跳至主要内容
临床试验/NCT06475547
NCT06475547招募中不适用

Inflammation and Postoperative Atrial Fibrillation in Cardiac Surgery

Odense University Hospital1 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2022年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
100
试验地点
1
主要终点
Differential expression of genes

研究概览

简要总结

Postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery, marked by an irregular and rapid heart rate, and associated with increased morbidity, longer hospital stays, and higher costs. Its complex pathophysiology involves atrial remodeling, inflammation, and autonomic dysregulation. Surgical trauma and cardiopulmonary bypass trigger an inflammatory response, releasing cytokines. Epicardial fat around the heart secretes pro-inflammatory cytokines, and its increased thickness is linked to higher inflammation and atrial fibrillation. This study uses RNA sequencing (RNA-seq) to profile gene expression in epicardial fat, identifying key genes involved in inflammation and metabolism. By comparing patients with and without POAF, RNA-seq reveals differentially expressed genes associated with postoperative atrial fibrillation.

详细描述

Postoperative Atrial Fibrillation (POAF) after Cardiac Surgery Postoperative atrial fibrillation is a common complication following cardiac surgery, characterized by irregular and often rapid heart rate. It is associated with increased morbidity, prolonged hospital stays, and higher healthcare costs. The pathophysiology of POAF is complex and multifactorial, involving atrial structural and electrical remodeling, inflammation, and autonomic dysregulation.

Inflammation and Epicardial Fat Inflammation plays a significant role in the development of POAF. Surgical trauma and cardiopulmonary bypass trigger a systemic inflammatory response, releasing cytokines and other inflammatory mediators. Epicardial fat, the visceral fat depot around the heart, is an active endocrine organ secreting pro-inflammatory cytokines and adipokines. Increased epicardial fat thickness is associated with higher levels of inflammation and has been implicated in the pathogenesis of atrial fibrillation.

RNA isolation and sequencing RNA sequencing (RNA-seq) can be used to investigate gene expression in epicardial fat in several impactful ways. RNA-seq can profile gene expression to identify active genes in epicardial fat and their expression levels, revealing key genes involved in inflammation and metabolism. By comparing gene expression between groups, such as patients with and without POAF, RNA-seq can identify differentially expressed genes associated with atrial fibrillation.

RNA-seq analyses The RNA sequencing data files were aligned to the hg38 reference genome using the Spliced Transcripts Alignment to a Reference (STAR) aligner and read counts in genes were quantified. The resulting data matrix with unnormalized counts was loaded into RStudio together with patient metadata information (e.g., age, gender, BMI, smoking). Differential expression analyses were conducted with DESeq2 using adjustment for different variables, including type of tissue, age of patients, gender, and BMI.

Hypothesis The hypothesis that POAF may be influenced by pre-existing inflammation in epicardial fat, in addition to the inflammation caused by surgical trauma.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 99 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age > 18
  • Informed consent

排除标准

  • Incompetent individuals
  • General poor health condition at the time of inclusion
  • Reoperation

结局指标

主要结局

Differential expression of genes

时间窗: The sample is taken at the time of surgery.

The primary endpoint of this study is to identify differentially expressed (DE) genes using RNA sequencing (RNA-seq) data. Post-sequencing, we will utilize the default settings and statistical methods provided by DESeq2 to determining statistically significant differences in gene expression between the experimental conditions. The gene signal is measured in normalized counts per kilobase or in Fragments Per Kilobase of transcript per Million mapped reads.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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