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

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05181787

Enrollment

200

Registered

2022-01-06

Start date

2021-12-20

Completion date

2023-12-31

Last updated

2022-01-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atrial Fibrillation, Stroke

Keywords

Atrial Fibrillation, Stroke, metabolomics, proteomics, Biomarkers

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.

Interventions

DIAGNOSTIC_TESTProteomics

Proteomic data were obtained by LC-MS/MS Analysis-DIA platform.

DIAGNOSTIC_TESTMetabolomics

Metabolomic data were obtained by UPLC-QTOF/MS platform.

Study design

Observational model

CASE_CONTROL

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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.

Design outcomes

Primary

Measure	Time frame	Description
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

Measure	Time frame
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
Quantitative changes of individual metabolites and proteins were calculated and graphed using the KEGG mapping tools.	1 day

Countries

China

Contacts

Primary ContactHaiyu Zhang, MD

zhanghaiyu819@163.com86-451-85555009

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026