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Dataset Information

Potential Protein Signatures for Recurrence Prediction of Ischemic Stroke.


ABSTRACT:

Background

Acute ischemic stroke is a major cause of mortality and disability worldwide, with approximately 7.4% to 7.7% recurrence within the first 3 months. This study aimed to identify potential biomarkers for predicting stroke recurrence.

Methods and results

We conducted a nested case-control study using a hospital-based cohort from the Third China National Stroke Registry selecting 214 age- and sex-matched patients with ischemic stroke with hypertension and no history of diabetes or heart disease. Using data-independent acquisition for discovery and multiple reaction monitoring for quantitative validation, we identified 26 differentially expressed proteins in large-artery atherosclerosis (Causative Classification of Ischemic Stroke [CCS]1), 16 in small-artery occlusion

SUBMITTER: Zhang C 

PROVIDER: S-EPMC10944055 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature