Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, People's Republic of China.
Thoracic and Cardiac Surgery, Southwest Hospital, The First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, People's Republic of China.
J Cell Mol Med. 2024 Jun;28(12):e18483. doi: 10.1111/jcmm.18483.
The development of high-throughput technologies has enhanced our understanding of small non-coding RNAs (sncRNAs) and their crucial roles in various diseases, including atrial fibrillation (AF). This study aimed to systematically delineate sncRNA profiles in AF patients. PANDORA-sequencing was used to examine the sncRNA profiles of atrial appendage tissues from AF and non-AF patients. Differentially expressed sncRNAs were identified using the R package DEGseq 2 with a fold change >2 and p < 0.05. The target genes of the differentially expressed sncRNAs were predicted using MiRanda and RNAhybrid. Gene Ontology (GO) categories and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed. In AF patients, the most abundant sncRNAs were ribosomal RNA-derived small RNAs (rsRNAs), followed by transfer RNA-derived small RNAs (tsRNAs), and microRNAs (miRNAs). Compared with non-AF patients, 656 rsRNAs, 45 miRNAs, 191 tsRNAs and 51 small nucleolar RNAs (snoRNAs) were differentially expressed in AF patients, whereas no significantly differentially expressed piwi-interacting RNAs were identified. Two out of three tsRNAs were confirmed to be upregulated in AF patients by quantitative reverse transcriptase polymerase chain reaction, and higher plasma levels of tsRNA 5006c-LysCTT were associated with a 2.55-fold increased risk of all-cause death in AF patients (hazard ratio: 2.55; 95% confidence interval, 1.56-4.17; p < 0.001). Combined with our previous transcriptome sequencing results, 32 miRNA, 31 snoRNA, 110 nucleus-encoded tsRNA, and 33 mitochondria-encoded tsRNA target genes were dysregulated in AF patients. GO and KEGG analyses revealed enrichment of differentially expressed sncRNA target genes in AF-related pathways, including the 'calcium signaling pathway' and 'adrenergic signaling in cardiomyocytes.' The dysregulated sncRNA profiles in AF patients suggest their potential regulatory roles in AF pathogenesis. Further research is needed to investigate the specific mechanisms of sncRNAs in the development of AF and to explore potential biomarkers for AF treatment and prognosis.
高通量技术的发展增强了我们对小非编码 RNA(sncRNA)的理解,以及它们在包括心房颤动(AF)在内的各种疾病中的关键作用。本研究旨在系统描绘 AF 患者的 sncRNA 图谱。使用 PANDORA-seq 检查来自 AF 和非 AF 患者的心房附件组织中的 sncRNA 图谱。使用 R 包 DEGseq 2 鉴定差异表达的 sncRNA,fold change >2 和 p < 0.05。使用 MiRanda 和 RNAhybrid 预测差异表达 sncRNA 的靶基因。进行基因本体论(GO)类别和京都基因与基因组百科全书(KEGG)途径分析。在 AF 患者中,最丰富的 sncRNA 是核糖体 RNA 衍生的小 RNA(rsRNA),其次是转移 RNA 衍生的小 RNA(tsRNA)和 microRNA(miRNA)。与非 AF 患者相比,AF 患者中 656 个 rsRNA、45 个 miRNA、191 个 tsRNA 和 51 个小核仁 RNA(snoRNA)差异表达,而没有鉴定到明显差异表达的 piwi 相互作用 RNA。通过定量逆转录聚合酶链反应验证,其中两个 tsRNA 在 AF 患者中上调,并且 tsRNA 5006c-LysCTT 的血浆水平较高与 AF 患者全因死亡风险增加 2.55 倍相关(风险比:2.55;95%置信区间,1.56-4.17;p < 0.001)。结合我们之前的转录组测序结果,在 AF 患者中,32 个 miRNA、31 个 snoRNA、110 个核编码 tsRNA 和 33 个线粒体编码 tsRNA 靶基因失调。GO 和 KEGG 分析显示,差异表达的 sncRNA 靶基因在 AF 相关途径中富集,包括“钙信号通路”和“心肌细胞中的肾上腺素能信号传导”。AF 患者中失调的 sncRNA 图谱表明它们在 AF 发病机制中具有潜在的调节作用。需要进一步研究以探讨 sncRNA 在 AF 发展中的具体机制,并探索 AF 治疗和预后的潜在生物标志物。