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Updated: Nov 26, 2025
Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Identification of Circulating lncRNA Expression Profiles in Patients with Atrial Fibrillation
Zhong-Bao Ruan1, Fei Wang1, Bing-di Gongben1
1Department of Cardiology, Jiangsu Taizhou People's Hospital, Taizhou 225300, China.
Purpose:
To investigate the expression profiles of long noncoding RNAs (lncRNAs) in patients with atrial fibrillation (AF).
Methods:
The peripheral blood monocytes of a total of 20 patients with AF and 20 healthy subjects were collected for gene chip technology to detect differentially expressed lncRNAs from 2017.01 to 2017.08. Reverse transcription polymerase chain reaction (RT-PCR) was applied for further verification. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to identify the functions of differentially expressed genes and related pathways.
Results:
There were 19 lncRNAs differentially expressed (FC ≥ 2, P < 0.05), of which 6 were upregulated and 13 were downregulated. Two of three upregulated lncRNAs (P = 0.014 and 0.006 for HNRNPU-AS1 and LINC00861, respectively) and two of three downregulated lncRNAs (P = 0.028 and 0.032 for RP11-443B7.3 and CTD-2616J11.14, respectively) were randomly confirmed by RT-PCR and showed a significantly different expression with the RNA-seq results. GO analysis showed that differentially expressed genes enriched in differentially expressed transcripts in biological process were mainly involved in metabolic process, catabolic process, and biosynthetic process. Differentially expressed transcripts in cellular component were mainly involved in nuclear lumen, organelle lumen, and cytoplasm. Differentially expressed transcripts in molecular function were mainly involved in protein binding, RNA binding, and molecular function. KEGG enrichment pathway analysis showed that some of the enrichment pathways associated with differentially expressed lncRNAs include calcium signaling pathway, NF-kappa B signaling pathway, cytokine-cytokine receptor interaction, and Toll-like receptor signaling pathway. HNRNPU-AS1 was the highest positive correlated lncRNA in the networks.
Conclusions:
The expression of lncRNA in peripheral blood of AF patients is different from that of normal people. The physiological functions of these differentially expressed lncRNAs may be related to the pathogenesis of AF, which provide experimental basis and new therapeutic target for prognosis and treatment of patients with AF. HNRNPU-AS1 may play an important role in the pathophysiology and mechanisms of AF.
