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Clinical Trials/NCT05181787
NCT05181787
Unknown
Not Applicable

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

Yue LI1 site in 1 country200 target enrollmentDecember 20, 2021

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Atrial Fibrillation
Sponsor
Yue LI
Enrollment
200
Locations
1
Primary Endpoint
Biomarkers of atrial fibrillation complicated with stroke based on proteomics and metabolomics
Last Updated
4 years ago

Overview

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.

Registry
clinicaltrials.gov
Start Date
December 20, 2021
End Date
December 31, 2023
Last Updated
4 years ago
Study Type
Observational
Sex
All

Investigators

Sponsor
Yue LI
Responsible Party
Sponsor Investigator
Principal Investigator

Yue LI

Professor

First Affiliated Hospital of Harbin Medical University

Eligibility Criteria

Inclusion Criteria

  • Age 18 years or above
  • Admission with atrial fibrillation or clinic visit for atrial fibrillation
  • Receive routine anticoagulant therapy;
  • Signing the consent form

Exclusion Criteria

  • Pregnant women;
  • Lactating women;
  • Severe mitral stenosis;
  • Severe impairment of liver function;
  • Severe renal insufficiency;
  • Thyroid dysfunction requiring treatment.

Outcomes

Primary Outcomes

Biomarkers of atrial fibrillation complicated with stroke based on proteomics and metabolomics

Time Frame: 1 day

By combining proteomics and metabolomics data, the investigators were able to identify the common pathways involved in AF with stroke.

Secondary Outcomes

  • 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)

Study Sites (1)

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