets

Project description:Purpose: This study aimed to explore the differential expression profiles of exosomal lncRNAs and evaluated their potential utility in the accurate diagnosis of LAA stroke. Methods: LncRNA profiles of exosomes in large artery atherosclerosis stroke and controls were generated by high-throughput sequencing. The sequence reads that passed quality filters were analyzed at the transcript isoform level with Hisat2, Trapnell, STAR. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: A total of 1020 differentially expressed lncRNAs were identified in LAA stroke patients. GO and KEGG pathway analyses indicated that their target genes are involved in atherosclerosis-related pathways, including inflammation, cell adhesion, and cell migration. 8 exosomal lncRNAs were confirmed with qRT–PCR.The result showed that the expression trend of differential expressed lncRNAs in validation was consistent with RNA-seq.Conclusion: Our study showed the differential expression of lncRNAs in plasma exosomes and presented related diagnostic potential for LAA stroke for the first time. The results suggested that exosomal lncRNA could be potential diagnostic tools in LAA stroke. Circular RNAs (circRNAs), novel endogenous noncoding RNAs, play diverse roles in ischemic stroke. Recently, the abundance and stability of circRNAs in exosomes have been identified. However, a comprehensive analysis of exosomal circRNAs in large artery atherosclerotic (LAA) stroke has not yet been reported. We performed RNA sequencing (RNA-Seq) to comprehensively identify differentially expressed exosomal circRNAs in five paired LAA and normal controls. RNA-Seq identified a total of 462 circRNAs in peripheral exosomes; there were 25 differentially expressed circRNAs among them. Additionally, circRNA competing endogenous RNA (ceRNA) network and translatable analysis revealed the potential functions of the exosomal circRNAs in LAA progression. Two ceRNA pathways involving 5 circRNAs, 2 miRNAs, and 3 mRNAs were confirmed by qRT-PCR. In the validation cohort, receiver operating characteristic (ROC) curve analysis identified two circRNAs as possible novel biomarkers, and a logistic model combining two and four circRNAs increased the area under the curve compared with the individual circRNAs.

Dataset Information

A Comparative Serum Proteomic Analysis in Large-Artery Atherosclerosis Patients Progressing to Acute Ischemic Stroke: Discovery of Predictive Biomarker Panels

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets