Biomarkers of Atrial Fibrillation Complicated With Stroke Based on Proteomics and Metabolomics

• Conditions: Atrial Fibrillation; Stroke
• Interventions: Diagnostic Test: Proteomics; Diagnostic Test: Metabolomics

• Registration Number: NCT05181787
• Lead Sponsor: Yue LI

Brief Summary

Thrombus shedding in patients with atrial fibrillation (AF) can lead to cerebral artery embolism. Stroke caused by AF is very dangerous, which not only threatens the life of patients, but also seriously affects the quality of life. This study aims to explore the biomarkers of stroke in patients with AF by integrating proteomics and metabolomics data, and establish the network relationship of stroke in patients with AF, so as to reveal the molecular mechanism of stroke in patients with AF.

Detailed Description

Not available

Study Timeline

• Study Start: 2021-12-20
• Study First Submitted: 2021-12-20
• Study First Submitted QC: 2021-12-20
• Status Verified: 2022-01
• Study First Posted: 2022-01-06
• Last Update Submitted: 2022-01-08
• Last Update Posted: 2022-01-25
• Primary Completion: 2023-12-31
• Study Completion: 2023-12-31

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 200

Inclusion Criteria

1. Age 18 years or above
2. Admission with atrial fibrillation or clinic visit for atrial fibrillation
3. Receive routine anticoagulant therapy;
4. Signing the consent form

Exclusion Criteria

1. Pregnant women;
2. Lactating women;
3. Severe mitral stenosis;
4. Severe impairment of liver function;
5. Severe renal insufficiency;
6. Thyroid dysfunction requiring treatment.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
AF and stroke	Metabolomics	Patients with AF complicated with stroke
AF	Proteomics	Patients with AF
AF	Metabolomics	Patients with AF
AF and stroke	Proteomics	Patients with AF complicated with stroke

Primary Outcome Measures

Name	Time	Method
Biomarkers of atrial fibrillation complicated with stroke based on proteomics and metabolomics	1 day	By combining proteomics and metabolomics data, the investigators were able to identify the common pathways involved in AF with stroke.

Secondary Outcome Measures

Name	Time	Method
Quantitative changes of individual metabolites and proteins were calculated and graphed using the KEGG mapping tools.	1 day
By combining proteomics and metabolomics data, the investigators were able to identify the common pathways involved in AF with stroke.	1 day
All of the omics data were used to compare proteins/enzymes with metabolic pathways.	1 day

Trial Locations

Locations (1)

Yan; 🇨🇳 Harbin, Heilongjiang, China