Department of Cardiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Department of Cardiac Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
J Cardiothorac Surg. 2024 Jun 6;19(1):321. doi: 10.1186/s13019-024-02804-w.
Long QT Syndrome (LQTS) and Beckwith-Wiedemann Syndrome (BWS) are complex disorders with unclear origins, underscoring the need for in-depth molecular investigations into their mechanisms. The main aim of this study is to identify the shared key genes between LQTS and BWS, shedding light on potential common molecular pathways underlying these syndromes.
The LQTS and BWS datasets are available for download from the GEO database. Differential expression genes (DEGs) were identified. Weighted gene co-expression network analysis (WGCNA) was used to detect significant modules and central genes. Gene enrichment analysis was performed. CIBERSORT was used for immune cell infiltration analysis. The predictive protein interaction (PPI) network of core genes was constructed using STRING, and miRNAs regulating central genes were screened using TargetScan.
Five hundred DEGs associated with Long QT Syndrome and Beckwith-Wiedemann Syndrome were identified. GSEA analysis revealed enrichment in pathways such as T cell receptor signaling, MAPK signaling, and adrenergic signaling in cardiac myocytes. Immune cell infiltration indicated higher levels of memory B cells and naive CD4 T cells. Four core genes (CD8A, ICOS, CTLA4, LCK) were identified, with CD8A and ICOS showing low expression in the syndromes and high expression in normal samples, suggesting potential inverse regulatory roles.
The expression of CD8A and ICOS is low in long QT syndrome and Beckwith-Wiedemann syndrome, indicating their potential as key genes in the pathogenesis of these syndromes. The identification of shared key genes between LQTS and BWS provides insights into common molecular mechanisms underlying these disorders, potentially facilitating the development of targeted therapeutic strategies.
长 QT 综合征 (LQTS) 和贝克威思-威德曼综合征 (BWS) 是起源不明的复杂疾病,这凸显了深入研究其机制的必要性。本研究的主要目的是确定 LQTS 和 BWS 之间的共有关键基因,揭示这些综合征潜在的共同分子途径。
从 GEO 数据库下载 LQTS 和 BWS 数据集。鉴定差异表达基因(DEGs)。使用加权基因共表达网络分析(WGCNA)检测显著模块和核心基因。进行基因富集分析。使用 CIBERSORT 进行免疫细胞浸润分析。使用 STRING 构建核心基因的预测蛋白互作(PPI)网络,使用 TargetScan 筛选调节核心基因的 miRNAs。
确定了与长 QT 综合征和贝克威思-威德曼综合征相关的 500 个差异表达基因。GSEA 分析显示,在心肌细胞中 T 细胞受体信号、MAPK 信号和肾上腺素能信号等途径中存在富集。免疫细胞浸润表明记忆 B 细胞和幼稚 CD4 T 细胞水平较高。鉴定出 4 个核心基因(CD8A、ICOS、CTLA4、LCK),其中 CD8A 和 ICOS 在综合征中表达较低,在正常样本中表达较高,提示潜在的反向调节作用。
CD8A 和 ICOS 在长 QT 综合征和贝克威思-威德曼综合征中的表达较低,表明它们可能是这些综合征发病机制中的关键基因。LQTS 和 BWS 之间共有关键基因的鉴定为这些疾病的共同分子机制提供了深入了解,可能有助于开发靶向治疗策略。